Data Scientist- CSA

Havas Media Group Spain SAU; Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Havas CSA in Mumbai is seeking a Data Scientist to join the analytics team. You will blend statistical modeling with marketing performance insights to translate business questions into data solutions for clients.

You will build lead scoring and churn models, implement MMM studies, and deploy data pipelines on GCP while collaborating with client services and analytics teams.

Qualifications

• Bachelor's or Master's degree in Statistics, Computer Science, Data Science, Economics, or related quantitative field.
• 2–5 years of relevant data science/analytics experience.
• Strong Python and SQL skills applied to marketing analytics problems.

Responsibilities

• Build and maintain lead scoring models to prioritize high-intent customers for sales and marketing.
• Develop churn prediction models to identify at-risk customers and support retention strategies.
• Design and execute Media Mix Modeling studies to measure channel-level marketing effectiveness.
• Write efficient SQL queries to extract, transform, and validate data from large datasets.
• Build and productionize data pipelines and models in Python and deploy on GCP.

Skills

Python

SQL

Marketing analytics

Machine learning

Data analysis

Education

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

Tools

BigQuery

Cloud Run/Functions

IAM

Looker Studio

Power BI

Job description

## Data Scientist- CSAApplyremote type: On-sitelocations: Mumbaitime type: Full timeposted on: Posted Todayjob requisition id: JR0098155**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