Data Scientist

Job Title: Data Scientist Location: Warren, NJ Contractor Work Model: Hybrid Type: W2 Contract Compensation: $62.50 - $65.50 per hour Hours: 40.0 hours per week Overview This role will be hands-on across the full data science lifecycle—scoping problems, building models, and helping get solutions into production. You’ll be working closely with Data Engineering, ML Engineering, and product teams to solve real business problems using data. They’re looking for someone who can manage multiple projects at once, work through complex datasets, and communicate findings clearly to both technical and non-technical teams. There’s also a strong focus on building models responsibly. Responsibilities • Contribute to all aspects of the Data Science Project Lifecycle, from scoping to research to development to scalable operation. Coordinate and manage competing priorities across portfolio of AI projects. • Work with other Data Scientists, Data Engineering, Machine Learning Engineers and product teams on the development of data science products to solve business problems • Deliver Responsible AI at scale with best-in-class implementation of model explainability, reliability, security, documentation and bias mitigation in line with Responsible AI policy and standards. • Research cutting-edge techniques and tools to ensure data science solutions are competitive. • Motivate & coach colleagues, including apprentices and early talent within the Data Science team to help them develop technical excellence. Requirements • Will have at least 4 years' experience as a data scientist with proven ability to conceptualize, formulate, prototype and implement algorithms to solve complex business problems. • Can coordinate and manage competing priorities across a portfolio of projects • Compile, integrate, and analyze data from multiple sources to answer business questions • Experience communicating advanced data science concepts to both technical and non-technical audiences to facilitate feasibility assessment, prioritization and adoption. • Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms • Have a deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Optimization, Reinforcement Learning, Bayesian Statistics, NLP etc.) • Proficient in Python. Good knowledge in mining large & complex data sets using SQL and Spark. • Curious, enjoy problem solving and have empathy for the problems you are challenged with • Working knowledge on data science frameworks and toolkits (SciPy, Scikit-Learn, Keras, PyTorch, Etc.) • Experience with Git, Databricks and Microsoft Azure technical stack • Prior exposure to Agile methodologies • Experience building large scale machine learning systems • MUST HAVE: 4+ Years of Experience, Agile, Machine Learning, Python, Strong communication skills System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M- Ref: #568-Clinical