Staff Data Scientist
Automattic is looking for a Staff Data Scientist to be a technical leader at our globally distributed company.
You’ll lead a centralized data science team focused on the development and implementation of advanced data models and analyses. The team will work hand-in-hand with analysts and engineers embedded in our diverse business units to translate data insights into actionable strategies that have real impact. You’ll set the technical direction, guide the execution, and ensure the quality of data science and analytics across the entire company.
Primary responsibilities
Be a technical leader and beacon of excellence across the company.
Lead the development and implementation of advanced data analysis algorithms 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 junior data scientists and analysts.
Collaborate with senior management and cross-functional teams to leverage data to drive company-wide impact.
Communicate complex data-driven insights and recommendations to non-technical stakeholders, facilitating data-driven decision making at the highest levels of the company.
Technical Requirements
Minimum 5 years of experience in a senior data science role within a large, complex tech company.
Strong expertise in statistical analysis, basic machine learning, and predictive modeling.
Proficient in Python and familiar with data science libraries (e.g., pandas, scikit-learn).
Fluency using distributed SQL query engines like Hive, Presto, or Trino.
Familiarity with big data technologies (e.g., Hadoop, Spark).
Nice to have (but not required):
Advanced degree (M.S. or Ph.D.) in a quantitative field (e.g., Computer Science, Statistics).
Knowledge of domain-specific analytics (Web hosting, WordPress development).
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.
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.
About the job
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Staff Data Scientist
Automattic is looking for a Staff Data Scientist to be a technical leader at our globally distributed company.
You’ll lead a centralized data science team focused on the development and implementation of advanced data models and analyses. The team will work hand-in-hand with analysts and engineers embedded in our diverse business units to translate data insights into actionable strategies that have real impact. You’ll set the technical direction, guide the execution, and ensure the quality of data science and analytics across the entire company.
Primary responsibilities
Be a technical leader and beacon of excellence across the company.
Lead the development and implementation of advanced data analysis algorithms 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 junior data scientists and analysts.
Collaborate with senior management and cross-functional teams to leverage data to drive company-wide impact.
Communicate complex data-driven insights and recommendations to non-technical stakeholders, facilitating data-driven decision making at the highest levels of the company.
Technical Requirements
Minimum 5 years of experience in a senior data science role within a large, complex tech company.
Strong expertise in statistical analysis, basic machine learning, and predictive modeling.
Proficient in Python and familiar with data science libraries (e.g., pandas, scikit-learn).
Fluency using distributed SQL query engines like Hive, Presto, or Trino.
Familiarity with big data technologies (e.g., Hadoop, Spark).
Nice to have (but not required):
Advanced degree (M.S. or Ph.D.) in a quantitative field (e.g., Computer Science, Statistics).
Knowledge of domain-specific analytics (Web hosting, WordPress development).
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.
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.