Remote Solutions Engineer: Data Science & AI Enablement

Tinuiti; New York (NY); Hybrid; USD 95,000 - 105,000; Full time

Benefits offered by this job

Unlimited PTO

Fully remote

Healthcare: medical, dental, vision, _

Retirement matching up to 4%

Wellness programs

Job summary

Tinuiti, the largest independent full-funnel marketing agency in the United States, is seeking a data science specialist to support MMM products on a fully remote basis. You will partner with Sales, Client Reporting, Econometrics, and Delivery teams to scope projects, onboard client data, and drive model-based budget recommendations.

The role emphasizes strong data literacy, stakeholder management, and the ability to translate complex analyses into actionable insights for executives and client

Qualifications

• Strong background in data analysis, statistics, or related field.
• Ability to explain model methodologies to both technical and non-technical audiences.
• Experience partnering with cross-functional teams and executives.

Responsibilities

• Scope products with Sales pre-SOW to define model scope and ensure accurate SOW language.
• Onboard client data for MMM engagements and support data questions with cross-functional partners.
• Prepare for Readout and coach teams on framing budget recommendations and decisions.
• Lead methodology walkthroughs with client data science teams and address technical questions.
• Coordinate across Client Reporting, Econometrics, Sales, and Client Delivery to maintain timelines.

Skills

Data analysis

Project management

Data literacy

Strategic communication

AI fluency

Education

Bachelor's degree in a technical field

Tools

Python

SQL

AI tools

Job description

Tinuiti, the largest independent full-funnel marketing agency in the United States, is seeking a data science specialist to support MMM products on a fully remote basis. You will partner with Sales, Client Reporting, Econometrics, and Delivery teams to scope projects, onboard client data, and drive model-based budget recommendations.

The role emphasizes strong data literacy, stakeholder management, and the ability to translate complex analyses into actionable insights for executives and client