Data Scientist- CSA

Havas India · Mumbai

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Last observed by our collector: 8 October 2026 at 11:29 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: JR0098155

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Collected minimum qualification: 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. If you don't find a suitable opening on our Career Site, don't worry! You can still send your resume to us. Please go to Consider me for Future Openings. About Us Founded in 1835 by Charles-Louis Havas, Havas is one of the world’s largest global communications groups, with more than 23,000 people in over 100 countries sharing one single mission: to make a meaningful difference to brands, businesses, and people. Havas has developed a fully integrated model covering all communications activities. The teams of the three business units, Creative, Media and Health & You, work together with agility and in perfect synergy to offer clients tailor-made, meaningful, innovative and entertainment-oriented solutions that support them in their positive transformation. Life at Havas We take great pride in our Havas family. They bring many unique personalities, perspectives and passions to their work. Collaboration is at the core of how we operate, and Havas Villages are the homes we work in. We encourage our people to take advantage of our many opportunities to learn and grow. Through local agency training sessions, our unique global and development programs, we offer our people endless opportunities to explore. Havas Creative Network At Havas, we believe creativity isn’t just a description of our business, it is part of our agencies’ DNA. We bring together some of the industry’s most creative and accomplished agencies. By combining creative expertise with the strategic and innovative power of our Villages, we can build seamless teams around the individual needs of each of our clients. Havas Media Network We create the best media experience, capitalizing on the most meaningful media to build more meaningful brands. We know how to connect a client with their target audience – in the context of where they are, through the content they pay attention to. We deliver this expertise through the Mx System, our global operating methodology and strategic planning process, that creates value for our clients by turning consumer intelligence into clear growth targets, aligning stakeholders and KPIs, and measuring the impact of media experiences. Havas Health Driven by human purpose and focused on the betterment of humanity through health, Havas Health & You leverages a global collection of experts and individuals to help people everywhere live healthier lives. With a spirit rooted in innovation, creativity, and education, we are dedicated to delivering consistent excellence and groundbreaking work.Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

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Collected role 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

Collected minimum qualification

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. If you don't find a suitable opening on our Career Site, don't worry! You can still send your resume to us. Please go to Consider me for Future Openings. About Us Founded in 1835 by Charles-Louis Havas, Havas is one of the world’s largest global communications groups, with more than 23,000 people in over 100 countries sharing one single mission: to make a meaningful difference to brands, businesses, and people. Havas has developed a fully integrated model covering all communications activities. The teams of the three business units, Creative, Media and Health & You, work together with agility and in perfect synergy to offer clients tailor-made, meaningful, innovative and entertainment-oriented solutions that support them in their positive transformation. Life at Havas We take great pride in our Havas family. They bring many unique personalities, perspectives and passions to their work. Collaboration is at the core of how we operate, and Havas Villages are the homes we work in. We encourage our people to take advantage of our many opportunities to learn and grow. Through local agency training sessions, our unique global and development programs, we offer our people endless opportunities to explore. Havas Creative Network At Havas, we believe creativity isn’t just a description of our business, it is part of our agencies’ DNA. We bring together some of the industry’s most creative and accomplished agencies. By combining creative expertise with the strategic and innovative power of our Villages, we can build seamless teams around the individual needs of each of our clients. Havas Media Network We create the best media experience, capitalizing on the most meaningful media to build more meaningful brands. We know how to connect a client with their target audience – in the context of where they are, through the content they pay attention to. We deliver this expertise through the Mx System, our global operating methodology and strategic planning process, that creates value for our clients by turning consumer intelligence into clear growth targets, aligning stakeholders and KPIs, and measuring the impact of media experiences. Havas Health Driven by human purpose and focused on the betterment of humanity through health, Havas Health & You leverages a global collection of experts and individuals to help people everywhere live healthier lives. With a spirit rooted in innovation, creativity, and education, we are dedicated to delivering consistent excellence and groundbreaking work.

Collected experience requirement

2-5 years