Data Science & Analytics Lead

BMG360; New York (NY); On-site; USD 180,000 - 230,000; Full time

Job summary

BMG360 in New York is seeking a Data Science & Analytics Lead with 6+ years of experience. This is a hands-on technical lead role focused on analysis, modeling, and owning attribution and measurement methodologies.

You will partner with media, account, finance, and data engineering teams to build MMM and MTA, run lift tests, and translate results into actionable BI dashboards for leadership and staff.

Qualifications

• 6+ years in marketing analytics, data science, or measurement-focused role.
• Bachelor's degree in Statistics, Economics, Mathematics, Data Science or CS or equivalent experience.
• Deep hands-on experience with direct and modeled attribution (MTA) and MMM.
• Proficiency in BI tools like Power BI or Looker for dashboards.
• Strong statistical foundation: experimental design, causal inference, regression, time series.
• Strong SQL for production analysis in a cloud warehouse.
• Strong Python or R for modeling and analysis.
• Experience with media data (platform spend, CRM, conversion data).
• Clear communication to both technical and non-technical stakeholders.
• Demonstrated technical leadership: model reviews, setting standards, peer reviews.

Responsibilities

• Own attribution and measurement strategy across MTA, incrementality tests, lift studies, and MMM.
• Design and run holdouts, geo experiments, and matched market tests.
• Build and maintain MMMs to inform budget allocation across channels and markets.
• Develop BI dashboards and self-service reporting for non-technical users.
• Collaborate with data engineering on data platform requirements and pipelines.
• Translate model outputs into media and budget recommendations.
• Validate models and document assumptions for scrutiny.
• Lead analysis and model reviews, guiding run quality and standards.
• Explore AI/agent-assisted analytics for faster exploration and QA.

Skills

6+ years experience in analytics

MTA / MMM modeling

SQL

Python or R

Power BI / Looker

Data storytelling

Communication with non-technical

Technical leadership

Education

Bachelor's degree in Statistics / CS / Economics

Tools

Power BI

Looker / Looker Studio

SQL

Job description

The BMG360 Business Intelligence & Technology department is looking for a Data Science & Analytics Lead with 6+ years of experience to join our growing team. This is a hands-on technical lead role, not a people-management position, and we're looking for someone who leads primarily through analysis, modeling, and example rather than headcount. You will set the analytical direction for how we measure marketing performance, own our attribution and measurement methodology, and raise the bar for the analysts and engineers around you through peer review and shared standards. The hire will design and build the models and dashboards our media, account, and leadership teams rely on daily, and will be the company's authority on direct and modeled attribution, from multi touch attribution (MTA) through incrementality testing, lift studies, and marketing mix modeling (MMM). The ideal candidate has deep statistical and modeling fluency, hands-on experience building and validating attribution and measurement systems in a real media environment, and is equally comfortable writing production analysis code and building the BI dashboards (Power BI, Looker or Looker Studio, or similar) that make that analysis usable by non-technical stakeholders. You will partner closely with media buying, account, finance, and data engineering teams, and serve as the trusted analytical voice in decisions about where and how we invest media dollars. The right candidate is excited by the prospect of owning how we measure what's working and is comfortable learning the complicated world of direct response media.

Day to day, the work spans building and maintaining attribution and measurement models across dozens of marketing channels, running incrementality and lift tests, building and refining marketing mix models (MMM), and translating results into BI dashboards and self-service reporting that media buyers, account teams, and leadership use daily. Roughly 50% of the role is modeling and measurement work, 30% is BI and dashboard development, and 20% is technical leadership: peer review of analysis and models, design discussions, and raising the bar for analytical rigor across the team. This is a hands-on role with a broad surface area and a short path from analysis to decision, and the right person will be eager to own measurement systems end to end and set the standards others follow.

Key Responsibilities

• Own our attribution and measurement strategy. Design, build, and maintain direct and modeled attribution across multi touch attribution (MTA), incrementality testing, lift studies, and marketing mix modeling (MMM), and decide which method fits which question.
• Design and run incrementality and lift tests. Structure holdouts, geo experiments, and matched market tests, and define the test design, sample size, and readout methodology the team can trust and repeat.
• Build and maintain marketing mix models (MMM). Translate media spend, seasonality, pricing, and external factors into models that inform budget allocation across channels and markets.
• Build and own BI dashboards and self-service reporting. Power BI, Looker or Looker Studio (or a similar platform), turning models and raw data into tools that media, account, and finance teams can use without an analyst in the loop.
• Partner directly with data engineering. Define what your attribution and measurement models need from the data platform, and work with the Data Engineering Lead on schema, freshness, and pipeline reliability for the tables that feed your models.
• Translate model output into a media and budget point of view. Work directly with media buying and account teams to turn attribution and MMM results into channel, campaign, and budget recommendations.
• Validate and stress test your own models. Document assumptions, define what "working" means for each method, and hold your models to a standard that would survive challenge from finance or a client.
• Lead analysis and model review. Review other analysts' models, dashboards, and statistical approaches, and set the shared standards the team analyzes to. This is technical leadership through hands-on practice, not people management.
• Bring AI and agent-assisted workflows into analytics, using LLMs and agent tooling to accelerate exploratory analysis, QA models, and prototype new measurement approaches, while holding that work to the same rigor as fully manual analysis.
• Raise the analytical bar. Mentor analysts through model review and pairing, help define measurement standards and modeling patterns, and weigh in on technical hiring decisions, without owning people management or performance responsibilities.

Desired Skills & Experience

• 6+ years of professional experience in marketing analytics, data science, or a measurement-focused role, including time spent setting analytical direction or acting as a de facto technical lead.
• Bachelor's degree in Statistics, Economics, Mathematics, Data Science, Computer Science, or a related field, or equivalent hands‑on experience.
• Deep, hands-on experience with direct and modeled attribution, specifically multi touch attribution (MTA), incrementality testing and lift studies, and marketing mix modeling (MMM). This is a core requirement, not a nice-to-have; candidates should be prepared to speak to methods they have personally built and validated.
• Proficiency in a modern BI platform such as Power BI, Looker or Looker Studio (or a comparable tool), building dashboards and self-service reporting that non-technical stakeholders actually use.
• Strong statistical foundation: experimental design, causal inference, regression and time series methods, and the judgment to know which method fits which business question.
• Strong SQL for production analysis work: complex joins, window functions, and query optimization against a modern cloud warehouse (Snowflake or comparable).
• Strong Python or R for statistical modeling and analysis: clean, reproducible, well-documented code rather than one-off notebooks.
• Experience working with media and marketing data: platform‑level spend and performance data, CRM and conversion data, call tracking, and the quirks specific to direct response advertising.
• Clear communication with both technical and non-technical stakeholders, able to explain methodology and trade‑offs to media, account, and finance teams and defend a model under scrutiny.
• Demonstrated technical leadership: setting analytical direction, running model or design reviews, and mentoring analysts through peer review. This is a lead role measured by analytical influence, not headcount managed.
• A critical thinker with strong analytical skills, comfortable working with messy, inconsistent marketing data and distinguishing a data or measurement problem from a genuine change in performance.
• A proactive, collaborative mindset and an openness to learning the complicated world of media and direct response advertising.

Why Join BMG360?

BMG360 has been a leader in the industry since 2003, and we are growing quickly. That growth gives our employees unparalleled opportunities to shape the company's direction. Each employee plays an integral role in the evolution of BMG360, so company‑wide transparency is paramount, and leadership is committed to making sure the entire team knows how we are performing against our annual goals, what challenges we face, and what opportunities are on the horizon.

For a data scientist, that means the questions are real and largely unanswered, the scope is broad, and the path from analysis to decision is measured in days rather than quarters. Rather than reporting on someone else's metrics, you will be defining how the business measures success, with meaningful input into how those measurements get built. As Lead, you'll also have real influence over how the team approaches measurement and modeling: technical leadership through hands‑on ownership, without the overhead of formal people management.

We pride ourselves on a fun, fast‑paced environment to work in and grow your career, as part of a close‑knit team working toward a common goal.