Data Scientist- CSA

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)

Contract Type :

Permanent