Data Scientist

5 days ago

Kandivali Mumbai Maharashtra, India Mahindra & Mahindra Ltd Full time

**Responsibilities & Key Deliverables**
Leadership (50%)
- Lead and mentor a small team of junior to mid-level data scientists and analysts.
- Translate high-level business problems into analytical frameworks and guide project execution.
- Review models, code, and outputs to ensure quality and scalability.
- Manage timelines, prioritize tasks, and align with cross-functional stakeholders.
- Collaborate with product, engineering, and business teams to deliver AI-driven solutions.

Individual Contributor (50%)
- 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.

**Experience**
- 5-8 years of hands-on experience in data science, machine learning, or analytics.

**Qualifications**
- Required Qualifications:

- Strong programming skills in Python, SQL, and proficiency with libraries like scikit-learn,

TensorFlow, PyTorch, or XGBoost.
- Solid understanding of supervised/unsupervised ML, A/B testing, and statistical modeling.
- Demonstrated experience in leading or mentoring data science teams (formal or informal).
- Excellent communication, problem-solving, and stakeholder engagement skills.
- Experience working with both structured and unstructured data at scale.

Good to Have:

- Exposure to cloud-based AI/ML platforms such as AWS SageMaker, Google Vertex AI, or Azure

ML Studio.
- Experience working with cloud-native data tools (e.g., BigQuery, Redshift, Snowflake).
- Understanding of data architecture and modern database systems (e.g., PostgreSQL, MongoDB,

Cassandra).
- Familiarity with MLOps practices, model monitoring, and CI/CD pipelines for ML.

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