As a Senior Data Scientist, you’ll play a pivotal role in driving data-informed decision-making for sophisticated products that democratize publishing, commerce, and messaging. You will collaborate closely with Product, Growth, Engineering, Design, and Business teams to uncover insights, shape strategy, and enhance user experiences.
As part of a centralized data science team, you will develop and implement advanced data models, design and execute experiments, and conduct in-depth analyses. Working alongside analysts and engineers embedded within diverse business units, you will translate complex data into actionable strategies that drive customer and business impact.
This role requires strong analytical expertise, familiarity with SaaS business models, and the ability to distill complex data into strategic recommendations. Additionally, you will inform the technical direction, provide strategic guidance on execution, and uphold the quality of data science and analytics initiatives across the company.
Primary Responsibilities
Employ technical expertise in quantitative analysis, advanced statistics, experimentation, and data mining to develop data-driven strategies for products that democratize publishing and commerce.
Proactively identify, define, and test opportunities and levers to enhance the product, ensuring data-driven decision-making that drives measurable business and customer impact. Translate insights into actionable recommendations that influence roadmaps and strategic investments.
Contribute to the development and implementation of advanced data analysis techniques and statistical models across multiple business units.
Design and drive company-wide data initiatives, shaping the direction of data analytics and insights to support strategic decisions.
Mentor and guide data scientists and analysts.
Partner with Growth, Product, Engineering, Design, and senior leadership to inform, influence, and execute product and growth strategies, leveraging key insights to drive measurable, company-wide impact.
Communicate complex strategic insights and recommendations to non-technical stakeholders, facilitating data-driven decision-making at the highest levels of the company.
Technical Requirements
5+ years of experience in data science, analytics, or a related role within a tech company, preferably SaaS, working with large-scale, complex, product-focused data sets to drive measurable business impact.
Strong expertise in experimentation, statistical analysis (e.g., hypothesis testing, t-tests, regression analysis, time series analysis, bootstrapping), machine learning, and predictive modeling.
Proficiency in Python and key data science libraries, including Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.
Fluency using distributed SQL query engines like Hive, Presto, or Trino.
Familiarity with big data technologies (e.g., Hadoop, Spark).
Salary range: $90,000-$160,000 USD. Please note that salary ranges are global, regardless of location, and we pay in local currency.
We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.
We’re pleased to offer a straightforward, competitive base salary, providing financial clarity without complex variable components. This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy . To see a full list of benefits by country, consult our Benefits Page . And check out these links to learn more about How We Hire and What We Expect from Ourselves .
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