Raya17.02.26
AI SCORE 8.5

Remote Senior Data Scientist - Drive Product Insights

$140K–$180K/year

About the Role

We are looking for a Remote Senior Data Scientist to join our Core Engagement team at Raya. In this role, you will collaborate with cross-functional teams to develop and execute product roadmaps, defining and owning the metrics that measure our success. As a Remote Senior Data Scientist, you will play a pivotal role in fostering a data-centric culture and driving product changes through data insights.

What You'll Do

  • Design, evaluate, and interpret experiments while balancing speed with statistical rigor.
  • Influence product direction by translating insights into actionable recommendations that shape roadmap prioritization.
  • Conduct exploratory data analysis to develop key strategic insights that inform future investments or pivot strategies.
  • Build scalable metrics and dashboards to empower efficient decision-making across teams.
  • Own the definition and evolution of success metrics for core engagement surfaces, balancing trade-offs between short-term and long-term member value.

Requirements

  • 5+ years of experience in data science and product analytics.
  • BS and/or MS in a quantitative discipline such as statistics, operations research, computer science, engineering, applied mathematics, physics, or economics.
  • Proven experience in designing trustworthy experiments and analyzing complex A/B testing results.
  • Expertise in SQL, including complex joins, window functions, and performance-aware querying on large datasets.
  • Proficiency in Python or R programming, including common scientific computing packages such as NumPy, Pandas, and Scikit-learn.
  • Strong applied statistics background, including hypothesis testing, confidence intervals, power analysis, and causal inference techniques.
  • Familiarity with modern analytics and BI tools like Looker, Tableau, Omni, Hex, Sigma, Eppo, and StatSig is a plus.
  • Strong verbal and written communication skills, with the ability to convey rigorous statistical concepts to non-experts.

Nice to Have

  • A strong understanding of two-sided marketplace dynamics.
  • Experience in navigating ecosystem effects.
  • Eagerness to explore and apply AI and emerging technologies (e.g., LLMs, automation).

What We Offer

  • Competitive salary ranging from $140,000 to $180,000 annually.
  • Fully remote work environment with flexible hours.
  • Opportunity to work with cross-functional teams and influence product direction.
  • Access to modern analytics tools and technologies.
  • Support for continuous learning and professional development.
Why This Job8.5 of 10

This role offers a unique opportunity to influence product direction through data insights while working in a fully remote environment. The competitive salary and focus on professional development make it an attractive position.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficiency in SQL and Python with hands-on experience in data manipulation using libraries like Pandas and NumPy, enabling the candidate to efficiently handle large datasets and perform complex analyses.

Strong analytical mindset with a proven track record in A/B Testing and statistical analysis, allowing the candidate to derive actionable insights that directly inform product development and strategy.

Self-motivated and disciplined in a remote work environment, demonstrating the ability to manage time effectively and collaborate asynchronously with cross-functional teams to drive project success.

Learning Resources

SQL for Data Sciencecourse

Career Path

Remote Senior Data Scientist - Drive Product Insights(Now)Lead Data Scientist(1-2 years)Director of Data Science(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
24.5%
AI Adoption in Data Science
60%
Investment in Data Analytics
+35%
Labour Demand for Data Scientists
+30%
Avg Salary for Senior Data Scientists
$130K

Skills & Requirements

Required
SQLPythonR
Growing in Demand
Machine LearningData Visualization (Tableau, Power BI)Cloud Data Services (AWS, Azure)
Declining
Excel for Data AnalysisTraditional Data Warehousing (e.g., Teradata)

Domain Trends

Increased Focus on Automated Machine Learning (AutoML)
Organizations are increasingly adopting AutoML tools, with a 50% rise in usage reported in 2023, allowing data scientists to focus on higher-level tasks.
Shift Towards Real-Time Data Processing
Real-time analytics is gaining traction, with 70% of companies investing in streaming analytics solutions to enhance decision-making speed.
Integration of Advanced AI in Data Analysis
82% of data science teams are integrating AI-driven tools into their workflows, significantly improving predictive modeling and insights generation.

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