Applied Data Scientist
At a glance
Mid-level Data Science role at gitkraken. Scottsdale · full-time · no salary stated · we estimate $115,300–$175,500 across the United States.
gitkraken has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Find promising opportunities in product, customer and operational data, then check which ideas are practical and valuable enough to pursue
- Build simple data, ML or automation solutions first, then improve them as evidence of traction comes in
- Take work from data exploration and modeling through experiments, backend connections and product release
- Set measures of success, track how solutions perform in use and adjust them based on the results
- Work with engineering, product, design and leadership to turn early ideas into capabilities people can use
What you bring
- Deep hands-on experience in machine learning, applied AI or a closely related product data role at senior level
- A record of putting data- or ML-powered capabilities into products or operational processes
- The ability to take unclear problems through practical delivery, including work beyond notebooks
- Sound judgment on when to use models, rules, analytics, automation or workflow changes
Who this fits
This role suits a senior, hands-on practitioner who can move between data, product and engineering, make progress without detailed specs, and carry ideas through to measurable results. The work emphasizes practical solutions, rapid learning and clear communication about tradeoffs.
From the employer
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 www.gitkraken.com 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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