Apply now

Posted 17 days ago

Staff Data Scientist - Rewarded Apps

@ Fetch

Remote in Canada

RemoteFull-time8+ years experience
Apply now
SIGNALS

Overview

Fetch is hiring a Staff Data Scientist to lead analytics and data science for its Play business and wider Rewarded Apps portfolio. The role sets analytical direction, builds predictive and causal models, and mentors analysts, reporting to the Senior Director of User Analytics & Insights. It is full-time, remote or from a US office, with Canadian employment possible through an Employer of Record (not Quebec).

Responsibilities:

  • Set analytical and scientific strategy for Play
  • Lead advanced analytics and modelling initiatives
  • Build predictive and machine learning models
  • Shape experimentation and measurement strategy
  • Mentor analysts and data scientists

Requirements summary:

  • 8+ years in data science or analytics
  • Advanced Python and SQL
  • Machine learning model deployment experience
  • Strong statistics and causal inference background
  • Ability to influence senior stakeholders

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
DepartmentData & analytics
Experience8+ years
Hours per week40 (estimated)
Work settingHome, Office
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
Perks mentionedRetirement plan, 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:

Fetch is looking for a Staff Data Scientist to serve as the senior analytical and scientific leader for our Play business and broader Rewarded Apps portfolio. Reporting to the Senior Director of User Analytics & Insights, you’ll partner with General Managers and leaders across Product, Marketing, Engineering, and other functions to shape how data, experimentation, and advanced analytics inform the future of Play.

This is a strategic, hands-on individual contributor role. You’ll set the analytical direction for Play, identify the highest-value questions for the business, and lead complex analyses and modeling initiatives that influence product strategy, monetization, engagement, and long-term growth. While this role has no direct reports, you’ll mentor analysts and data scientists, establish best practices, and raise the bar for analytical rigor across the organization.

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:

  • Set the analytical and scientific strategy for Play, identifying high-impact opportunities across revenue, margin, engagement, retention, user experience, and advertiser performance.
  • Serve as a senior thought partner to business, Product, Marketing, and Engineering leaders, proactively defining the questions analytics should answer.
  • Translate ambiguous business and product challenges into structured analytical approaches that clearly communicate trade-offs, uncertainty, and expected impact.
  • Develop a deep understanding of the Play P&L and connect user behavior and product performance to revenue, margin, and marketplace outcomes.
  • Lead advanced analytics and data science initiatives across engagement, retention, monetization, personalization, segmentation, and marketplace dynamics.
  • Build predictive and machine learning models that identify behavioral patterns, forecast outcomes, prioritize opportunities, and inform product and business strategy.
  • Shape Play’s experimentation and measurement strategy, applying A/B testing, causal inference, quasi-experimental methods, and observational analysis as appropriate.
  • Develop scalable analytical assets, feature pipelines, modeling frameworks, and trusted measurement systems using Python and SQL.
  • Partner with Product and Engineering to operationalize models, scoring frameworks, and analytical outputs that improve the user experience and business performance.
  • Translate complex findings into clear recommendations for senior and executive audiences, framed around customer outcomes, financial impact, strategic risk, and opportunity cost.
  • Mentor analysts and data scientists, review high-impact analyses, and establish best practices for modeling, experimentation, documentation, reusable code, and data storytelling.

Minimum Requirements:

  • 8+ years of experience in data science, analytics, quantitative strategy, or a related field, including ownership of complex product or business domains.
  • Advanced proficiency in Python and SQL, with experience building reusable analytical and modeling workflows.
  • Experience developing, evaluating, and operationalizing machine learning and predictive models, including feature engineering and translating model outputs into business decisions.
  • Strong foundation in statistics, experimental design, power analysis, metric selection, segmentation, and causal inference.
  • Experience applying causal inference techniques such as difference-in-differences, matching, synthetic controls, or related methodologies.
  • Experience developing models related to personalization, propensity, recommendations, forecasting, retention, or lifetime value.
  • Demonstrated ability to independently structure and solve ambiguous, high-impact problems while balancing analytical rigor with business urgency.
  • A track record of using analytics to drive measurable improvements in areas such as revenue, engagement, retention, product performance, or operational efficiency.
  • Proven ability to influence senior stakeholders across Product, Engineering, Marketing, and business teams without direct authority.
  • Experience mentoring analysts or data scientists and improving the quality of work across a broader team.
  • Exceptional communication and data storytelling skills, including the ability to explain sophisticated analytical concepts to non-technical audiences.

Preferred Requirements:

  • Experience in consumer technology, gaming, marketplaces, rewards, loyalty, or another high-frequency digital product.
  • Experience with modern analytics engineering tools and practices, including dbt, Git/GitHub, Spark, or similar technologies.
  • Experience working with businesses where user engagement, monetization, incentives, and marketplace economics are closely connected.
  • Experience combining advanced analytics with both product and commercial strategy.

Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. 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

  • Staff Data Scientist - Credit and Lending ML

    Remote in Canada
    Remote

    Mercury

    7+ YOEMercury needs 7+ years building ML models that drove automated decisions, strong production Python and SQL, and depth in time series, anomaly detection, NLP, deep learning and LLMs. Candidates also need a quantitative degree or equivalent and the ability to explain models to credit, validation, product and engineering audiences.

    Python, SQL, data warehouse

  • Staff Data Scientist

    Toronto, ON
    Temporary

    Bank of Montreal

    5+ YOECandidates need deep machine learning and deep learning skills, experience running ML systems in production, and strong advanced Python and software engineering skills. Git and GitHub experience and strong communication are also required.

    Python, PySpark, AWS, SageMaker Unified Studio, Git, GitHub

    Staff Data Scientist

    Toronto, ON
    Full Time

    Bank of Montreal

    5+ YOECandidates need deep machine learning and deep learning skills, experience running ML systems in production, and strong advanced Python and software engineering fundamentals. Git and GitHub experience and strong communication skills are required.

    Python, Git, GitHub, AWS, SageMaker Unified Studio, PySpark

  • Staff Data Scientist - Data Products

    Remote in Canada
    RemoteFull Time

    Fetch

    8+ YOECandidates need 8+ years in data science or applied statistics, including 3+ years building advertising platform products. They must have strong causal inference skills, experience with predictive and ranking systems, and tools like Python, SQL, Snowflake and dbt.

    Python, SQL, Snowflake, dbt

    Staff Data Scientist - Platform

    Remote in Canada
    RemoteFull Time

    Fetch

    8+ YOECandidates need 8+ years in data science, economics, statistics or applied research, at Staff or Principal scope. They need deep causal inference and experimentation expertise, experience owning company-level metrics, and strong communication with senior audiences. A bachelor's degree in a quantitative field is required.

    Python, SQL, Snowflake, dbt

  • Staff Data Scientist, Lead Generation

    Mississauga, ON +6
    Remote

    Launch Potato

    5+ YOECandidates need 5+ years of applied data science with measurable business impact, including models that drove paid media decisions such as spend, bidding or ad serving. Expert Python and SQL, and experience with late labels, sparse data and drift, are required.

    Python, SQL, AWS, SageMaker, Athena, S3

  • Staff/Senior Data Scientist - GenAI

    Vancouver, BC
    $135k–$220k/yrHybridFull Time

    Cover Genius

    8+ YOECandidates need 8+ years in data science or machine learning, including 2 to 3 years shipping LLM-based or agentic systems to production. They need deep LLM evaluation skills, strong Python, and experience influencing technical direction beyond their own team.

    Python, AWS Bedrock, Temporal

  • Staff Data Scientist

    Toronto, ON
    On-siteFull Time

    Index Exchange

    7+ YOECandidates need 7+ years of applied data science or machine learning experience at internet scale, with strong statistical skills in classification, prediction and time series models. They need expert Python skills (pandas, NumPy, scikit-learn) and a bachelor's or master's in a quantitative field.

    Python, pandas, NumPy, Scala

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.