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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** BATON CORPORATION - **Location:** New York, United States - **Contract:** Permanent contract - **Skills:** A/B Testing, Airflow, Big Data, BigQuery, Customer Data Management, Data Visualization, Python (Programming Language), Machine Learning, Blockchain, SQL Databases, Modeling and Simulation, Marketplace - **Published:** September 10, 2026 - **Apply:** https://startup.jobs/staff-data-scientist-growth-marketing-400k-500k-baton-corporation-ltd-9953751 ## About the Role * An experienced Data Scientist with significant exposure to paid acquisition, performance marketing or growth analytics within a scaled consumer technology business. * Highly proficient in Python or R and SQL, with the ability to work independently across large and complex datasets. * Deeply familiar with the challenges of measuring paid marketing performance, including attribution, incrementality, selection bias and platform-reported metrics. * Experienced designing and analysing experiments, including geo tests, holdouts, A/B tests or other causal inference approaches used to measure marketing effectiveness. * Comfortable working with metrics such as CAC, LTV, ROAS, retention, conversion and payback, and understand how those metrics interact across the customer lifecycle. * Able to move beyond reporting what happened and determine why it happened, what will happen next and what we should do about it. * Comfortable building data models and lightweight pipelines, ideally with tools such as dbt, Dagster and BigQuery. * Experienced with data visualisation and dashboarding tools and capable of creating clear, decision-oriented reporting for non-technical stakeholders. * High-agency and comfortable owning ambiguous, high-impact problems from initial question through to recommendation and implementation. * An excellent communicator who can work closely with Marketing, Product and Engineering teams and influence decisions through data. * Strong product and commercial intuition, with an interest in understanding not just marketing performance but the broader behaviour of our users and market. * Experience with crypto, blockchain or on-chain data is beneficial but not essential., * Experience working with large-scale paid acquisition budgets across channels such as Meta, Google, TikTok, X or other major advertising platforms. * Experience developing or implementing marketing mix modelling, multi-touch attribution, incrementality testing or other advanced marketing measurement frameworks. * Experience building LTV, propensity, conversion or user-quality models used to inform acquisition strategy or bidding decisions. * Experience working with advertising platform APIs, mobile attribution platforms or customer data platforms. * Experience operating within a high-growth consumer product, marketplace, fintech, gaming or social platform. * Experience with machine learning methods applied to growth, marketing or user behaviour. * Experience with crypto, blockchain or on-chain data, or a demonstrated interest in the space. * Familiarity with data visualisation and modelling tools such as Omni. ## Description We're seeking an experienced, versatile Data Scientist who thrives in a fast-paced environment. In this role, you'll have the freedom to identify opportunities, design and implement solutions, and measure their impact across our product. You'll collaborate with cross-functional teams while maintaining ownership of your projects from conception to completion. * Own the measurement and analytics framework for our growing marketing & paid acquisition efforts, helping determine where and how we should deploy significant marketing budgets. * Develop frameworks for understanding incrementality, attribution, CAC, LTV, ROAS, payback periods and channel efficiency, ensuring we optimise for genuine business impact rather than platform-reported performance. * Design and analyse experiments across creative, audience, channel, bidding and landing-page strategies to identify what drives incremental user acquisition, engagement and revenue. * Build models and analytical tooling to understand user quality and predict downstream value across different campaigns, channels, cohorts and acquisition sources. * Partner closely with Growth and Marketing to turn complex data into clear recommendations on budget allocation, campaign strategy and where to scale or reduce spend. * Combine advertising platform data with first-party product, behavioural and on-chain data to build a complete view of the acquisition funnel and customer lifecycle. * Build foundational data models, dashboards and automated reporting that allow teams to understand marketing performance in real time. * Identify opportunities to improve our marketing data infrastructure, tracking and eventing, working closely with Engineering to ensure we have reliable data from impression through to downstream product behaviour. * Contribute to the wider Data Science function across product performance, experimentation, user behaviour, ecosystem analysis and competitive intelligence. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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