Data Scientist

MathCo; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

MathCo is seeking a Senior Data Scientist – MMX to lead Marketing Mix Modeling and advanced analytics engagements. You will translate business challenges into analytical problems, build statistical models, and deliver insights to optimize marketing ROI for global clients.

You will collaborate with stakeholders, present findings, mentor juniors, and drive scalable analytics pipelines using Python, R, SQL, and econometric techniques.

Qualifications

• 4–8 years of experience in advanced analytics with focus on Marketing Mix Modeling (MMM).
• Proven MMM leadership for global clients across CPG, Retail, BFSI, Technology sectors.
• Strong expertise in statistical and econometric modeling including regression and time series.

Responsibilities

• Lead end-to-end MMM development including data prep, modeling, validation and recommendations.
• Design econometric/statistical models (regression, time series, Bayesian) to forecast ROI.
• Collaborate with stakeholders to translate business challenges into analytical solutions.
• Present findings through visuals and storytelling for business impact.
• Mentor junior team members on MMM methods and coding practices.
• Drive automation and scalability of modeling pipelines and dashboards.
• Explore causal inference and advanced analytics to enhance MMM approaches.
• Ensure model accuracy and continuous improvement with business feedback.

Skills

MMM

Python

R

SQL

Statistics

Time series

Bayesian methods

Data visualization

Job description

TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted by leading Fortune 500 and Global 2000 enterprises for data‑driven decision‑making. Founded in 2016, MathCo builds custom AI and advanced analytics solutions to solve enterprise challenges through its hybrid model. NucliOS, MathCo’s proprietary platform, enables connected intelligence at a lower total cost of ownership (TCO).

At MathCo, we foster an open, transparent, and collaborative culture, making it a great place to work. We provide exciting growth opportunities and value capabilities and attitude over experience, enabling our Mathemagicians to ‘Leave a Mark’.

Job Description

We are looking for a Senior Data Scientist – MMX to join our growing team. In this role, you will lead and contribute to Marketing Mix Modeling (MMM) and advanced analytics engagements. You will work closely with business stakeholders, translate business challenges into analytical problems, build statistical and machine learning models, and deliver actionable insights to optimize marketing investments and ROI.

Key Responsibilities

• Lead end-to-end development of Marketing Mix Models (MMM), including data preparation, model development, validation, and business recommendations.
• Design and implement econometric and statistical models, including regression, Bayesian methods, time series analysis, and hierarchical modeling, to measure and forecast marketing ROI.
• Collaborate with clients and cross‑functional stakeholders to understand business objectives, translate them into analytical frameworks, and deliver actionable insights.
• Present analytical findings through compelling visualizations, presentations, and business‑focused storytelling.
• Mentor and guide junior team members on MMM methodologies, coding best practices, and effective communication of insights.
• Drive automation and scalability of modeling pipelines, workflows, and reporting dashboards.
• Research and implement advanced analytical techniques, such as causal inference and machine learning, to enhance traditional Marketing Mix Modeling approaches.
• Ensure model accuracy, robustness, and continuous improvement by incorporating business feedback and emerging industry best practices.

Required Skills and Experience

• 4–8 years of experience in advanced analytics, with a strong focus on Marketing Mix Modeling (MMM).
• Proven experience leading MMM projects for global clients across industries such as CPG, Retail, BFSI, Technology, and other sectors.
• Strong expertise in statistical and econometric modeling, including regression, time series analysis, and Bayesian methods.
• Proficiency in programming languages such as Python and/or R.
• Hands‑on experience with SQL for data extraction, transformation, and analysis.
• Strong analytical and problem‑solving skills with the ability to work on large, complex datasets.
• Excellent client‑facing and consulting skills, with experience presenting insights and recommendations to senior business stakeholders.
• Ability to manage multiple projects simultaneously in a fast‑paced, dynamic environment.