Talantix.io
Raya•11.03.26
AI SCORE 8.5

Remote Senior Data Scientist - Driving Product Insights

$140K–$180K/year
RemoteAI/Big Data
Data Science•SQL•Python•R•A/B Testing•Statistical Analysis•Data Analysis•Machine Learning

About the Role

We are seeking 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 while defining and owning the metrics that measure success. If you are an entrepreneurial and driven data scientist who thrives in a data-centric culture, this opportunity is for you!

What You'll Do

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

Requirements

  • 5+ years of data science and product analytics experience.
  • BS and/or MS in a quantitative discipline such as statistics, operations research, computer science, or applied mathematics.
  • Experience in designing trustworthy experimentation and analyzing complex product A/B testing results.
  • Expert in SQL, including complex joins and performance-aware querying on large datasets.
  • Proficient in Python or R programming, including common scientific computing packages such as NumPy and Pandas.

Nice to Have

  • Familiarity with modern analytics and BI tools like Looker or Tableau.
  • Strong understanding of two-sided marketplace dynamics.
  • Experience in navigating ecosystem effects.

What We Offer

  • Competitive salary ranging from $140,000 to $180,000.
  • Flexible remote work environment.
  • Opportunities for professional development and growth.
  • Collaborative team culture focused on innovation.
  • Access to cutting-edge technologies and tools.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Remote Senior Data Scientist position at Raya offers a competitive salary and the chance to drive impactful product insights in a collaborative environment.

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

Who Will Succeed Here

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Expertise in machine learning frameworks such as TensorFlow or PyTorch, with a focus on building predictive models that drive product insights.

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Strong analytical mindset with proficiency in SQL for database querying and data manipulation, ensuring data integrity and insightful reporting.

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Proven experience in conducting A/B testing and statistical analysis to inform product development decisions, with the ability to translate complex data findings into actionable strategies.

Learning Resources

→Data Science Handbookguide
→Python for Data Science and Machine Learning Bootcampcourse
→SQL for Data Sciencecourse

Career Path

Remote Senior Data Scientist(Now)→Lead Data Scientist(1-2 years)→Data Science Manager(3-5 years)

Market Overview

Market Size 2024
$140B
Annual Growth
30.2%
AI Adoption
75%
Investment
+200%
Labour Demand
+40%
Avg Salary
$130K

Skills & Requirements

Required
Data ScienceSQLPython
Growing in Demand
Deep LearningNatural Language Processing (NLP)Big Data Technologies (e.g., Hadoop, Spark)
Declining
Excel for Data AnalysisTraditional Statistical Software (e.g., SAS)

Domain Trends

Increased Focus on Explainable AI
With 67% of companies prioritizing transparency in AI models, data scientists are increasingly required to provide insights that are interpretable and actionable.
Integration of Automated Machine Learning (AutoML)
The adoption of AutoML tools has increased by 45%, allowing data scientists to focus on higher-level tasks and improving productivity.
Rise of Edge Computing for Data Processing
As 50% of data is expected to be processed at the edge by 2025, data scientists must adapt to new frameworks and tools that support real-time analytics.

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