Applied Data Scientist
WFA Digital Insight
The demand for data science specialists with a strong background in machine learning and AI has seen significant growth, with over 40% of companies now leveraging AI for workflow optimization. As a remote Applied Data Scientist at GitKraken, you'll join a team that is shaping the future of developer experience, empowering millions of developers worldwide. With a focus on practical impact and speed, this role is ideal for those who can navigate ambiguity, explore complex data, and deliver measurable results. Before applying, consider your ability to work across data, product, and engineering, and how your skills in Excel and other tools can contribute to GitKraken's innovative platform.
Job Description
About the Role
The Applied Data Scientist role at GitKraken is a high-ownership position that requires a unique blend of technical expertise, business acumen, and collaborative spirit. As an Applied Data Scientist, you will be responsible for identifying high-value opportunities from product, customer, and operational data, and then driving the development of practical solutions that create measurable impact. This role is perfect for someone who is comfortable working in a fast-paced environment, navigating ambiguity, and exploring complex data to uncover insights that can inform business decisions.The Applied Data Scientist will be part of a team that is passionate about empowering developers and their teams to focus, create, and collaborate while minimizing distractions, context switching, and wasted time. You will have the opportunity to work closely with cross-functional teams, including engineering, product, design, and leadership, to turn rough ideas into shipped capabilities that drive real-world impact.
What You Will Do
- Identify high-value opportunities from product, customer, and operational data to inform business decisions
- Evaluate ambiguous ideas quickly and determine what is feasible, useful, and worth shipping
- Build practical 80/20 solutions that create leverage quickly, and then refine them based on traction
- Own end-to-end execution across data exploration, modeling, experimentation, backend integration, and productization
- Partner with engineering, product, design, and leadership to turn rough ideas into shipped capabilities
- Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one is not needed
- Define success metrics, instrument outcomes, and improve solutions based on real-world usage
- Help shape how GitKraken uses AI and data to improve developer workflows, team velocity, and product experience
- Collaborate with the team to identify areas for process improvement and implement changes that increase efficiency and productivity
- Stay up-to-date with industry trends and emerging technologies, applying this knowledge to continuously improve GitKraken's products and services
What We Are Looking For
- Deep experience in machine learning, applied AI, or a similarly hands-on product data role at a Senior level
- A track record of shipping data or ML-powered capabilities into real products or operational workflows
- Comfort moving from messy problem statements to practical execution without a lot of structure
- Ability to work across the stack, not just in notebooks
- Strong product judgment and a bias toward simple solutions that deliver measurable value
- Experience deciding whether a problem is best solved with ML, rules, analytics, automation, or workflow design
- Ability to balance speed and rigor, including knowing when 'good enough to learn' is, well, good enough
- Proficiency in Excel and other data analysis tools
Nice to Have
- Experience with Python, Go, and TypeScript
- Knowledge of Snowflake, AWS, and Datadog
- Familiarity with modern AI development tools and LLMs like Cursor, Claude Code, and Codex
- Understanding of developer experience and workflow optimization
Benefits and Perks
- The opportunity to work with a talented team of professionals who are passionate about empowering developers
- A dynamic and supportive work environment that encourages collaboration and innovation
- Access to the latest tools and technologies, including AI and machine learning platforms
- Flexible working hours and remote work options to ensure a healthy work-life balance
- Professional development opportunities, including training and conference attendance
- Competitive compensation and benefits package
- Equity options for eligible employees
- Generous PTO policy and holiday allowance
- Access to mental health resources and employee wellness programs
- Remote work stipend to support your home office setup
- Regular team-building activities and social events to foster a sense of community and connection
How to Stand Out
- Tip: Make sure your resume and cover letter are tailored to the role, highlighting your experience with machine learning, AI, and data analysis.
- Be prepared to discuss your approach to problem-solving and how you navigate ambiguity in your work.
- Showcase your ability to communicate complex technical concepts to non-technical stakeholders.
- Highlight your experience working with cross-functional teams and your ability to collaborate effectively.
- Consider creating a portfolio that demonstrates your skills in data science and machine learning, including any personal projects or contributions to open-source repositories.
- Be prepared to discuss your experience with Agile development methodologies and your ability to work in a fast-paced environment.
- Research GitKraken's products and services, and be prepared to discuss how your skills and experience align with the company's mission and values.
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