**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.