Staff Data Scientist Lead

New

Skills

Hadoop hive Machine Learning Pandas Python Scikit-learn Spark Sql Statistical Analysis

Automattic seeks a Staff Data Scientist to be a technical leader in a fully remote, globally distributed company. You will direct a centralized data science team, collaborating closely with analysts and engineers to deliver actionable insights and drive strategic impact across multiple business units. This role emphasizes technical excellence, mentorship, and effective communication with both technical and non-technical stakeholders.

Job Overview
  • Lead data science initiatives to advance company-wide analytics and strategy.
  • Drive the development and implementation of advanced data models and analyses.
  • Mentor junior team members and promote best practices in data science.
  • Collaborate with senior management and cross-functional teams to maximize data impact.
  • Communicate complex insights to facilitate informed decision-making at all levels.
Key Responsibilities
  • Set technical direction and ensure quality in data science and analytics across the company.
  • Design and execute advanced algorithms and statistical models for diverse business units.
  • Lead company-wide data initiatives to support strategic decisions.
  • Provide mentorship and guidance to junior data scientists and analysts.
  • Translate data insights into actionable business strategies.
Requirements & Qualifications
  • Minimum 5 years in a senior data science role within a large, complex tech environment.
  • Strong expertise in statistical analysis, machine learning, and predictive modeling.
  • Proficient in Python and key data science libraries (e.g., pandas, scikit-learn).
  • Fluent with distributed SQL engines (Hive, Presto, Trino).
  • Familiarity with big data technologies (Hadoop, Spark).
  • Advanced degree (M.S. or Ph.D.) in a quantitative field is a plus.
  • Knowledge of web hosting or WordPress analytics is beneficial.
  • Excellent communication skills for engaging both technical and non-technical audiences.
  • Ability to work effectively in a remote, distributed team environment.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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