Data Scientist

About Weekday AI

As a Data Scientist, you will lead the development of sophisticated price elasticity models that drive strategic pricing decisions across diverse product lines.

Responsibilities

• Leveraging advanced econometric techniques and machine learning algorithms, you will analyze large-scale transactional data, consumer behavior patterns, and market dynamics to quantify price sensitivities and forecast demand shifts.
• Your insights will directly influence pricing strategies, promotional planning, and revenue optimization initiatives, ensuring that business objectives are met with data-driven precision.
• In a fast-paced, collaborative environment, you will partner with cross-functional teams to translate analytical findings into actionable business recommendations.
• Design, implement, and validate nonlinear and parametric price elasticity models using econometric and machine learning methods.
• Extract, clean, and preprocess large volumes of sales, pricing, and consumer data from multiple sources.
• Conduct hypothesis testing, causal inference, and scenario analysis to evaluate pricing experiments and promotional campaigns.
• Deploy predictive models into production pipelines, ensuring scalability and robustness for real-time pricing decisions.
• Create interactive dashboards and visualizations to communicate model insights to stakeholders.
• Collaborate with product, marketing, and finance teams to align modeling efforts with business strategy.
• Stay abreast of industry trends, emerging techniques, and best practices in price optimization.
• Document modeling workflows, assumptions, and results for audit and reproducibility.
• Mentor junior analysts and provide technical guidance on data science methodologies.
• Continuously monitor model performance, conduct post-deployment reviews, and iterate improvements.

Requirements

• 8+ years of experience in data science with a strong focus on pricing and demand modeling.
• Proficiency in statistical programming languages such as Python, R, or Julia, and familiarity with SQL and data warehousing concepts.
• Deep knowledge of econometric techniques (e.g., logit, probit, BLP) and machine learning models (e.g., random forest, XGBoost) applied to price elasticity.
• Demonstrated ability to build end-to-end analytical solutions from data ingestion to model deployment.
• Strong analytical mindset with a proven track record of turning complex data into actionable business insights.
• Excellent communication skills for presenting technical findings to non-technical audiences.
• Experience working in a dynamic, cross-functional team environment.
• Familiarity with cloud platforms (AWS, GCP, Azure) and data pipeline tools (Airflow, dbt).
• Ability to navigate ambiguous problems, iterate rapidly, and deliver high-impact solutions.
• Passion for continuous learning and staying current with the latest research in pricing analytics.

Pay

Salary: INR 3,000,000–4,500,000

• 𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟰𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟬-𝟰𝟱 𝗟𝗣𝗔)
• Experience: 8+ yrs

Data Scientist

Weekday AI · Bengaluru, India · Full-time · Posted 2026-11-03

Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/0013EB9766/apply)