Senior Data Scientist

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💎 Seniority level: Senior, 5+ years

📍 Location: Worldwide

💸 Salary: 90000.0 - 160000.0 USD per year

🔍 Industry: Software Development

🏢 Company: Automattic Careers

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonSQLData MiningHadoopMachine LearningNumpyData sciencePandasSparkData visualizationData modelingA/B testing

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.

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