Job Purpose A balanced mix of hands-on expertise as a data scientist and team management capabilities. The ideal candidate is someone who thrives at the intersection of technical depth and strategic impact. The candidate will own critical projects end-to-end to drive enterprise-wide AI initiatives.
Key Responsibilities
Translate high-level business problems into analytical frameworks Design, build, and deploy machine learning models, statistical frameworks, and data pipelines. Perform deep data exploration and generate actionable insights. Work on a range of problems including predictive modeling, segmentation, recommendation systems, NLP, and computer vision depending on project needs.
Conduct robust feature engineering, model evaluation, and tuning. Communicate findings clearly to technical and non-technical stakeholders. Manage timelines, prioritize tasks, and align with cross-functional stakeholder Skills &
Qualifications
- Degree in B.E / B.tech / M.Tech 3
- 5 years of hands-on experience in data science, machine learning, or analytics
- Strong programming skills in Python, SQL, and proficiency with libraries like scikit-learn, TensorFlow, PyTorch, or XGBoost.
- Strong understanding of supervised/unsupervised ML, A/B testing, and statistical modeling. Excellent communication, problem-solving, and stakeholder engagement skills.
- Experience working with both structured and unstructured data at scale.
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