Tredence Analytics Solutions - Lead/Senior Data Scientist - Machine Learning

Role Overview :

We are looking for a Lead Data Scientist/Senior Data Scientist who has experience with Machine learning, Python and has worked on Pricing projects

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. Price elasticity modeling

2. Forecasting / time series analysis

3. 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. Price elasticity / pricing models

2. Forecasting / time-series models

3. 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