• Lead, influence and contribute across R&D to drive business value for Toast and our restaurant customers • Collaborate closely with product and engineering stakeholders to drive strategic direction for Toast’s AI-enabled products • Work closely with leaders from Data Science, ML Engineering and Platform teams to help shape and execute the vision of ML Platform at Toast • Break down larger ML initiatives into smaller problems that enables data science to deliver incremental business value and lead the team to execute on them • Coach and mentor data scientists and ML engineers to be successful in their career growth • Incorporate up-to-date DS approach as best practices for the team • Help in continuing to build out and expand Toast’s AI product portfolio • Work effectively in a dynamic, changing environment while focusing on key goals and objectives

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.