Remote Data Scientist – For Professionals in North America – Build AI‑Driven Solutions That Transform Millions of Users

Join our fully remote Data Scientist team to drive predictive analytics, machine learning pipelines, and data strategy for a fast‑growing SaaS platform. Shape product decisions with cutting‑edge AI while enjoying flexible schedules, competitive compensation, and a collaborative virtual workspace.

About the Role

As a Remote Data Scientist, you will be a core member of a distributed analytics squad that turns complex data into actionable insights. You’ll design, develop, and deploy machine‑learning models that power recommendation engines, fraud detection, and customer churn prediction. This role requires strong statistical acumen, programming expertise, and the ability to translate business questions into robust data solutions—all from the comfort of your home office.

Key Responsibilities

• Build and maintain end‑to‑end ML pipelines using Python, TensorFlow, and PyTorch.
• Analyze large‑scale datasets to uncover patterns that inform product roadmaps and marketing strategies.
• Collaborate with cross‑functional remote teams (engineers, product managers, designers) to embed data‑driven features into production.
• Implement feature engineering techniques and data preprocessing workflows that scale to billions of records.
• Monitor model performance, conduct A/B tests, and iterate based on real‑world feedback.
• Document findings and present insights to senior leadership in clear, actionable reports.

Requirements

Education & Experience

• Ph.D. or Master’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent practical experience).
• Minimum 3 years of professional experience in data science, preferably in a remote or hybrid environment.
• Proven track record of delivering production‑grade ML models.

Technical Skills

• Advanced proficiency in Python (NumPy, Pandas, Scikit‑learn) and R.
• Deep knowledge of machine‑learning frameworks such as TensorFlow, PyTorch, or Keras.
• Expertise with SQL/NoSQL databases and data warehousing solutions (e.g., Snowflake, BigQuery).
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
• Strong understanding of statistical modeling, experimental design, and hypothesis testing.

Soft Skills

• Excellent written and verbal communication to convey complex technical concepts to diverse audiences.
• Self‑starter mindset with the ability to manage multiple projects and meet tight deadlines.
• Collaborative spirit that thrives in asynchronous, remote team settings.

Benefits

• Competitive salary range: **$95,000 – $135,000 USD/year**.
• Full remote flexibility – choose your own schedule and workspace.
• Comprehensive health, dental, and vision plans (employee‑only coverage).
• Generous paid time off and company‑paid holidays.
• Professional development stipend for conferences, certifications, and courses.
• State‑of‑the‑art home office equipment allowance.
• Equity options for high‑performing candidates.

About the Company

We are a rapidly scaling SaaS company that empowers businesses with intelligent data solutions. Our mission is to democratize AI, making sophisticated analytics accessible to organizations of all sizes. With a distributed team spanning North America, we prioritize transparency, innovation, and work‑life balance. Our culture thrives on curiosity, collaboration, and a shared commitment to building technology that makes a real impact.

How to Join

If you’re passionate about turning data into strategic advantage and love the freedom of remote work, we’d love to hear from you. Submit your resume, a brief cover letter highlighting your ML achievements, and links to relevant projects or GitHub repositories. Our recruitment team will review each application and reach out to shortlisted candidates for a series of virtual interviews.