Remote Senior Data Scientist - High-Impact Research Projects
About the Role
We are seeking a Remote Senior Data Scientist to join our team and contribute to high-impact research initiatives. This role offers an exciting opportunity to analyze user behavior, traffic patterns, and engagement across digital platforms. As a Remote Senior Data Scientist, you will work with large-scale datasets and apply advanced statistical methods to produce actionable insights that inform product and content strategies.
What You'll Do
- Conduct analyses of traffic health, referrer patterns, and visibility trends using time-series and statistical methods.
- Explore relationships between traffic sources and user engagement, including contribution likelihood and on-platform behavior.
- Support natural experiments and evaluate the downstream impact of changes in content visibility or platform features.
- Produce clean, well-documented datasets, summary tables, Jupyter notebooks, and analytical visuals.
- Document methods, assumptions, and analytical decisions; provide internal briefs or memos summarizing key findings.
- Collaborate with cross-functional teams including Data Engineering, Research & Decision Science, and Product & Technology.
- Contribute to reproducible workflows and handover materials to ensure continuity of research insights.
Requirements
- Master’s or PhD in a quantitative field such as statistics, data science, economics, mathematics, or computer science.
- 6+ years of professional experience in data science or quantitative analysis roles.
- Advanced proficiency in SQL for large, distributed datasets and Python for data analysis (pandas, numpy, statsmodels, scikit-learn, Jupyter).
- Experience with time-series modeling, applied causal inference (Diff-in-Diff, event studies), and analyzing log-level behavioral data.
- Strong analytical skills, with the ability to assess data feasibility, design methodological approaches, and interpret uncertainty.
- Excellent communication skills for collaborating with technical and non-technical stakeholders.
- Ability to work independently in a fast-moving, ambiguous environment and manage competing priorities.
- Experience with GitLab or similar version control and collaboration platforms.
- Familiarity with Wikimedia or large-scale content platforms is a plus.
Nice to Have
- Experience with advanced machine learning techniques.
- Knowledge of data visualization tools such as Tableau or Power BI.
- Experience in A/B testing and experimental design.
What We Offer
- Competitive contract pay aligned with experience and location.
- Fully remote work with flexible hours overlapping the Eastern Time Zone.
- Opportunity to work on high-impact, research-driven projects influencing platform strategy.
- Collaboration with diverse, expert teams in a mission-driven environment.
- Exposure to advanced analytics, causal inference, and time-series methodologies.
- Structured handover and documentation to support professional growth and portfolio development.
This Remote Senior Data Scientist role offers a chance to work on impactful research projects with a competitive salary and flexible hours.
About Jobgether
Explore Jobgether careers in 2026 and discover a wide range of job openings, including remote, hybrid, and office roles. Our platform offers advanced filters, application tracking, and valuable company insights to enhance your job search experience. Uncover exciting career opportunities at Jobgether and take the next step towards your dream role today. Join us and shape your future in 2026.
Who Will Succeed Here
Proficiency in Python and SQL for data manipulation and analysis, with a strong understanding of libraries such as Pandas, NumPy, and Scikit-learn for implementing machine learning models.
Self-motivated and disciplined work style suited for remote environments, demonstrating the ability to manage time effectively and deliver results without direct supervision.
Experience in applying advanced statistical and time-series analysis techniques to derive insights from complex datasets, fostering a mindset of curiosity and continuous improvement in analytical methods.
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