Senior Data Scientist, MarTech Data Science and Measurement

Maleda Tech

2d • $75 - $110 • Remote

About The Position

We are looking for a Senior Data Scientist to lead measurement and analytics within a fast-moving marketing technology (MarTech) environment. In this role you will be the analytical backbone behind how marketing performance is measured, understood, and improved. You will partner closely with marketing, engineering, product, and finance teams to design measurement frameworks, quantify the impact of campaigns and channels, and turn complex data into clear, decision-ready insights. This is a high-impact, high-ambiguity role suited to someone who enjoys defining the right questions as much as answering them, and who can operate independently across a large and evolving data landscape.

Requirements

• 5 or more years of experience in data science or quantitative analytics, with a strong track record in marketing measurement, experimentation, or causal inference.
• Highly proficient in SQL and Python (or R), and comfortable working with large, messy, real-world datasets.
• Hands-on experience with at least one of the following: incrementality and lift testing, marketing mix modeling, attribution modeling, or A/B and experiment design.
• Solid foundation in statistics and causal inference, and ability to clearly explain the assumptions and limitations behind your methods.
• Ability to work independently in an ambiguous environment, scope your own problems, and communicate results persuasively to senior stakeholders.

Nice To Haves

• Experience supporting marketing or growth functions at a large consumer technology company, online marketplace, or platform business is strongly preferred.
• Familiarity with modern MarTech and measurement tooling, cloud data warehouses (such as BigQuery, Snowflake, or Redshift), and workflow tools (such as dbt or Airflow) is a plus.
• Exposure to media measurement in a privacy-conscious environment, Bayesian methods, or production-grade model deployment is also valued.
• An advanced degree in a quantitative field (statistics, economics, computer science, or similar) is welcomed but not required.

Responsibilities

• Design and own marketing measurement methodologies, including incrementality testing, marketing mix modeling, multi-touch attribution, and experiment design.
• Build statistical and machine learning models to evaluate channel effectiveness, forecast outcomes, and inform budget allocation.
• Translate ambiguous business questions into rigorous analytical plans, then deliver findings to both technical and non-technical stakeholders in a way that drives action.
• Collaborate with data engineering to improve the quality, structure, and reliability of marketing data pipelines, and define the metrics and instrumentation needed to measure what matters.
• Mentor other analysts and data scientists, helping raise the analytical bar across the team.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior