Senior Data Scientist

Summary

Join Automattic as a Senior Data Scientist to lead cross-functional data initiatives. You will collaborate with various teams to leverage data for strategic decision-making, enhancing products that democratize publishing, commerce, and messaging. Responsibilities include developing and implementing advanced data models, designing experiments, conducting in-depth analyses, and translating complex data into actionable strategies. You will also mentor data scientists and analysts, and communicate insights to non-technical stakeholders. This role requires strong analytical expertise, familiarity with SaaS business models, and the ability to distill complex data into strategic recommendations. The ideal candidate will have 5+ years of experience in data science within a tech company, strong expertise in experimentation and statistical analysis, and proficiency in Python and key data science libraries.

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)

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

Benefits

• 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