Remote Data Scientist – US-Based – Drive AI-Powered Insights

Join Apex Analytics as a Remote Data Scientist and turn massive data streams into actionable intelligence that shapes product strategy for Fortune‑500 clients. This fully remote role offers the autonomy to design end‑to‑end machine learning pipelines while collaborating with a global team of engineers and business leaders.

About the Role

At Apex Analytics, data is the heartbeat of every decision. As a Remote Data Scientist, you will own the full lifecycle of predictive modeling—from exploratory analysis and feature engineering to model deployment and monitoring. You will partner closely with product managers to translate business questions into scalable analytical solutions, leveraging cloud‑native tools such as AWS SageMaker, GCP Vertex AI, and Databricks. Your work will directly influence revenue growth, customer retention, and operational efficiency across multiple industry verticals.

Key Responsibilities

• Design, build, and maintain production‑grade machine learning models for classification, regression, and time‑series forecasting.
• Conduct rigorous statistical analysis and A/B testing to validate hypotheses and measure impact.
• Collaborate with data engineers to optimize data pipelines, ensuring high‑quality, low‑latency feature stores.
• Present findings and recommendations to stakeholders through clear visualizations and executive‑ready narratives.
• Stay current with emerging ML research, evaluating new algorithms for potential adoption.

Requirements

Technical Expertise

• Master’s degree (or equivalent experience) in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 4+ years of professional experience building and deploying machine learning models in a cloud environment.
• Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL; familiarity with Scala or Java is a plus.
• Hands‑on experience with MLOps tools (MLflow, Kubeflow, Airflow) and container orchestration (Docker, Kubernetes).
• Strong grasp of statistical inference, experimental design, and model explainability techniques (SHAP, LIME).

Soft Skills & Mindset

• Exceptional problem‑solving ability with a bias for action and iterative delivery.
• Excellent written and verbal communication; comfortable translating technical concepts for non‑technical audiences.
• Proven track record of thriving in a fully remote, asynchronous work culture.
• Commitment to continuous learning and knowledge sharing within the data community.

Salary Range

Estimated compensation: $115,000 – $150,000 USD per year, commensurate with experience, location differentials, and performance bonuses. Apex Analytics also offers equity participation for senior contributors.

Benefits & Perks

• 100% remote work with a generous home‑office stipend ($1,500 annually).
• Comprehensive health, dental, and vision coverage for you and dependents.
• Unlimited PTO plus 10 paid company holidays.
• Annual learning budget of $3,000 for courses, certifications, and conferences.
• Quarterly virtual hackathons and a vibrant Slack community for peer support.
• 401(k) matching up to 4% and flexible spending accounts.

Our Culture

Apex Analytics is built on transparency, data‑driven decision making, and inclusive collaboration. We celebrate diverse perspectives and encourage every team member to challenge assumptions. Our remote‑first philosophy means you can work from anywhere in the United States while staying connected through weekly syncs, monthly all‑hands, and an annual in‑person retreat.

How to Succeed Here

Success in this role means delivering models that move key business metrics, mentoring junior analysts, and contributing to the open‑source tools we rely on. If you thrive on turning raw data into strategic advantage and want a career where your code ships to millions of users, this is the place to make an impact.