Responsibilities
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 team-oriented work setting

What You Must Have
At least a Bachelor's degree
At least 8 years of experience
Oral and written proficiency in English required
Robust 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

📌 Data Science Analyst Bengaluru
🏢 PwC
📍 Bengaluru