Job Title: Machine Learning Engineer/Data Scientist Pay & Location: Location: Fully Remote Pay Rate: ($75/hr.- $ 85/hr. W2) Machine Learning Engineer/Data Scientist Deliver insights to help our clients turn data into action as a Data Scientist Advisor. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career. The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. HOW A DATA SCIENTIST ADVISOR WILL MAKE AN IMPACT · Develop data science / Machine Learning (ML) / Artificial Intelligence (AI) solutions to complex business challenges. · Utilize advanced data science tools and skills to interpret, connect, predict, and make discoveries in data. · Use predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes. · Manage and analyze large and/or complex datasets. · Provide support in capturing and defining any requirements for the deliverables/ solutions for the projects under this contract. · Provide expertise and implementation support for projects in data science, predictive analytics, machine learning, and artificial intelligence. · May coach and review the work of less-experienced professionals. WHAT YOU’LL NEED TO SUCCEED: Education: Masters of Science in Data Science, or similar degree Required Experience: 8+ years of related experience Required Technical Skills: • • Specific skill sets required • • · Proven experience developing machine learning models and engineering features using Python, Spark, and other packages in Amazon SageMaker AI · Able to create complex queries in SQL for testing and data analysis · Experience developing ML pipelines and with ML Operations · Experience with Model Tuning and Governance · Experience with the following tools: MLFlow, GitHub, Docker Required Skills • Data Science, Data Analysis, Docker (Software), Feature Engineering, Interpersonal Communication, Machine Learning, Machine Learning Operations, MLFlow, Model Governance, Model Tuning, Predictive Modeling, Python (Programming Language), Strong writer and communicator Public Trust: Requires ability to pass background check and meet the residency requirement for having resided in the US at least (3) three out of the last (5) five year Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com. Job ID: JN -052025-102171