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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level ML/data role in Gurugram with common Python/SQL skillset and broad responsibilities increases competition.
Core data science skills transferable, but supply-chain domain knowledge increases industry specificity.
Explicit 2–4 years requirement plus mandatory Python, SQL, and ML libraries enforces moderate shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy machine learning and statistical models to improve distribution center, logistics, wholesale customer operations, and sourcing analytics.
Analyze large-scale operational data on throughput, service levels, lead times, costs, and supplier performance to enable data-driven decision-making.
Partner with global teams to translate business problems into scalable analytics solutions and communicate insights to technical and non-technical stakeholders.
Minimum Requirements
Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Supply Chain, or related field.
2–4 years of experience in data science, advanced analytics, or applied machine learning roles.
Proficiency in Python programming and SQL; experience with machine learning libraries like scikit-learn, XGBoost, or TensorFlow.
Work location: Gurugram, India; Work model: Hybrid.
Ideal Candidate Profile
Experience or familiarity with supply chain domains such as distribution, logistics, wholesale customer operations, or sourcing analytics.
Comfortable working with large operational datasets and collaborating with global teams for business solution translation.
Strong applied skills in Python, SQL, machine learning, and dashboarding (Power BI) with interest or experience in GenAI-enabled analytics.