\\\\Senior Data Scientist\\\\ \\\\Anywhere\\\\ \\\\Type:\\\\ Contract-to-Hire \\\\Category:\\\\ Data \\\\Industry:\\\\ Government \\\\Workplace Type:\\\\ Remote \\\\Reference ID:\\\\ JN -112025-104364 \\\\Date Posted:\\\\ 12/10/2025 \\\\Shortcut:\\\\ \\+ Description \\+ Recommended Jobs \\\\Description:\\\\ We are looking for a hands-on data scientist is sought to develop prototypes of emerging technologies such as large language models (LLMs) and generative AI that solve complex business challenges. The ideal candidate will have at least seven years of experience in AI/ML/NLP and data modeling, along with strong cloud engineering expertise to ensure seamless integration of solutions within cloud-native environments. This role is part of a dynamic team focused on applying advanced technologies to drive digital modernization and innovation. Rate: $60-70/hr. W2 Location: Remote \This is a contract-to-hire opportunity. Applicants must be willing and able to work on a W2 basis and convert to FTE following contract duration. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.\\ \\\\Responsibilities:\\\\ Operate and maintain an innovation lab focused on ideation, design, and engineering of cloud-native modernization projects using emerging technologies. Develop comprehensive plans for implementing AI/ML/NLP solutions that meet cybersecurity and compliance standards. Serve as a subject matter expert for large language model implementation and training. Design and develop pilots, prototypes, and proof-of-concept solutions to validate modernization opportunities. Ensure transparency, traceability, and security compliance, including preparation for Authorization To Operate (ATO) certifications. Build predictive models, machine learning algorithms, and statistical analyses to address complex business problems. Create low-risk implementation plans and present recommendations and demonstrations to executive and technical stakeholders. Collaborate with cross-functional teamsdata engineering, product, and businessto translate requirements into data-driven solutions. Conduct exploratory data analysis and extract actionable insights from large datasets. Support customer and user experience initiatives through research, metrics, and design artifacts such as wireframes and mockups. Develop reusable code libraries and best practices for innovation and deployment. Mentor junior data scientists and promote adoption of new technologies and methodologies. Stay current with advancements in AI, ML, NLP, and cloud architectures. Support Agile product teams in integrating and operationalizing emerging technologies. Analyze usage data to identify patterns and opportunities for optimization. \\\\Experience Requirements:\\\\ Experience with the following: Proven track record of delivering impactful AI/ML/NLP solutions in cloud environments. Strong communication, collaboration, and problem-solving skills. Proficiency in programming languages such as Python, R, SQL, and Java. Large Language Models (LLMs) and Generative AI AI/ML/NLP frameworks and tools Terraform, GitLab pipelines, and MLOps PyTorch and statistical modeling Databricks, Tableau, Power BI Big Data & Cloud Platforms: Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, GCP Version control and containerization (Git, Docker) \\\\Education Requirements:\\\\ Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field; advanced degree preferred. Minimum of 7 years of experience in data analytics, modeling, machine learning, NLP, and AI technologies within cloud-native environments (AWS, Azure, or Google Cloud). Ability to obtain and maintain a Public Trust clearance or equivalent clearance if required. Must have resided in the U.S. continuously for the past two years. \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 .\\ \About Eliassen Group:\\ \Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.\\ \Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.\\ \Dont miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!\\

The role requires at least seven years of experience in data analytics, modeling, machine learning, NLP, and AI technologies within cloud-native environments. Proficiency in programming languages such as Python, R, SQL, and Java is necessary. Experience with Large Language Models (LLMs) and Generative AI is also required. Familiarity with AI/ML/NLP frameworks and tools, including Terraform, GitLab pipelines, MLOps, PyTorch, and statistical modeling, is essential. Experience with platforms like Databricks, Tableau, Power BI, and Big Data & Cloud Platforms such as Hadoop, Hive, AWS, Azure, and GCP is expected. Version control and containerization tools like Git and Docker are also listed as requirements. A Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field is required, with an advanced degree being preferred.