Apply now

Posted 20 days ago

Senior Data Scientist I - Growth & Engagement

@ Fetch

Remote in Canada

RemoteFull-time5+ years experience
Apply now
SIGNALS

Overview

Fetch is hiring a Senior Data Scientist focused on growth and engagement to improve user retention through product decisions. The role owns experiments, KPI frameworks, and predictive models for lifecycle interventions. It is full-time, can be done remotely in the United States or any Canadian province except Quebec, and requires 5+ years of applied analytics experience.

Responsibilities:

  • Design, execute, and interpret product experiments
  • Define KPI frameworks linking product goals to metrics
  • Build predictive models for lifecycle interventions
  • Analyze user retention drivers and segment effects
  • Communicate findings and recommend launch, iterate, or stop

Requirements summary:

  • 5+ years in data science or applied analytics
  • Owned experiment design end to end
  • Experience defining KPI frameworks
  • Strong SQL and Python proficiency
  • Experience with Snowflake, dbt, Airflow, or Spark

Tools & skills

Benefits mentioned

Health insuranceDentalVisionRetirement planParental leaveTuition support
Source and dates

Source type not verified · gem

Employer posting date
2026-10-21
First seen by our source
2026-10-21
Source record updated
2026-10-29

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Experience5+ years
Hours per week40 (estimated)
Travelair: none · ground: none
Work settingHome, Office
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
Perks mentionedGenerous paid time off, Flexible hours, Generous parental leave, Tuition support, Stock or equity

Summary and details written by AI from the posting; the employer’s posting is the authority.

Fetch

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Full company description

Fetch is the centralized community services platform behind modern apartment living. We unify the daily services that shape the resident experience (including package management, valet trash, storage, and market delivery) into one platform. By moving these operations offsite and managing them end to end, Fetch removes daily work from onsite teams while delivering a simpler, more reliable experience for residents. Today, Fetch supports nearly 400,000 apartment homes across more than 1,250+ communities in 25 major markets nationwide. Headquartered in Austin, Texas, Fetch has delivered over 50 million packages and saved tens of thousands of hours for onsite teams.

LinkedIn followers
13,216
People associated on LinkedIn
378
Reported office locations
  • 816 Congress Ave, Suite 1120, Austin, Texas 78701, US
Business categories
  • Logistics
  • Transportation
  • Delivery Service
  • Real Estate
  • Mobile
  • Shipping & Trucking
  • Transportation and logistics
Other recorded names
  • Fetch
  • Fetch Package
Specialties
  • Multifamily Package Management
  • Valet Trash
  • Market
  • Storage
  • and Mail Sorting
Profile identifies a recruitment agency
No
Reported total investment
172,520,000

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Fetch is the centralized community services platform behind modern apartment living. We unify the daily services that shape the resident experience (including package management, valet trash, storage, and market delivery) into one platform. By moving these operations offsite and managing them end to end, Fetch removes daily work from onsite teams while delivering a simpler, more reliable experience for residents…

FieldValue
IndustryFreight and Package Transportation
Company size201-500 employees
HeadquartersAustin, Texas
Organization typePrivately Held
Year founded2016
SpecialtiesMultifamily Package ManagementValet TrashMarketStorageand Mail Sorting
Open jobs on Jobsy11
LinkedInView page
Job description

What we’re building and why we’re building it.

Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users.

Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.

The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base.

It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.

At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.


Meet Fetch AI & Data

AI & Data at Fetch sit at the center of how we understand our business, make decisions, and build intelligent products. The organization operates as an integrated AI & data ecosystem, spanning multiple disciplines, including data engineering, analytics engineering, machine learning, experimentation, and data platforms, all working together to turn data into durable business and customer impact.

Teams operate in complex problem spaces where requirements evolve, tradeoffs are constant, and the right answer is rarely obvious. Success depends on strong technical judgment, comfort with ambiguity, and the ability to gather context and make informed decisions while balancing quality, performance, scalability, and responsible use.

Practitioners across this org contribute hands-on to production systems, analytical foundations, and intelligent features. You will collaborate closely with product, platform, and engineering partners, help shape standards and best practices, and ensure our AI and data capabilities scale reliably as Fetch grows.

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.

This is a full-time role that can be held from one of our US offices or remotely in the United States or any Canadian province (excluding Quebec), subject to appropriate work authorization. Canadian employment, if applicable, would be through Fetch’s Canadian Employer of Record.

Benefits for Canada-based employees may differ slightly to comply with applicable law(s) (e.g., paid time off, Holidays, etc.).

Role Responsibilities:

  • 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. Partner with Engineering to integrate predictive signals into treatment delivery, and use experiments to determine whether targeting improves retention, monthly active users, and revenue.
  • 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 build reliable, reusable analyses and modeling workflows

Minimum Requirements:

  • 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 inform lifecycle interventions
  • 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

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

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 [CA$162,331 - CA$190,978]. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.


At Fetch, we'll give you the tools to feel healthy, happy and secure through:

  • Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
  • 401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay.
  • 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, as well as our year-end week-long break. (Holidays will vary for Canada-based roles)
  • Robust Leave Policies: 14 weeks of fully paid parental leave for all employees, plus 6 additional weeks of paid childbirth recovery leave for birthing parents, 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, or you can work fully remotely from anywhere in the US for US-based roles. 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. (applicable for most roles)

Fetch is an equal 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 [email protected].

Similar jobs

  • Data Scientist (Aerospace)

    Mississauga, ON
    Full Time

    SOTICAN SOTI Inc.

    The Growth - Our environment fosters new ideas, fresh perspectives, and the ability to take them over the goal line; Experience You’ll Bring; 4–6 years of professional experience in data science, AI/ML, perception,…

    Data Scientist II

    Mississauga, ON
    Full Time

    SOTICAN SOTI Inc.

    5+ YOECandidates need a graduate degree in a quantitative field or equivalent industry experience, plus 5 or more years building machine learning solutions. They must have expert Python skills, production experience with NLP or predictive modeling, and experience taking models into production.

    Python, Microsoft Azure, AWS

  • Senior Data Scientist

    Toronto, ON

    Questrade Financial Group: Questrade offers Canadians an easy way to invest in securities and foreign currency and provides online wealth management and mortgage through the…

    3+ YOECandidates need 3+ years in data science or analytics, advanced Python and SQL skills, and experience with large customer and financial datasets. Strong communication, self-learning and coaching abilities are also needed.

    Python, SQL

  • Data Scientist, Economics & AI

    Ontario

    Bank of Canada

    4+ YOECandidates need a master's degree or higher in economics, statistics, mathematics or a related quantitative field, plus four years of applied modelling experience. Hands-on skill with Python, R or MATLAB and modern analytics platforms such as Azure or Databricks is required, along with clear communication skills.

    Python, R, MATLAB, Azure, Databricks

  • Senior Data Scientist, AWS Analytics Engineering

    Vancouver, BC
    Full Time

    Amazon Development Centre Canada ULC

    4+ YOECandidates need 5+ years of experience with SQL, Python, R, SAS or similar tools, and 4+ years as a data scientist. Experience with statistical models such as multinomial logistic regression is required, and experience with data visualization, data pipelines or leading a data science team is preferred.

    SQL, Python, R, SAS, Matlab, AWS QuickSight

  • Data Scientist, SAS-to-Python Migration

    Toronto, ON
    $65–$82/hrFull Time

    Finance Professionals

    5+ YOECandidates need 5 to 9 years of SAS and data migration experience, strong Python skills, and knowledge of IFRS9 modelling and credit risk. A bachelor's degree is required and a statistics-related master's is preferred.

    SAS, Python

    Data Scientist, SAS-to-Python Migration (Expert)

    Toronto, ON
    $80–$95/hrFull Time

    Finance Professionals

    10+ YOECandidates need 10+ years of SAS migration and data work, ideally in financial institutions, with expert SAS and Python skills. They must know IFRS9 modelling, credit risk analytics, data validation and clear technical documentation, and hold a bachelor's degree, with a master's in statistics preferred.

    SAS, Python

  • Data Scientist II

    Toronto, ON
    On-siteFull Time

    The Toronto-Dominion Bank (Canada)

    3+ YOECandidates need a technical degree, with a graduate degree preferred, and 3+ years of analytics or data science experience. They need strong Python, PySpark and SQL skills, experience with Tableau, Power BI or Databricks, and clear communication with executives.

    Python, PySpark, SQL, Tableau, Power BI, Databricks

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

Pro tip: add remote jobs to widen your search.

Exclude locations

Workplace type

Company jobs in these results

These are this company’s jobs loaded in your current search. The company may have more openings.