Data Scientist | Location: Mumbai | 29 October

PivotRoots Digital Private Limited; Mumbai; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

PivotRoots Digital Private Limited is seeking a Data Scientist to join the analytics team in Mumbai. You will tackle marketing analytics problems across FMCG, BFSI, retail, and automotive sectors, translating business questions into data solutions.

Responsibilities include building lead scoring and churn models, conducting MMM studies, and producing actionable insights for clients using Python, SQL, and GCP.

Qualifications

• Bachelor’s or Master’s in a quantitative field with exposure to marketing analytics.
• Proven hands‑on experience building lead scoring and churn models.
• Strong SQL and Python skills for data extraction and modeling.
• Familiarity with Media Mix Modeling concepts and marketing KPIs.
• Experience with GCP tools and ability to translate findings for clients.

Responsibilities

• Build and maintain lead scoring models to prioritize high‑intent customers.
• Develop churn prediction models to support retention strategies.
• Design MMM studies to measure channel effectiveness and budget allocation.
• Write efficient SQL queries for large datasets and build data pipelines in Python.
• Operate on GCP (BigQuery, Cloud Run/Functions, IAM) to scale workflows.
• Translate model outputs into actionable recommendations for marketing teams.
• Collaborate with client teams to embed data science outputs into campaigns.
• Stay updated on attribution and media effectiveness methodologies.

Skills

Python

SQL

GCP

Lead scoring

Churn prediction

Media Mix Modeling

Communication

ADH familiarity

Education

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

Tools

BigQuery

Cloud Run

Cloud Functions

Python (Pandas)

scikit-learn

Statsmodels

Job description

Job Description & Work Exp.

We are 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.

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

Skills and Qualifications

• 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.)
• 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)
• 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.