We are looking for passionate individuals to help our clients solve complex challenges, enabling their sustained analytics transformation. As a Data Science leader, you will lead a team of data scientists and consultants to design, execute, and implement cutting-edge AI/ML and analytical solutions and capabilities. You will be responsible for institutionalizing data-driven insights and recommendations to bring customer strategies to life. The ideal candidate should be an expert-level data scientist with a strong track record in Retail or other consumer-facing industries, excel at managing key client engagements and maintaining strong relationships, while effectively leading teams of data scientists and data engineers. This role involves understanding the client’s business, generating insights, developing recommendations, and presenting them to clients and their leadership.

In addition, you will oversee the communication of strategy and delivery plans, ensuring alignment between the client and internal team while mitigating risks and escalations. You will also familiarize yourself with the strategic direction of our clients, helping them translate their goals into actionable outcomes on current engagements and contributing to the development of future projects.

Skills Required

• 7-13 years of experience in leading data science projects in a fast-paced environment across various functions within retail or other consumer-facing industries, with a proven track record of successful leadership
• Proven technical expertise in Data Analysis, Modeling, Statistics, and Machine Learning, along with proficiency in Python coding, and Python libraries for data science (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, etc.). Experience with other analytics tools like R, SAS, SPSS, etc. is a plus.
• Experience building ML products at scale and distributed computing with PySpark, understanding data engineering practices, and running ML models in production.
• Demonstrated ability to structure and manage large-scale analytics programs, including resource and technical requirements, methodology definition, and program operationalization
• Strong networking skills and a growth mindset, with a focus on acquiring new projects and expanding existing engagements
• Experience working with cross-functional and cross-cultural teams
• High level of comfort with ambiguity and change, with the ability to translate business gaps into analytics problems, define the analytical approach, deliver actionable insights, and operationalize recommendations
• Proven ability to build strong client relationships, especially in complex and sensitive environments
• Willingness to travel up to 80% of the time
  
  

Education Qualification

Minimal Qualifications

• Bachelor’s degree
• Experience working in Retail
  
  

Ideal Qualifications

• Master’s degree or PhD
• 5+ years of data science experience in Retail or other consumer-facing industry