Senior data scientist jobs in Thornton, CO - 191 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.

Job Title: Sr. Data Engineer-ETL Duration: Long-term Main Skill: Over 10+ years of experience in the Software Development Industry. We need data Engineering exp - building ETLS using spark and sql, real time and batch pipelines using Kafka/firehose, experience with building pipelines with data bricks/snowflake, experience with ingesting multiple data formats like json/parquet/delta etc. Job Description: About You You have a BS or MS in Computer Science or similar relevant field You work well in a collaborative, team-based environment You are an experienced engineering with 3+ years of experience You have a passion for big data structures You possess strong organizational and analytical skills related to working with structured and unstructured data operations You have experience implementing and maintaining high performance / high availability data structures You are most comfortable operating within cloud based eco systems You enjoy leading projects and mentoring other team members Specific Skills: Over 10 years of experience in the Software Development Industry. Experience or knowledge of relational SQL and NoSQL databases High proficiency in Python, Pyspark, SQL and/or Scala Experience in designing and implementing ETL processes Experience in managing data pipelines for analytics and operational use Strong understanding of in-memory processing and data formats (Avro, Parquet, Json etc.) Experience or knowledge of AWS cloud services: EC2, MSK, S3, RDS, SNS, SQS Experience or knowledge of stream-processing systems: i.e., Storm, Spark-Structured-Streaming, Kafka consumers. Experience or knowledge of data pipeline and workflow management tools: i.e., Apache Airflow, AWS Data Pipeline Experience or knowledge of big data tools: i.e., Hadoop, Spark, Kafka. Experience or knowledge of software engineering tools/practices: i.e., Github, VSCode, CI/CD Experience or knowledge in data observability and monitoring Hands-on experience in designing and maintaining data schema life-cycles. Bonus - Experience in tools like Databricks, Snowflake and Thoughtspot

Monstro is an AI-native fintech platform reimagining how people and institutions manage money. We're building a modern foundation for financial decision-making-combining intelligence, automation, and elegant design to help users make smarter choices with confidence. Our team includes experienced builders from leading fintech, wealth management, and technology companies, united by a shared goal: to create a category-defining product that transforms how financial insight is delivered and acted on. About the Role We're looking for an experienced Senior Data Scientist join our founding team and help design and build the intelligence at the heart of our platform. You'll develop the models that transform complex, interconnected financial data into personalized insights and recommendations that help users take control of their financial lives. This role sits at the intersection of cutting-edge ML research and real-world product impact-your work will directly shape how millions of people understand and act on their finances. What You'll Do Personalization & Recommendation Systems Design and build recommendation systems that deliver tailored financial insights and next-best-actions to users. Develop models that learn from user behavior, financial patterns, and life events to surface relevant, timely recommendations. Balance personalization with diversity to help users discover opportunities they wouldn't find on their own. Predictive Modeling & Forecasting Build predictive models that anticipate user needs, identify risks, and surface opportunities across their financial landscape. Apply time-series techniques to forecast trends, detect anomalies, and model financial trajectories. Develop early warning systems that help users stay ahead of potential issues. Causal Inference & Experimentation Design and analyze experiments to measure the impact of product changes and model improvements. Apply causal inference methods-A/B testing, quasi-experimental designs, and observational techniques-to understand what drives outcomes and inform product strategy. Establish rigorous experimentation practices across the organization. NLP & Unstructured Data Extract insights from unstructured financial data-documents, communications, and text sources-using NLP techniques. Build models for entity extraction, classification, and semantic understanding that enrich our data assets and power intelligent features. Feature Engineering & Model Development Partner with Data Engineers to define and build features that power ML models. Work with event-driven data pipelines and feature stores to ensure models have access to real-time, high-quality features. Iterate rapidly on model architectures, balancing accuracy with interpretability and latency requirements. Model Deployment & Production ML Collaborate with ML Engineers and Data Engineers to deploy models to production. Design for scale, monitoring, and graceful degradation. Establish feedback loops that enable continuous model improvement based on real-world performance. Mentorship & Collaboration Mentor junior data scientists and analysts, raising the bar for scientific rigor across the team. Collaborate with product managers, designers, and engineers to translate business problems into data science solutions. Communicate complex findings to technical and non-technical stakeholders. What We're Looking For 7+ years of experience in data science, machine learning, or a related quantitative field Advanced degree (MS or PhD) in Statistics, Computer Science, Economics, or a related quantitative discipline Strong proficiency in Python and SQL Deep expertise in machine learning-supervised and unsupervised methods, deep learning, and model evaluation Experience building recommendation systems or personalization engines Solid foundation in statistics, experimental design, and causal inference Experience with time-series analysis and forecasting techniques Familiarity with NLP techniques and working with unstructured data Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) Hands-on experience with Apache Spark for large-scale data processing Understanding of production ML-model deployment, monitoring, and iteration Strong communication skills with the ability to translate technical concepts for diverse audiences Genuine curiosity and passion for using data to solve meaningful problems Nice to Have Background in fintech, wealth management, or financial services Experience with reinforcement learning or multi-armed bandits for optimization Familiarity with Apache ecosystem tools (Kafka, Flink, Airflow) Experience with feature stores and real-time feature serving Understanding of financial data, regulations, and privacy requirements Experience deploying models within enterprise or on-premise environments Note: This role will be hybrid for those in the NYC metro or remote for those in the Denver metro area (but with the expectation of periodic in-person collaboration). For exceptionally strong candidates, we are open to considering other US locations. Please note that final compensation will be based on factors including role level, candidate experience, skills, performance, and internal equity. Compensation Range (New York City): $182,000 - $225,000 Compensation Range (Denver Metro): $159,000 - $198,000 Ready to Build With Us? If you're excited to contribute to a high-bar team building something meaningful, we love to hear from you!

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

A client of Insight Global is a major telecommunications firm providing connectivity services to millions of customers. As part of the Network Analytics team, the Sr Data Scientist role is crucial in executing advanced analytic techniques to enhance the security and operational efficiency of a client of Insight Global's enterprise networks. This position focuses on identifying anomalies that may affect employee experience (loss of connectivity, latency, etc.) and detecting insider threats or other malicious activities. The role requires expertise in statistical analysis and machine learning, utilizing generative AI to build data-driven, automated systems that enhance operational efficiency. Additionally, the position demands the ability to prioritize efforts, synthesize actionable insights, and effectively communicate findings to audiences with diverse agendas and varying levels of technical expertise. The Sr Data Scientist will manage the entire analytics life cycle, including algorithm productionalization, model validation and prototyping, data exploration and grooming, problem formulation, and requirements gathering. This role involves surveying diverse data sources-such as external APIs, flat files, relational databases, and distributed file systems-to identify analytic relevance. The Sr Data Scientist will interpret and synthesize results to drive actionable changes within the organization, collaborate across teams to integrate analytic products into production architectures, and develop, evaluate, and communicate courses of action. Additionally, the position requires teaching and explaining analytic techniques and tools to business-intelligence, data, and analytics professionals with varied backgrounds. This position will pay between 30-40 LPA based on experience. 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 dvanced proficiency in analytics languages (Python preferred; R, Matlab) and compiled languages (Scala, Java, C++). Expertise in quantitative analysis, including model interpretation, causality, and multicollinearity. Experience with Big Data tools (Spark), relational databases, and data architecture concepts (data warehouses, data marts). Solid foundation in modeling processes using Machine Learning and Graph/Network Analytics, plus data preprocessing and exploratory analysis. Demonstrated ability to continuously learn, adapt, and share knowledge with others. Experience with Linux-based operating systems Knowledge of other relevant techniques such as text analysis and text mining

REQUIRED QUALIFICATIONS * Develop and maintain ML models and pipelines. * Aggregate and visualize model results for internal and external audiences. * Conduct data exploration and ad hoc analyses using SQL and Python. * Perform feature engineering and build ML models, including training and validation. * Present insights and results to technical teams and senior leadership. * Design, monitor, and test production ML workflows on AWS in collaboration with the MLOps team. * Implement unit and integration tests to ensure production reliability and accuracy. * Contribute to best practices in model deployment, data quality, and cloud resource management. PREFERRED QUALIFICATIONS * Advanced proficiency in Python for data manipulation, feature creation, and analysis. * Demonstrated expertise in building and validating machine learning models, especially in Python. * Experience in big data technologies (e.g., Hadoop, Spark, Hive). * Deep understanding of data source integration and working with complex, raw datasets. * Excellent communication and cross-functional collaboration skills. EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or ************. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Location: Greenwood Village, CO, US Job Type: Date Posted: January 7, 2026 Pay Range: $70 - $90 per hour Similar Jobs * Data Scientist * IT Manager Data Scientist * Senior Data Scientist * Business Data Scientist III * Scientist II / Sr. Scientist

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.

* 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

Apply Data Scientist Department of Agriculture Food Safety and Inspection Service Data Analytics and Innovation Staff Apply Print Share * * * * Save * This job is open to * Requirements * How you will be evaluated * Required documents * How to apply This position is located within the Office of Planning, Analysis, and Risk Management (OPARM). OPARM is the FSIS centralized analytics group and tasked with integrating and analyzing relational data. The program also provides data visualization and analytics services to support FSIS decision-making, policy development, risk management, and strategic planning. Summary This position is located within the Office of Planning, Analysis, and Risk Management (OPARM). OPARM is the FSIS centralized analytics group and tasked with integrating and analyzing relational data. The program also provides data visualization and analytics services to support FSIS decision-making, policy development, risk management, and strategic planning. Overview Help Accepting applications Open & closing dates 01/14/2026 to 01/21/2026 Salary $106,437 to - $138,370 per year Salary will be determined based on duty station of selectee. Rates shown represent the Rest of the US locality pay table. Pay scale & grade GS 13 Locations 3 vacancies in the following locations: Fort Collins, CO Raleigh, NC Remote job No Telework eligible Yes-as determined by the agency policy. Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Permanent Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1529 Mathematical Statistics * 1550 Computer Science * 1560 Data Science Series Supervisory status No Security clearance Other Drug test No Position sensitivity and risk Moderate Risk (MR) Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number FSIS-26-DHA-12859840-DW Control number 854327700 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Career transition (CTAP, ICTAP, RPL) Federal employees whose job, agency or department was eliminated and are eligible for priority over other applicants. Clarification from the agency Applications will be accepted from any U.S. citizen. Direct Hire Authority will be used to fill these positions. Veterans' Preference and traditional rating and ranking of applicants does not apply to this vacancy. Duties Help * Perform data cleaning and visualization. * Perform trend analysis and algorithm development. * Develop new prescriptive analytics used in decision making. * Present alternate solutions to analytics and future concepts. * Develop statistical models and machine learning models. * Analyze outputs from analyses. * Perform quality checks on model and analysis output. * Develop recommendations for data integration. * Develop testing hypothesis. Requirements Help Conditions of employment * You must be a US Citizen or US National. * Males born after 12/31/1959 must be Selective Service registered or exempt. * Subject to satisfactory adjudication of background investigation and/or fingerprint check. * Successful completion of one-year probationary period, unless previously served. Refer to the Next Steps section for more information. * Direct Deposit: Per Public Law 104-134 all Federal employees are required to have federal payments made by direct deposit to their financial institution. * Successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit ************************** * False statements or responses on a resume or application can jeopardize employment and may be grounds for disciplinary action, including removal from Federal service. * If you are selected, you may need to complete a Declaration for Federal Employment (OF-306) prior to being appointed to determine suitability for Federal employment and to authorize a background investigation. Qualifications Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement including specialized experience and education, as defined below. For the GS-13 grade level: Applicants must have one year of specialized experience (equivalent to the GS-12 grade level) that demonstrates: * Using Python or R to extract, manipulate, and integrate information from relational databases. * Creating interactive reports or dashboards using programming languages and frameworks (e.g., Python, R, Qlik, or similar) * Leading technical initiatives, including planning, coding, testing, and deploying solutions that support organizational data and reporting needs. * Developing oral and written presentations communicating complex and technical analyses to inform, influence, and persuade a variety of audiences. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education Mathematical Statistics Series 1529 Basic Requirements: Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. or Combination of education and experience: at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education. Evaluation of Education: Courses acceptable toward meeting the mathematics course requirement of paragraphs A or B above must have included at least four of the following: differential calculus, integral calculus, advanced calculus, theory of equations, vector analysis, advanced algebra, linear algebra, mathematical logic, differential equations, or any other advanced course in mathematics for which one of these was a prerequisite. Courses in mathematical statistics or probability theory with a prerequisite of elementary calculus or more advanced courses will be accepted toward meeting the mathematics requirements, with the provision that the same course cannot be counted toward both the mathematics and the statistics requirement. Evaluation of Experience: The experience offered in combination with educational courses to meet the requirements in paragraph B above should include evidence of statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. Without other indications of statistical experience, work required in the processing of numerical or quantified information by other than statistical methods is not considered appropriate qualifying experience. Examples of such nonqualifying work include statistical clerical work; statistical drafting; calculation of totals, averages, percentages, or other arithmetic summations; preparation of simple tables or charts; or verification of data by simple comparison or proofreading. Click here for more information on this series: OPM Mathematical Statistics Series 1529 Computer Science Series 1550 Series Definition: This series includes professional positions which primarily involve the application of, or research into, computer science methods and techniques to store, manipulate, transform or present information by means of computer systems. The primary requirements of the work are (a) professional competence in applying the theoretical foundations of computer science, including computer system architecture and system software organization, the representation and transformation of information structures, and the theoretical models for such representations and transformations; (b) specialized knowledge of the design characteristics, limitations, and potential applications of systems having the ability to transform information, and of broad areas of applications of computing which have common structures, processes, and techniques; and (c) knowledge of relevant mathematical and statistical sciences. Basic Requirements: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions. Evaluation of Education: Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of computer science. Courses designed to provide an introduction to computer science techniques and methodologies, to problems of system design, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable. Click here for more information on this series: OPM Computer Science Series 1550 Data Science Series 1560 Basic Requirements: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. Click here for more information on this series: OPM Data Science Series 1560 Additional information Career Transition Assistance Plan (CTAP), Reemployment Priority List (RPL), or Interagency Career Transition Assistance Plan (ICTAP): Visit the OPM website for information on how to apply as a CTAP, RPL, or ICTAP eligible. To exercise selection priority for this vacancy, CTAP/RPL/ICTAP candidates must meet the basic eligibility requirements and all selective factors. CTAP/ICTAP candidates must be rated and determined to be well qualified (or above) based on an evaluation of the competencies listed in the How You Will Be Evaluated section. When assessed through a score-based category rating method, CTAP/ICTAP applicants must receive a rating of at least 85 out of a possible 100. Persons with disabilities who require alternative means for communication of program information (Braille, large print, audiotape, etc.) should contact: USDA's TARGET Center at ************ (voice and TDD). It is the policy of the Government not to deny employment simply because an individual has been unemployed or has had financial difficulties that have arisen through no fault of their own. To see more information visit CHCO Council. This announcement may be used to fill additional like vacancies should any occur in the announced duty location(s). Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. Your application, including the assessment questionnaire, will be reviewed to determine if you meet the qualification requirements and to determine if your resume supports the answers provided to the job-specific questions. Your resume must clearly support your responses to the questions addressing experience and education relevant to this position. You will be assessed on the following competencies (knowledge, skills, abilities, and other characteristics): * Technical Competence * Analytical Programming * Manages and Organizes Information * Oral Communication Note: If, after reviewing your resume and/or supporting documentation, a determination is made that you have inflated your qualifications and or experience, your score may be adjusted to more accurately reflect your abilities, or you may be found ineligible. Please follow all instructions carefully. Errors or omissions may affect your rating. Providing inaccurate information on Federal documents could be grounds for non-selection or disciplinary action up to including removal from the Federal service. Clicking the link below will present a preview of the application form; i.e. the online questionnaire. The application form link below will only provide a preview and does not initiate the application process. To initiate the online application process, click the "Apply" button to the right. To view the application form, visit: ******************************************************** Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required for your applicant package to be complete. Encrypted documents will not be accepted. Failure to submit required, legible documents may result in loss of consideration. Resume that includes: Personal Information: name, address, contact information; Education; Work Experience related to this position as described in the major duties including work schedule, hours worked per week, dates of employment; title, series, grade (if applicable); other qualifications. Resume cannot exceed 2 pages. * Your application may be disqualified if you include any of the information listed here: What should I leave out of my resume? EDUCATION: you must submit a copy of all relevant college transcripts. An unofficial copy is sufficient with the application if it includes your name and the necessary course information; however, if you are selected, you will be required to submit official transcripts prior to entering on duty. Education must have been successfully obtained from an accredited school, college or university. If any education was completed at a foreign institute, you must submit with your application evidence that the institute was appropriately accredited by an accrediting body recognized by the U.S. Department of Education as equivalent to U.S. education standards. There are private organizations that specialize in this evaluation, and a fee is normally associated with this service. For a list of private organizations that evaluate education, visit the NACES website. All transcripts must be in English or include an English translation. Surplus or displaced employees eligible for CTAP, RPL, or ICTAP priority must provide: proof of eligibility (RIF separation notice, notice of proposed removal for declining a transfer of function or directed reassignment to another commuting area, notice of disability annuity termination), SF-50 documenting separation (as applicable), current performance appraisal with rating of at least "Fully Successful" or equivalent, and your most recent SF-50 noting position, grade level, and duty location with your application per 5 CFR 330. How to Apply Help Please read the entire announcement and all instructions before you begin. You must complete this application process and submit all required documents electronically by 11:59p.m. Eastern Time (ET) on the closing date of this announcement. Applying online is highly encouraged. We are available to assist you during business hours (normally 8:00a.m. - 4:00p.m., Monday - Friday). If applying online poses a hardship, contact the Agency Contact listed below well before the closing date for an alternate method. All hardship application packages must be complete and submitted no later than noon ET on the closing date of the announcement to be entered into the system prior to its closing. Resumes must not exceed two pages. This agency provides reasonable accommodation to applicants with disabilities on a case-by-case basis; contact the Agency Contact to request this. Alternative Methods for Applying: If you are unable to apply using the internet, please fax your request for an application package along with your name and mailing address to HR: ************** To begin, click "Apply" and follow the instructions to complete the Assessment Questionnaire and attach your resume and all required documents. Please verify that documents you are uploading from USAJOBs transfer into the Agency's staffing system as there is a limitation to the number of documents that can be transferred. However, once in the Agency's staffing system, you will have the opportunity to upload additional documents. Uploaded documents must be less than 5MB and in one of the following document formats: GIF, JPG, JPEG, PNG, RTF, PDF, TXT or Word (DOC or DOCX). Do not upload Adobe Portfolio documents because they are not viewable. Please ensure your resume does not exceed two pages. Applicants who submit a resume that exceeds two pages will be removed from consideration. Our office cannot be responsible for incompatible software, your system failure, etc. Agency contact information Doug Welder Phone ************ Email *********************** Address Food Safety and Inspection Service 1400 Independence Ave SW Washington, DC 20250 US Next steps Your application will be reviewed to verify that you meet the eligibility and qualification requirements for the position prior to issuing referral lists to the selecting official. If further evaluation or interviews are required, you will be contacted. Log in to your USAJOBS account to check your application status. You must choose to turn on email notifications in your USAJOBS profile if you want to receive important email notifications that may impact your applicant experience (e.g. If you start an application and do not submit it prior to the closing date, USAJOBS will send an email reminder that the closing date is approaching and your application is in an incomplete status). Multiple positions may be filled from this announcement. As a condition of employment for accepting this position, you will be required to serve a 1-year probationary period during which we will evaluate your fitness and whether your continued employment advances the public interest. In determining if your employment advances the public interest, we may consider: your performance and conduct; the needs and interests of the agency; whether your continued employment would advance organizational goals of the agency or the Government; and whether your continued employment would advance the efficiency of the Federal service. Upon completion of your probationary period your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest. Under the Fair Chance Act, agencies are not allowed to request information about an applicant's criminal history until a conditional offer of employment has been made, except as allowed for access to classified information; assignment to national security duties or positions; acceptance or retention in the armed forces; or recruitment of a Federal law enforcement officer. An applicant may submit a complaint or any other information related to an organization's alleged noncompliance with the Fair Chance Act. The complaint must be submitted within 30 calendar days of the date of the alleged noncompliance. To make a Fair Chance Act inquiry or complaint, send an email with the appropriate information to *****************, subject line: Fair Chance Act. Fair and transparent The Federal hiring process is set up to be fair and transparent. Please read the following guidance. Criminal history inquiries Equal Employment Opportunity (EEO) Policy Financial suitability New employee probationary period Privacy Act Reasonable accommodation policy Selective Service Signature and false statements Social security number request Required Documents Help The following documents are required for your applicant package to be complete. Encrypted documents will not be accepted. Failure to submit required, legible documents may result in loss of consideration. Resume that includes: Personal Information: name, address, contact information; Education; Work Experience related to this position as described in the major duties including work schedule, hours worked per week, dates of employment; title, series, grade (if applicable); other qualifications. Resume cannot exceed 2 pages. * Your application may be disqualified if you include any of the information listed here: What should I leave out of my resume? EDUCATION: you must submit a copy of all relevant college transcripts. An unofficial copy is sufficient with the application if it includes your name and the necessary course information; however, if you are selected, you will be required to submit official transcripts prior to entering on duty. Education must have been successfully obtained from an accredited school, college or university. If any education was completed at a foreign institute, you must submit with your application evidence that the institute was appropriately accredited by an accrediting body recognized by the U.S. Department of Education as equivalent to U.S. education standards. There are private organizations that specialize in this evaluation, and a fee is normally associated with this service. For a list of private organizations that evaluate education, visit the NACES website. All transcripts must be in English or include an English translation. Surplus or displaced employees eligible for CTAP, RPL, or ICTAP priority must provide: proof of eligibility (RIF separation notice, notice of proposed removal for declining a transfer of function or directed reassignment to another commuting area, notice of disability annuity termination), SF-50 documenting separation (as applicable), current performance appraisal with rating of at least "Fully Successful" or equivalent, and your most recent SF-50 noting position, grade level, and duty location with your application per 5 CFR 330.

**_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 (***************************************************************************************************************************

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.

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

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.

Data Scientist / Cloud Software EngineerLOCATIONAurora, CO 80014CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are looking for a talented Data Scientist / Cloud Software Engineer to join our team and contribute to the development of innovative cloud-based solutions that leverage advanced data analytics. In this role, you will work on designing and building scalable cloud architectures while applying data science techniques to drive insights and decision-making. The ideal candidate will have a strong understanding of both cloud infrastructure and data analytics, with a passion for solving complex problems and transforming large datasets into actionable solutions. If you enjoy working in a dynamic environment where technology meets business impact, we encourage you to apply and help shape the future of our data-driven products and services. *** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. *** SIMILAR CAREER TITLESData Engineer, Cloud Data Scientist, Cloud Software Developer, Cloud Solutions Architect, Data Analyst, Cloud Architect, Machine Learning Engineer, Big Data Engineer, Cloud Platform Engineer, AI Engineer, ect.DEGREE (Level Desired) Bachelor's DegreeDEGREE (Focus) Computer Science, Data Science, Cloud Computing, Software Engineering, Information Technology, Statistics, Applied Mathematics, Artificial Intelligence, Information Systems, Electrical Engineering, Machine Learning, ect.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.POSITION RESPONSIBILITIES Design and implement cloud-based data solutions Build scalable data processing workflows Develop and maintain machine learning models Collaborate with cross-functional teams to deliver insights Ensure data security and compliance Document and communicate technical solutions REQUIRED SKILLS Proficiency in Python or Java Experience with cloud platforms like AWS or GCP Expertise in big data tools like Spark or Hadoop Familiarity with machine learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and NoSQL databases Ability to optimize and monitor cloud-based pipelines DESIRED SKILLS Familiarity with Infrastructure as Code (IaC) tools Knowledge of real-time data processing platforms Understanding of advanced statistical methods Experience with serverless computing models Knowledge of containerization tools like Docker or Kubernetes Ability to integrate machine learning models into production systems PLUG IN to CYMERTEK - And design your future... YOUR FOREVER CAREER STARTS HERE Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development. At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day. We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave. Ready to make your next move the best one? Join us and experience the difference. BENEFITS Excellent Salaries Flexible Work Schedule Cafeteria Style Benefits 10% - 401k Matching (Vested Immediately) Additional 401k Profit Sharing 30 days Paid Leave/Holiday (No Use or Lose!) The day off for your birthday Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) HSA/FSA AFLAC Long Term/Short Term Disability - 100% employee coverage. No cost to you. Life Insurance - 100% employee coverage. No cost to you. Additional Discretionary Life Insurance Paid Training No long, wordy reviews with tons of paperwork!!! Referral bonus program with recurring annual payments HOW TO APPLY Email us at ***************** or apply today: **************** Want to see what our employees think? Click here . EQUAL OPPORTUNITY EMPLOYER STATEMENT Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

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

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will develop automated analytics products and conduct sophisticated data analysis to address critical business and client questions. You will design, implement, and deploy advanced data science solutions across multiple domains, translating complex findings into actionable insights that improve clinical, operational, and economic outcomes. You will guide data scientists, lead the design of predictive, machine learning, and generative AI approaches, and ensure high-quality, scalable analytic solutions that support organizational objectives. Responsibilities: * Lead the design and implementation of advanced machine learning, generative AI, statistical modeling, and unsupervised learning approaches across structured and unstructured data. * Build and deploy scalable, automated data science products and reusable analytic assets across multiple projects and domains. * Analyze large-scale, high-dimensional datasets using Python, R, SQL, and distributed computing platforms to identify trends and actionable insights. * Apply deep expertise across end-to-end data science workflows, including data discovery, feature engineering, validation, and insight publishing. * Translate complex analytical outputs into clear dashboards, reports, and presentations for technical and non-technical audiences. * Make key analytic and architectural design decisions, define project goals based on strategic business needs, and own final solution outcomes. * Apply expert-level proficiency in programming languages and advanced analytics platforms, including cloud-based and distributed frameworks. * Lead code development and reviews, establish best practices, and mentor data scientists in advanced modeling and responsible AI usage. * Evaluate and adopt emerging tools, advanced frameworks, and generative AI technologies to continuously enhance analytical capabilities and workflows. * Partner with engineering and platform teams to support production deployment, monitoring, and lifecycle management of machine learning and generative AI models. * Implement responsible AI and model governance practices, including documentation, explainability, bias assessment, and validation standards. * Collaborate with cross-functional teams to integrate advanced analytics and AI solutions into products, workflows, and business processes. * Apply a solutions-oriented mindset to complex, multi-project initiatives and make autonomous decisions on data science deliverables aligned with enterprise objectives. Qualifications: * Relevant degree preferred. Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus. * 7 or more years of relevant experience required. * Proven ability to apply advanced modeling, forecasting, anomaly detection, and natural language processing required. * Demonstrated advanced knowledge of data science methodologies, statistical modeling, machine learning, and generative AI techniques required. * Strong understanding of Natural Language Processing (NLP) techniques, including text classification, sentiment analysis, information extraction, and Large Language Model (LLM)-based approaches required. * Expertise in programming languages such as Python, R, SAS, SQL, or similar tools required. * Knowledge of responsible AI principles, including model explainability, bias detection, fairness assessment, and ethical use of data. * Experience deploying, monitoring, and maintaining machine learning and generative AI models in production environments. * Experience implementing model governance practices such as documentation standards, version control, validation protocols, and audit readiness. * Experience working with cloud-based and distributed data platforms and modern analytics frameworks such as Databricks. * Strong analytical, problem-solving, communication, and presentation skills with the ability to convey complex concepts to non-technical audiences. * Experience guiding or mentoring data scientists. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: ****************************************** Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

The Senior Data Scientist will serve as a technical lead in the development of advanced analytical solutions. This role uniquely combines Generative AI innovation with Six Sigma operational rigor to drive measurable improvements across Spectrum's network and customer ecosystems. You will not only build models but also optimize the processes they inhabit to ensure maximum ROI and statistical stability. Key Responsibilities Generative AI Strategy: Lead the research and implementation of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to automate complex business workflows and enhance internal knowledge management systems. Operational Excellence (Black Belt): Apply DMAIC (Define, Measure, Analyze, Improve, Control) methodology to the data science lifecycle. Identify root causes of operational inefficiencies and deploy AI solutions to mitigate them. Advanced Modeling: Build, validate, and deploy high-impact predictive models (Churn, CLV, Propensity) using Python, PyTorch, and Scikit-learn. Process Optimization: Utilize Black Belt principles to reduce "waste" in data pipelines, improving model training speed and inference efficiency within Databricks/AWS. Stakeholder Storytelling: Act as a bridge between technical AI labs and executive leadership, translating complex neural network outputs into Six Sigma-validated business cases. Required Technical Skills GenAI Stack: Experience with LangChain, LlamaIndex, Vector Databases (Pinecone/Milvus), and fine-tuning open-source models. Data Engineering: Expert-level SQL and PySpark for grooming large-scale datasets. Statistical Control: Deep understanding of Design of Experiments (DoE), hypothesis testing, and Statistical Process Control (SPC) to monitor model drift and performance. MLOps: Proficiency in versioning and deploying models in cloud environments (Azure/AWS). Education & Certifications Education: Master's or PhD in a quantitative field (Statistics, CS, Engineering). Certification: Lean Six Sigma Black Belt or Six Sigma Black Belt( Experience: 5-7+ years of experience in a data-driven environment with a proven track record of leading AI initiatives

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.

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 (***************************************************************************************************************************