Overview Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions. As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities - You will acquire the data necessary for your project plan and develop usable data sets for modeling. You’ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers. - You will evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. - You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You’ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. - You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations. - You will embody our culture and values. Qualifications Required/minimum qualifications - Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Other Requirements - Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties. Additional or preferred qualifications - Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. - 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. #ISEngineering #WSS Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Role Description Edgewater Technical Associates is seeking qualified candidates for an Environmental Scientist (Statistical Analysis) opportunity. - Project Duration: Through August, with potential support into September for agency comments - Level of Effort: Approximately 135 hours - Location: Fully remote Position Summary: - Provide a Resource Conservation and Recovery Act (RCRA) statistical analysis of a Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) for groundwater monitoring well sampling data. - The statistician will perform RCRA statistical analysis of groundwater monitoring well sampling results for inclusion in a biennial report applicable to the collected data years. - The statistician will evaluate trends, compare wells, test for distributions, prepare control charts, recommend new detection monitoring limits (cumulative sum [combined control charts], or nonparametric limit [maximum value]), as appropriate per ASTM D6312 and as agreed upon in the Data Analysis Plan, and calculate false positive rates in the vicinity of the facility. Qualifications - Bachelor’s degree in Statistics, Environmental Science, Mathematics, or related field (advanced degree preferred) - Experience performing statistical analysis on environmental or groundwater data - Familiarity with EPA and/or RCRA regulations is preferred - Strong experience with data visualization and trend analysis - Ability to interpret data and clearly communicate findings - Proficiency in statistical tools/software (e.g., R, Python, Excel, or similar) Requirements - United States Citizenship Benefits - Highly competitive salaries - Employee benefit packages structured to best suit your needs - Multiple individual and family benefit options including: - Paid time off - Medical, dental, life, vision, and disability insurance - Pre- and post-tax 401(k) retirement account with Company matching contributions - 100% vesting for eligible participants beginning DAY 1

Role Description Neolytix is seeking a senior healthcare professional to lead our Payer Contract Analytics practice on a fractional basis. This role combines business development, client leadership, and oversight of an offshore analytics team. The right candidate has deep experience in payer contracting and provider reimbursement, an existing network in the provider space, and wants a flexible engagement with meaningful upside tied to results. What You'd Do - Business Development - Develop pipeline through your network and targeted outreach - Lead discovery conversations and scope engagements - Develop proposals and close deals - Client Leadership - Serve as the senior relationship owner on engagements - Present findings and guide negotiation strategy - Identify expansion opportunities - Delivery Oversight - Direct methodology and quality standards for an offshore analytics team - Review deliverables before client presentation - Partner with our India-based Technical Lead on execution - Practice Development - Shape offerings and positioning based on market feedback - Develop referral partnerships - Contribute to go-to-market strategy Qualifications - 15+ years in US healthcare - Substantial experience with payer contracting, managed care, or provider reimbursement - Track record in consulting, advisory, or analytics-driven roles - Experience selling or delivering engagements in the $100K-$500K range Requirements - Existing relationships with health system executives, practice leaders, or PE operating partners - Ability to translate complex analytics into actionable recommendations - Comfort overseeing offshore teams and reviewing analytical work - Strong executive presence Mindset - Entrepreneurial — energized by building, not just executing - Self-directed — can manage your own pipeline and priorities - Collaborative — works well with a small, distributed team Background might include: - VP Managed Care or Provider Contracting at a health system - Partner or Director at a healthcare consulting firm - Operating role at a PE-backed healthcare platform - Senior payer executive with provider-side experience Compensation Overview - Base Retainer: You will receive a fixed monthly payment that reflects your part-time commitment to the role. This ensures a steady, predictable income. - Performance Incentive: On top of your base pay, you will earn a commission on all revenue generated. Additionally, you will be eligible for bonuses when specific deals are closed. - Target Total Compensation: The total package is designed to be highly competitive with current market rates for fractional executive roles, balancing both stability and high-earning potential. Logistics - Commitment: Fractional/ Part time - Location: Remote within the US; hybrid if in Chicagoland - Travel: Occasional, for client meetings or conferences - Structure: W-2 or 1099, based on preference - Start: Q2 2026 To Apply Please submit your resume and a brief note covering: - Your experience with payer contracting or provider reimbursement - An example of consulting or advisory work you've led or contributed to - Your current availability and interest in fractional work We'll follow up with qualified candidates to discuss the opportunity in more detail. Neolytix is an equal opportunity employer.

Requisition Number: 2344875 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. We are seeking a seasoned Principal Data Scientist to lead design, development and deployment of advanced machine-learning solutions. In this role you will define end-to-end ML architecture, select appropriate tools and frameworks, drive POCs and guide engineering teams in productionizing scalable AI services. A solid foundation in statistics, deep learning and generative AI, hands-on cloud expertise, and exceptional communication skills are essential. The Principal Data Scientist designs and builds production grade ML and GenAI solutions, while providing technical guidance and mentorship to junior engineers without formal people management responsibilities. You'll enjoy the flexibility to work remotely* from anywhere within the U.S., preferably in Minnesota, as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Lead solution architecture and hands on development of machine learning and generative AI applications - Design, build, and deploy scalable, production grade AI solutions using traditional ML, deep learning, and modern LLM based approaches - Balance architectural leadership with hands on execution across complex AI/ML initiatives - Provide technical guidance and mentorship to junior engineers through collaboration and code/design reviews (no people management) - Partner closely with engineering, product, and cross functional teams to deliver high impact AI solutions aligned with enterprise standards - Design, develop, and deploy AI-powered solutions to address complex business challenges - Lead proof-of-concept experiments in generative AI (transformers, GANs, diffusion models) to solve business problems - Establish best practices for model governance, versioning, reproducibility and security - Collaborate with data engineers, data scientists, software engineers and product managers to translate business requirements into technical solutions - Evaluate emerging tools, libraries and research to drive innovation and maintain competitive edge - Document architecture designs, conduct design reviews and present technical proposals to stakeholders You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 10+ years of experience designing, building, and deploying production machine learning solutions - Deep expertise in either NLP or Computer Vision, with multiple years of hands on solution ownership in that domain - Deep expertise in core ML and statistical methods: supervised/unsupervised learning, regression, classification, clustering, time series, Bayesian modeling - Proven solid foundation in traditional ML and deep learning, demonstrated through substantive work prior to or alongside recent GenAI efforts (GenAI only backgrounds without prior ML depth are not sufficient) - Demonstrated experience with cloud ML services and infrastructure design on at least one major cloud platform (AWS, Azure or GCP) - Recent experience (approximately last three years) building GenAI applications using LLMs and frameworks such as LangChain and/or LangGraph - Hands on programming experience in Python and ML frameworks (e.g., PyTorch, TensorFlow) - Demonstrated familiarity with big data technologies: Apache Spark, Hadoop, Dask - Ability to define cloud-native ML infrastructure on Azure, AWS or GCP: containerization (Docker/Kubernetes), ML pipelines (SageMaker, Vertex AI, Azure ML), MLOps (CI/CD, model registry, monitoring) - Proficiency in deep learning frameworks: TensorFlow, Keras, PyTorch - Practical experience building or fine-tuning generative models (e.g., GPT, BERT, Stable Diffusion, custom architectures) - Proven solid background in probability, linear algebra and statistical inference - Demonstrated track record of moving models from research/POC into production at scale - Proven excellent problem-solving ability and solid verbal/written communication skills Preferred Qualifications: - Experience working with healthcare data, systems, or use cases - Experience with MLOps tools: MLflow, Kubeflow, TFX, Airflow or equivalent - Proven knowledge of data visualization tools (Tableau, Power BI) and dashboarding - Work supporting U.S. based healthcare or enterprise environments - Reside in Minnesota *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.