Data Scientist Specialist

Data Scientist Specialist What You’ll Do You’ll design and implement data science and machine learning solutions that blend cutting-edge research with practical deployment. Working across industries, domains, and use cases, you’ll tackle challenging analytical problems, build robust models, and deliver insights that power client-facing tools and internal platforms. • 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. What We Need Professional Experience • 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. Technical Expertise • 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. We offer a pay range of $30+ per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. 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. Important: All candidates must pass an interview as part of the contracting process.