Data Scientist

SleeperRemote - USA$75k – $75k2d ago

Remote NA Data Analytics Gaming Data Scientist Tableau SQL Python Business Intelligence Segment

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Requirements

Strong command of SQL and Python, or similar data-focused languages.
Python
Proficiency in Tableau or similar BI tools.
Tableau
BI tools
Proven experience with data modeling, pipeline design, and working with large-scale datasets.
data modeling
pipeline design
Solid understanding of experimental design, causal inference, and statistical analysis.
experimental design
Ability to visualize and communicate insights clearly to both technical and non-technical stakeholders.
visualize and communicate insights
Prior experience in a product analytics, business intelligence, or data science function.
product analytics
business intelligence
data science
Experience working with Marketing teams to design promotional strategies, segment and target users, and measure effectiveness of campaigns.
Experience working with large-scale product usage data to uncover patterns in user behavior, engagement, retention, and conversion.
product usage data
Experience working in real money gaming or other high-velocity transaction environments.
real money gaming
Experience working with teams focused on monetization and gaming economies.
monetization and gaming economies
We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role.
For this role, in this particular location, a reasonable estimate of the base salary range for new hires is between $75,000 USD to $175,000 USD, plus benefits including Medical, Dental, PTO, and 401k.
Please note that the salary range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs.

Responsibilities

Design, build, and maintain scalable data pipelines to ensure reliable, timely access to core product and business data.
scalable data pipelines
Define and develop core metrics to measure product performance, feature adoption, user engagement, and strategic initiatives.
core metrics
Build and maintain interactive dashboards in Tableau (or similar BI tools) to deliver clear, actionable insights to product and business stakeholders.
interactive dashboards
Design and analyze experiments (A/B tests) to evaluate new features and product changes.
experiments (A/B tests)
Translate complex data into clear, actionable insights using statistical analysis and visual storytelling.
statistical analysis and visual storytelling
Collaborate cross-functionally with product managers, engineers, designers, and executives to drive impact through data.
Proactively identify trends, anomalies, and opportunities hidden in user behavior and market dynamics.