Our client, a leading technology company, is seeking a Data Scientist to join their team. As a Data Scientist, you will be part of the Research and Development department supporting the Machine Learning team. The ideal candidate will have strong technical skills, a passion for innovation, and the ability to work collaboratively in a fast-paced environment. **Job Title:** Research Scientist III **Location:** Thornton, CO **Duration:** 3 Months on W2 **What's the Job?** + Develop, prototype and produce innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement) + Use generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems + Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard AI/ML models and working with Large Language Models + Proficiency in both Supervised(Linear/Logistic Regression) and Unsupervised algorithms(k means clustering) + Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management + Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area + Innovate by adapting new modeling techniques and procedures + Passionate about working with huge data sets ( training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets + Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive. + Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers **What's Needed?** + Expertise in a breadth of ML techniques + Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field + Experience with Python, R, SQL, and/or other programming languages + Strong problem-solving skills and ability to work independently + Excellent communication and collaboration skills **What's in it for me?** + Opportunity to work with cutting-edge technology and innovative solutions + Competitive pay and benefits package + Collaborative and supportive work environment + Opportunities for professional growth and development + Chance to make a meaningful impact on the company and its customers If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! **About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells** _ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands –_ **_Manpower, Experis, Talent Solutions, and Jefferson Wells_** _–_ creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent. ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.