Manager, Data Science

Xpo India Shared Services

What you’ll do on a typical day:

• Identify, develop, implement and drive adoption of analytics-based solutions to business problems in XPO
• Lead and mentor other data scientists, and build a highly functional and motivated team
• Serve as a subject matter expert in the organization on data science, providing scientific support across the company and for end customers
• Carry out descriptive, predictive, prescriptive analytics and communicate findings to leadership and stakeholders
• Design the AI Roadmap for the global organization and conceptualize AI initiatives to do R&D on

What you need to succeed at XPO:

At a minimum, you’ll need:

• Bachelor’s degree or equivalent related work in Engineering, Computer Science or a related technical field
• 12+ years of experience delivering data science solutions in production and doing R&D
• Experience of scoping, planning, development, deployment, and tracking of data science solutions
• In-depth understanding of statistical modeling, data analytics, model building and visualization using expert level understanding of Python (Numpy, Pandas, Scipy, Plotly and Matplotlib) and its object-oriented programming concepts
• Expert in writing SQL fluently, recognizing and correcting inefficient or error-prone SQL and performing test-driven validation of SQL queries and their results
• Some exposure to ML Platforms such as Google Cloud, AWS or Azure and experience of putting multiple data science models into ML pipelines in production
• Basic understanding of LLM fundamentals and how to best use Generative AI for solving problems
• Exposure to visualization tools such as Looker Studio, PowerBI or Tableau
• Strong programing and algorithm development skills as applied to working with large data sets
• Attention to detail and motivation to minimize error
• Experience with data modeling and data architecture
• Ability to mentor, teach, and motivate junior team members and extract their maximum potential

It’d be great if you also have:

• Master's degree in data science, Computer Science, MIS, Engineering, Business or a related field
• In-depth understanding of developing and deploying production grade data science solutions
• Exposure to wide array Google Cloud Products such as BigQuery, Vertex AI, Cloud Functions, Cloud Run, Pub/Sub Trigger etc
• Exposure to LLM fundamentals and understanding of Langchain, RAG architecture and using various large language models to develop a solution by using it as API wrapper or by custom training
• Multiple data science specialization courses done from Coursera, Udacity, Data Camp, etc.

Be part of something big.

Be a Part of Something Big