Education

Btech, MCA, MTECH

Desired Profile

– 8-12yrs of experience working with a team and leaders in the US, as well as strong communication and collaboration skills.
– Ability to take direction with limited communication/overlap with US based teams.
– A master’s or Ph.D. degree in a quantitative field such as Data Science, Statistics, Computer Science, or a related field.
Proven experience (5+ years) in leading or working with data science teams.
Experience with a variety of ML frameworks and libraries (e.g., pandas, numpy, pytorch, xgboost, econ-ml, seaborn, scikit-learn, keras, theano,
Expertise solving complex optimization problems.
Experience in retail, and complex large organizations.
Excellent proficiency in Python and SQL.

Roles and Responsibilities

– Lead and manage the analytics and data science teams.
– Ability to motivate others and have ownership over individuals output, and people retention.
– Manage relationships between India and US based team members, making sure collaboration is seamless and productivity is high.
– Understand and guide development in a wide variety of analytical fields such as; marketing measurement models, segmentation, personalization, pricing, markdown optimization, forecasting and causal inference.
– Ability to be flexible and analyze large datasets and extract meaningful insights for project and ad hoc requests.
– Develop, validate, and deploy predictive models and algorithms to solve complex business problems.
– Manage and/or mentor a team of data scientists, fostering their professional growth and ensuring high-quality work.
– Collaborate with other departments and stakeholders to align data science projects with organizational objectives.
– Stay updated on the latest data science and retail industry trends, ensuring that the team remains at the forefront of technology and methodology.