Data Science Manager- Time Series Forecasting - Bangalore/Pune/Hyderabad

AddAptech Advisory Pvt. Ltd.; Hyderabad; Hybrid; INR 3,500,000 - 5,500,000; Full time

Job summary

AddAptech Advisory Pvt. Ltd. is seeking a Senior Manager - Data Science with strong hands-on expertise in forecasting and pricing analytics. You will lead data science teams, drive end-to-end analytics initiatives, manage stakeholders, and deliver measurable business impact.

The role requires leading forecasting and pricing analytics projects, building statistical and ML models, and mentoring teams while remaining hands-on with model development and problem-solving.

Qualifications

• Strong Data Science experience with mandatory expertise in Forecasting and/or Price Elasticity/Pricing Analytics.
• Proven experience delivering 4-5 relevant forecasting and/or pricing analytics projects.
• Strong expertise in statistical modelling, machine learning, predictive analytics, and quantitative problem-solving.
• Hands-on experience with Python, SQL, and relevant data science libraries.
• Proven people-management, team mentoring, and technical leadership experience.
• Strong stakeholder management, communication, and business problem-solving skills.
• Ability to demonstrate direct contributions to projects and their measurable business impact.

Responsibilities

• Lead end-to-end forecasting and pricing analytics projects from problem definition to deployment and monitoring.
• Develop models for demand forecasting, sales prediction, price elasticity, and pricing optimization.
• Mentor and manage data science teams while staying hands-on with technical work.
• Translate business requirements into analytical solutions in collaboration with stakeholders.
• Drive measurable business outcomes like forecast accuracy, revenue growth, and margin optimization.
• Oversee delivery timelines, quality, and stakeholder expectations.

Skills

Forecasting analytics

Pricing analytics

Statistical modelling

Machine learning

Python

SQL

Team leadership

Stakeholder management

Business problem solving

Tools

Python libraries

SQL tooling

Job description

Work Mode: Hybrid - 2-3 days per week from office

Role Overview

We are looking for a Senior Manager - Data Science with strong hands-on expertise in Forecasting and/or Price Elasticity/Pricing Analytics, along with proven people-management, technical leadership, and project-delivery experience. The ideal candidate will lead data science teams, drive end-to-end analytics initiatives, manage stakeholders, and deliver measurable business impact.

Key Responsibilities

• Lead end-to-end forecasting and pricing analytics projects, from problem definition and model development to deployment and monitoring.
• Develop statistical and machine learning models for demand forecasting, sales prediction, price elasticity, and pricing optimization.
• Lead, mentor, and develop data science teams while remaining hands-on with technical problem-solving and model development.
• Partner with business stakeholders and clients to translate business requirements into actionable analytical solutions.
• Drive measurable business outcomes, including improved forecast accuracy, revenue growth, margin optimization, and better decision-making.
• Manage project delivery, timelines, quality, and stakeholder expectations.

Required Skills & Qualifications

• Strong Data Science experience with mandatory expertise in Forecasting and/or Price Elasticity/Pricing Analytics.
• Proven experience delivering 4-5 relevant forecasting and/or pricing analytics projects.
• Strong expertise in statistical modelling, machine learning, predictive analytics, and quantitative problem-solving.
• Hands-on experience with Python, SQL, and relevant data science libraries.
• Proven people-management, team mentoring, and technical leadership experience.
• Strong stakeholder management, communication, and business problem-solving skills.
• Ability to demonstrate direct contributions to projects and their measurable business impact.

Preferred Experience

• Demand forecasting, demand planning, revenue management, price optimization, or commercial analytics.
• Strong collaboration skills across business, product, engineering, and analytics teams.

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