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Applied Data Scientist

July 7, 2026

The Company GitKraken is the developer experience (DevEx) platform of choice for more than 40 million developers and 100,000 organizations globally. Combining built-in AI and powerful workflow orchestration, GitKraken empowers development teams to eliminate unnecessary toil, streamline collaboration, and accelerate productivity. GitKraken’s seamless integrations with leading Git providers, issue tracking tools, and AI solutions make it the most versatile DevEx platform available across desktop, command line, IDE, web, and mobile environments. Discover smarter, faster development at or follow us on LinkedIn. The Role At GitKraken, our goal is to help developers and their teams focus, create, and collaborate while minimizing distractions, context switching, and wasted time. Our developer experience platform supports millions of developers across desktop, command line, IDE, browser, web, and mobile. We’re looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data. Sometimes it will come from the business. In both cases, you’ll be expected to determine what’s possible, identify the fastest credible path forward, and ship solutions that create measurable impact. This is a high-ownership role for someone comfortable working across data, product, and engineering. You should be able to frame ambiguous problems, explore messy data, build models or heuristics, integrate with production systems, measure outcomes, and iterate quickly. We care about practical impact, traction, and speed of learning. We are not looking for someone who waits for perfect specs or over-polishes a solution before proving it matters. What You'll Do - Identify high-value opportunities from product, customer, and operational data - Evaluate ambiguous ideas quickly and determine what is feasible, useful, and worth shipping - Identify high-value opportunities from product, customer, and operational data - Build practical 80/20 solutions that create leverage quickly, 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 Our Tech Lens We value strong fundamentals over a rigid checklist and are always open to adopting new technologies, here is a snapshot of our current ecosystem: - Languages: Python (for data/ML execution), alongside Go and TypeScript across our core product and backend environments. - Data & Infrastructure: Snowflake for data warehousing, AWS for cloud infrastructure, and Datadog for monitoring and observability. - AI Ecosystem & DevEx: We live and breathe developer experience. We heavily leverage and build around modern AI development tools and LLMs like Cursor, Claude Code, and Codex to accelerate execution and shape the future of workflows. What We're 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 the right answer - Strong communication skills and the ability to explain tradeoffs clearly to technical and non-technical partners - Ownership mindset: you don’t wait for perfect specs, and you follow through from idea to impact Bonus Points - You’ve built and shipped data or ML-powered features, not just analyses - You can prototype quickly and are comfortable refining after launch - You know how to avoid getting buried in edge cases before the core value is proven - You like working in a company with a bias toward action, accountability, and high ownership - You want your work to directly influence product direction and business outcomes How you'll be rewarded 💵 Excellence — Competitive compensation with annual performance-based pay increases 🏖 Balance — Flexible Paid-Time-Off Policy & paid company holidays (chosen by our employees) 👶 Parent life — Generous paid parental leave 🐶 Pets — Pet insurance plan (with no exclusions) 🍎 Health — Health, dental, and vision insurance with competitive employer cost-sharing 🌵 Headquarters — Modern, fully equipped offices designed to maximize productivity in a hybrid environment 🏆 Culture — Great Place to Work Certified 📚 Growth — Paid career development opportunities, audiobook subscriptions, and mentorship 🔮 Future — 401(k) retirement plan plus company matching 🛫 Travel — Company paid domestic trip after your 1-year anniversary & an international trip every 5 years

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...