Senior Data Scientist

Jobtailor; Bengaluru; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Jobtailor in Bengaluru seeks an experienced data scientist to build and scale statistical and ML models for large audience datasets in TV/OTT contexts. You will design planning and allocation algorithms for campaign optimization and yield management.

You will translate business problems into scalable data science solutions, collaborate with product and engineering to productionise models, and contribute to AI-driven feature development across planning and measurement.

Qualifications

• 5+ years of experience in the media industry (research company, broadcaster, media company, agency, or audience measurement/analytics platforms).
• Hands-on experience building forecasting models for inventory or media planning or deduplication.
• Strong programming skills in Python and SQL, with hands-on experience in production ML systems.
• Solid foundation in statistical and ML methods, including time-series modelling, regression, probabilistic forecasting, and optimisation techniques.
• Understanding of impressions, reach, GRPs/TVR, digital ad metrics.

Responsibilities

• Expertise in building and scaling statistical and ML models for large datasets, with a strong focus on campaign optimisation and yield management in the media industry.
• Translate complex business problems into data science solutions and integrate models into decision systems.
• Collaborate with product and engineering to productionise models and embed them into decision systems.

Skills

Statistical ML Modeling

Python Programming

SQL Proficiency

Forecasting Models

Media Experience

Job description

• Build and scale statistical and ML models for large audience datasets (TV, OTT, CTV)
• Design and implement planning and allocation algorithms for campaign optimisation and yield management
• Translate business problems (pricing, allocation, yield optimisation) into scalable data science solutions
• Work closely with product and engineering to productionise and integrate models into decision systems
• Contribute to AI-driven feature development across planning and measurement

Requirements

• 5+ years of experience in the media industry (research company, broadcaster, media company, agency, or audience measurement/analytics platforms)
• Hands-on experience building forecasting models for inventory or media planning or deduplication
• Strong programming skills in Python and SQL, with hands-on experience in production ML systems
• Solid foundation in statistical and ML methods, including time-series modelling, regression, probabilistic forecasting, and optimisation techniques
• Understanding of impressions, reach, GRPs/TVR, digital ad metrics

Core Competencies

Expertise in building and scaling statistical and machine learning models for large datasets, with a strong focus on campaign optimisation and yield management in the media industry. Proficient in translating complex business problems into data science solutions and integrating models into decision systems.

Highest-signal resume keywords

• Statistical And ML Model Development
• Python Programming
• SQL Proficiency
• Forecasting Model Building
• Media Industry Experience

ATS Optimization Keywords

Hard Skills

• Statistical Methods
• Machine Learning Techniques
• Time-Series Modelling
• Regression Analysis
• Probabilistic Forecasting
• Optimization Techniques

Industry Keywords

• Media Industry
• Audience Measurement
• Campaign Optimization
• Yield Management
• Digital Ad Metrics