Scientist, Data Science

XPO Logistics, Inc.; Pune District; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

XPO Logistics, Inc. in Pune is seeking a data-driven Data Scientist with at least 3 years of professional experience to bridge data and business decisions. You will collaborate with product, engineering, and business teams to build predictive models and data products that drive measurable impact.

The ideal candidate will have a strong foundation in statistics, ML algorithms, and software development, plus the ability to translate complex analyses into actionable insights for stakeholders.

Qualifications

• Minimum of 3 years of professional, hands-on experience as a Data Scientist or in a highly quantitative analytical role.
• Bachelor's or master's degree in computer science, Data Science, Statistics, Applied Mathematics, Economics, or related field.
• Strong proficiency in Python (Pandas, NumPy, Scikit-Learn, SciPy).
• Advanced proficiency in writing clean, optimized SQL queries.
• Solid understanding of core machine learning concepts (linear/logistic regression, trees, boosting, clustering, evaluation metrics).
• Experience with cloud environments (AWS, Google Cloud, or Azure) and Git for version control.

Responsibilities

• Model Development: design, build, evaluate, and iterate ML models (supervised/unsupervised) to address business challenges.
• Data Pipelines & ETL: clean, preprocess, and feature-engineer large-scale datasets from diverse sources.
• Insights & Analytics: perform EDA and apply statistical methods to uncover trends and patterns.
• Collaboration & Communication: translate analytical findings into clear insights and visualizations for technical and non-technical stakeholders.
• Production Deployment: partner with data engineers and MLOps to deploy models and monitor performance.
• Team Contribution: participate in code reviews, share best practices, contribute to internal data science libraries.

Skills

Analytical thinking

Problem solving

Communication

Education

Bachelor's or Master's degree in CS/DS/Statistics/Applied Math/Economics

Tools

Python

Pandas

NumPy

Scikit-Learn

SciPy

SQL

Git

Cloud platforms (AWS/GCP/Azure)

Job description

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We are seeking a data-driven and analytical Data Scientist with minimum 3 years of professional experience to join our growing Data Science team. In this role, you will bridge the gap between complex data and strategic business decisions. You will collaborate closely with product, engineering, and business teams to design, build, and deploy predictive models, extract actionable insights, and build data products that drive measurable impact.

The ideal candidate has a strong foundation in statistical analysis, machine learning algorithms, and software development practices, combined with a passion for solving open-ended business problems.

Key Responsibilities

• Model Development: Design, build, evaluate, and iterate on machine learning models (supervised and unsupervised) to solve key business challenges such as [e.g., churn prediction, recommendation engines, fraud detection, demand forecasting].
• Data Pipelines & ETL: Clean, preprocess, and feature-engineer large-scale structured and unstructured datasets from disparate sources to ensure high-quality inputs for modeling.
• Insights & Analytics: Perform exploratory data analysis (EDA) and apply advanced statistical methods (A/B testing, regression analysis, hypothesis testing) to uncover trends and patterns.
• Collaboration & Communication: Translate complex analytical findings into clear, actionable insights and visualizations for both technical and non-technical stakeholders.
• Production Deployment: Partner with Data Engineers and MLOps to deploy models into production environments and monitor their performance over time.
• Team Contribution: Actively participate in code reviews, share best practices, and contribute to the team's internal data science libraries and documentation.

Required Qualifications & Skills

• Experience: Minimum of 3 years of professional, hands-on experience working as a Data Scientist or in a highly quantitative analytical role.
• Education: Bachelor's or master's degree in computer science, Data Science, Statistics, Applied Mathematics, Economics, or a related quantitative field.
• Programming: Strong proficiency in Python (preferred), including libraries like Pandas, NumPy, Scikit-Learn, and SciPy.
• SQL: Advanced proficiency in writing clean, optimized SQL queries to extract and manipulate data from relational databases.
• Machine Learning: Solid understanding of core machine learning concepts (e.g., linear/logistic regression, decision trees, random forests, gradient boosting, clustering, evaluation metrics).
• Cloud & Tools: Experience working within cloud environments (AWS, Google Cloud, or Azure) and version control tools (Git).