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Data Scientist

Role overview

Qualifications

  • 4+ years of experience in data science, product or business analytics
  • Strong Python and SQL skills for data manipulation, analysis, and modelling
  • A solid foundation in statistics, experimentation, and common machine learning techniques
  • A degree in statistics, economics, mathematics, computer science, or equivalent practical experience

Responsibilities

  • Frame the right questions and understand business challenges
  • Dig into large datasets to uncover trends and behaviors behind user growth
  • Develop and apply statistical and machine learning methods
  • Design, analyze, and interpret A/B tests and quasi-experiments

Key facts

Hard skills

Other skills

  • Forecasting
  • Communication
  • Problem Solving
  • Teamwork

About the company

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TextNow

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Company details

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Job description

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.   

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. You’ll partner with product, marketing, finance, engineering, and trust & safety to turn ambiguous questions into rigorous analyses, models, and experiments — and then turn the results into decisions.

The problems are real and the data is large: understanding what drives user acquisition, engagement, and retention; improving monetization across ads and subscriptions; measuring the impact of product changes; and helping keep our network safe from fraud and abuse. You’ll own work end to end, from framing the question to landing the recommendation with leadership.

What you’ll do

  • 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.
  • Find what drives the business. Dig into large, complex datasets to uncover the trends, segments, and behaviors behind user growth, engagement, retention, and revenue.
  • Build models that get used. Develop and apply statistical and machine learning methods — predictive models, segmentation, forecasting, causal inference — and evaluate them honestly, including their assumptions and limitations.
  • 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.
  • Tell the story. Turn complex findings into clear, actionable recommendations for technical and non-technical audiences, including senior leadership.
  • 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.

What we’d like to see

  • 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.
  • Strong Python and SQL skills for data manipulation, analysis, and modelling on large datasets.
  • 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.
  • Ability to structure ambiguous business problems and work independently across multiple priorities in a fast-paced environment.
  • Excellent written and verbal communication, including explaining technical concepts to non-technical partners and building compelling visualizations and presentations.
  • 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.
  • Hands-on use of AI to accelerate analysis or build data products.
  • 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.

  The expected base salary range for this role is:    Canada Intermediate:  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.   Our goal is to offer a competitive package that reflects the impact and expertise you bring to the team.   This posting is for a current, active vacancy.   More about TextNow    Our culture  We’re proud of the culture that we’ve built at TextNow, but one of the most common questions we hear is ‘how do you continue to sustain it as the world and the company continues to change?’ The reality is that we’re only able to keep up because each and every TextNovian contributes to our culture through being involved, by living our values, sharing feedback, embracing change and more!       Our values  Customer Obsessed  We strive to have a deep understanding of our customers.    Do Right By Our People  We treat each other with fairness, respect, and integrity.    Accept the Challenge  We adopt a "Yes, We Can" mindset to achieve ambitious goals.    Act Like an Owner  We treat this company like it's our own... because it is!    Give a Damn  We are deeply committed and passionate about our work and achieving results.      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.    Free phone service  Strong work life blend   Flexible work arrangements (work-from-home, remote, or access to one of our office spaces)  Employee stock options   Unlimited vacation   12 paid holidays per year  Competitive pay  Health, dental, and vision benefits  Short-term & long-term disability  $750 annual wellness benefit or healthcare spending account  RRSP matching (Canada) | 401(K) (USA)   Parental leave for eligible employees  Learning & Development opportunities We travel a few times a year for various team events, company-wide off-sites, and more  More information about our total rewards package will be available during the hiring process.    Dogfooding & Customer Obsession  At TextNow, every employee gets to actively use our app for calling and texting. Dogfooding helps us experience what customers do, to spot issues early, and drive better design, developer, and user experiences.    Diversity and Inclusion  Our aim is to make every person who joins TextNow feel like they belong, that they’re valued, and that they’re able to be their authentic selves at work.   We’re all accountable for creating an inclusive culture and a sense of belonging for one another. By doing this together, we’ll make TextNow better for everyone.     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  By submitting an application to TextNow, you agree to the collection, use, and disclosure of your personal information in accordance with the TextNow Candidate Policy   

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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