

SGS Consulting
Lead Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Key skills include SQL, Python, and project management. Experience in marketing campaigns and AI is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
840
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🗓️ - Date
December 24, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Consulting #Data Science #Metadata #Data Ingestion #AI (Artificial Intelligence) #Documentation #Project Management #Python #SQL (Structured Query Language) #Data Management
Role description
Project Management and Orchestration:
• Lead multi-phase program management for Measure Pillar initiatives (MMPM, SWH, SSR Pipeline, Pyicube2.0) with milestone tracking and dependency management, standups.
• Orchestrate stakeholder engagement including vendor collaboration sessions, stakeholder meetings.
• Facilitate stakeholder updates through the business reviews, and strategic presentations that influence marketing investment decisions.
Relationship Management and Communication:
• Build and nurture strategic partnerships across the Marketing org: survey vendors (YouGov, Kantar, BLS), vertical Data Science teams, horizontal Marketing teams, Marketers and Marketing Insights organizations.
• Facilitate adoption for technical and non-technical audiences by conducting training sessions, creating documentation, and establishing communities of practice for Measure products adoption.
• Understand needs for non-technical audiences and presenting information in accessible way.
Technical Domain Expertise:
• Survey data ingestion, standardization, and quality control processes.
• Self-Service Reporting pipeline architecture and metadata management.
• Incrementality measurement techniques, bias correction methods, and statistical significance testing.
• Survey methodology including weighting, sampling, and experimental design principles.
AI First Productivity:
• Generate and validate technical solutions using AI-assisted coding tools, with ability to evaluate AI-generated code quality, identify potential issues, and implement appropriate safeguards.
• Distinguish between reliable and problematic AI outputs through technical validation, statistical testing, and domain expertise to ensure high-quality deliverables and recommendations.
Must-Have Skills:
• Product or project management experience.
• Consulting experience/comms skills.
• SQL and Python.
Nice-to-have Skills:
• Marketing campaigns.
• Large tech company or startup (previous experience at MAANG is significant advantage).
• AI
How many rounds of interviews: 2 Rounds.
Types of Interviews: Phone, maybe onsite.
Interview Duration: 45 min.
Project Management and Orchestration:
• Lead multi-phase program management for Measure Pillar initiatives (MMPM, SWH, SSR Pipeline, Pyicube2.0) with milestone tracking and dependency management, standups.
• Orchestrate stakeholder engagement including vendor collaboration sessions, stakeholder meetings.
• Facilitate stakeholder updates through the business reviews, and strategic presentations that influence marketing investment decisions.
Relationship Management and Communication:
• Build and nurture strategic partnerships across the Marketing org: survey vendors (YouGov, Kantar, BLS), vertical Data Science teams, horizontal Marketing teams, Marketers and Marketing Insights organizations.
• Facilitate adoption for technical and non-technical audiences by conducting training sessions, creating documentation, and establishing communities of practice for Measure products adoption.
• Understand needs for non-technical audiences and presenting information in accessible way.
Technical Domain Expertise:
• Survey data ingestion, standardization, and quality control processes.
• Self-Service Reporting pipeline architecture and metadata management.
• Incrementality measurement techniques, bias correction methods, and statistical significance testing.
• Survey methodology including weighting, sampling, and experimental design principles.
AI First Productivity:
• Generate and validate technical solutions using AI-assisted coding tools, with ability to evaluate AI-generated code quality, identify potential issues, and implement appropriate safeguards.
• Distinguish between reliable and problematic AI outputs through technical validation, statistical testing, and domain expertise to ensure high-quality deliverables and recommendations.
Must-Have Skills:
• Product or project management experience.
• Consulting experience/comms skills.
• SQL and Python.
Nice-to-have Skills:
• Marketing campaigns.
• Large tech company or startup (previous experience at MAANG is significant advantage).
• AI
How many rounds of interviews: 2 Rounds.
Types of Interviews: Phone, maybe onsite.
Interview Duration: 45 min.






