Solutions Engineer Specialist (Media & Advertising/MMM)

Tinuiti; New York (NY); On-site; 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

Overview

Tinuiti is the largest independent full-funnel marketing agency in the United States, with $4 billion in digital media under management and more than 1,200 employees. This role supports the Bliss Point Data Scientific MMM Products and is fully remote.

Responsibilities

• Product Scoping: Partner with Sales pre-SOW to assess product-client fit, define the right model scope (e.g., DTC vs. DTC and Commerce), and provide input on SOW language to ensure commitments are accurate and achievable.
• Technical Onboarding: Support end-to-end data onboarding for MMM engagements, serving as the primary technical resource for client data questions while partnering with Client Reporting, Client Delivery, and Econometrics.
• Pre-Readout Enablement: Prepare for the first model readout with Client Delivery, help the team understand model outputs, and coach on using our toolkit to frame budget recommendations and strategic decisions.
• Client Data Science Engagement: Lead methodology walkthroughs for client data science teams, fielding technical questions about model construction, assumptions, and outputs.
• Cross-Functional Coordination: Serve as the central point of contact across Client Reporting, Econometrics, Sales, and Client Delivery to ensure continuity and adherence to timelines.
• AI-Powered Efficiency & Process Optimization: Identify and implement opportunities to use AI tools, agents, and automation to speed workflows and scale deployments; standardize implementation processes into repeatable products.
• Product Feedback: Synthesize engagement patterns and client feedback to inform feature development and improve the offering.

Qualifications

• Mathematical Proficiency: Strong background in data analysis, statistics, or a related technical field; ability to explain model methodologies to technical and non-technical audiences.
• Project & Stakeholder Management: Ability to manage multiple concurrent engagements, build timelines, and hold cross-functional partners accountable.
• Data Literacy: Comfort with data complexities and the ability to simplify data into clear, actionable insights.
• Strategic Communication: Ability to articulate the rationale behind actions to internal stakeholders and external clients, including executives and client data science teams.
• Proactive Ownership: A Maker's Mindset with initiative to propose solutions and drive projects forward with limited hand-holding.
• Collaboration & Engineering Empathy: Experience partnering with model builders on technical hand-offs and QA.
• Client-Facing Experience: Comfortable engaging with C-level executives and technical decision-makers; client-facing or new-business experience is a plus.
• Automation & AI Fluency: Comfortable using AI tools and automation to improve process efficiency and continually enhance capabilities.

Compensation & Benefits

Annual base salary range for this level is $95,000 – $105,000, plus a performance bonus of up to 8%. Salary and grade level are determined through interviews and a review of qualifications and market data. Benefits include unlimited PTO, fully remote work, healthcare (medical, dental, vision, life & disability), retirement matching up to 4%, and additional perks and wellness programs.

Disclosures: Tinuiti is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or other protected statuses. Reasonable accommodations are provided for applicants with disabilities upon request.