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.

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