Tiger Analytics is looking for experienced Data Scientists 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 Senior/Lead Data Scientist with strong expertise in advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, modelling and EDA experience solve complex business problems in supply chain optimization.. 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. Key Responsibilities - Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. - Design and implement graph-based models to analyze, optimize, and improve supply chain networks. - Apply advanced data science techniques to identify patterns, inefficiencies, and bottlenecks across logistics and operations. - Build scalable data pipelines and analytical models using PySpark for large-scale supply chain datasets. - Develop predictive and prescriptive models to support decision-making in areas such as demand forecasting, routing, and inventory management. - Collaborate with cross-functional teams including operations, product, and engineering to translate business challenges into analytical solutions. - Communicate insights and recommendations clearly to stakeholders through data storytelling, visualizations, and presentations. - Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. - Collaborate, coach, and learn with a growing team of experienced Data Scientists. - Stay connected with external sources of ideas through conferences and community engagements

Tiger Analytics is looking for experienced Data Scientists 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 Senior/Lead Data Scientist with strong expertise in advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, modelling and EDA experience solve complex business problems in supply chain optimization.. 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. Key Responsibilities - Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. - Design and implement graph-based models to analyze, optimize, and improve supply chain networks. - Apply advanced data science techniques to identify patterns, inefficiencies, and bottlenecks across logistics and operations. - Build scalable data pipelines and analytical models using PySpark for large-scale supply chain datasets. - Develop predictive and prescriptive models to support decision-making in areas such as demand forecasting, routing, and inventory management. - Collaborate with cross-functional teams including operations, product, and engineering to translate business challenges into analytical solutions. - Communicate insights and recommendations clearly to stakeholders through data storytelling, visualizations, and presentations. - Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. - Collaborate, coach, and learn with a growing team of experienced Data Scientists. - Stay connected with external sources of ideas through conferences and community engagements

• Interact with product managers and software developers to gather requirements; • Coordinate with the software engineering team on data collection, cleaning, and usage for internal projects; • Analyze business outcomes or design and manage new studies; • Transform data into formats more suitable for analysis; • Explore large public regulatory datasets to extract actionable insights; • Oversee and design multiple proofs of concept for predictive/prescriptive or AI projects; • Apply machine learning techniques to build predictive models; • Create reports and presentations for business stakeholders; • Correlate related datasets to identify actionable outcomes;

• Leverage data-driven insights to guide strategic planning and operational improvements. • Manage and mentor a team of data scientists and actuarial analytic professionals, fostering a culture of innovation, collaboration, and continuous improvement. • Serve as the enterprise-wide Product Owner for Akur8, ensuring optimal usage and alignment with business goals. • Develop and maintain predictive modeling policies, procedures, and governance frameworks. • Drive the creation of Akur8-ready datasets from AAIS databases and ensure data integrity and readiness for modeling. • Lead cross-functional project teams as a Project Sponsor, ensuring alignment, communication, and delivery of key milestones. • Collaborate with actuarial, product, and regulatory teams to develop filing materials and support state filings for Akur8 use-cases. • Translate complex data into clear, actionable business recommendations for senior leadership. • Champion the use of advanced analytics tools and methodologies to support pricing and underwriting decisions. • Represent AAIS in industry forums and contribute to thought leadership in predictive modeling and pricing strategy. • Perform additional duties as assigned or requested. • Manage a Team Lead, coach, and develop a team to deliver high performance and support individual growth. • Set clear goals and expectations, monitor progress, and provide regular feedback. • Foster a positive, inclusive, and accountable team culture. • Manage day-to-day operations, ensure alignment with department objectives, and remove barriers to performance. • Support resource planning, workload distribution, and prioritization of tasks. • Facilitate regular team meetings, one-on-one check-ins, and performance conversations. • Identify and address performance issues in a timely and constructive manner. • Partner with Human Resources on talent-related matters such as hiring, onboarding, development, employee relations, and performance management. • Encourage collaboration, knowledge sharing, and continuous improvement within the team. • Represent the team’s needs and perspectives in cross-functional discussions. • Ensure compliance with company policies, procedures, and quality standards.