About this role
Data silos and ambiguous business metrics often obscure how user acquisition, engagement, and monetization actually drive growth at scale. TextNow needs a business-minded Data Scientist to turn messy, large-scale usage data into rigorous analyses, predictive models, and experiments that directly shape product and marketing decisions.
Working across product, engineering, finance, and trust and safety teams, the person in this role will own investigations end to end. Responsibilities include framing open-ended questions, uncovering trends behind user behavior, building forecasting models, and keeping the network safe from fraud. Candidates who succeed here combine strong technical chops in Python and SQL with sound judgment and the ability to translate complex statistical findings into actionable recommendations for leadership.
What you will do
- Translate ambiguous business challenges into structured data analyses with clear success criteria in partnership with cross-functional stakeholders.
- Examine large and complex datasets to uncover behavioral trends driving user growth, retention, engagement, and revenue.
- Develop and evaluate predictive models, segmentations, causal inference techniques, and forecasting methods.
- Design, analyze, and interpret A/B tests and quasi-experiments to inform strategic product and marketing moves.
- Establish meaningful metrics, KPIs, and dashboards that teams across the company rely on for performance tracking.
- Communicate complex technical findings clearly to both technical peers and senior leadership.
- Collaborate with data engineering to ensure reliable data pipelines, tracking, and reusable analytical tooling.
What you need
- Four or more years of professional experience working in data science, product analytics, business analytics, or a related quantitative discipline.
- Strong proficiency in Python and SQL for data manipulation, analysis, and modeling on large datasets.
- Solid grounding in statistics, experimentation methodologies such as A/B testing, and standard machine learning techniques.
- Demonstrated ability to structure ambiguous business problems and operate independently across multiple priorities.
- Excellent written and verbal communication skills for explaining technical concepts and building compelling visualizations.
- Prior experience utilizing BI or product analytics tools like Tableau, Looker, or Mixpanel.
- A formal 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 model
- Causal inference beyond A/B testing, forecasting, or optimization experience
- Familiarity with cloud data platforms such as Snowflake, AWS, GCP, or Databricks, alongside dbt tooling
- Exposure to fraud, abuse, or anomaly detection domains
- Hands-on use of AI tools to accelerate analysis or build data products
Benefits
- Free phone service
- Flexible work arrangements including remote or work-from-home options
- Employee stock options and annual performance-based bonus
- Unlimited vacation and 12 paid holidays per year
- Comprehensive health, dental, and vision benefits with short-term and long-term disability
- $750 annual wellness benefit or healthcare spending account with RRSP matching
Skills and tech stack
Questions candidates ask
What is the remote work policy for this position?
TextNow offers flexible work arrangements including work-from-home, remote options, or access to one of their office spaces. Employees also travel a few times a year for various team events and company-wide off-sites.
What is the salary range for this role?
The expected base salary range for Canadian intermediate candidates is CAD $113,400 to $162,000 annually. Final compensation is determined based on factors including skills, experience, and location.
What kind of total rewards and benefits are provided?
The total rewards package includes a comprehensive benefits program, an annual performance-based bonus, and equity opportunities. Additional perks feature unlimited vacation, health and dental coverage, an annual wellness benefit, and RRSP matching.
What tools and technologies will I be using?
The role requires strong Python and SQL skills for data manipulation, analysis, and modeling on large datasets. Experience with BI or product analytics tools like Tableau, Looker, or Mixpanel is also expected.