Scientist, Data Science

XPO India Shared Services

What you’ll do on a typical day:

• Conceive and develop end-to-end solutions focused on Data Science and Engineering using Artificial Intelligence, Machine Learning & Deep Learning Algorithms, Statistical Concepts, Data modelling, Generative AI, Software Development, Cloud Computing, and Visualizations. (50%)
• Troubleshoot technical issues in existing processes and current development work; solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines. (10%)
• Understand and improve shared standard patterns, templates, and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption, and rollout. (10%)
• Collaborate with upstream and downstream IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery. (10%)
• Mentor other team members on technical skills, best practices, problem solving approaches, and standard patterns used at XPO (10%)
• Proactively generalize and share technical approaches and best practices among other developers, and simplify and communicate completed work to broader audiences across the company. (5%)
   

What you need to succeed at XPO:

EDUCATION/EXPERIENCE

• Minimum Required Education: Bachelor’s or Master's degree in Computer Science, Data Science, Statistics, MIS, Engineering, Econometrics, Finance, Business or related field.
• Minimum Required Experience: 3-5 years’ of Data Science experience in delivering business solutions that rely on data science, data analytics, artificial intelligence, or similar domains.
• Includes hands-on experience in delivering solutions in at least two of the following areas: Data Modelling, Data Integration, Data Analysis, SQL. And, 3-5 years hands-on experience in delivering solutions in at least two of the following areas: Data Science, Data Analysis, Geo Spatial, Finance, Econometrics, Cloud Computing, Big Data, and Database Management.
• Advanced knowledge of IT software development methodologies and processes in an agile environment a plus.
• Transportation and logistics industry experience a plus.
• Exposure to Generative AI and LLMs is a plus.

Other Technical / Computer Skills -

§ Data Science Skills –

• Solid experience applying one or more of the following analytical methods: regression (preferably mixed models), data classification and reduction (e.g. cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques.
• Deep understanding of statistical modelling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods.
• Solid technical database knowledge (BigQuery, Oracle) and experience optimizing SQL queries on large data.
• Advanced Statistical theoretical and application experience.
• Proven Exploratory Data Analysis and Visualization experience using R and Python (Numpy, Pandas, Scipy, Plotly, Matplotlib)
• Analyze, summarize, and characterize large or small data sets with varying degrees of fidelity or quality, and identify and explain any insights or patterns within them
• Familiarity of core principles of data modelling and data warehousing
• Experience in handling 1000+ lines complex SQL codes to deliver complex data based solutions in both development and data analysis work.
• Expert in Python and experience of writing production ready code and fundamental understanding of OOPs concepts.
• Exposure to ML Platforms such as GCP, Azure, AWS

Be part of something big.

Be a Part of Something Big