Data Scientist, Product Analytics

Duties: Leverage data to enhance product development, user experience, and business strategy at Citizen. As a member of

a cross-functional Data Team, work in collaboration with Product and Engineering teams to improve Citizen’s data testing

and reporting capabilities. Apply knowledge and expertise in business analytics to inform and evaluate new features and

experiences. Utilize statistical tests and analytics to support all A/B testing on the consumer side, as well as quantify the

efficacy of product features and changes to our underlying algorithms. Translate data insights into meaningful and

actionable recommendations to business leads across the organization and help build Tableau dashboards for

visualizations. Own the database tables and reporting assets within product vertical and contribute to shared data team

infrastructure. Gather and clean data from various sources such as user interactions, transactions, and behavioral patterns

by 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 data

insights to optimize product features, user interfaces, and overall user experience to drive engagement and retention. Work

closely with cross-functional teams such as engineering, marketing, and sales to integrate data insights into overall

business strategies by providing data-driven guidance for product roadmap prioritization and feature development. Focus

on scaling Citizen through expanding coverage and smart notification distribution by developing predictive models to

anticipate user behavior, product demand, and market trends. Embed as a thought partner within product verticals and

help report, experiment and participate in longer-form analyses that generate insights and guide product and company

strategy.

Minimum requirements: Must possess a Bachelor’s degree in business analytics, statistics, mathematics or a related

quantitative field plus two (2) years of experience as a data scientist or a closely related occupation. Prior work experience

must include: hypothesis driven analysis using relational database querying (SQL), programming transcripts (Python) and

business intelligence tools to pull, aggregate and generate data and business insights; using statistical methods including

hypothesis testing (AB test, experimentation), statistics regression, and descriptive statistics to validate business

hypothesis and drive product and business strategies; using Business Intelligence Reporting to measure and track

product 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 financial

forecast and reporting by leveraging product data to build predictive models, track revenue trends, and provide insights for

goaling and strategic planning; collaborating cross-functionally with engineering teams to define data tracking

requirements, 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 Referral

Program.

Compensation & Benefits We offer competitive salary, equity, and a full benefits package, including:

• 100% employer-paid medical, dental, and vision for employees

• Unlimited PTO

• Up to 14 weeks paid parental leave (for all parents)

• Monthly tech stipend

• Free mental health support

• Hybrid work environment + catered lunches (NYC HQ)

Diversity, Equity & Inclusion at Citizen Citizen 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