Senior data scientist jobs in Westminster, CO

About the Role: We're building a large-scale synthetic data generation engine to produce realistic observability datasets - metrics, logs, and traces - to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data. 🧠 What You'll Do \t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured). \t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection. \t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries). \t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch. \t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets. \t•\tOptimize for scale and reproducibility using Docker containers. ✅ Who You Are \t•\tStrong programming skills in Python. \t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry). \t•\tSolid understanding of distributed systems metrics and log structures. \t•\tExperience building data pipelines or synthetic data generators. \t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models. 💸 Pay $50 - 75/hr depending on experience Remote, flexible hours Project timeline: 5-6 weeks

About the role We are looking for a Senior Data Scientist to join our team and be responsible for measuring, understanding, and helping optimize Coalition's insurance business. You will use analytics, experimentation, and modern statistical techniques to help us understand and improve our cyber insurance customer experience in order to grow our revenue in a safe and efficient manner. This role will partner closely with key product, engineering, and insurance stakeholders to identify emerging trends, prioritize opportunities, and translate complex data into clear, actionable strategies that influence product and operational roadmaps. Responsibilities Lead cross-functional analytics projects that uncover insights and optimization opportunities across the end-to-end customer journey. Design and analyze experiments; establish best practices for test design, power, guardrails, and interpretation. Define, document, and maintain core funnel metrics; build automated dashboards and reporting used by leadership. Analyze disparate data sources and synthesize findings into clear narratives with recommended actions. Develop data models and scalable analytical workflows that improve reliability, repeatability, and time-to-insight. Influence product and revenue leadership with data-backed recommendations and OKR tracking. Mentor junior analysts/scientists and contribute to team best practices, code quality, and documentation. Skills and Qualifications 6+ years in analytics or data science with demonstrated product or revenue impact. Expert SQL, including complex modeling, performance optimization, and clear documentation. Proficiency in Python or R for analysis, experimentation, and reproducible workflows. Strong grasp of statistical methods: hypothesis testing, experiment design, causal thinking, and interpretation. Experience with BI tools such as Looker or Tableau; ability to build reliable, executive-ready dashboards. Excellent communication and stakeholder management; ability to translate technical work for non-technical audiences. Bonus Points Exposure and usage of AI Assisted coding IDEs like Cursor or Github Copilot Domain experience in insurance, insurtech, fintech, or adjacent regulated industries. Familiarity with Looker, Amplitude, Google Analytics, Marketo, Salesforce, Segment, or Zuora. Experience with analytics workflow tools such as dbt or Airflow. Exposure to causal inference methods and quasi-experimental designs. Compensation Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $134,700/year in our lowest geographic market up to $198,475/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed. Perks 100% medical, dental and vision coverage Flexible PTO policy Annual home office stipend and WeWork access Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)! Competitive compensation and opportunity for advancement

**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Senior Marketing Data Scientist to define and drive our data science endeavors for Indeed's Marketing organization.The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day. As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing. + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Computer Science, Mathematics, Statistics + 7+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while engaging across teams + A deep understanding of machine learning, statistical modelling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization + Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) **Salary Range Transparency** US Remote 154,000 - 224,000 USD per year Austin Metro Area 154,000 - 224,000 USD per year NYC Metro Area 171,000 - 247,000 USD per year Seattle Metro Area 164,000 - 239,000 USD per year San Francisco Bay Area 180,000 - 260,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. 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To request an accommodation, please visit ********************************************** If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (******************************** **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** **46205** **The deadline to apply to this position is [12/5/2025]. Job postings may be extended at the hiring team's discretion based on applicant volume.** It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Reference ID: 46205

Start the Best Work of Your Career at Boom At Boom, data is more than numbers-it's the lifeblood that fuels supersonic innovation. We're building Symphony, the first purpose-built jet engine for sustainable supersonic passenger flight, and every test, every model, every decision depends on extracting the right insights from complex datasets. As a Data Scientist at Boom, you'll embed directly with engineers and test teams, turning raw, noisy data into mission-critical insights. From developing pipelines that visualize test results on the fly to architecting cloud-based ETL workflows, you'll shape how Boom makes decisions at Mach speed. If you thrive at the intersection of statistics, software, and engineering-and want to see your work directly influence the future of flight-this role is for you. Role Overview * Collaboratively plan, develop, and deliver customized data analyses that lead to data driven and actionable results * Develop high quality software tooling that stitches together the data fabric at Boom. This includes planned code requirements, source control, automated tests and deployment workflows * Support real-time data collection and visualization for test events * Design, build and deploy ETL pipelines feeding into cloud storage solutions * Approach problem-spaces at Boom with a hypothesis driven, scientific mindset. Turn qualitative observations into quantitative data points with error bars. Back up results with statistical reasoning. Extract meaning from complex, noisy datasets. Combine heterogenous datasets in useful ways * Employ tried and true statistical, artificial intelligence, machine learning and numerical methods in relevant use cases to unlock relationships between data and systems. Know when to push the envelope and deploy state-of-the art methods when conventional methods fall short The Ideal Candidate * Strong background in statistics, machine learning and software development; particularly in noisy, empirical datasets requiring wrangling, normalization, and tidying * Proficient in writing high quality software tooling, particularly in Python and MATLAB. Deep familiarity with industry standard numerical computing toolsets such as scipy, numpy, pandas or Mathworks Statistics and Machine Learning Toolbox * History of collaborative projects embedded in technical domains, especially in scientific or engineering spaces. Desire to embed themselves in high-stakes environments where data outputs have influence over mission success or failure * Background in data classification, clustering and data driven modeling. You should have experience in identifying and utilizing the appropriate machine learning techniques given parameters of the problem and data * Familiarity with common, conventional high density data storage formats such as: parquet, avro, HDF5, and net CDF; as well as in-transit data formats such as arrow, protobuf, and ethernet based formats * Demonstrates a strong work ethic and ambition, complemented by effective collaboration skills in a team setting * Excels in a high-energy, independent, and challenging work environment What Will Set You Apart * Experience in systems programming languages, particularly Rust or Go * Designing systems for anomaly detection * Prior work with time series analysis, real time data visualization, or databases * Masters or Doctorate in a Data Science field, or a proven track record and portfolio Compensation * P3 Level - Typically 5 - 10 years of experience - Base salary range: $118,000 - $149,000 * P4 Level - Typically 10 - 15 years of experience - Base salary range: $140,000 - $177,000 Actual compensation will vary based on factors including, but not limited to, location, experience, and performance. The range listed is just one component of Boom's total rewards package. Other elements may include long-term incentives/equity, flexible PTO, and a suite of progressive benefits designed to support our employees' well-being and growth. There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active. ITAR Requirement To conform to U.S. Government aerospace technology export regulations (ITAR and EAR), applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about ITAR here. Boom is an equal opportunity employer and we value diversity. All employment is decided on the basis of qualifications, merit and business need. Want to build a faster future? Come join Boom.

As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove's phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating expenses and fraud losses. Over 1,000 enterprise customers use Prove's platform to process 20 billion customer requests annually across industries, including banking, lending, healthcare, gaming, crypto, e-commerce, marketplaces, and payments. For the latest updates from Prove, follow us on LinkedIn. Prove is driving the future of digital identity. We are looking for Provers who know how to make an impact. We're talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smart but natural curiosity and tenacity. Teamwork is also important to us - we work together and play together. Prove has big plans, and we're excited about the future. If this sounds like the place for you - come join our team! Title: Senior Data Scientist Department: Engineering & Data Reports To: Senior Manager, Data Science FLSA Status: Exempt Location: Denver, CO Job Summary We are seeking a Senior Data Scientist to play a critical role in building the future of digital identity. This pivotal role requires a strong blend of expertise in statistical analysis and applied machine learning, coupled with practical experience in production-oriented workflows. You will build models, generate insights, and proactively collaborate with Machine Learning Engineers, Engineers, and Product to ensure models are production-ready, effectively monitored, continuously improved, and meet the needs of the business. Key Responsibilities Develop, validate, and tune statistical and machine learning models that solve complex business problems. Partner with engineers to ensure models are designed with production deployment in mind. Using robust statistical methodologies, design experiments and proactively evaluate models for drift, accuracy, and reliability. Build and maintain dashboards that proactively monitor product efficacy and distribute key insights across product and customer domains. Collaborate with ML engineers on deployment pipelines, APIs, and infrastructure. Provide insights and business recommendations based on model performance in production and communicate results clearly to both technical and non-technical stakeholders. Identify opportunities for model improvements that drive up-sell, revenue growth, and cost reduction. Mentor team in best practices for applied ML and production readiness. Qualifications & Experience 5+ years of experience applying machine learning and statistics to business problems. Master's or PhD in Statistics, Computer Science, Data Science, or related field (or equivalent experience). Prior exposure to production ML environments and workflows. Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow). Strong background in statistical methods (supervised/unsupervised learning, classification models, etc.), experimental design, and data visualization (Looker) and storytelling. Strong proficiency in SQL (Snowflake) with an ability to work with raw data and collaborate with data engineering teams to optimize data pipelines. Proficiency with cloud platforms (AWS). Solid understanding of APIs, model deployment processes, and monitoring practices. Familiarity with other programming languages such as R, Java, and Go. Excellent communication skills with ability to bridge technical and business contexts. Strong problem-solving and proactive ownership mindset. Experience working in cross-functional teams with engineers, product managers, and business leaders. Ability to balance quick iterations with building long-term scalable solutions. Comfortable working in ambiguity: turning nebulous problems into concrete solutions and analyses. This position description should not be considered the final description of the position. The position description is not intended to be an all-inclusive list of duties and standards of the positions. It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate's capabilities and changing business conditions. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. The anticipated salary range for this role is $145,000 - $160,000 plus variable commission / company bonus. Offered salary will be determined by the applicant's education, experience, knowledge, skills, geo-location and abilities, as well as internal equity and alignment with market data. Benefits & Perks for FTE Provers: Competitive salaries & Bonus Plan (for eligible roles) and Equity Plan Modern Health for financial, mental, and physical wellness 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices) Unlimited Vacation and Flexible hours Comprehensive medical benefits for you and your family ❤️ Emotional & Physical Wellness - Access to wellness services (EAP & Prove Well-Being Reimbursement) Bottomless snacks & beverages for certain office locations Daily GrubHub stipend for lunch if coming into the office (US Offices) A great place to work and connect with other talented Provers like yourself! Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Prove we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Equal Opportunity Employment: Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics Privacy & Data Protection: When you are applying for a job at Prove, we collect and use your personal information in the job application process. To understand more about how Prove uses your personal information, please see our Recruitment Privacy Policy on our website.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Do you excel at working cross-functionally to achieve common goals? Would you describe yourself as collaborative, analytical, strategic, and data-driven? If so, you could find a home on the Operational Analytics & Insight (OAI) team at Spectrum. At Spectrum, we keep customers connected across our 41-state footprint. Our Operational Analytics & Insight team provides the measurement, insights and recommendations that inform our digital strategies. By helping answer critical questions about the customer experience, sales, and operations, this team plays a vital role in delivering the exceptional services and experiences Spectrum is known for. BE PART OF THE CONNECTION As a Senior Data Scientist, AI Engineering, on the Operational Analytics & Insights team, you'll work in a fast-paced, collaborative environment to develop data-driven solutions to Spectrum's business problems. You'll have the unique opportunity to leverage and work with cutting-edge AI technologies, including real-time transcriptions and other advanced AI applications. You'll be empowered to think of new approaches, use analytical, statistical, and programming skills to analyze and interpret data sets, and apply your AI expertise at scale. This role offers an excellent opportunity to lead projects, drive innovative solutions, and further advance your skills and career with Spectrum, all while making a significant impact on our operations and customer experiences. WHAT OUR SENIOR DATA SCIENTISTS ENJOY MOST * Planning and leading the complete analytics life-cycle for problem solving, including: requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization * Leveraging knowledge in analytical and statistical algorithms to assist stakeholders in improving their business * Leading large-scale exploratory data analyses for new data sources or new uses for existing data sources * Visualizing and reporting data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders and explain the importance of patterns in the data. * Planning effectively to ensure analytics products are flexible, modular, and contain reusable code base You'll work in a dynamic office environment. You'll excel in this role if you are a self-starter who can work independently as well as in a team. If you have a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments. WHAT YOU'LL BRING TO SPECTRUM Required Qualifications * Experience: * Data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer - 5+ Years; * Programming Experience - 5+ Years * Education: * Bachelor's degree in computer science, statistics, or operations research, or equivalent combination of education and experience * Skills: * Proficiency in Python and SQL * Experience with Large Language Models (LLMs) (finetuning, retraining, and prompt engineering) * Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Transformers for building and deploying models * Familiarity with advanced AI techniques such as Retrieval-Augmented Generation (RAG), vector databases, LLM integration for enhanced information retrieval and generation, GPT and BERT * Experience in working with text data including Natural Language Processing (NLP) techniques such as tokenization, lemmatization, sentiment analysis, text classification, topic modeling, and entity recognition * Expertise in data extracting, transforming, and loading (ETL) * Demonstrated analytical and problem solving skills * Familiarity with the properties of the major families of machine learning techniques * Abilities: * Work cross-functionally to solve complex problems * Perform involved and independent research and analysis * Maintain confidentiality and appropriately handle sensitive information * Hybrid Schedule: Four in-office days weekly Preferred Qualifications * Experience: * One or more scripting, analysis, or ETL languages and ability to rapidly learn new languages or techniques * Large data sets and the tools to obtain, transform, and store data on Big Data and streaming services * Distributed computing tools such as Hadoop or Map/Reduce * Skills: * Designing and developing AI solutions using common industry cloud platforms such as Microsoft Azure ML, Databricks, AWS, Redshift, or Fabric SPECTRUM CONNECTS YOU TO MORE * Dynamic Growth: The growth of our industry and evolving technology powers our employees' careers as they move up or around the company * Learning Culture: We invest in your learning, and provide paid training and coaching to help you succeed * Supportive Teams: Be part of a strong community that gives you opportunities to network and grow, and wants to see you succeed Apply now, connect a friend to this opportunity or sign up for job alerts! BDA308 2025-60714 2025 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. The base pay for this position generally is between $88,330.00 and $156,530.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.

* 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 three (3) years of relevant experience and a Bachelor's degree or five (5) 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 Compensation Range: $49,977.51 - $109,950.52

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines. + Initiative and ability to independently explore and research novel topics and concepts as they arise. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . 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As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/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.

Matrix has been named a Zweig Group 2025 Best Firm to Work For! Matrix Design Group, Inc is actively hiring for an in-office Data Scientist position in our San Antonio, Denver, Colorado Springs or Phoenix offices. As an employee-owned company we are committed to fostering, cultivating, and preserving a culture of diversity, respect, and excellence. We have a friendly, collegial, collaborative atmosphere and offer a full range of benefits including medical, dental, vision, disability, and life insurance; holiday, vacation, and sick leave; training and education; 401(k) and an Employee Stock Ownership Plan (ESOP). We strive to employ highly motivated people capable of creatively applied problem-solving skills who desire to advance personally and professionally. Salary Range: $90,000.00 to $110,000.00 Annually. Salary will be dependent upon experience. Location: San Antonio, Denver, Colorado Springs or Phoenix. (Must be willing to work a hybrid schedule) SUMMARY: Matrix seeks a driven individual to provide Data Science and Business Intelligence support to the firm as part of our Advanced Solutions Division. Support to Advanced Solutions is often related directly or indirectly to the Department of Defense and will include data collection and analysis, leveraging various programming languages to meet client needs, researching and writing unique reports. It may also include data management, exposure to cloud platforms, the use of APIs, and other tasks as assigned. ESSENTIAL FUNCTIONS: Support continuous process improvement and business process reengineering projects through focused application of sound data science, data analysis, and mathematical principles, to include process mapping, data collection, analysis, & visualization Support project execution to include the development of technical documents and presentations and contributing to other project deliverables Support project execution with statistical and other technical skills, to include but not limited to: statistical analysis, simulation, modeling, machine learning, artificial intelligence, or other methods to analyze information and develop practical solutions to business problems; digital dashboard construction, linear regression, parameter estimates, connection of data silos, and process automation Support proposal development by providing technical content and coordinating with others to incorporate the input and feedback of both clients and team members Meet with clients and their representatives as an individual or part of a team to present results, explain complex technical and/or statistical concepts, resolve issues, answer questions, and maintain positive, constructive relations Research areas or issues as assigned and write formal and informal reports of varying lengths focused on summarizing information or persuading readers to support objectives COMPETENCIES Proficiency and demonstrated ability to work independently in statistical analysis, simulation, modeling, machine learning, artificial intelligence, or other methods to analyze information and develop practical solutions to business problems Proficiency in programming tools and languages, to include SQL, Python, R, and APIs Proficiency in data visualization tools (e.g., Power BI, Tableau, R Shiny, and others) Well-versed in use of the Microsoft Office suite of products, to include Power Platform and SharePoint Familiarity with the Department of Defense (DoD) and the Department of the Air Force (DAF) Ability to harness the above in the scraping of PDFs or web for relevant information Strategic thinker with exceptional communication skills (written and oral) and presentation skills, including the ability to synthesize and distill complex topics into concise reports/presentations Possess the ability to explain complex technical information in a manner comprehensible to non-technical audiences Ability and willingness to travel to project sites and other facility offices EDUCATION AND EXPERIENCE: Graduate degree in data science, statistics, operations research, engineering, or related field of study 4 or more years of relevant experience in data science, data management, and/or data analysis, to include internship(s) Valid driver's license, in conjunction with successfully passing the Company's MVR screening Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Physical Demands: While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is occasionally required to stand; walk and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 10 pounds. The noise level in the work environment is usually moderate. Matrix Design Group, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, gender, color, religion, sex, national origin, or protected veteran status, and will not be discriminated against based on disability. Any applicant with a qualifying physical or mental disability who believes they require reasonable accommodation for any part of the application process should contact us at ************ for assistance. How to Apply: Please apply online at ****************************************

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

Data ScientistLOCATIONAurora, CO 80014CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a curious and innovative Data Scientist to join our team and help transform data into actionable insights. In this role, you will use advanced analytics, machine learning models, and statistical methods to uncover trends, solve complex problems, and support strategic decision-making. Collaborating with cross-functional teams, you will analyze large datasets, develop predictive models, and communicate findings to drive business success. If you are passionate about using data to create impactful solutions and thrive in a dynamic, fast-paced environment, we encourage you to apply! *** 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 Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data Engineer, Business Intelligence Analyst, Quantitative Analyst, Research Scientist, Predictive Analytics Specialist, Computational Scientist, etc.DEGREE (Level Desired) Bachelor's DegreeDEGREE (Focus) Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Information Systems, Operations Research, Physics, Computational Biology, etc.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 Analyze large datasets Build predictive models Design data-driven solutions Present insights to stakeholders Clean and preprocess raw data Collaborate with cross-functional teams REQUIRED SKILLS Proficiency in Python or R Expertise in machine learning Data visualization skills Statistical analysis SQL querying Experience with big data tools DESIRED SKILLS Knowledge of deep learning frameworks Familiarity with cloud platforms Experience with A/B testing Proficiency in natural language processing Understanding of time-series analysis Expertise in optimization algorithms 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.

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

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

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 2 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 3 years' relevant experience OR Associate's degree plus 5 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

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

Our client is seeking a Senior Data Scientist to join their team! This position is located in Greenwood Village, Colorado. Analyze, model, and interpret complex datasets to extract actionable insights Design and implement advanced statistical and machine learning models based on organizational needs Collaborate closely with cross-functional IT and data engineering teams to support data-driven decision-making Develop innovative methods for integrating large-scale data, with a focus on information technology use cases Ensure research findings and analytical outputs are digestible and effectively communicated to stakeholders Translate data insights into strategic plans that deliver measurable business value Follow and apply strict company and industry guidelines related to data governance, compliance, and privacy Build and maintain strong working networks with internal teams and external subject matter experts Utilize advanced data mining techniques such as clustering, regression, decision trees, SVMs, and more Employ collaborative filtering, k-nearest neighbors, market basket analysis, and matrix factorization approaches as part of solution development Work with cutting-edge technologies, high-performance computing environments, and proprietary software Desired Skills/Experience: 10+ years of professional experience in data science, analytics, machine learning, or a related field Advanced proficiency in data mining techniques including clustering, regression, decision trees, and support vector machines Strong background in statistical analysis, predictive modeling, and algorithm development Experience working with complex data systems and IT-focused analytical environments Excellent written and verbal communication skills, with the ability to simplify and present complex findings Demonstrated experience adhering to strict data privacy, governance, and security standards Proven ability to work collaboratively as part of multi-disciplinary teams Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position is between $58.00 and $84.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, 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. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **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:** 12/02/2025 *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. \#LI-Remote \#LI-AP4 _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 (***************************************************************************************************************************