Data Scientist

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October 23

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Invisible Technologies Inc.

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Artificial Intelligence • SaaS • Enterprise

Invisible Technologies Inc. is a rapidly growing company that integrates world-leading AI with global human talent to enable AI adoption for enterprises. By combining artificial intelligence with human expertise in an integrated platform, Invisible Technologies focuses on training AI models, automating processes, and enhancing digital operations. The company's services include AI training, enablement, and intelligent operations solutions, catering to various industries such as financial services, healthcare, eCommerce, and technology. With significant growth recognized by the Deloitte Technology Fast 500 in 2024, Invisible Technologies helps organizations achieve transformational outcomes and significant ROI through expert process automation and AI solutions.

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• You’ll design and implement data science and machine learning solutions that blend cutting-edge research with practical deployment. • Develop End-to-End Models: Design, train, and evaluate models for prediction, classification, optimization, or inference—taking projects from exploratory analysis through production deployment. • Collaborate on Real-World Solutions: Partner with software engineers, analysts, and fellow data scientists to integrate data-driven models into scalable, deployable systems that operate in dynamic production environments. • Client-Focused Problem Solving: Work closely with stakeholders to frame ambiguous problems, explore solution paths, and translate complex technical insights into clear, actionable recommendations. • Explore, Iterate, Validate: Lead the exploration and analysis of large and diverse datasets using tools like Pandas, NumPy, and Spark to inform model design, evaluate performance, and identify opportunities for improvement. • Research-Driven Innovation: Stay current with advances in statistics, machine learning, and data engineering practices—adapting new methods and technologies to deliver measurable impact on real-world problems.

🎯 Requirements

• 2+ years of hands-on experience building and deploying data science or machine learning models in production environments. • Proven ability to take models from prototype to production using Python-based workflows. • Experience engaging with technical and non-technical stakeholders to refine requirements and communicate results effectively. • Strong proficiency in Python and commonly used ML/data libraries (Pandas, NumPy, scikit-learn, PyTorch, or similar). • Experience working with large-scale datasets and distributed tools such as Spark. • Comfort navigating cloud environments (e.g., GCP, AWS, or similar); Databricks experience is a plus. • Solid understanding of statistical modeling, experimental design, model evaluation, and data debugging practices. • Strong code hygiene — able to write clean, modular, and testable code in collaborative, version-controlled environments.

🏖️ Benefits

• As a contractor you’ll supply a secure computer and high‑speed internet • Company‑sponsored benefits such as health insurance and PTO do not apply