Data Scientist II

Summary

Join Invisible Technologies, a leading AI training and scaling partner, as a Data Scientist. You will work closely with internal and external teams to solve complex business challenges using data-driven solutions. Responsibilities include collecting, processing, and analyzing large datasets, building and deploying machine learning models, collaborating with cross-functional teams, and communicating findings effectively. This role requires 2-4 years of hands-on data science experience, a Bachelor's or Master's degree in a related field, proficiency in Python or R, and experience with machine learning frameworks. Invisible offers competitive compensation, bonuses, and equity, and is a remote-first organization.

Requirements

• 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

Responsibilities

• 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

Benefits

• Competitive pay reflecting market conditions and individual value
• Bonuses and equity are included in offers above entry level
• Remote-first organization