Data scientist jobs in Louisville, CO - 208 jobs

Bilingual Data Scientist On-site in Greenwood Village, CO $40-$50/hour 1-year long W2 contract with benefits About the Role Our client is seeking a bilingual (English + Spanish) Data Scientist to take ownership of an in‑progress Large Language Model (LLM) project. The core solution is already built using GPT-based models, and the team has implemented recursive results and foundational architecture. Your role will be to continue model development, refine existing pipelines, improve performance, and support delivery ahead of the February deadline. You will work closely with cross-functional IT and data teams, transforming complex data into actionable insights while adhering to strict privacy, compliance, and organizational standards. This position is ideal for someone who thrives in fast-paced, research-driven environments and is comfortable working with modern AI tools and cloud technologies. Key Responsibilities Develop, refine, and productionize LLM‑based models, including a partially built GPT-driven solution. Apply data science and machine learning techniques such as clustering, regression, decision trees, SVMs, k‑nearest neighbors, collaborative filtering, matrix factorization, and market basket analysis. Conduct prompt engineering and retrieval‑augmented generation (RAG) workflows for model optimization. Improve model accuracy, relevance, and stability using advanced data mining and NLP techniques. Process and translate complex research data into clear, actionable insights. Work collaboratively with IT teams to design and maintain models within technology and privacy guidelines. Ensure strict adherence to data privacy and industry compliance standards. Utilize Azure-based tools, including Azure Databricks, for model training, deployment, and scalability. Communicate findings clearly in both English and Spanish, supporting bilingual model development and evaluation. Build internal and external professional networks to validate ideas and collaborate on complex challenges. Required Qualifications 1-5 years of professional experience as a Data Scientist or in a similar analytical role. Bilingual fluency in English and Spanish (written and verbal). Practical experience working on AI or LLM-related projects (GPT or similar models). Hands-on experience with: Prompt engineering Retrieval-Augmented Generation (RAG) GPT-based or other LLM architectures NLP techniques (SpaCy experience is a plus) Strong analytical skills with proven experience using clustering, regression analysis, decision trees, SVMs, etc. Proficiency with Azure cloud services, especially Azure Databricks. Strong communication skills with the ability to translate technical content for non-technical audiences. Demonstrated experience working with strict data privacy and data governance standards. Preferred Skills Experience with recursive model workflows. Familiarity with SpaCy-based NLP solutions. Exposure to industrial-grade computing environments or proprietary research tools. Strong teamwork and collaboration abilities. Why This Role Matters The LLM solution is already underway, and the core architecture is in place. This role is crucial for ensuring final delivery-your contributions will directly influence model performance, bilingual capability, and the success of the product launch in February.

Our client is seeking a Lead Data Engineer to join their team! This position is located in Denver, Colorado. Perform hands-on engineering and provide lead-level ownership to data engineering teams Collaborate cross-functionally to solve complex business and technical challenges Translate analytical requirements into actionable engineering solutions and conduct independent research and analysis to inform strategic decision Perform data pipeline development/maintenance and build ETL processes from various sources into Snowflake, Azure, and Fabric Design new data structures and explore how to leverage new tools or platforms Desired Skills/Experience: 7+ years of professional experience, 2+ of those in a dedicated lead/management role Comfortable bridging the gap between engineering teams and executives Hands on technical work will be required, seeking experience in Python, SQL, and ETL Experience working with cloud tools such as: AWS Fabric, Azure Databricks, Snowflake, Redshift Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $145,000 - $160,000+. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . 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As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Job Description Employ some combination (2 or more) of the following skill areas: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data Effectively communicate complex technical information to non-technical audiences Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: US Citizens Only Active TS/SCI Clearance and Polygraph required Information Assurance Certification may be required Minimum of ten (10) years of relevant experience and a Bachelor's degree or twelve (12) years of relevant experience and an Associate's degree required. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university Relevant experience must be two of more of the following: Designing/implementing machine learning Data science Advanced analytical algorithms Programming (skill in at least one high-level language (e.g., Python)) Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data mining Data modeling and assessment Artificial intelligence Software engineering Salary Range: $61,244.98 - $134,738.95 _____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees. Powered by JazzHR h2mSi4iG2v

VERY URGENT AND IMMEDIATE NEED. Note: Need Only US Citizen, Green Card, EAD-GC, J2 EAD, H4 EAD, L2 EAD, and TN Visa. Job Title: Data Scientist Duration: 06+ Months Contract Must Skill Set: Wi-Fi CPE Development Job Description: We are seeking a Data Scientist to join our Wi-Fi CPE Development team in Englewood, Colorado. We define, develop, and test the hardware and software on Spectrum Advanced In-Home Wi-Fi routers deployed to millions of customer homes across the United States. Ideally, we are looking for a skilled data scientist with a good understanding of data models, machine learning models, data cleaning, and some domain knowledge in the field of Wi-Fi and/or wireless performance metrics. Responsibilities Employing data science techniques and analyzing large datasets to assist in proactive network management of larger wireless networks Identify root causes of RF and wireless issues encountered with equipment deployed in the lab, at test houses, or in production networks Understand and analyzing test results Developing models and software tools to organize and analyze large collections of wireless metrics Developing software and tools for interacting with cloud services, databases, and large datasets Creating visualizations and communicating insights across teams Collecting data from various sources (cloud data warehouse, internal database, third-party APIs) Developing and implementing supervised/unsupervised/reinforcement machine learning algorithms Must have: Master's degree in Computer Science or Electrical Engineering Proficiency in Linux and scripting Proficiency in Python and Jupyter notebooks Proficiency in SQL and relational/non-relational database Experience using data science and visualization tools, e.g. Pandas, matplotlib, etc. Experience with machine learning tools/libraries, especially in Python, e.g. scikit-learn, TensorFlow, PyTorch, etc. Fundamental algorithmic and data structure knowledge Strong verbal and written communications skills Willingness to work in an office environment Ability to work with colleagues across teams Desirable to have: Ph.D in Computer Science or Electrical Engineering or 3+ years of experience in software development in ML or data science fields Experience creating and maintaining live dashboards Experience with neural networks and deep learning algorithms Experience with MLOps - automate ML pipelines, monitor model performance, version control of data/model/code, scale models using Kubernetes and containers Experience architecting and deploying cloud services, databases, and controllers Familiarity with cloud environments such as AWS Knowledge of Wi-Fi technologies and protocols (i.e. IEEE 802.11a/b/g/n/ac/ax) Experience with managed Wi-Fi systems and equipment, including Wi-Fi controllers

Talent Navigation Experts is a boutique staffing firm in Denver, delivering all of your recruiting needs. We're more than just headhunters; we provide best-in-class service for both Denver companies and the top talent they want to recruit. Job searches can be difficult, both for companies and candidates. At Talent Navigation Experts, we guide Denver companies through the recruiting process with a customized staffing model built just for them. Quite simply, we bring great companies and great candidates together. Job Description About the Role: Our enterprise-level client, based in Denver, CO is a leading Oil and Gas producer who is committed to reducing its carbon footprint and working toward the use of more sustainable fuel resources. They are seeking a Data Scientist to join the team full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great pay, bonus, and benefits. Qualifications Required Skills: 5+ years in Data Science. Strong Python coding/scripting Skills. AWS CI/CD exposure. Ability to build models that can drive value of data. Deploy the data into AWS environment. Additional Information About the Company: This enterprise-level arm of one of the largest Oil and Gas companies in the world is working hard, through new technology, to reduce its carbon footprint worldwide, focusing on more sustainable energy resources like Solar, Wind, and Hydrogen power. This is an incredible opportunity to join a group focused on bleeding-edge technology. They offer a great salary, incredible bonus structure, and 401k match. Compensation Range (pending experience): $130-168k plus a strong bonus and top tier 401k match Talent Navigation Experts is an Equal Opportunity/Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity employer. All your information will be kept confidential according to EEO guidelines.

Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in GME, Jupyter notebooks, and Spark. Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position. ************************************************************************** Must be a US Citizen Must have TS/SCI clearance w/ active polygraph This position is open to multiple levels of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for: Level 04 requires a minimum seventeen (17) years of experience w/ Degree Level 03 requires a minimum twelve (12) years of experience w/ Degree Level 02 requires a minimum five (05) years of experience w/ Degree Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity. Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Agency collection, processing, storage and analytic capabilities and limitations. These Qualifications Would be Nice to Have: Fully Cleared polygraph is preferred Knowledge of working with Big Data, dataflows, Machine Learning/Artificial Intelligence familiarity. Analytics in GME, Jupyter notebooks, and Spark. The benefits package: • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA• Dental insurance with 100% employer paid premium• Vision with 80% employer paid premium• Employer paid Life insurance 100%• Employer paid Short-term and Long-term disability 100%• Annual training, continued education, and professional memberships reimbursement• Unlimited access to Red Hat Enterprise Linux, AWS, and NetApp training and accreditation• Annual reimbursement for technology i.e. phones, computers, printers, etc...• 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The environment and perks: • Professional development investment and paid time off for training• Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, California, Florida and Hawaii.• Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers• Leadership Team engagement and mentorship• Performance Recognition Program• Complimentary branded apparel Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities. Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000! Email *********************** for more information. Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI's equal employment opportunity policy to *****************.

At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations. Employ some combination (2 or more) of the following skill areas:I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Required Qualifications TS/SCI with agency appropriate poly Bachelor's Degree with 10 years of relevant experience Associates degree with 12 years of relevant experience Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant Experience Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. The Benefits Package Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. Additional benefits include: Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: A Choice of Medical Plan Options, some with Health Savings Account (HSA) Vision and Dental Life and AD&D Benefits Short and Long-Term Disability Hospital Indemnity, Accident, and Critical Illness Insurances Optional Identity Theft and Legal Protection Services Company Environment & Perks Employee Referral Bonus Eligibility up to $10,000 Mobility Among Wyetech-supported Contracts Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. Employees receive two complementary branded clothing orders annually. Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or ********************. We are happy to provide reasonable accommodations to ensure equal access to all candidates.

Job Title: Data Scientist/Engineer (TS/SCI) Job Description We are seeking a motivated Data Scientist/Engineer who is eager to tackle challenging problems and contribute to the development of advanced AI/ML algorithms. You will work across various disciplines including large language models, natural language processing, and time-series predictive analytics. Join our team of accomplished researchers and software developers who are ready to mentor and share their expertise. Responsibilities + Support the development of AI/ML algorithms. + Engage in large language models and natural language processing projects. + Work on time-series predictive analytics. + Collaborate with a team of researchers and software developers. Essential Skills + Proficiency in data science techniques and methodologies. Additional Skills & Qualifications + A willingness to learn and engage with new challenges. Work Environment You will work within a collaborative environment alongside skilled researchers and developers who are passionate about sharing their knowledge and expertise. Job Type & Location This is a Permanent position based out of Aurora, CO. Pay and Benefits The pay range for this position is $100000.00 - $240000.00/yr. Comprehensive medical/vision/dental insurance packages Company contributions to qualified HSA accounts 401k retirement plan with industry leading company contributions 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events 13 paid holidays Upfront tuition assistance for approved degree programs Annual bonus program based on company and employee performance Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance 4 weeks paid Parental Leave Employee assistance program (EAP) Workplace Type This is a fully onsite position in Aurora,CO. Application Deadline This position is anticipated to close on Jan 22, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

We are seeking a highly skilled Data Scientist / Machine Learning Engineer to develop advanced analytics and machine learning solutions that drive meaningful insights for our customers. In this role, you will design and test algorithms, build data-driven experiments, and collaborate closely with SMEs and developers to transform data into actionable intelligence. This position is ideal for someone who excels at both innovative research and practical implementation. Responsibilities: Algorithm Development: Develop machine learning, data mining, statistical, and graph-based algorithms to analyze complex data sets and uncover meaningful patterns. Model Evaluation: Test, validate, and down-select algorithms to determine the best-performing models for customer requirements. Experimental Design & Data Generation: Design experiments and creating synthetic or simulated data when training/example data sets are limited or unavailable. Data Visualization & Reporting: Produce clear reports, dashboards, and visualizations that communicate data insights to customers and stakeholders in an intuitive manner. Automation & SME Collaboration: Work with subject matter experts to convert manual analytic workflows into efficient, automated analytics solutions. Cross-Functional Development: Collaborate with software developers to ensure algorithms are properly implemented, optimized, and integrated into production systems. *This position is designed to be flexible, with responsibilities evolving to meet business needs and enable individual growth. Required Qualifications: Active TS-SCI security clearance with the ability to obtain a CI poly. Experience designing, training, and validating machine learning models and statistical algorithms. Proficiency with Python, R, or similar languages used for analytics and model development. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Strong understanding of experimental design and data generation strategies. Ability to communicate complex analytic concepts to both technical and non-technical audiences. Demonstrated ability to work collaboratively across multidisciplinary teams. Degree in Mathematics/Statistics, Computer Science, or a relevant domain field. MA/MS degree with 13+ years of relevant experience, OR BA/BS degree with 15+ years of relevant experience in a discipline aligned with the position's responsibilities. Why Work for Us? Core4ce is a team of innovators, self-starters, and critical thinkers-driven by a shared mission to strengthen national security and advance warfighting outcomes. We offer: 401(k) with 100% company match on the first 6% deferred, with immediate vesting Comprehensive medical, dental, and vision coverage-employee portion paid 100% by Core4ce Unlimited access to training and certifications, with no pre-set cap on eligible professional development Tuition assistance for job-related degrees and courses Paid parental leave, PTO that grows with tenure, and generous holiday schedules Got a big idea? At Core4ce, The Forge gives every employee the chance to propose bold innovations and help bring them to life with internal backing. Join us to build a career that matters-supported by a company that invests in you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, disability, veteran status, age, genetic information, or other legally protected status.

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization and analytics. The Level 3 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than five areas is strongly preferred. Support to IDC. Building and maintaining custom data analytics to automate and scale signals analysis. Qualifications: Bachelor's degree and 10 years' relevant experience OR Associate's degree plus 12 years' experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in the physical/hard sciences, or other science disciplines with a substantial computational component may be considered if it includes a concentration of coursework in advanced mathematics and/or computer science. TS/SCI with polygraph is required. Job Posted by ApplicantPro

Insight Global is seeking a Bilingual Data Scientist/AI Engineer for one of our clients to sit in Denver, CO. This person will be joining a team who is focused on implementing AI for enhancing customer engagement and business usage. This person will work on 5-6 projects at once and be responsible for contributing to designing and developing different AI models for different uses. For example, a current project includes a model serving as a real-time coaching tool for call center agents. This person will spend their time creating models, fine-tuning, leading the team and working closely with the VP and SVP of the group. The current project is implementing new languages for the model to respond to. The team has a daily stand up to start the day and discuss the status of the project. The day would consist of 20% of time in meetings and 80% of time coding using Python to prompt AI models. This role will be performed 5 days a week on-site in Denver, CO. The pay is between 40-45/hr. 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 ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements 0-2 years of experience as a Data Scientist Proficiency in Spanish Strong Python coding experience Familiarity with AI models

At Angi , we've had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need - and connecting pros with homeowners who have the jobs they want. Angi at a glance: Homeowners have turned to Angi for more than 300 million projects 1,000+ home service tasks covered 2,800 employees worldwide Why join Angi: Angi is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. About the role: Angi is seeking an exceptional Senior Data Scientist who can enable our transformation into a world-class online marketplace. The role is on our Data Science & Machine Learning team, tackling challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience. What you'll do: Model Development & Data Strategy: Lead development of predictive models and algorithms to improve our Service Professional product and operations. Success in these areas will impact user experience & engagement, retention, and sales conversion rates - critical metrics for business success. Model Deployment: Implement robust MLOps practices to ensure the seamless deployment and scalability of predictive models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Model Evaluation: Develop robust design of experiment and statistical frameworks to evaluate and measure the impact of your data science solutions. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, product managers, sales directors, and designers to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced data science techniques from both industry and academia. Who you are: You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 5+ years of experience in data science & machine learning, ideally within the tech industry & marketplace environments. You are an expert in machine learning and statistical model development and have experience designing experiments to evaluate and measure the impact of your models. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits: The salary band for this position ranges from $150,000 to $220,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Retirement plan with company match (401K) and parental leave benefits The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote #BI-Remote

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Our client is seeking a Data Engineer to join their team! This position is located in Denver, Colorado. Perform data pipeline development and maintenance Build ETL processes from various sources into Snowflake, Azure, and Fabric Build views and monitor pipelines to ensure they run smoothly Design new data structures and explore how to leverage new tools or platforms Create proof-of-concept models and ensure data is organized for easy access and analysis Ensure proper data governance, security, and access control to create a comprehensive dataset Desired Skills/Experience: 3+ years of hands-on experience in data engineering, including designing, building, and maintaining data pipelines and architectures Hands on experience in both Python and SQL Proficient in ETL processes and a cloud technology such as: Databricks, Redshift, Snowflake, Fabric Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $110,000 - $113,000+. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Talent Navigation Experts is a boutique staffing firm in Denver, delivering all of your recruiting needs. We're more than just headhunters; we provide best-in-class service for both Denver companies and the top talent they want to recruit. Job searches can be difficult, both for companies and candidates. At Talent Navigation Experts, we guide Denver companies through the recruiting process with a customized staffing model built just for them. Quite simply, we bring great companies and great candidates together. Job Description About the Role: Our enterprise-level client, based in Denver, CO is a leading Oil and Gas producer who is committed to reducing its carbon footprint and working toward the use of more sustainable fuel resources. They are seeking a Data Scientist to join the team full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great pay, bonus, and benefits. Qualifications Required Skills: 5+ years in Data Science. Strong Python coding/scripting Skills. AWS CI/CD exposure. Ability to build models that can drive value of data. Deploy the data into AWS environment. Additional Information About the Company: This enterprise-level arm of one of the largest Oil and Gas companies in the world is working hard, through new technology, to reduce its carbon footprint worldwide, focusing on more sustainable energy resources like Solar, Wind, and Hydrogen power. This is an incredible opportunity to join a group focused on bleeding-edge technology. They offer a great salary, incredible bonus structure, and 401k match. Compensation Range (pending experience): $130-168k plus a strong bonus and top tier 401k match Talent Navigation Experts is an Equal Opportunity/Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity employer. All your information will be kept confidential according to EEO guidelines.

Job Title: Data Scientist/Engineer (TS/SCI) Job Description We are seeking a motivated Data Scientist/Engineer who is eager to tackle challenging problems and contribute to the development of advanced AI/ML algorithms. You will work across various disciplines including large language models, natural language processing, and time-series predictive analytics. Join our team of accomplished researchers and software developers who are ready to mentor and share their expertise. Responsibilities * Support the development of AI/ML algorithms. * Engage in large language models and natural language processing projects. * Work on time-series predictive analytics. * Collaborate with a team of researchers and software developers. Essential Skills * Proficiency in data science techniques and methodologies. Additional Skills & Qualifications * A willingness to learn and engage with new challenges. Work Environment You will work within a collaborative environment alongside skilled researchers and developers who are passionate about sharing their knowledge and expertise. Job Type & Location This is a Permanent position based out of Aurora, CO. Pay and Benefits The pay range for this position is $100000.00 - $240000.00/yr. Comprehensive medical/vision/dental insurance packages Company contributions to qualified HSA accounts 401k retirement plan with industry leading company contributions 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events 13 paid holidays Upfront tuition assistance for approved degree programs Annual bonus program based on company and employee performance Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance 4 weeks paid Parental Leave Employee assistance program (EAP) Workplace Type This is a fully onsite position in Aurora,CO. Application Deadline This position is anticipated to close on Jan 22, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************