Senior Manager - Data Science

Exp : 12 - 16 Years of Experience

:

We are seeking an experienced Senior Manager - Data Science to lead and grow a high-performing team of Data Scientists and Analysts, while driving data-driven products, insights and AI/ML solutions.

The ideal candidate will combine strong technical expertise in Machine Learning and Analytics with strategic thinking, business acumen and stakeholder management skills.

Key Responsibilities :

1. Leadership & Strategy :

- Lead, mentor and develop a high-performing team of Data Scientists and Analysts.
- Define and execute the Data Science roadmap aligned with business objectives.
- Partner with Product, Engineering and Business teams to identify and prioritize high-impact data science initiatives.
- Drive adoption of data-driven decision-making across the organization.

2. Technical Leadership :

- Oversee the design, development and deployment of Machine Learning models, predictive analytics, recommendation systems and AI solutions.
- Establish best practices across model development, feature engineering, validation, deployment and monitoring.
- Ensure data quality, reproducibility, scalability and governance across analytics initiatives.
- Provide technical guidance on complex Data Science and Machine Learning problems.

3. Business Impact :

- Translate complex analytical findings into actionable business insights and recommendations.
- Partner with senior leadership to define KPIs, success metrics and measurable business outcomes.
- Identify opportunities where Data Science and AI can improve business performance, customer experience and operational efficiency.
- Champion a data-first culture across the organization.

4.



People Management :

- Hire, coach and retain high-quality Data Science and Analytics talent.
- Set goals, conduct performance reviews and provide continuous feedback.
- Build career development plans and foster a culture of learning, innovation and collaboration.
- Encourage knowledge sharing and adoption of industry best practices.

Required Qualifications :

- 12 - 16 years of overall experience, with at least 3 - 5 years of experience leading Data Science or Analytics teams.
- Robust understanding of Machine Learning, Statistics, Data Modeling and Advanced Analytics.
- Hands-on experience with Python, R and SQL.
- Experience with modern ML frameworks such as scikit-learn, TensorFlow or PyTorch.
- Proven ability to manage Data Science projects end-to-end, from problem definition through model deployment.
- Experience working with large-scale datasets and cloud platforms such as AWS, GCP or Azure.
- Strong stakeholder management, communication and presentation skills.

Preferred Qualifications :

- Master's or PhD in Computer Science, Data Science, Statistics, Mathematics or a related field.
- Experience building data products, MLOps platforms or AI-driven business solutions.
- Exposure to BI and visualization tools such as Tableau, Power BI or Looker.
- Knowledge of A/B testing, experimentation, causal inference and optimization techniques.

Key Attributes :

- Strategic thinker with strong hands-on technical expertise.
- Strong business acumen and problem-solving ability.
- Effective people leader with a passion for developing talent.
- Data-driven, curious and innovative mindset.
- Ability to influence senior stakeholders and drive data-led transformation.

📌 Tredence Analytics Solutions - Senior Manager - Data Science (India)
🏢 Tredence Analytics Solutions Private
📍 India