Data Scientist
Fetch Rewards
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Analyze large, complex datasets to uncover insights into user behavior, product performance, and growth opportunities.
- Build and evaluate predictive models (e.g., engagement, conversion, retention) to support product and marketing initiatives.
- Apply statistical techniques and experimentation methods to answer product and business questions with rigor.
- Partner with senior data scientists to iterate on modeling approaches and analytical methodologies.
- Design, analyze, and interpret A/B tests and experiments, including hypothesis formulation, metric definition, and result interpretation.
- Quantify the impact of product features, experiments, and marketing initiatives, translating findings into clear recommendations.
- Develop and maintain metrics that track product health, user engagement, and growth performance.
- Support measurement strategies for new product launches and feature iterations.
- Partner closely with Product Managers, Engineers, and Marketing stakeholders to align analytics with business goals.
- Communicate analytical findings through clear narratives, visualizations, and documentation.
- Contribute to a strong data culture by sharing insights, methodologies, and best practices across the team.
- Learn from and collaborate with senior team members through code reviews, analysis feedback, and mentorship.
- Write high-quality SQL and Python to analyze data and build scalable analytical solutions.
- Work with data platforms and tools such as Snowflake, dbt, Airflow, Spark, and AWS to access and model data.
- Ensure analytical accuracy, reproducibility, and documentation in all work.
- Follow best practices in data validation, experimentation hygiene, and version control.
Requirements
- 3+ years of experience in data science, analytics, or a related quantitative role. Strong foundation in statistics, experimentation, and data analysis.
- Proficiency in SQL and experience using Python for analysis or modeling.
- Experience working with large datasets in modern data warehouses (e.g., Snowflake or similar).
- Ability to clearly communicate analytical insights to both technical and non-technical stakeholders.
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
- Experience supporting A/B testing or experimentation platforms.
- Exposure to predictive modeling or machine learning techniques.
- Familiarity with dbt, Airflow, Spark, or cloud platforms such as AWS.
- Experience working in product-driven or consumer-facing technology environments.
- Interest in developing toward advanced modeling, causal inference, and production-level data science.
Benefits
- Equity: We offer employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
- 401k Match: Dollar-for-dollar match up to 4%.
- Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
- Continuing Education: Fetch provides ten thousand per year in education reimbursement.
- Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
- Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, including Juneteenth and Indigenous People’s Day, as well as our year-end week-long break.
- Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
- Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
- Flexible Work Environment: Collaborate with your team in one of our stunning offices in Madison, Birmingham, or Chicago. Or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysispredictive modelingstatistical techniquesA/B testingSQLPythondata validationexperimentation methodsmachine learningmetrics development
Soft skills
communicationcollaborationanalytical thinkingproblem-solvingmentorshipnarrative developmentstakeholder alignmentinsight sharingadaptabilityattention to detail
Certifications
Bachelor’s degree in StatisticsBachelor’s degree in MathematicsBachelor’s degree in Computer ScienceBachelor’s degree in Engineering