Senior Data Scientist

Providence India; Hyderabad; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Providence India is seeking a Senior Data Scientist with deep Marketing Analytics expertise, especially Marketing Mix Modeling, to drive data-driven decisions across marketing investments in Hyderabad.

You will partner with Marketing, Finance, and Product to quantify channel impact, optimize budgets, and unlock growth opportunities using Python/R, SQL, and cloud platforms. Strong modeling, storytelling, and collaboration skills are essential.

Qualifications

• Experience building Marketing Mix Models (MMM) and measuring channel ROI.
• Strong skills in regression, time-series, and Bayesian methods.
• Proficiency in Python or R, SQL, and cloud platforms.
• Ability to translate analytics into business recommendations.
• Experience collaborating with Marketing, Finance, and Product teams.

Responsibilities

• Design, develop, and maintain Marketing Mix Models (MMM) to measure channel impact.
• Apply regression, Bayesian, and time-series analyses to quantify ROI.
• Incorporate seasonality, promotions, pricing, macro variables into models.
• Build scalable data and modeling infrastructure and pipelines.
• Provide actionable insights to optimize spend and budget allocation.
• Lead attribution, incrementality testing, and experiments (A/B, geo).
• Present insights to senior stakeholders.
• Collaborate with Data Engineering for data quality.
• Drive measurement frameworks and marketing effectiveness thought leadership.

Skills

Marketing analytics

MMM modeling

Python

R

SQL

Time-series

Bayesian methods

A/B testing

Education

Master's degree in a quantitative field

Tools

Python

SQL

AWS

GCP

Azure

ETL pipelines

Job description

About The Role

We are looking for a Senior Data Scientist with deep expertise in Marketing Analytics, particularly Marketing Mix Modeling (MMM), to drive data-driven decision-making across our marketing investments. This role will partner closely with Marketing, Finance, and Product teams to quantify channel effectiveness, optimize budget allocation, and unlock growth opportunities.

Key Responsibilities

• Marketing Mix Modeling & Measurement: Design, develop, and maintain Marketing Mix Models (MMM) to measure the impact of various marketing channels (TV, digital, paid search, social, etc.)
• Apply advanced statistical techniques (e.g., regression modeling, Bayesian methods, time-series analysis) to quantify ROI and incremental lift
• Incorporate factors like seasonality, promotions, pricing, macroeconomic variables, and competitive activity into models
• Continuously improve model accuracy and scalability
• Marketing Analytics & Insights: Analyze multi-channel campaign performance and provide actionable insights to optimize spend
• Develop frameworks for attribution, incrementality testing, and experimentation (A/B testing, geo experiments)
• Translate complex analytical outputs into clear business recommendations
• Data & Modeling Infrastructure: Work with large-scale structured and unstructured datasets (media spend, impressions, conversions, customer data)
• Build reusable pipelines and scalable solutions using tools like Python/R, SQL, and cloud platforms (AWS/GCP/Azure)
• Collaborate with Data Engineering teams to ensure data quality and availability
• Stakeholder Collaboration: Partner with Marketing leaders to influence budget allocation and strategic planning
• Present insights to senior stakeholders, including non-technical audiences
• Act as a thought leader on measurement frameworks and marketing effectiveness