Data Scientist, Product Analytics

Duties: Leverage data to enhance product development, user experience, and business strategy at Citizen. As a member ofa cross-functional Data Team, work in collaboration with Product and Engineering teams to improve Citizen’s data testingand reporting capabilities. Apply knowledge and expertise in business analytics to inform and evaluate new features andexperiences. Utilize statistical tests and analytics to support all A/B testing on the consumer side, as well as quantify theefficacy of product features and changes to our underlying algorithms. Translate data insights into meaningful andactionable recommendations to business leads across the organization and help build Tableau dashboards forvisualizations. Own the database tables and reporting assets within product vertical and contribute to shared data teaminfrastructure. Gather and clean data from various sources such as user interactions, transactions, and behavioral patternsby applying statistical methods and machine learning techniques to analyze large datasets to identify trends, correlations,and anomalies. Work closely with product managers and developers to understand user needs and behaviors, using datainsights to optimize product features, user interfaces, and overall user experience to drive engagement and retention. Workclosely with cross-functional teams such as engineering, marketing, and sales to integrate data insights into overallbusiness strategies by providing data-driven guidance for product roadmap prioritization and feature development. Focuson scaling Citizen through expanding coverage and smart notification distribution by developing predictive models toanticipate user behavior, product demand, and market trends. Embed as a thought partner within product verticals andhelp report, experiment and participate in longer-form analyses that generate insights and guide product and companystrategy.Minimum requirements: Must possess a Bachelor’s degree in business analytics, statistics, mathematics or a relatedquantitative field plus two (2) years of experience as a data scientist or a closely related occupation. Prior work experiencemust include: hypothesis driven analysis using relational database querying (SQL), programming transcripts (Python) andbusiness intelligence tools to pull, aggregate and generate data and business insights; using statistical methods includinghypothesis testing (AB test, experimentation), statistics regression, and descriptive statistics to validate businesshypothesis and drive product and business strategies; using Business Intelligence Reporting to measure and trackproduct health; using programming script languages including Python to load, transform, and analyze data; consumer app monetization strategy including subscription, in-app microtransactions, and third-party ads; supporting financialforecast and reporting by leveraging product data to build predictive models, track revenue trends, and provide insights forgoaling and strategic planning; collaborating cross-functionally with engineering teams to define data trackingrequirements, ensure data quality and reliability, and integrate data pipelines for product analytics and experimentation;experience in subscription product development and microtransaction products. May work 100% remotely. Salary range is$155,000 to $163,000/yr.; full-time; Qualified Applicants must send resumes to [email protected] ref:DSPA/YW. Direct applicants only. This position is eligible for incentives pursuant to Citizen’s Employee ReferralProgram.Compensation & BenefitsWe offer competitive salary, equity, and a full benefits package, including:100% employer-paid medical, dental, and vision for employeesUnlimited PTOUp to 14 weeks paid parental leave (for all parents)Monthly tech stipendFree mental health supportHybrid work environment + catered lunches (NYC HQ)Diversity, Equity & Inclusion at CitizenCitizen is an equal opportunity employer. We’re building a team that reflects the diversity of the communities we serve — across race, gender identity, sexual orientation, age, ability, and background.We know that diverse teams make better decisions and build more effective products. If you don’t meet every listed qualification, we still encourage you to apply. Skills, potential, and lived experience matter.Originally posted on Himalayas

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