Data Scientist 6-month contract-to-hire Raleigh, NC - Hybrid, preferred but US - Remote possible Must-haves: • 5+ years of professional experience (POST GRAD) as a delivery-focused Data Scientist • Master's education in Computer Science, Mathematics, Statistics, or a related field. • Experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc. • Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc. • Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams. • Possess advanced programming skills in Python, R, or other relevant languages for data analysis. Pluses: • Fine tuning LLM models • AWS • Coming from a multimodal environment ( LexisNexis is a multimodal environment, Claude, opensource, OpenAI) • Racks platform About the Role As a Senior Data Scientist I, you will leverage your advanced analytical skills to extract insights from complex datasets. Your expertise will drive data-driven decision-making and contribute to the development of innovative solutions. You will collaborate with cross-functional teams to enhance business strategies and drive growth through actionable data analysis. • Responsibilities • Leading the development of advanced AI and machine learning models to solve complex business problem • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs • Building models, performing analytics, and creating AI features • Mentoring junior data scientists and provide guidance on AI and machine learning best practices • Working with product leaders to apply data science solutions • Possessing quality, cleansing, structuring for downstream processing • Design accurate and scalable prediction algorithms • Collaborate with engineering team to bring analytical prototypes to production • Generate actionable insights for business improvements Qualifications • Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) • At least 1 - 2 years' of experience in quantitative analytics or data modeling • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms • Fluency in a programming language (Python, C,C++, Java, SQL) • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.