Senior Data Scientist I, Growth & Engagement

Responsibilities

You will design and execute product experiments to drive user retention and engagement while developing predictive models for lifecycle interventions. You will also partner with cross-functional teams to define KPI frameworks and translate analytical findings into actionable product recommendations.

Requirements

The role requires at least 5 years of experience in data science or machine learning with a strong background in experiment design and causal inference. Proficiency in SQL, Python, and large-scale data systems like Snowflake or Spark is essential, along with a bachelor's degree in a quantitative field.

Skills

• Data science
• Machine learning
• Product analytics
• Experiment design
• SQL
• Python
• Snowflake
• Dbt
• Airflow
• Spark
• AWS
• Causal inference
• Predictive modeling
• KPI framework definition
• User behavior analysis
• Statistical analysis

Benefits

• Base salary
• Equity
• Benefits

About this role

About the Role:

As a Senior Data Scientist focused on growth and engagement, you'll help Fetch
understand user behavior and use data to shape product decisions that improve
retention and engagement.
You'll partner with Product, Engineering, and Design to set clear KPIs, success
criteria, and guardrails that your team actually uses to make decisions. You'll
independently design credible experiments and deliver clear launch, iterate, or
stop recommendations.

You'll also develop predictive models that serve as the intelligence layer for
our lifecycle intervention systems, from anticipating user behavior to deeper
insight into product experiments. These signals help the product team tailor
interventions to the right users and drive user and revenue outcomes.

Beyond whether a change worked, you'll find out who benefits and whether gains
persist past novelty, and use that to shape targeting and product priorities.
This is an independent, hands-on role: you'll own questions from framing to
recommendation, build reusable analyses, and become a trusted voice in your
product area's decisions.

What you’ll do at Fetch: 

* Independently design, execute, and interpret product experiments for feature
development, owning power analysis, primary metrics, and guardrails
* Frame causal questions by defining the population, outcomes, and time horizon
needed to show whether a product change caused improvement
* Define KPI frameworks for teams to optimize around, linking product
objectives to primary, secondary, and guardrail metrics with clear
definitions and success criteria
* Recommend launch, iterate, or stop based on effect size, uncertainty, user
value, and business impact
* Balance speed and rigor, and identify when more evidence could change a
decision
* Turn ambiguous product questions into structured, credible analysis
* Connect metric movements to behavioral drivers and check alternative
explanations
* Use product analytics to understand the user journeys and behaviors most
impactful on retention and downstream outcomes, and use those insights to
inform product development
* Evaluate how effects differ across user segments without overinterpreting
noisy subgroup results
* Separate novelty and short-term gains from persistent, long-term value
* Develop predictive models that act as the intelligence layer for our
lifecycle intervention systems
* Use audience segments and predictive signals to help the product team tailor
treatment delivery to drive monthly active users and revenue, and validate
that targeted treatments actually improve outcomes
* Build clear narratives that translate findings into product action,
influencing priorities and launch decisions as the trusted analytical owner
for your workstream
* Produce reusable analyses and share analytical knowledge across the team
* Leverage tools and technologies such as Python, SQL, Snowflake, dbt, Airflow,
Spark, and AWS to conduct and scale analytical work

Minimum Qualifications:

* 5+ years of experience in data science, machine learning, or applied
analytics, with demonstrated ownership of complex analytical problems in
product-driven environments
* Experience owning experiment design end to end, including power analysis,
primary metrics, and guardrails
* Track record of using experiment results to recommend launching, iterating,
or stopping
* Ability to frame causal questions and distinguish prediction from causal
impact
* Experience defining KPI frameworks for a product workstream
* Track record of influencing launch or roadmap decisions, with quantified
impact on adoption, retention, engagement, revenue, or efficiency and clear
personal ownership
* Experience identifying retention drivers and evaluating which users benefited
and whether gains persisted
* Experience applying predictive models to segment users or forecast outcomes
* Strong proficiency in SQL and at least one programming language, preferably
Python
* Experience working with large-scale data systems such as Snowflake, dbt,
Airflow, or Spark
* Ability to communicate assumptions and uncertainty clearly
* Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering,
or a related quantitative field.

Preferred Requirements:

* Product analytics experience in a consumer app or digital product, across
activation, engagement, retention, or monetization
* Experience evaluating incentives, lifecycle interventions, or personalization
* Experience validating whether targeted treatments improve outcomes
* Track record of sharing reusable analyses and knowledge with your team

This is a full-time role that can be held from one of our US offices or remotely
in the United States.

COMPENSATION:

At Fetch, we offer competitive compensation packages including base, equity, and
benefits to the exceptional folks we hire. The base salary range for this
position is $159,945 - $188,171. Discover our benefits and how our employees
live rewarded at https://fetch.com/careers [https://fetch.com/careers].

About Fetch

Technology, Information and Internet · 501-1,000 employees · headquartered in Hybrid-remote workplace · founded 2013