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