This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist in Canada / United States.
This role offers an exciting opportunity for a skilled data scientist to work in a fast-paced, mission-driven environment where your insights directly influence business strategy and product development. You will be embedded within cross-functional teams, collaborating closely with product managers, engineers, and designers to analyze data, build predictive models, and develop actionable insights. The position emphasizes both independent ownership and teamwork, with opportunities to design experiments, optimize data pipelines, and translate complex datasets into clear recommendations. You will work with advanced tools and technologies, applying statistical analysis and machine learning to real-world business challenges. This role is ideal for a proactive problem-solver eager to grow as a subject matter expert in analytics and data science.
Accountabilities
- Apply statistical and machine learning techniques to analyze data, uncover trends, and build predictive models
- Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and actionable business insights
- Access, clean, and transform large datasets for modeling and analysis
- Collaborate with product, engineering, and business teams to translate challenges into data science solutions
- Design and execute experiments such as A/B tests to measure impact and inform strategic decisions
- Develop, prototype, and validate machine learning models, ensuring reproducibility and proper evaluation
- Create visualizations and reports to communicate findings to stakeholders clearly and effectively
Support data quality initiatives, feature engineering, and ongoing model monitoring
Requirements
- 2+ years of experience in data science or analytical roles
- Strong programming skills and working knowledge of Python and libraries such as pandas, numpy, sklearn, and TensorFlow
- Intermediate SQL skills with the ability to create and transform datasets; experience with DBT is a plus
- Experience with web analytics tools (e.g., GA4, Amplitude, Mixpanel)
- Ability to communicate insights clearly and collaborate across teams, explaining methodology and reasoning
- Experience with machine learning techniques, model evaluation, and data visualization
- Proactive and autonomous in identifying business challenges and developing data-driven solutions
Benefits
- Competitive salary, equity options, and comprehensive benefits from day one
- Remote-first flexibility: work from anywhere and set hours that suit you
- Unlimited PTO, company-wide recharge days, and annual team offsites
- Weekly meal credits and travel discounts for everyday perks
- Family-friendly support, including generous parental leave and flexible return-to-work plans
- Wellness budgets, personal development funds, and team learning resources
- Collaborative and dynamic work environment with opportunities for career growth
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job's core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
