Job openings for Data Scientist in Mumbai

Job Title: Data Scientist
Experience: 7+ Years
Location: USA/Canada (Remote) or Offshore (Remote)
Working Hours: USA EST
Job Description:
We are looking for experienced Data Scientists with proven expertise in building Media Mix
Models (MMM) and Multi-Touch Attribution (MTA) models for a long-term engagement
with Univision. The ideal candidates should have a strong background in AdTech, data
science, and analytics, with the ability to derive actionable insights from large datasets in
the media and OTT domain.
Key Responsibilities:
€¢ Develop advanced MMM (Media Mixed Modeling) and MTA (Multi-touch Attribution)
models to optimize marketing and advertising strategies
€¢ Analyze large volumes of structured and unstructured data to uncover trends,
correlations, and actionable insights
€¢ Build and deploy machine learning models and predictive algorithms to solve complex
business problems
€¢ Gather data from diverse sources, clean and transform it for analysis
€¢ Apply statistical techniques to validate models and ensure accuracy and reliability
€¢ Automate analytical workflows and repetitive tasks using AI tools and scripting languages
€¢ Create compelling visualizations, dashboards, and reports to communicate insights across
teams
€¢ Collaborate with cross-functional teams including AdSales, Data Engineering, and
Analytics
€¢ Stay updated on the latest developments in AI, machine learning, and media analytics
Required Skills & Experience:
€¢ Specific MMM Experience: Bayesian methods, causal inference, incrementality testing
€¢ MTA Expertise: Attribution modeling, customer journey analysis, touchpoint optimization€¢ Tools: Python (scikit-learn, statsmodels), R (prophet, CausalImpact), SQL,
Tableau/PowerBI
€¢ 6+ years of experience in data science, analytics, or machine learning roles
€¢ At least 3 years of experience in AdTech or AdSales systems
€¢ Hands-on experience in developing MMM and MTA models
€¢ Strong understanding of OTT, digital media, and advertising ecosystems
€¢ Proficiency in programming languages like Python, R, or SQL for data manipulation and
modeling
€¢ Experience working with large datasets, data pipelines, and BI/reporting tools
€¢ Familiarity with statistical methods, experiment design, and model evaluation metrics
€¢ Excellent problem-solving, communication, and stakeholder management skil