MoonPay26.02.26
AI SCORE 8.5

Senior Product Data Scientist - Remote Opportunity

$140K–$160K/year

About the Role

We are looking for a Senior Product Data Scientist to join our team at MoonPay. This remote role offers the opportunity to shape our product strategy through data-driven insights and analytics. As a Senior Product Data Scientist remote, you will play a crucial role in enhancing the customer onboarding journey, utilizing your expertise to drive significant business impact.

What You'll Do

  • Provide insights and recommendations based on a deep understanding of MoonPay flows, identifying and driving new opportunities for product improvements and enhanced customer safety.
  • Collaborate closely with product teams and business stakeholders to review product performance and deliver data-driven strategies for increased product performance.
  • Define KPIs, design tracking, and set up monitoring for new product launches and changes.
  • Oversee and implement A/B tests and other experiments to drive optimization efforts.
  • Design, build, and scale both internal and external data products, which drive informed decision-making, including dashboards, reports, data models, and algorithms.
  • Communicate complex concepts and findings to technical and non-technical audiences across different teams, ensuring clarity and understanding to drive critical business decisions.

Requirements

  • 4+ years of hands-on experience as a data scientist or data analyst, preferably in a product-focused role.
  • Advanced SQL, data modeling, and data visualization tools are second nature to you.
  • Strong understanding of statistics and probability, with experience conducting large-scale A/B tests.
  • Experience working cross-functionally with product and operation teams.
  • Experience in the fintech and/or crypto space is preferred.
  • Exceptional communication skills, capable of summarizing complex data findings for various audiences.

Nice-to-Have

  • Experience with dbt, BigQuery, Looker, and Python.
  • Experience working in startups or scale-ups.
  • Experience in the KYC/Onboarding space.
  • Working knowledge of Machine Learning principles.

What We Offer

  • Competitive salary package.
  • Equity package for all employees, promoting financial freedom.
  • Pay for performance equity bonus for those who drive outsized outcomes.
  • Unlimited holidays, allowing you to choose when to work and when to switch off.
  • Hybrid working schedule: fully remote or at your nearest Moonbase.
  • Private healthcare benefits for you and your loved ones.
  • Enhanced parental leave to spend more time with your family.
  • Annual training budget to support your professional growth.
  • Home office setup allowance to create your ideal workspace.
  • Remote working allowance for utilities.
  • Monthly budget for our products and zero-fee crypto transactions.
  • Employee referral program with rewards.
  • Regular remote company offsites for team building and collaboration.

Commitment to Diversity

At MoonPay, we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work. We are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer.

Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Product Data Scientist role at MoonPay offers a unique opportunity to shape product strategy in the rapidly evolving crypto space. With competitive compensation and a commitment to diversity, it's a great fit for data professionals looking to make an impact.

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

Who Will Succeed Here

Strong proficiency in SQL and experience with BigQuery for building complex queries and optimizing data retrieval, crucial for analyzing large datasets in a cloud environment.

Proven ability to create compelling data visualizations using Looker, enabling stakeholders to easily interpret insights and make informed decisions regarding product strategy.

A proactive mindset with a focus on experimentation and A/B testing methodologies, allowing for rapid iteration and improvement of product features based on empirical data.

Learning Resources

SQL for Data Sciencecourse

Career Path

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

Market Overview

Market Size 2024
$14.5B
Annual Growth
10.2%
AI Adoption
45%
Investment
+35%
Labour Demand
+20%
Avg Salary
$130K

Skills & Requirements

Required
SQLData ModelingData Visualization
Growing in Demand
Apache SparkData EngineeringCloud Data Warehousing
Declining
Excel for Data AnalysisTraditional Data Warehousing

Domain Trends

Rise of Real-Time Analytics
With 60% of organizations adopting real-time analytics, the demand for professionals skilled in technologies like Apache Kafka and stream processing is increasing.
Integration of AI in Data Science
AI tools are being integrated into data science workflows, with 50% of data scientists reporting increased use of AI in their projects, emphasizing the need for skills in machine learning.
Shift to Cloud-Based Data Solutions
The cloud data warehousing market is projected to grow by 25% annually, leading to an increased need for expertise in platforms like BigQuery and Snowflake.

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