Senior Data Scientist- Time Series Forecasting

AddAptech; Bengaluru; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

AddAptech Advisory Pvt. Ltd. in Bengaluru is seeking a Senior Data Scientist to lead forecasting and pricing analytics initiatives.

You will develop end-to-end data science solutions, build models for demand forecasting, price elasticity, and revenue optimization, and work with business stakeholders to translate needs into actionable insights. The role emphasizes strong hands-on experience with forecasting and pricing analytics, plus proficiency in Python and SQL, to deliver measurable business

Qualifications

• Hands-on data science experience with forecasting or pricing analytics.
• Proven experience delivering 2-3 forecasting or pricing analytics projects.
• Strong statistical modelling, machine learning, predictive analytics.
• Proficiency in Python, SQL, and data science libraries.
• Experience with forecasting methodologies, regression techniques, time-series analysis.
• Understanding of price elasticity, price optimization, revenue analytics.
• Ability to independently handle complex analytical problems and deliver end-to-end data science solutions.
• Strong analytical thinking, problem-solving, and communication skills.

Responsibilities

• Design, develop, and implement end-to-end forecasting and pricing analytics solutions from problem definition to deployment.
• Develop statistical and ML models for demand forecasting, sales prediction, price elasticity, and pricing optimization.
• Apply advanced statistical techniques to identify trends and actionable insights.
• Analyse large datasets to support demand planning and revenue forecasting.
• Collaborate with stakeholders to translate requirements into analytical solutions.
• Evaluate model performance, improve accuracy, and optimize pricing models.
• Drive measurable business outcomes: forecast accuracy, revenue growth, margin optimization.
• Ensure solutions are scalable, reliable, and aligned with business objectives.

Skills

Forecasting

Pricing Analytics

Statistical Modelling

Machine Learning

Time-series Analysis

Python

SQL

Tools

Python

SQL

Job description

Work Mode: Hybrid –3 days per week from office

Senior Data Scientist

Role Overview

We are looking for a highly skilled Senior Data Scientist with strong hands-on expertise in Forecasting and/or Price Elasticity/Pricing Analytics. The ideal candidate should have proven experience in developing and implementing advanced statistical and machine learning models, solving complex business problems, and delivering data-driven analytical solutions with measurable business impact.

The candidate will be responsible for executing end‑to‑end data science projects, translating business requirements into analytical solutions, and driving improvements in forecasting accuracy, revenue growth, and pricing optimization.

Key Responsibilities

• Design, develop, and implement end‑to‑end forecasting and pricing analytics solutions, from problem definition and data exploration to model deployment and monitoring.
• Develop statistical and machine learning models for demand forecasting, sales prediction, price elasticity, and pricing optimization.
• Apply advanced statistical techniques and predictive modelling to identify business trends, patterns, and actionable insights.
• Analyse large and complex datasets to support demand planning, revenue forecasting, and data-driven business decisions.
• Work closely with business stakeholders to understand requirements and translate them into effective analytical solutions.
• Evaluate model performance, improve prediction accuracy, and optimize existing forecasting and pricing models.
• Drive measurable business outcomes, including improved forecast accuracy, revenue growth, margin optimization, and operational efficiency.
• Ensure analytical solutions are scalable, reliable, and aligned with business objectives.

Required Skills & Qualifications

• Strong hands‑on Data Science experience with mandatory expertise in Forecasting and/or Price Elasticity/Pricing Analytics.
• Proven experience delivering 2-3 relevant forecasting and/or pricing analytics projects.
• Strong expertise in statistical modelling, machine learning, predictive analytics, and quantitative problem‑solving.
• Hands‑on proficiency in Python, SQL, and relevant data science libraries.
• Experience with forecasting methodologies, regression techniques, time‑series analysis, and predictive modelling.
• Understanding of price elasticity, price optimization, demand modelling, and revenue analytics.
• Ability to independently handle complex analytical problems and deliver end‑to‑end data science solutions.
• Strong analytical thinking, problem‑solving, and communication skills.
• Ability to demonstrate direct technical contributions to projects and their measurable business impact.

Preferred Experience

• Experience in demand forecasting, demand planning, revenue management, price optimization, or commercial analytics.
• Exposure to cloud‑based analytics platforms and model deployment environments.
• Experience working with cross‑functional teams across business, product, engineering, and analytics.
• Ability to convert complex analytical findings into actionable business recommendations.