Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives. The ideal candidate will have strong experience with AWS services, Databricks, and Snowflake.

Key Responsibilities:

• Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
• Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements.
• Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable data solutions.
• Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.

• 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
• Hands-on experience in designing and building data pipelines
• Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
• Strong experience with Databricks, Pyspark for data processing and analytics.
• Solid understanding of data modeling, database design principles, and SQL and Spark SQL.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
• Strong problem-solving skills and attention to detail.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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Tiger Analytics is looking for experienced Telematics Experts to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

• Evaluate the incoming telematics data sets for availability of attributes required for trip calculations, identifying potential gaps or inconsistencies.
• Provide guidance to the team on interpreting telematics datasets and correlations between various telematics attributes, to identify data dependencies and relationships.
• Collaborate with data engineers to develop efficient data cleaning and quality rules, ensuring data quality and consistency.
• Assist in creating data models to identify and communicate telematics data insights
• Skills required:
• Deep understanding of telematics data, including its structure, attributes, and relationships
• Excellent communication and consulting skills
• (Preferred) Understanding of data engineering principles and practices, preferably with tools like Databricks.
• (Preferred) Proficiency in programming languages such as Python, SQL, or Scala.
• (Preferred) Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

• Product Owner for Analytics Products including but not limited to Product Management - Technology evaluation & business case preparation/pitch budgeting, Product Strategy and Roadmap, GTM, Data platforms, Data Science Solutions, and Leadership reporting
• Consulting, Commercial Excellence & strategy, Sales Force Effectiveness
• Digital Transformation initiatives across the organization
• Digital/Omni-channel customer Analytics enterprise-level scalable solutions
• Identify & influence business/marketing objectives with scalable, innovative digital solutions across multiple brands/therapies.
• Collaborate with business stakeholders to identify data-driven opportunities for improvement and innovation.
• Identify opportunities for automation and process optimization using data-driven approaches.
• Obtain, refine & analyze brand & market data from solution providers like IQVIA, Komodo, etc. support business teams in data-driven decision-making. Demonstrate a deep understanding of the competitive environment, customer market trends, and consumer insights.
• Design and implement end-to-end analytics solutions to support commercial business objectives, including data curation, data analysis and manipulation, database modeling, visualization, and deployment

• 16-20 years of professional work experience with at least 10 years in data analytics
• Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approach
• Deep hands-on expertise in Data Architecture, Data Modeling, and Datawarehouse Fundamentals.
• Extensive hands-on experience in SQL, data manipulation, Business Intelligence tooling, and ETL pipeline development.
• Solid understanding of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams
• Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
• Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus
• Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
• Graduate in Business Analytics or MBA or equivalent work experience

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

The Tiger Analytics team is looking for a BI Technical Product Owner to deliver innovation and tools to global business teams. This is a cross functional role that requires strong interpersonal skills and the ability to liaison with technical teams and interact with internal clients.

Job Duties:

• Develop and manage LookML models, dashboards, and visualizations in Looker to deliver insightful analytics to stakeholders.
• Collaborate with business users to gather requirements and translate them into technical specifications for reporting and data solutions.
• Enhance existing reports and dashboards, focusing on performance optimization and user experience improvements.
• Perform data analysis to uncover trends, patterns, and opportunities that can drive business improvements.
• Work closely with data engineers to ensure data integrity and availability for reporting purposes.
• Troubleshoot and resolve issues related to Looker dashboards and data sources as they arise.
• Create documentation for reports, dashboards, and best practices to guide end-users in using Looker efficiently.
• Stay current on Looker updates and related technologies, leveraging new features to enhance reporting capabilities.

• Bachelor’s degree in Computer Science or related field.
• 8-10 years of experience in a Looker studio or related role delivering BI/Reporting projects in an enterprise or consulting role
• Strong ability to analyze complex datasets and extract actionable insights.
• Expertise in Looker development, including LookML and dashboard creation.
• Strong proficiency in SQL for querying and manipulating databases.
• Familiarity with cloud platforms, such as Google Cloud Platform (GCP) or Azure.
• Experience with data modeling techniques.
• Knowledge of additional BI tools like Tableau or Power BI is a plus.
• Excellent problem-solving skills for troubleshooting data-related issues.
• Excellent communication skills

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background to add to our team.

• Hands on experience with credit risk/strategies
•  Develops, manages, and maintains reporting and oversight of consumer credit risk appetite, tolerance, and thresholds. This includes the awareness of consumer credit strategies and the implications of changes in strategy to the profitability of the enterprise.
• Evaluates credit loss assumptions for benign and stress case scenarios used for strategy development.
• Gathers and analyzes macro-economic data, competitive benchmarking data and determines impacts to ongoing portfolio performance and recommend credit strategy changes as appropriate.
• Uses statistical techniques such as decision trees, regression and other advanced predictive modeling, A/B testing to optimize credit risk.
• Develops, implements, and maintains processes for targeted review of credit strategies across all consumer lending products, including performing a risk assessment on the overall portfolio. Collaborates with credit strategy teams to mitigate any identified credit risk concerns. Reports finding through the appropriate, established governance processes.
• Develops and maintains credit-risk oversight processes, policies, and procedures in accordance with the overall Corporate Risk Management framework and system.
• Interacts with business partners, senior management, governance committees, and regulators to present (both orally and written) analytic findings and portfolio-risk ranking processes in a clear, complete, and concise manner.
• Implements and maintains independent credit risk portfolio reporting across all consumer lending products.
• 8+ years of experience in Statistics, Economics, Engineering, quantitative field, equivalent internship, or research experience.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. Now hiring for multiple opportunities in Technology Consulting and Solution Delivery.

Responsibilities

• Manage large-scale data analytics client engagements in a global delivery model
• Work with clients’ Technology and Program teams to craft the engagement planning and execution roadmap
• Work with business executives to understand business requirements and constraints for the success of the program.
• Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value.
• Responsible for presentations to senior management and client executives, communicating results to client stakeholders, and developing plans to help operationalize the solutions.
• Ideating problem solutions leveraging modern trends in data and analytics solutions and related patterns
• Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions
• Steer discussions in strategizing and implementing digital and cloud solutions.
• Collaborating with business / IT stakeholders and product managers to ideate software

• >15 years of professional work experience with greater than 10 years in the technology consulting space focusing on data and analytics
• Prior experience in engaging with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approach
• Experienced in large-scale data migration, cloud migration, and enterprise-scale implementation projects
• Experience in working with leading data and analytics technologies and platforms
• Solid understanding of cloud data platforms - Azure/ AWS/ GCP
• Strong experience in managing senior client stakeholders and engagement relationship
• Excellence in delivery methodologies and sensitivities for time to market
• Reflects solid understanding of engagement and program metrics tracking and estimation methodologies
• Strong project management and team management skills and ability to work with global teams
• Understanding the application of project mgmt. and agile methodologies
• Ability to work in a large matrixed organization and steer the path to success
• Excellent communication, presentation, and interpersonal skills.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. Now hiring for multiple opportunities in Technology Consulting and Solution Delivery.

Responsibilities

• Manage large-scale data analytics client engagements in a global delivery model
• Work with clients’ Technology and Program teams to craft the engagement planning and execution roadmap
• Work with business executives to understand business requirements and constraints for the success of the program.
• Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value.
• Responsible for presentations to senior management and client executives, communicating results to client stakeholders, and developing plans to help operationalize the solutions.
• Ideating problem solutions leveraging modern trends in data and analytics solutions and related patterns
• Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions
• Steer discussions in strategizing and implementing digital and cloud solutions.
• Collaborating with business / IT stakeholders and product managers to ideate software

• >15 years of professional work experience with greater than 10 years in the technology consulting space focusing on data and analytics
• Prior experience in engaging with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approach
• Experienced in large-scale data migration, cloud migration, and enterprise-scale implementation projects
• Experience in working with leading data and analytics technologies and platforms
• Solid understanding of cloud data platforms - Azure/ AWS/ GCP
• Strong experience in managing senior client stakeholders and engagement relationship
• Excellence in delivery methodologies and sensitivities for time to market
• Reflects solid understanding of engagement and program metrics tracking and estimation methodologies
• Strong project management and team management skills and ability to work with global teams
• Understanding the application of project mgmt. and agile methodologies Ability to work in a large matrixed organization and steer the path to success
• Excellent communication, presentation, and interpersonal skills.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking an experienced Data Science Manager to lead our Pricing and Promotion Optimization team. In this role, you will drive the development and execution of product strategies that enhance pricing and promotion initiatives. The ideal candidate will have a strong background in product management with a focus on analytics-driven decision-making, as well as proven experience in roadmap planning and cross-functional team leadership.

Key Responsibilities:

• Work on the latest applications of data science to solve business problems in the optimization space for a CPG client
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
• Product Roadmap Development: Create, manage, and communicate a clear roadmap and strategic vision for the pricing and promotion optimization product, aligned with business goals and market trends. Key activities include developing, maintaining, enhancing and scaling the product to various Markets.
• Quarterly Planning: Design and implement quarterly plans, ensuring alignment with product goals, KPIs, and timelines.
• Team Leadership: Lead and mentor a cross-functional team of 5-6 members, fostering a collaborative and high-performance environment.
• Pricing & Promotion Strategy: Define and implement an optimization framework to optimize pricing and promotional Strategies.
• Stakeholder Collaboration: Work closely with internal teams, including Marketing, Sales, Engineering, and Analytics, to gather requirements and translate them into actionable plans.
• Market and Competitive Analysis:Conduct ongoing analysis of market trends and competitor strategies to identify opportunities and gaps.
• Performance Monitoring: Track and analyze key metrics to ensure product success, and identify areas for improvement to drive product growth.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.

• 8+ years of Data Science experience, and 5+ years of experience in product management, with a focus on pricing, promotions, or optimization.
• Graduate Degree in Data Science, Computer Science, or a related field is required
• Proven experience managing a team and leading product initiatives.
• Skilled in creating product roadmaps, setting priorities, and executing strategic plans.
• Proven experience managing a team and leading product initiatives.
• Analytical Mindset: Strong data analysis skills, with experience in pricing strategies and optimization.
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
• Experience in Azure environments and Databricks is a plus
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
• Be proactive, curious, can-do attitude, flexible personality

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking an experienced Data Science Manager to lead our Pricing and Promotion Optimization team. In this role, you will drive the development and execution of product strategies that enhance pricing and promotion initiatives. The ideal candidate will have a strong background in product management with a focus on analytics-driven decision-making, as well as proven experience in roadmap planning and cross-functional team leadership.

Key Responsibilities:

• Work on the latest applications of data science to solve business problems in the optimization space for a CPG client
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
• Product Roadmap Development: Create, manage, and communicate a clear roadmap and strategic vision for the pricing and promotion optimization product, aligned with business goals and market trends. Key activities include developing, maintaining, enhancing and scaling the product to various Markets.
• Quarterly Planning: Design and implement quarterly plans, ensuring alignment with product goals, KPIs, and timelines.
• Team Leadership: Lead and mentor a cross-functional team of 5-6 members, fostering a collaborative and high-performance environment.
• Pricing & Promotion Strategy: Define and implement an optimization framework to optimize pricing and promotional Strategies.
• Stakeholder Collaboration: Work closely with internal teams, including Marketing, Sales, Engineering, and Analytics, to gather requirements and translate them into actionable plans.
• Market and Competitive Analysis:Conduct ongoing analysis of market trends and competitor strategies to identify opportunities and gaps.
• Performance Monitoring: Track and analyze key metrics to ensure product success, and identify areas for improvement to drive product growth.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.
• Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

• 8+ years of Data Science experience, and 5+ years of experience in product management, with a focus on pricing, promotions, or optimization.
• Graduate Degree in Data Science, Computer Science, or a related field is required
• Proven experience managing a team and leading product initiatives.
• Skilled in creating product roadmaps, setting priorities, and executing strategic plans.
• Proven experience managing a team and leading product initiatives.
• Analytical Mindset: Strong data analysis skills, with experience in pricing strategies and optimization.
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
• Experience in Azure environments and Databricks is a plus
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
• Be proactive, curious, can-do attitude, flexible personality

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking an experienced Senior Data Scientist with a strong background in the Retail CPG and Agro-industry. You will work closely with cross-functional teams to analyze, model, and drive data-driven insights that enhance decision-making and create strategic advantages.

Key Responsibilities:

• Work on the latest applications of data science to solve business problems in the Retail and CPG space.
• Design and implement advanced predictive models to analyze trends and behaviors in the Retail CPG and Agro sectors.
• Collaborate with stakeholders across data engineering, product, and business teams to understand objectives and provide data-driven solutions.
• Develop data models and pipelines to support analytical and machine-learning initiatives.
• Leverage domain knowledge in Retail CPG and Agro to produce insights and identify growth opportunities.
• Prepare and present insights, recommendations, and data findings to technical and non-technical audiences.
• Maintain best practices in data science and machine learning, ensuring accuracy, quality, and compliance.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.
• Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

• 6-8+ years of hands-on experience in data science, with a focus on the Retail CPG and Agro- industry.
• Proficient in Python (pipeline creation, pytest, data manipulation with Pandas, etc.), R, SQL. Strong understanding of machine learning, predictive analytics, and statistical modeling.
• Domain Knowledge: In-depth knowledge of the Retail CPG industry, especially in Agro. Familiarity with industry-specific datasets, trends, and KPIs.
• Excellent communication skills with the ability to present data insights to a variety of audiences.
• Familiarity with cloud-based data platforms (AWS, Azure, Google Cloud)
• CI/CD Practices: Experience with continuous integration and deployment practices is a plus. Experience with model deployment and monitoring is a plus
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
• Be proactive, curious, can-do attitude, flexible personality

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking an experienced Lead Data Scientist with a strong background in the Retail CPG and Manufacturing industry. You will work closely with cross-functional teams to analyze, model, and drive data-driven insights that enhance decision-making and create strategic advantages.

Key Responsibilities:

• Work on the latest applications of data science to solve business problems in the Retail, CPG and Manufacturing space.
• Design and implement advanced predictive models to analyze trends and behaviors in the Retail CPG and Manufacturing sectors.
• Collaborate with stakeholders across data engineering, product, and business teams to understand objectives and provide data-driven solutions.
• Develop data models and pipelines to support analytical and machine-learning initiatives.
• Leverage domain knowledge in Retail CPG and Manufacturing to produce insights and identify growth opportunities.
• Prepare and present insights, recommendations, and data findings to technical and non-technical audiences.
• Maintain best practices in data science and machine learning, ensuring accuracy, quality, and compliance.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.
• Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

• 9-10 + years of strong hands-on work experience Manufacturing Experience.
• Should be able to lead domain conversations on a solution consulting angle.
• Should be proficient in Spanish Language.
• Proficient in Python (pipeline creation, pytest, data manipulation with Pandas, etc.), R, SQL. Strong understanding of machine learning, predictive analytics, and statistical modeling.
• Know typical data sets available and make recommendations by performing EDA upfront and suggest strategies around overall Data Wrangling and cleanup
• Domain Knowledge: In-depth knowledge of the Retail CPG industry, especially Smart Manufacturing Experience. Familiarity with industry-specific Data Systems - Manufacturing Control Tower, Manufacturing Systems around Global Shop Floor Tools, MES, historian, SAP etc
• Excellent communication skills with the ability to present data insights to a variety of audiences.
• Familiarity with cloud-based data platforms (AWS, Azure, Google Cloud)
• CI/CD Practices: Experience with continuous integration and deployment practices is a plus. Experience with model deployment and monitoring is a plus
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
• Be proactive, curious, can-do attitude, flexible personality

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking an experienced Lead Data Scientist to lead our Manufacturing team. The ideal candidate will have a quick learner, and has strong coding capabilities to add to our team.

Key Responsibilities:

• Work on the latest applications of data science to solve business problems in the Manufacturing team of the Retail and CPG space.
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
• Team Leadership: Lead and mentor a cross-functional team of 5-6 members, fostering a collaborative and high-performance environment.
• Stakeholder Collaboration: Work closely with internal teams, including Marketing, Sales, Engineering, and Analytics, to gather requirements and translate them into actionable plans.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.
• Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

• 10 + years of strong hands-on work experience - Smart Manufacturing Experience
• Should be able to lead domain conversations on a solution consulting angle 
• Should be fluent with Spanish Language.
• Know typical data sets available and make recommendations by performing EDA upfront and suggesting strategies around overall Data Wrangling and cleanup 
• Familiar with Manufacturing KPIs, Monitoring & Optimization
• Understands Data Systems - Manufacturing Control Tower, Manufacturing Systems around Global Shop Floor Tools, MES, historian, SAP etc. - E2E operations visibility, collaboration/ communication, reporting/dashboarding. advanced analytics
• Skilled in creating product roadmaps, setting priorities, and executing strategic plans.
• Proven experience managing a team and leading product initiatives.
• Analytical Mindset: Strong data analysis skills, with experience in pricing strategies and optimization.
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
• Experience in Azure environments and Databricks is a plus
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
• Be proactive, curious, can-do attitude, flexible personality

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
• Creating Scalable Machine Learning systems that are highly performant
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

• Bachelor's degree or higher in computer science or related, with 6+ years of work experience
• Ability to collaborate with Data Engineers and Data Scientists to build data and model pipelines and help run machine learning tests and experiments
• Ability to manage the infrastructure and data pipelines needed to bring ML solutions to production
• End-to-end understanding of applications being created
• Ability to maintain scalable machine learning solutions in production
• Ability to abstract the complexity of production for machine learning using containers
• Ability to troubleshoot production machine learning model issues, including recommendations for to retrain and revalidate
• Experience with Big Data Projects using multiple types of structured and unstructured data
• Ability to work with a global team, playing a key role in communicating problem context to the remote teams
• Excellent communication and teamwork skills

Additional Skills Required

• Python, Spark, Hadoop, and Docker with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design
• Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras
• Knowledge of MLflow, Airflow, and Kubernetes
• Experience with Cloud environments and knowledge of offerings such as AWS SageMaker OR Azure ML.
• Proficiency in statistical tools, relational databases, and expertise in programming languages (Python/SQL)

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

#LI-remote

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Tiger Analytics is looking for a fully remote experienced Telematics Data Scientist to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a part of our team, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

• Bachelor’s Degree in Computer Science or closely related field.
• 6 to 10 years of experience in Data Science.
• Experience with R, Python, or similar programming languages.
• Experience working in the areas of vehicle telematics, logistics, pattern detection in sensor or smartphone-connected data, and geospatial mapping.
• Experience with the development of computational algorithms to reduce computation time (e.g. MapReduce).
• Deep expertise with relevant geospatial packages (e.g. geopandas and rasterio in Python; maptools, spdep, or OpenStreetMap) is a major plus.
• Experience with popular machine learning and deep learning frameworks (e.g. H2O, TensorFlow, PySpark, PyTorch, MXNet, Caffe).
• Understanding of the challenges in data harmonization and feature preparation from variety of 3rd party providers
• Experience with distributed storage and database platforms.
• Understanding how the telematics data gets leveraged downstream for BI (trip completion) and analytics purposes (pricing)
• Experience working with weather and atmospheric data.
• Experience with batch, micro-batch, streaming, and distributed processing platforms such as Flink, Hadoop, Kafka, Spark, Hudi, AWS EMR, Arrow, or Storm.
• Experience working within Amazon Web Services (AWS) cloud computing environments.
• Experience with terabytes, petabytes, or even exabytes of data.
• Familiarity with containerization tools such as Docker and Kubernetes.
• Background in spatial optimization algorithms is a major plus.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Databricks Architect to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem.

• 12+ years of experience in Architecture, design and data engineering development of large-scale data ecosystems.
• Databricks Design and Architecture: Design and architect scalable and secure Databricks solutions platform, optimizing performance, cost, and reliability.
• Hands on Databricks/Dataops Architect that can help reduce consumption, and improve performance issues. Can help build monitoring tools.
• Good exposure to AWS. Strong comm and leadership skills and Self driven and work independently.
• Experience in Performance initiatives and drive recommendations (identify tuning opportunities, creation of performance environment etc.
• Implement DevOps process on the Databricks platform , harmonized and curation pipelines across all the programs.
• Experience with hadoop environment.
• Experience with DevOps tools and practices, including CI/CD pipeline setup using Git, Terraform, GitHub Actions, or Jenkins.

• Core Skills:- Databricks platform knowledge, performance optimization, DevOps, Unity Catalog migration implementation exposure, Spark Streaming pipeline design exposure

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

• Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
• Work directly with client stakeholders to translate business problems into high-level analytics solution designs
• Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
• Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
• You will be responsible for account management, client relationships, and account growth
• You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value
• Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
• Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
• Experience working with all levels of management and consulting with key business stakeholders.
• Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
• Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
• You will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth. You will be responsible for P&L for your account portfolios managing revenue and margin goals

• 10-16 years of professional work experience with at least 9 years in data analytics
• Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
• Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
• Solid understanding of statistical and machine learning algorithms
• Strong knowledge of Lifescience and Pharma domain
• Strong project management and team management skills and ability to work with global teams
• Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
• Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
• Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
• Graduate in Business Analytics or MBA or equivalent work experience

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

The Data Stewardwill be responsible for overseeing data governance, quality, and integrity within the organization. This role will involve working closely with data owners, business units, and IT teams to ensure that data is properly managed, classified, and maintained. The Data Steward will also implement data policies, standards, and procedures to ensure compliance with internal and external data regulations.

Key Responsibilities:

Data Governance and Stewardship:

• Implementation of data governance frameworks, ensuring data is accurate, consistent, and securely managed across the organization.
• Establish and maintain data stewardship roles and responsibilities within business units and functional areas.
• Define data standards, policies, and processes for managing data assets, ensuring compliance with regulatory requirements

Data Quality and Integrity:

• Oversee data quality initiatives to ensure the accuracy, completeness, consistency, and reliability of key data sets.
• Monitor and track data quality metrics, and work with teams to resolve data quality issues through root cause analysis and corrective actions.
• Develop and maintain data dictionaries, glossaries, and metadata repositories to ensure transparency and standardization of key data definitions.

Data Lifecycle Management:

• Manage the lifecycle of critical data elements, including data acquisition, storage, usage, and retirement.
• Ensure data security and privacy practices are embedded in the management of data assets, aligning with company and regulatory standards.

• 8+ years of hands-on experience in creating data governance policies, and procedures
• 5+ years of experience in implementing data governance frameworks and leading data quality initiatives.
• Experience with managing database, data architecture, or big data systems
• Experience with SQL, python or any other programming language
• Experience with Databricks or any other cloud platform
• Experience in Data Dictionary development, Technical and business data cataloging
• Experience in drafting and managing data policies, business data processes and business glossaries
• Solid understanding of data warehouse, ETL, data cleansing, and cloud architecture (Azure preferred)
• Experience with various data governance tools such as Collibra, Master Data Management (MDM), Informatica
• Strong analytical and problem-solving skills with the ability to translate business needs into data governance solutions.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is looking for a fully remote experienced Telematics Data Scientist to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a part of our team, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

• Bachelor’s Degree in Computer Science or closely related field.
• 8 to 12 years of experience in Consulting.
• 5 years of experience in Telematics
• Experience with R, Python, or similar programming languages.
• Experience working in the areas of vehicle telematics, logistics, pattern detection in sensor or smartphone-connected data, and geospatial mapping.
• Experience with the development of computational algorithms to reduce computation time (e.g. MapReduce).
• Deep expertise with relevant geospatial packages (e.g. geopandas and rasterio in Python; maptools, spdep, or OpenStreetMap) is a major plus.
• Experience with popular machine learning and deep learning frameworks (e.g. H2O, TensorFlow, PySpark, PyTorch, MXNet, Caffe).
• Understanding of the challenges in data harmonization and feature preparation from variety of 3rd party providers
• Experience with distributed storage and database platforms.
• Understanding how the telematics data gets leveraged downstream for BI (trip completion) and analytics purposes (pricing)
• Experience working with weather and atmospheric data.
• Experience with batch, micro-batch, streaming, and distributed processing platforms such as Flink, Hadoop, Kafka, Spark, Hudi, AWS EMR, Arrow, or Storm.
• Experience working within Amazon Web Services (AWS) cloud computing environments.
• Experience with terabytes, petabytes, or even exabytes of data.
• Familiarity with containerization tools such as Docker and Kubernetes.
• Background in spatial optimization algorithms is a major plus.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

See more jobs at Tiger Analytics

Apply for this job

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

Responsibilities:

• Collaboration & Leadership: Coordinate with digital marketing, product management, and data science teams; mentor junior team members.
• Digital Marketing Strategy: Facilitate design thinking workshops to build omni channel marketing product strategy.
• Consulting services for clients on roadmap development and project plans for Marketing frameworks and Data Driven solutions
• Program Management for the Marketing Analytics team, overseeing the planning and implementation of various projects
• Reporting status to senior leadership on various projects, clearly articulating any challenges, roadblocks to meeting the scope, timelines and benefits
• Create visually appealing presentations and deliver to executive leadership
• Data Analysis & Insights: Analyze data from Google Analytics, Adobe Analytics, and other platforms; implement A/B testing; generate insights for marketing strategies.
• Market Research: Stay updated on industry trends; conduct competitive analysis to support decision-making.

• 8 to 10 years of experience in marketing strategy and program management with a focus on digital analytics.
• Experience working with digital analytics tools such as Google Analytics and Adobe Analytics is preferred
• Experience in designing and facilitating design thinking workshops using Mural board
• Having Pharma and/or digital marketing background is preferred
• Consulting experience is a big plus
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Strong analytical skills with the ability to interpret complex data and provide actionable insights.
• Building project plans using MS Project or Excel
• Experience with JIRA is a plus
• Experience with data visualization and reporting tools (e.g., Tableau, Power BI) good to have
• Ability to work independently and as part of a team in a fast-paced environment.
• Strong problem-solving skills and a proactive approach to learning and development.
• Education: Bachelor’s degree in Marketing, Business, Data Analytics, or a related field. A Master’s degree or relevant certifications is a plus

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

See more jobs at Tiger Analytics

Apply for this job

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

As a Data Analyst, you will directly work with key client stakeholders to define the business problems, analysis requirements, and determine solution requirements. You will be responsible for ensuring business value and communicating results, etc.

• 5 to 7 years of work experience in the space of data analytics. Should be able to work independently with client business and analytics stakeholders.
• Experience in working with Supplychain.
• Strong experience on Python, SQL and/or visualization tools such as PowerBI, or Tableau.
• Ability to understand client’s business problems, working as part of a global team and perform project related studies and analysis.
• Attention to details, hands-on deep dive analysis, and strong communication skills.
• Adhere to Analytics Lifecycle and best practices.
• A strong aptitude for story telling through the analysis of data.
• Hands-on analytical experience with a proven track record of results.
• Demonstrated ability to translate strategy into action; excellent analytical skills and an ability to communicate complex issues in a simple way and to orchestrate plans to resolve issues & mitigate risks
• Bachelor's or higher in data analytics or equivalent work experience.
• Preferred experience with cloud platforms, such as AWS or Azure.

Responsibilities

• Create documentation of analytics use cases.
• Commissioning and decommissioning of data sets.
• Helping develop reports and analysis.
• Manage and design the reporting environment, including data sources, security, and metadata.
• Generating reports from single or multiple systems.
• Troubleshooting the reporting database environment and reports.
• Evaluating changes and updates to source production systems.
• Training end-users on new reports and dashboards.
• Providing technical expertise in data storage structures, data mining, and data cleansing.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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