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Job Summary:
Invisible Technologies is the AI operating system for the enterprise, specializing in structuring messy data and deploying AI-powered solutions. As a Data Scientist, you will collaborate with clients and internal teams to develop and implement data science solutions, translating complex problems into scalable models while engaging with both technical and non-technical stakeholders.
Responsibilities:
Collaborate with delivery leaders to scope, develop, 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
Qualifications:
Required:
1-5+ 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 mindset and comfort working in fast-moving, unstructured environments
Be willing to be on-call for our customers when situations arise
Strong engineering background demonstrated by a Bachelors degree in Data Science, Computer Science and related fields OR equivalent professional experience
Company:
Invisible Technologies is the AI operating system for the enterprise. Founded in 2015, headquartered in San Francisco, California, USA, team size 201-500 employees, currently Growth Stage. Invisible Technologies has a track record of offering H1B sponsorships.
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