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Tredence Analytics Solutions - Data Science Manager

Tredence Analytics Solutions Private Limited
Anywhere in India/Multiple Locations
8 - 12 Years

Posted on: 11/03/2026

Job Description

Role Overview :

We are looking for a Lead Data Scientist who is highly hands-on, technically strong, and capable of leading a small team while owning end-to-end delivery of data science solutions. This role requires a balance of deep individual contribution (70-80%) and team leadership & stakeholder management (20-30%).

Key Responsibilities :

- Design, develop, and deploy end-to-end data science solutions from problem framing to production

- Work hands-on with SQL and Python for data extraction, analysis, feature engineering, and modeling

- Build and optimize machine learning models using classical ML techniques

- Apply advanced analytical methods such as :

1. Causal inference

2. Price elasticity modeling

3. Forecasting / time series analysis

4. Optimization techniques

- Translating business problems into data science approaches and measurable outcomes


- Lead, mentor, and review work of junior and mid-level data scientists

- Ensure high-quality, scalable, and maintainable model delivery

- Collaborate closely with product, engineering, and business stakeholders

- Drive best practices in modeling, experimentation, and code quality

Required Skills & Qualifications :

- 8-10 years of experience in Data Science / Machine Learning

- Strong hands-on expertise in SQL (complex queries, performance tuning)

- Advanced proficiency in Python (pandas, numpy, scikit-learn, statsmodels, etc.)

- Solid understanding of statistics and machine learning fundamentals

- Proven experience in one or more of the following :

1. Causal modeling / experimentation

2. Price elasticity / pricing models

3. Forecasting / time-series models

4. Optimization or classical ML algorithms

- Experience leading a team and owning delivery commitments

- Strong problem-solving and communication skills

Good to Have :

- Experience deploying models into production environments

- Familiarity with cloud platforms or MLOps workflows

- Prior experience working with business stakeholders in retail, pricing, supply chain, or growth analytics

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