Data Scientist

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.