TextNow, Inc.

TextNow, Inc.

Data Scientist

Waterloo, ON · Mid

Sponsorship not specified$113k-$162kDetected 28 days ago
PythonSQLSnowflakeDatabricksAWSGCPMachine LearningdbtData EngineeringData ScienceData VisualizationStatisticsA/B TestingForecastingCommunicationProblem Solving

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$63,0451 entry
Level II$79,1442 entries
Level III$95,2433 entries
Level IV$111,3424 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Waterloo-Cedar Falls, IA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

  • We're looking for a business-minded Data Scientist who pairs strong technical skills with sound judgment about which problems are worth solving.
  • improving monetization across ads and subscriptions
  • The problems are real and the data is large:

Responsibilities

  • Find what drives the business. Dig into large, complex datasets to uncover the trends, segments, and behaviors behind user growth, engagement, retention, and revenue.
  • Run and read experiments. Design, analyze, and interpret A/B tests and quasi-experiments that inform product and marketing decisions.
  • Define how we measure success. Create meaningful metrics, KPIs, and dashboards that teams rely on to track performance and make trade-offs.
  • Raise the bar. Partner with data engineering on reliable data and tracking, build reusable analyses and tools, and help spread analytical best practices across the company.
  • Excellent written and verbal communication, including explaining technical concepts to non-technical partners and building compelling visualizations and presentations.
  • We treat this company like it's our own... because it is!
  • Build models that get used.

Requirements

  • 4+ years of experience in data science, product or business analytics, or a related quantitative role, with a track record of analyses and models that changed decisions.
  • Experience with BI or product analytics tools (e.g., Tableau, Looker, Mixpanel, or similar).
  • A degree in statistics, economics, mathematics, computer science, engineering, or another quantitative field - or equivalent practical experience.

Nice to have

  • Experience with a consumer mobile app, subscription, or ad-supported business.
  • Causal inference beyond A/B testing (e.g., difference-in-differences, synthetic control, uplift modelling), forecasting, or optimization.
  • Experience with Snowflake or another cloud data platform (AWS, GCP, Databricks), and with dbt or similar tooling.
  • Exposure to fraud, abuse, or anomaly detection.
  • A graduate degree in a quantitative field.
  • Experience comes in many forms - skills are transferable, and passion goes a long way.
  • We know that diversity makes for the best problem-solving and creative thinking, which is why we're dedicated to adding new perspectives to the team.
  • If this role excites you but you don't meet every point above, we'd still love to hear from you.

Compensation

  • CAD $113,400 - $162,000 annually
  • Our total rewards package goes beyond base salary.
  • We offer a comprehensive benefits program, an annual performance-based bonus, and equity opportunities that ensure you share in the success you help create.
  • We know that exceptional talent doesn't always fit neatly into a range, so if you're passionate about our mission and think you can make a difference, we encourage you to apply, even if your compensation expectations are outside the listed range.
  • Final compensation will be determined based on a variety of factors, including your skills, experience, and location.
  • 12 paid holidays per year

Benefits

  • Develop and apply statistical and machine learning methods - predictive models, segmentation, forecasting, causal inference - and evaluate them honestly, including their assumptions and limitations.
  • A solid foundation in statistics, experimentation (A/B testing), and common machine learning techniques - and the judgment to choose the simplest approach that answers the question.
  • Our benefits and more
  • This is a brief overview of the benefits that TextNow offers its employees.
  • More complete details can be found in TextNow's Benefit Guide and legal plan documents, which are available to employees on or shortly after their start date with TextNow.
  • The benefits listed herein are for illustrative purposes only and may change from time-to-time in TextNow's sole discretion.
  • Employee stock options
  • Unlimited vacation
  • Flexible work arrangements (work-from-home, remote, or access to one of our office spaces)

Company info

  • We believe communication belongs to everyone.
  • We exist to democratize phone service.
  • TextNow is evolving the way the world connects, and that's because we're made up of people with curious minds who bring an optimistic yet critical lens into the work we do.
  • We're the largest provider of free phone service in the nation.
  • And we're just getting started.
  • Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere.
  • Frame the right questions. Work with stakeholders to understand business challenges, spot where data can make a difference, and translate open-ended questions into structured analyses with clear success criteria.

Equal opportunity

  • We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic.
  • Applicants who require reasonable accommodation during the hiring process may contact our Talent Team.
  • AI usage: We use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact our Talent Team.
  • TextNow Candidate Policy
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This listing is sourced directly from TextNow, Inc.'s careers page and normalized into a canonical job model.