Data Scientist- CSA

Havas Group; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Havas CSA is seeking a Data Scientist to join our analytics team, tackling marketing and media analytics across FMCG, BFSI, retail, and automotive clients. You will translate business questions into data solutions and build scalable data pipelines in GCP.

Key responsibilities include developing lead scoring and churn models, conducting MMM studies, writing efficient SQL, and presenting actionable insights to clients. A strong Python background and experience with BigQuery are essential.

Qualifications

• Strong Python for data analysis and ML.
• Solid SQL skills with large data sets.
• GCP experience, especially BigQuery and cloud pipelines.
• Experience building lead scoring and churn models.
• Knowledge of Media Mix Modeling concepts.
• Understanding marketing concepts and KPIs.

Responsibilities

• Build and maintain lead scoring models to prioritize high-intent customers for sales/marketing.
• Develop churn prediction models to identify at-risk customers and support retention strategies.
• Design and execute MMM studies to measure channel-level marketing effectiveness and guide budget allocation.
• Write efficient SQL queries to extract/transform/validate data from marketing and transactional datasets.
• Build and productionize data pipelines and models in Python (pandas, scikit-learn, statsmodels).
• Work with GCP (BigQuery, Cloud Run/Functions, IAM) to build scalable data workflows.
• Translate model outputs into clear, business-relevant recommendations for marketing/analytics teams.
• Collaborate with client servicing and analytics teams to embed DS outputs into decisions.
• Stay current on marketing measurement approaches and apply to client problems.

Skills

Python

SQL

GCP

BigQuery

Lead scoring

Churn prediction

Media Mix Modeling

Communication

ADH (Google Ads Data Hub)

Model deployment

Education

Bachelor's/Master's in Statistics, CS, Data Science, Economics

Tools

BigQuery

Cloud Run/Functions

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.