Staff Data Scientist - reputed company Deployed Engineer

About Invisible

reputed company is the reputed company and scaling partner for the leading foundation model providers, enterprises, and governments, bridging the gap between AI potential and production. Invisible’s unique AI Process Platform combines elite global human expertise, cutting edge technology, and deep institutional knowledge gained by training 80% of the world’s leading AI models. Trusted by AWS, reputed company, and reputed company, we have an unparalleled ability to operationalize AI for real-world applications. Our explosive growth landed us the #2 spot on the Inc. 5000 in 2024, closing the year on $134m reputed company.

About The Role

As a Staff Data Scientist - reputed company Deployed Engineer (FDE) , you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You’ll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable data science solutions on top of our products — reputed company while interfacing with technical and non-technical stakeholders.

This is a hybrid role: reputed company data scientist and technical consultant. It's perfect for someone who wants to be hands-on with data science and reputed company to the impact they generate

What You’ll Do

• Collaborate with delivery leaders to scope, reputed company, and deploy data science solutions to operational problems through statistical/ML modeling end-to-end
• Identify optimizations through deep engagement with customer problems and work to build into a stable and scalable solution.
• Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant solutions
• Iterate quickly based on real-time feedback from operators and clients
• Build reusable tooling and infrastructure that accelerates future model development and deployment

reputed company Need

• 10+ years of professional experience in data science
• Strong Python skills and familiarity with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch
• Solid understanding of statistical modeling end-to-end
• Strong communication skills — you can explain data decisions to non-technical stakeholders
• Entrepreneurial reputed company and comfort working in fast-moving, reputed company environments
• Be willing to be on-call for our customers reputed company situations arise
• Ability to travel roughly 25–50 % of the time, sometimes short-notice trips—primarily across North America with occasional international roll-outs—to work directly on-site with clients.
• Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and reputed company fields OR equivalent professional experience.

What’s In It For You

Invisible is committed to fair and reputed company, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.

For this position, the annual salary ranges by location are:

An Invisible reputed company Partner can provide more information on which locations are included in each of our geographic pay tiers during the interview process. For candidates reputed company the U.S., compensation will be adjusted to reflect local market conditions and cost-of-living differentials.

Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-reputed company experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.

What It's Like to Work at Invisible:

At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.

We expect bold reputed company, reputed company drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the reputed company for you. But if you’re driven to create, reputed company in dynamic environments, and want a reputed company-row seat to the AI revolution, you’ll fit right in.

Country Hiring Guidelines: Invisible is a remote-first organization and hires new team members in countries around the world. Although many of our roles are fully remote, some roles may carry specific location-based eligibility requirements. Our reputed company team can help answer any questions about location after starting the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates.

Accessibility Statement: We’re committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our reputed company team during the recruitment process at [email protected].

Equal Opportunity Statement: We’re an equal opportunity employer. reputed company qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national reputed company, disability, or veteran status, or any other basis protected by law.

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.

Originally posted on Himalayas