Manager, Data Science

Xpo India Shared Services
What you 'll do on a typical day:
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Identify, develop, implement and drive adoption of analytics:based solutions to business problems in XPO
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Lead and mentor other data scientists, and build a highly functional and motivated team
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Serve as a subject matter expert in the organization on data science, providing scientific support across the company and for end customers
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Carry out descriptive, predictive, prescriptive analytics and communicate findings to leadership and stakeholders
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Design the AI Roadmap for the global organization and conceptualize AI initiatives to do R and D on
What you need to succeed at XPO:
At a minimum, you 'll need:
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Bachelor 's degree or equivalent related work in Engineering, Computer Science or a related technical field
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12 years of experience delivering data science solutions in production and doing R and D
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Experience of
scoping, planning, development, deployment, and tracking of data science solutions
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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
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Expert in writing SQL fluently, recognizing and correcting inefficient or error:prone SQL and performing test:driven validation of SQL queries and their results
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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
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Basic understanding of LLM fundamentals and how to best use Generative AI for solving problems
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Exposure to visualization tools such as Looker Studio, PowerBI or Tableau
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Strong programing and algorithm development skills as applied to working with large data sets
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Attention to detail and motivation to minimize error
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Experience with data modeling and data architecture
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Ability to mentor, teach, and motivate junior team members and extract their maximum potential
It 'd be great if you also have:
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Masters degree in data science, Computer Science, MIS, Engineering, Business or a related field
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In:depth understanding of developing and deploying production grade data science solutions
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Exposure to wide array Google Cloud Products such as BigQuery, Vertex AI, Cloud Functions, Cloud Run, Pub/Sub Trigger etc
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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
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Multiple data science specialization courses done from Coursera, Udacity, Data Camp, etc.
Be part of something big.
Be a Part of Something Big

Job Type: Permanent