Remote Data Scientist – Transform Data into Actionable Strategy – Join a Fast‑Growing SaaS Company

We are looking for a passionate Data Scientist to uncover hidden patterns, build predictive models, and drive data‑informed decisions across product and marketing teams. This fully remote role offers the flexibility to work from anywhere while collaborating with a talented, mission‑focused team. If you thrive on turning complex datasets into clear business impact, keep reading.

About the Role

As a Remote Data Scientist, you will partner with product managers, engineers, and analysts to design experiments, develop machine‑learning pipelines, and communicate insights that shape our roadmap. You’ll own the end‑to‑end analytics lifecycle—from data wrangling and feature engineering to model deployment and monitoring—ensuring our solutions are both scientifically rigorous and commercially valuable.

Key Responsibilities

• Explore large, structured and unstructured datasets to identify trends, anomalies, and opportunities.
• Build, validate, and deploy predictive models (classification, regression, clustering, recommendation) using Python/R and libraries such as scikit‑learn, TensorFlow, or PyTorch.
• Design and analyze A/B tests, providing statistical rigor and actionable recommendations.
• Create clear visualizations and dashboards (Tableau, Power BI, or Looker) to convey findings to technical and non‑technical stakeholders.
• Collaborate with data engineers to improve data quality, pipeline reliability, and feature stores.
• Stay current with emerging ML techniques and advocate for best practices in model governance and ethics.

Requirements

We seek candidates who combine strong analytical foundations with practical experience delivering data‑driven solutions.

Must‑Have

• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field (or equivalent professional experience).
• 3+ years of hands‑on experience as a Data Scientist or Machine Learning Engineer in a product‑focused environment.
• Proficiency in Python (pandas, NumPy, scikit‑learn) or R; SQL expertise for data extraction and manipulation.
• Solid grasp of statistical concepts (hypothesis testing, regression, time‑series analysis) and machine‑learning algorithms.
• Experience with version control (Git) and CI/CD pipelines for model deployment.
• Excellent communication skills—ability to translate technical results into business insights.

Nice‑to‑Have

• Knowledge of big‑data tools (Spark, Hadoop, Databricks).
• Experience with cloud platforms (AWS, GCP, Azure) and managed ML services (SageMaker, AI Platform).
• Background in SaaS, e‑commerce, or digital marketing analytics.
• Publications, Kaggle competitions, or open‑source contributions.

Benefits & Perks

We believe great work stems from great support. Our remote‑first culture is backed by a comprehensive benefits package designed to keep you healthy, motivated, and growing.

Compensation

Salary Range: $110,000 – $150,000 USD per year (based on experience and location‑adjusted market rates).

Generous equity/stock‑option plan.

Full medical, dental, and vision coverage (global providers).

401(k) with company match (or equivalent retirement plan).

Annual learning stipend for courses, certifications, or conferences.

Flexible paid time off plus company‑wide recharge days.

Home‑office setup allowance and monthly internet stipend.

Wellness programs: mental‑health resources, virtual fitness classes, and wellness reimbursements.

Why Join Us?

Our product impacts millions of users worldwide, and data sits at the core of every strategic decision. You’ll have the autonomy to experiment, the support of seasoned mentors, and the visibility to see your models move from notebook to production in weeks—not months. If you’re eager to solve meaningful problems, grow your expertise, and enjoy the freedom of a truly remote role, we’d love to hear from you.