Data Science Manager

Leading data science initiatives to transform raw data into actionable insights for informed decision-making

• Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
• Developing and implementing data-driven strategies to enhance business growth and performance
• Utilizing machine learning and artificial intelligence tools to create predictive models and data visualizations
• Overseeing the design and development of robust data solutions, confirming data quality and integrity
• Collaborating with cross-functional teams to identify opportunities for data utilization and innovation
• Mentoring team members to leverage their strengths and develop their skills in data science and analytics
• Managing project timelines and deliverables to meet client expectations and drive successful outcomes
• Encouraging the adoption of innovative technologies and methodologies within data science teams
• Addressing challenges and conflicts with clients and stakeholders, fostering a collaborative work environment

What You Must Have

• At least a Bachelor's degree

• At least 8 + years of experience

• Oral and written proficiency in English required

• Strong supply chain domain knowledge (inventory planning, demand forecasting, logistics)

• Well versed and hands-on experience of working on optimization methods like linear programming, mixed integer programming, scheduling optimization. Having understanding of working on third party optimization solvers like Gurobi will be an added advantage

-Proficiency in forecasting techniques (e.g., Holt

-Winters, ARIMA, ARIMAX, SARIMA, SARIMAX, FBProphet, NBeats) and machine learning techniques (supervised and unsupervised)

-Experience using at least one major cloud platform (AWS, Azure, GCP), such a

What Sets You Apart

• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
• Demonstrating proficiency in data science algorithms and workflows
• Utilizing advanced machine learning techniques for predictive modeling
• Excelling in complex data analysis and data-driven decision making
• Leveraging programming languages such as Python, R, and MATLAB
• Managing data pipelines and confirming data quality in large datasets
• Embracing innovation and technology to enhance client solutions