Wikimedia Foundation

Senior Data Scientist

Wikimedia Foundation

full-time

Posted on:

Location Type: Remote

Location: Remote • California • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Salary

💰 $106,227 - $167,858 per year

Job Level

Senior

Tech Stack

ApacheETLHadoopPythonSparkSQL

About the role

  • In partnership with the DL&E Manager, building data systems for grant-funded activities and outcomes that enable standardization and connection with our primary data pipelines
  • Creation and maintenance of internal data dashboards to track Community Growth programs' outcomes and impacts
  • Identifying actionable insights from trends and themes across datasets to inform reports and decision-making about grantmaking, partnerships, and programmatic interventions
  • Designing Community Growth data processes for maximum effectiveness, building data frames and connecting to pipelines for effective and efficient storage and retrieval, basic aggregation and ETL
  • Collaborating across departments, including with technology data teams, to ensure that calculation of metrics are aligned with Foundation-level metric practices
  • Proactively identifying requirements to support and improve an evolving data ecosystem

Requirements

  • Fluency in English
  • Bachelor’s degree and five years related experience OR a Master’s degree and at least three years related experience; or equivalent advanced work experience in data analysis, data science, research and analytics or a related field
  • Proven experience with programming languages, particularly SQL and Python
  • Experience calling and working with APIs in Python, including authentication, pagination, and JSON data handling
  • Experience working with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark)
  • Experience with data visualization and dashboarding tools like Apache Superset, Google Looker Studio, or similar tools
  • Experience with Google Suite (Including the full suite of collaborative apps and advanced coding in Google Sheets/MS Excel).
Benefits
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Flexible work arrangements

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisdata scienceresearchanalyticsSQLPythonAPIsETLdata visualizationdashboarding
Soft skills
collaborationcommunicationproblem-solvingproactive identificationinsight generation