Senior Data Scientist - Growth

Posted 5 months agoInactiveViewed

💎 Seniority level: Senior, 4+ years

📍 Location: USA

🔍 Industry: Social networking, cryptocurrency

🏢 Company: ZORA

⏳ Experience: 4+ years

🪄 Skills: PythonSQLMachine LearningStrategyData scienceCommunication SkillsA/B testing

4+ years of experience as a Data Scientist on Growth teams or initiatives.
Strong background in statistical analysis, machine learning, and causal inference.
Proficiency in Python, SQL, and data visualization tools like Hex.
Experience with experimentation and A/B testing methodologies.
Familiarity with growth metrics in mobile and/or consumer social products.
Excellent communication skills to translate complex analyses into actionable insights.

Lead the development of frameworks and metrics to quantify and track the health of our growth ecosystem.
Conduct deep strategic analyses and opportunity sizing to address complex growth questions.
Collaborate with product and engineering teams for data-driven recommendations.
Partner with marketing teams to analyze and optimize user acquisition strategies.
Design and apply causal inference techniques to evaluate growth initiatives.
Contribute to the maintenance and improvement of data infrastructure.
Bolster the experimentation platform and oversee A/B testing processes.
Establish and promote data science best practices within the organization.
Support various teams with data-driven insights and foster a culture of data literacy.

Posted about 1 month ago

📍 United States, Canada

🧭 Full-Time

💸 160000.0 - 200000.0 USD per year

🔍 Mobile Games

🔧 Requirements

4+ years in data science for consumer apps or mobile games applications.
Proven experience working with user acquisition campaigns and developing data pipelines, reporting, and visualizations.
Proficiency in Python (or R), SQL, and statistical modeling tools.
Experience with visualization tools (Looker, Tableau, or QlikView) to build compelling data stories that communicate insights effectively.
Familiarity with SKAdNetwork, mobile attribution platforms (e.g., Adjust, Singular, AppsFlyer), and methodologies like media mix modeling and incremental measurement.

💡 Responsibilities

Analyze complex datasets to identify patterns, trends, and actionable insights that support new user acquisition and organic growth.
Create and manage dashboards, visualizations, and reports to uncover trends and insights that answer both strategic and operational questions.
Collaborate with the game development team to define and collect in-game data for analysis, aligning metrics with gameplay and business goals.
Define and improve critical metrics, frameworks, and tools that help teams understand player lifecycle and optimize LTV, loyalty, retention, and return.
Implement advanced statistical and machine learning techniques to optimize user acquisition and marketing campaigns, continuously improving the team’s analytical capabilities.
Design and execute experiments (A/B and multivariate tests) to evaluate marketing efforts and generate actionable recommendations.
Develop, maintain, and enhance SKAdNetwork (SKAN) ETL pipelines, conversion value frameworks, and attribution methodologies to support data accuracy and campaign analysis.
Work cross-functionally with Engineers, Business intelligence, and analytics teams to improve data collection processes, spearheading efforts to capture meaningful metrics and streamline data implementation.

PythonSQLETLMachine LearningAlgorithmsData engineeringData scienceREST APIPandasData visualizationData modelingData analyticsA/B testing

Posted about 1 month ago