Data Scientist II

About Invisible

Invisible Technologies is the AI training 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, Microsoft, and Cohere, 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 revenue.

About The Role

At Invisible, Data Scientists aren’t just data experts, they’re problem-solvers, collaborators, and trusted partners embedded directly with teams to drive high-impact outcomes. As a Data Scientist within forward deployment, you’ll work closely with both our internal teams and external stakeholders to understand their most pressing challenges and deliver data-driven solutions that create immediate, tangible value. We’re looking for someone who is adept at making sense of complex data and eager to dive into large datasets from various sources to extract meaningful insights and detect trends. This role is ideal for someone who enjoys not only analyzing data but also deploying machine learning models that influence real-world decisions and collaborating with various teams to convert data into actionable strategies.

You’ll bring both technical expertise and business acumen, embedding yourself within cross-functional teams to deploy models, drive experiments, and guide data-informed decisions that make a measurable impact. Your ability to clearly communicate findings, whether to technical teams or non-technical stakeholders will help shape our products and optimize business practices. In this role, you’ll play a key part in upholding high standards of data quality and governance, while continuously exploring new tools and techniques to enhance our capabilities.

What You’ll Do

• Work directly with clients and internal stakeholders to understand key business challenges and rapidly design data-driven solutions.
• Collect, process, and analyze large datasets from diverse sources, uncovering actionable insights that inform strategy and operations.
• Build, test, and deploy machine learning models that support predictive analytics and optimize decision-making in fast-paced environments.
• Collaborate cross-functionally with engineering, product, marketing, and operations teams to identify opportunities where data can drive impact.
• Communicate complex findings clearly and concisely to both technical and non-technical audiences through reports, dashboards, and presentations.
• Design and run experiments (including A/B tests) to measure and enhance product and business performance.
• Ensure data quality, integrity, and governance across all workflows and deployments.
• Continuously explore new technologies, tools, and methodologies to enhance our data science capabilities.

What We Need

• 2-4 years of hands-on experience in data science, preferably in a forward-deployed or client-facing role.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proficiency in Python or R for data analysis and machine learning, along with strong SQL skills.
• Experience with machine learning frameworks and libraries (scikit-learn, TensorFlow, PyTorch, etc.).
• A proven track record of building and deploying machine learning models in production environments.
• Familiarity with data visualization tools like Tableau, Looker, or Power BI.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent problem-solving abilities, with a balance of technical rigor and business insight.
• Strong communication skills with an ability to build relationships and trust with both technical and non-technical stakeholders.
• Adaptable and resourceful, able to thrive in ambiguous, fast-changing environments.

What’s in it for you

Compensation:
Invisible is committed to fair and competitive pay, 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.

• Tier 1: $149,000 - $165,000

An Invisible Talent Acquisition Partner can provide more information on which locations are included in each of our geographic pay tiers during the interview process. For candidates outside 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-related 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 ideas, relentless 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 place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-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 Talent Acquisition team can help answer any questions about location after starting the recruiting process.

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 Talent Acquisition team during the recruitment process at accommodation@invisible.email. 

Equal Opportunity Statement:

We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, 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.