Data Scientist- CSA

Havas Group; Mumbai City; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

PivotRoots in Mumbai invites a Data Scientist to join our analytics team, tackling marketing and media analytics for FMCG, BFSI, retail, and automotive clients. The role blends hands-on modeling with translating business questions into actionable data solutions.

You will build lead scoring, churn models, MMM studies, and productionize data pipelines in Python on GCP, communicating insights to clients and cross‑functional teams.

Qualifications

• Strong Python for data analysis and ML
• Solid SQL skills with large datasets
• Experience with GCP BigQuery and cloud data pipelines
• Experience building lead scoring and churn models
• Knowledge of MMM (adstock, saturation, Bayesian approaches) is a plus
• Good grasp of media/marketing concepts and KPIs
• Ability to communicate findings to non-technical stakeholders
• Willingness to learn ADH study types (Frequency Analysis, Brand Lift, etc.)

Responsibilities

• Build and maintain lead scoring models to prioritize high-intent prospects
• Develop churn prediction models to support retention
• Design and execute MMM studies to measure channel effectiveness
• Write efficient SQL to extract and validate data from large datasets
• Build and productionize data pipelines and models in Python
• Work within Google Cloud Platform (BigQuery, Cloud Run/Functions, IAM)
• Translate model outputs into actionable recommendations for teams
• Collaborate with client servicing, media planning, and analytics teams
• Stay current on attribution and media measurement approaches

Skills

Python

SQL

GCP / BigQuery

Lead scoring

Churn prediction

Media Mix Modeling (MMM)

Marketing concepts

Communication

ADH familiarity

Education

Bachelor's/Master's in a quantitative field

Tools

Looker Studio

Power BI

Job description

Agency :

PivotRoots

Job Description :

Havas CSA is looking for a Data Scientist to join our analytics team, working on marketing and media analytics problems across FMCG, BFSI, retail, and automotive clients. The role blends hands-on statistical/ML modeling with a strong understanding of media and marketing performance and requires the ability to translate business questions into data solutions that clients can act on.

Key Responsibilities:

• Build and maintain lead scoring models to prioritize high-intent customers/prospects for sales and marketing teams

• Develop churn prediction models to identify at-risk customers and support retention strategies

• Design and execute Media Mix Modeling (MMM) studies to measure channel-level marketing effectiveness and guide budget allocation

• Write efficient SQL queries to extract, transform, and validate data from large marketing and transactional datasets

• Build and productionize data pipelines and models in Python (pandas, scikit-learn, statsmodels, or equivalent)

• Work within Google Cloud Platform (GCP) — BigQuery, Cloud Run/Functions, IAM, and related services — to build scalable data workflows

• Translate model outputs into clear, business-relevant recommendations for marketing and media teams

• Collaborate with client servicing, media planning, and analytics teams to embed data science outputs into campaign and business decisions

• Stay current on marketing measurement approaches (attribution, incrementality, media effectiveness) and apply them to client problems

Required Skills & Experience:

• Strong proficiency in Python for data analysis and machine learning

• Solid SQL skills, comfortable working with large, complex datasets

• Working knowledge of GCP , particularly BigQuery ; familiarity with cloud-based data pipelines

• Practical experience building lead scoring and churn prediction models

• Experience with or strong conceptual understanding of Media Mix Modeling (e.g., adstock, saturation curves, Bayesian approaches such as Meridian, Robyn, or PyMC-Marketing is a plus)

• Good understanding of media and marketing concepts — campaigns, channels, funnels, attribution, and marketing KPIs

• Ability to communicate technical findings to non-technical stakeholders, including clients

• Willingness to build expertise in Google Ads Data Hub (ADH), or prior exposure to ADH study types (Frequency Analysis, Brand Lift, Path to Conversion, etc.)

Good to Have:

• Experience with GA4, Google Ads, Meta Ads, or other marketing platform data

• Exposure to reverse ETL / audience activation workflows

• Experience with Looker Studio, Power BI, or similar BI tools

• Prior experience in a media agency, ad-tech, or martech environment

Qualifications:

• Bachelor’s/Master’s degree in Statistics, Computer Science, Data Science, Economics, or a related quantitative field

• 2–5 years of relevant experience in data science/analytics roles (adjust per seniority)

Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job

Contract Type :

Permanent

Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.