Data Science Fellow Remote Opportunity

Empowering Innovation Through Data

Are you passionate about transforming data into groundbreaking insights that drive real-world change? Join us as a Data Science Fellow in a dynamic, fully remote setting, where your expertise fuels innovation across high-impact projects. We seek someone who blends statistical acumen with technical creativity, leveraging advanced machine learning and data modeling to unlock untapped potential in digital ecosystems.

This role isn’t just about building models but crafting intelligent systems that deliver strategic value. As a fellow, you’ll immerse yourself in data architecture, real-time analytics, and problem-solving at scale—all while working in a collaborative environment that values continuous learning and experimentation.

Annual Compensation: $104,900

What You Will Do

Uncover Intelligence Hidden in Data

• Lead the design, development, and deployment of predictive models and data pipelines using real-world datasets.
• Identify and interpret trends, anomalies, and actionable insights across structured and unstructured data.
• Partner across diverse technical and business units to deliver impactful data-driven initiatives that align with business goals.
• Apply deep statistical methods and A/B testing to inform high-stakes decisions.

Drive High-Impact Projects

• Partner with engineering, product, and strategy teams to shape data-centric product features.
• Build scalable algorithms for recommendation systems, customer segmentation, and performance forecasting.
• Translate analytical findings into visual narratives that influence stakeholders.
• Create and maintain data dashboards to track KPIs, ensuring measurable outcomes.

Cultivate Technical Excellence

• Develop clean, efficient Python, R, or Scala codebases using version control tools like Git.
• Work with cloud-native platforms (AWS, Azure, or GCP) for data ingestion and machine learning model deployment.
• Use containerized environments with Docker and Kubernetes for reproducible experimentation.
• Contribute to open-source initiatives and internal documentation for knowledge sharing.

A Culture Designed for Remote Innovation

This remote-first opportunity empowers you to operate from any location while remaining deeply engaged with a global innovation network and staying connected to a global team of forward-thinking data professionals. Our collaborative culture thrives on open communication, virtual brainstorming, and agile feedback loops. We believe great ideas can come from anywhere—and anyone.

Team members enjoy:

• Weekly virtual whiteboarding and data jam sessions
• A flat organizational structure that encourages direct dialogue with leadership
• Asynchronous workflows using tools like Notion, Slack, and Miro
• Bi-annual virtual summits to sync strategy and celebrate milestones

Tools and Technologies You’ll Use

To build scalable and intelligent systems, you’ll leverage:

• Languages & Frameworks: Python, SQL, TensorFlow, PyTorch, Spark
• Data Stack: Snowflake, Redshift, Apache Airflow, dbt
• Cloud Services: AWS SageMaker, Google BigQuery, Azure Data Factory
• Visualization: Tableau, Power BI, Plotly, Streamlit
• Workflow & Ops: GitHub Actions, Terraform, Docker, Kubernetes

What We’re Looking For

Core Competencies

• Demonstrated experience in data science, machine learning, or statistical modeling (3+ years preferred).
• Advanced degree (Master’s or Ph.D.) in Computer Science, Mathematics, Physics, or related quantitative field.
• Strong foundation in probability, linear algebra, and optimization algorithms.
• Proficiency in data exploration, data cleaning, and feature engineering.

Additional Qualities That Set You Apart

• A portfolio of impactful projects or publications demonstrating analytical depth and innovation.
• Experience working in a remote-first or distributed team environment.
• Excellent written and verbal communication skills to explain complex topics clearly.
• Natural curiosity paired with a drive to experiment and improve continuously.

Why This Role is Different

This isn’t just another data job. As a Data Science Fellow, your work will directly shape high-level strategy and technological evolution. You’ll push boundaries—not just crunch numbers.

We offer a learning-first culture where knowledge is openly exchanged and mentorship is an everyday part of growth. You'll be empowered to try new approaches and take ownership of solutions sporadically.

You’ll have the chance to:

• Experiment with cutting-edge architectures in a sandbox environment
• Influence product direction through data innovation
• Explore data ethics, model interpretability, and fairness in AI systems
• Work on social impact projects that benefit real communities

Your Next Chapter Starts Here

If you're seeking a challenge that sharpens your technical edge and gives your work deeper meaning, this is the opportunity you've been waiting for. We welcome you to bring your data engineering fluency, predictive analytics expertise, and problem-solving mindset to a team that values creativity as much as computation.

Ready to Transform What’s Possible?

Apply today to be part of a remote-first team that lives and breathes innovation. Whether you’re passionate about algorithm design, data pipelines, or AI experimentation, we’re ready for your contribution.

Let’s build the future of data science—together.