Senior Data Scientist - Marketing

DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human‑like translation, improved writing and real‑time voice translation. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey.

What Sets Us Apart

What sets us apart is our blend of cutting‑edge AI technology, meaningful work, and a culture where people truly thrive. We’re a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected.

Meet the Team Behind This Journey

DeepL has millions of passionate users around the globe, both consumer and enterprise. These users generate a vast amount of data that DeepL teams utilise to constantly improve the customer experience, the product and internal collaboration and process. Our Data teams, both the central Data Track and embedded Data Community teams, are agents of learning and change – extracting, enriching and utilising data to make better decisions. The Marketing Science team is the engine behind our data‑driven growth strategy.

About the Role

We are hiring a Senior Data Scientist to bridge the gap between Marketing, Sales, and Data. While this role focuses on our B2B and sales‑assisted journey, we value candidates who understand the nuances of high‑growth customer acquisition in any complex environment, be it B2B or B2C. You will be responsible for modeling how diverse marketing touchpoints influence everything from initial awareness to pipeline generation and, ultimately, closed revenue. You will lead the development of our measurement framework, moving beyond simple lead counts to sophisticated causal inference, attribution and ROI models that reflect the reality of a B2B sales cycle.

Your Responsibilities

• Marketing Partnership & Enablement: Drive an evidence‑based culture by translating complex causal models into actionable playbooks and self‑service dashboards, aligning diverse stakeholders and priorities to ensure trust in measurement and clarity in strategic decision‑making.
• Marketing Data Architecture: Take ownership of the end‑to‑end data lifecycle by writing production‑grade dbt models and building a scalable data architecture for the marketing domain. This includes integrating fragmented data from CRM systems (e.g., Salesforce), web analytics, and marketing platforms, while applying rigorous data quality tests and maintaining the integrity of our data pipelines.
• Causal Measurement Strategy: Design and execute causal inference methods involving A/B, incrementality and holdout tests to isolate the true incremental impact of marketing spend.
• Predictive Modelling & LTV: Build models to predict lead quality, Customer Lifetime Value (LTV) and revenue potential, helping the business distinguish between high‑volume traffic and high‑value conversion paths.
• Scenario Planning: Develop forecasting tools and Marketing Mix Models (MMM) to inform long‑range strategic planning and optimise our channel mix for both B2C and B2B revenue.
• Complex Journey Attribution: Develop and maintain attribution models (MTA, DDA) that account for long consideration cycles and multiple touchpoints, whether at an individual or account level.

Qualities we look for

• 5–8+ years of experience in Marketing Science, Data Science, or Econometrics. Experience in B2B, SaaS, or high‑consideration B2C is highly desirable.
• Expert in SQL and data transformation tools (e.g., dbt); able to build and maintain robust data pipelines.
• Strong Python skills for statistical modelling (proficient with libraries such as CausalML, DoWhy, Statsmodels, LightweightMMM, GoogleMeridian).
• Comfortable with modern cloud data platforms (e.g., DataBricks, Snowflake, BigQuery).
• Hands‑on experience measuring incremental impact of marketing and sales initiatives using a variety of methods (e.g., quasi‑experimental designs, matching, MMM, and Causal ML).
• Proven ability to model complex, multi‑touch journeys and the relationship between marketing activity and sales‑assisted outcomes.
• Excellent communication skills with the ability to tell compelling stories with data and explain complex concepts (like incremental lift) to non‑technical partners.
• A self‑starter with a proven ability to act as a "product owner" for data initiatives, effectively prioritising multiple workstreams and to structure complex, open‑ended business problems.

We are an equal opportunity employer. You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.