Senior Data Scientist
Insight Global, New York, NY, United States
Job Description
We are seeking a Senior Data Scientist to lead Marketing Mix Modeling (MMM) and conversion/attribution analytics end-to-end. You will build the models, ship the pipelines working with Data Engineers, and work directly with Sales, Strategy & Insights, and Planning teams to turn measurement into revenue. This is not a research engagement – we need someone who has shipped MMM and statistical models to production systems, influenced real ad spend decisions, and who can hold their own in a room with both Data Scientists and Ad Sales leaders.
If you want to know about the requirements for this role, read on for all the relevant information.
Required Skills & Experience
• 7+ years of applied data science experience, with at least 4 years focused on MMM and marketing/media measurement
• Production ownership: you have built and shipped data pipelines and model-serving integrations – not just notebooks handed off to engineering (be ready to talk through specific systems you have put into production and the business outcomes they drove)
• Strong Python/R and SQL skills; experience using modern data stack (cloud data warehouses, orchestration frameworks, version control, CI/CD)
• Demonstrated experience with incrementality testing, lift studies, and MTA, including the messy parts: test design, power analysis, reconciling conflicting signals across methodologies
• Experience with at least one major MMM framework, such as Meridian, PyMC, Robyn, or LightweightMMM, and can speak to the tradeoffs in going with a bespoke model versus using such frameworks
• Proven ability to own stakeholder communication end-to-end: presenting to senior internal leadership (VP+), agencies, and clients without needing a layer of translation (you move swiftly between a Bayesian prior conversation and a channel-mix recommendation conversation without skipping a beat)
• Able to work hybrid from our NYC office (4 days/week)
Nice to Have Skills & Experience
Strongly Preferred:
• Prior experience at a publisher, broadcaster, streaming platform, ad-tech company, or agency/measurement firm working on media-side measurement
• Familiarity with ACR data, set-top box data, or digital/streaming viewership data
• Experience working with 3P conversion/outcome data providers (NIQ, Polk, EDO, or similar)
• Exposure to both pre-sales (research, planning, recommendation) and post-sales (outcomes, renewal) measurement workflows
• GCP experience (BigQuery, Vertex AI, Composer)
Compensation :
$65/hr to $68/hr.
Exact compensation may vary based on several factors, including skills, experience, and education. xywuqvp
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
We are seeking a Senior Data Scientist to lead Marketing Mix Modeling (MMM) and conversion/attribution analytics end-to-end. You will build the models, ship the pipelines working with Data Engineers, and work directly with Sales, Strategy & Insights, and Planning teams to turn measurement into revenue. This is not a research engagement – we need someone who has shipped MMM and statistical models to production systems, influenced real ad spend decisions, and who can hold their own in a room with both Data Scientists and Ad Sales leaders.
If you want to know about the requirements for this role, read on for all the relevant information.
Required Skills & Experience
• 7+ years of applied data science experience, with at least 4 years focused on MMM and marketing/media measurement
• Production ownership: you have built and shipped data pipelines and model-serving integrations – not just notebooks handed off to engineering (be ready to talk through specific systems you have put into production and the business outcomes they drove)
• Strong Python/R and SQL skills; experience using modern data stack (cloud data warehouses, orchestration frameworks, version control, CI/CD)
• Demonstrated experience with incrementality testing, lift studies, and MTA, including the messy parts: test design, power analysis, reconciling conflicting signals across methodologies
• Experience with at least one major MMM framework, such as Meridian, PyMC, Robyn, or LightweightMMM, and can speak to the tradeoffs in going with a bespoke model versus using such frameworks
• Proven ability to own stakeholder communication end-to-end: presenting to senior internal leadership (VP+), agencies, and clients without needing a layer of translation (you move swiftly between a Bayesian prior conversation and a channel-mix recommendation conversation without skipping a beat)
• Able to work hybrid from our NYC office (4 days/week)
Nice to Have Skills & Experience
Strongly Preferred:
• Prior experience at a publisher, broadcaster, streaming platform, ad-tech company, or agency/measurement firm working on media-side measurement
• Familiarity with ACR data, set-top box data, or digital/streaming viewership data
• Experience working with 3P conversion/outcome data providers (NIQ, Polk, EDO, or similar)
• Exposure to both pre-sales (research, planning, recommendation) and post-sales (outcomes, renewal) measurement workflows
• GCP experience (BigQuery, Vertex AI, Composer)
Compensation :
$65/hr to $68/hr.
Exact compensation may vary based on several factors, including skills, experience, and education. xywuqvp
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.