Senior Data Scientist (4-month, full-time)

Contract Duration: 16 weeks

Location: Remote (but with the ability to take meetings between 9:00 am to 5:00 pm EST time zone)

Summary

The Wikimedia Foundation is undertaking a research initiative to better understand how people reach Wikimedia projects, how different traffic sources relate to on-wiki engagement, and how changes in visibility affect content quality and contributor activity. This work will support future improvements to search visibility, partnerships, and movement-wide understanding of contributor pathways.

Scope of Work

The contractor will support analytical components of this initiative, focusing on:

Traffic Health & Visibility Trends: Producing descriptive analyses of human traffic patterns, referrers, and indicators of traffic stability over time.
Engagement & Attribution Exploration: Supporting preliminary assessments of how traffic sources relate to on-wiki engagement (e.g., likelihood of exploring additional pages or initiating contribution).
Natural Experiments & Content Quality: Assisting in analyses of cases where sudden changes in visibility allow us to study downstream impacts on editing activity or content quality.

Deliverables

Analytic Deliverables

Cleaned/joined datasets, summary tables, and Jupyter notebooks supporting analyses
Time-series analyses for Traffic Health indicators and content reusers
Natural experiment analyses with interpretable visuals and written summaries

Documentation Deliverables

Method documentation describing assumptions, data limitations, and analytical decisions
Short briefs or memos explaining key findings for internal stakeholders
Clear handover materials enabling reproducibility

Potential Deliverables (Depending on Time & Feasibility)

Early prototype views for dashboards (Superset/Turnilo)
Early specification drafts for indicators or experimental frameworks

Qualifications

Technical Skills

Advanced SQL (large-scale distributed datasets)
Python expertise (pandas, numpy, statsmodels, scikit-learn, Jupyter)
Ability to work collaboratively in GitLab repositories
Time-series modeling experience
Applied causal inference (Diff-in-Diff, event studies, lag analysis)
Experience working with log-level or large behavioral datasets

Analytical Skills

Ability to evaluate data feasibility and design methodological approaches
Ability to interpret and communicate analytical uncertainty
Strong documentation practices and reproducibility mindset

Soft/Collaborative Skills

Ability to work independently in a fast-moving, ambiguous research environment
Strong communication with non-technical stakeholders
Ability to manage competing priorities across multiple research modules
Knowledge of the Wikimedia movement and ecosystem a plus

Senior Data Scientist (Contract)

Anywhere in the world

Remote

Senior

Wikimedia Foundation