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À propos
What We’re Building and Why Every month, millions of people use Fetch’s Rewards App to earn points for buying brands they love. To date, we’ve delivered more than $1 billion in rewards and earned more than 5 million five‑star reviews from users. Fetch is backed by investors like SoftBank and partners with both challenger and Fortune 500 brands. We’re reshaping how brands and consumers connect, using data and AI to drive smarter, faster work and create lifelong consumers.
Meet Fetch Engineering Our engineering philosophy emphasizes innovation, adaptability, and informed decision‑making. We demand proactive problem‑solving, high technical standards, and a culture rooted in trust, accountability, and innovation.
About the Role Fetch is at a major inflection point in leveraging data to drive business growth. We are looking for a Senior Data Scientist to architect and operationalize production‑ready models that power our product strategy, personalization systems, and business outcomes. You’ll partner across Product, Engineering, Marketing, and Data Product to turn complex datasets into measurable impact through experimentation, predictive modeling, and data‑driven decisions.
What You’ll Do At Fetch Advanced Analytics & Modeling
Design, build, and deploy predictive and causal models that power personalization, retention, and monetization strategies.
Apply advanced statistical methods, including Bayesian inference, causal impact analysis, and hierarchical modeling, to guide decision‑making.
Develop and operationalize experimentation and measurement frameworks that ensure accurate attribution and reproducibility across Fetch’s products.
Business Impact & Experimentation
Quantify the impact of key business and product initiatives, translating complex model outputs into actionable insights.
Design and analyze experiments that test hypotheses about user behavior, product features, and marketing initiatives.
Establish metrics and analytical frameworks that measure Fetch’s progress toward strategic growth and retention goals.
Collaboration & Influence
Partner closely with Product, Engineering, and Data Product teams to transform insights into scalable data products and intelligent systems.
Communicate complex analyses through clear narratives and visualizations that drive executive understanding and action.
Mentor and collaborate with peers to strengthen Fetch’s scientific rigor, data culture, and analytical storytelling capabilities.
Technical Excellence
Leverage tools and technologies such as Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to build and scale robust data science solutions.
Champion best practices in experimentation, model validation, reproducibility, and governance.
Advance Fetch’s use of AI/ML tools for automation, documentation, and anomaly detection, emphasizing validation and responsible use.
Minimum Requirements
5+ years of experience in data science, machine learning, or applied analytics with proven impact in product‑driven environments.
Deep expertise in statistical modeling, experimental design, and causal inference.
Strong proficiency in SQL and at least one programming language (Python preferred).
Experience working with large‑scale data systems such as Snowflake, dbt, Airflow, or Spark.
Proven ability to communicate complex technical insights to non‑technical stakeholders and drive strategic decision‑making.
Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
Preferred Requirements
Advanced degree (Master’s or Ph.D.) in a quantitative discipline.
Experience deploying ML models into production and managing model lifecycle and performance.
Background in consumer technology, ad tech, or personalization systems.
Experience building frameworks that improve experimentation velocity and decision quality.
Familiarity with privacy‑preserving data modeling and compliance standards such as GDPR or CCPA.
Mentorship experience or demonstrated leadership in scientific or analytical development.
This is a full‑time role that can be held from one of our U.S. offices or remotely within the United States.
At Fetch, we’ll give you the tools to feel healthy, happy, and secure
Equity: We offer employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
401(k) 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 $10,000 per year in education reimbursement.
Employee Resource Groups: Participation in ERGs that promote diversity, inclusion, and advocacy, supported by our Inclusion Council.
Paid Time Off: Flexible PTO plus 9 paid holidays (including Juneteenth and Indigenous People’s Day) and a 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: One‑time $2,000 incentive for employees welcoming new family members to help cover childcare, clothing, diapers and more.
Flexible Work Environment: Work remotely from anywhere in the U.S. or in one of our offices in Madison, Birmingham, or Chicago, fully equipped with the necessary hardware and software.
Fetch is an equal employment opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential.
Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at accommodations@fetch.com.
Learn more: Fetch Recruitment Scam Warning.
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Compétences linguistiques
- English
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