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Senior Data Scientist

Majoris Technologies Verified employer

Actively hiring · Posted 8d ago · JEV2610C5D75638AD

SalarySalary not disclosed
Experience6–10 yrs
LocationBengaluru (Bangalore)
Work modeOffice · Full time
Openings1

Job description

About the roleYou bring experience from organizations where marketing analytics is taken seriously—whether that’s a global technology company, an Indian consumer tech company, a data-driven marketing organization, or a specialist analytics firm. You understand the discipline of marketing science and the craft of building teams that do it well. Required Qualifications8+ years of hands-on experience in data science, marketing analytics, or applied measurement, Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication.Strong knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling).Experience with performance forecasting and budget optimization in a marketing context.Proven ability to manage and influence senior stakeholders across functions and geographies.Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders.Deep proficiency in SQL and Python or R; experience operating in production analytics environments.Comfort operating in a globally distributed team environment with US-based counterparts.Nice to HaveExposure to offline marketing analytics, brand measurement, or upper-funnel attribution.Experience scaling and modernizing legacy marketing measurement infrastructure.Familiarity with dbt, Databricks, Snowflake, Airflow, or comparable data infrastructure.Experience building or managing analytics teams across multiple geographies. What Sets You ApartYou build measurement frameworks that marketing leaders actually use to make decisions—not just deliver reportsYou communicate across the spectrum—from walking an analyst through a causal design to presenting budget implications to a CMOYou hold a high bar for analytical credibility while being pragmatic about delivery timelinesYou build strong cross-geography partnerships You stay technically grounded even as your scope grows—you know when to go hands-on and when to step back

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