• Lead the development, validation, productionization, and iteration of machine learning models that support city and vehicle tech initiatives, including feature engineering, model selection, performance tuning, and integration into product and enforcement systems • Define and establish model and product performance metrics, building clear evaluation frameworks to assess live performance and guide data-driven decision-making • Own and contribute to the development of analytical data pipelines and instrumentation required to support modeling, experimentation, and reliable reporting • Design, lead, and support experimentation efforts, including product initiatives and pilot programs, to measure impact, validate performance, and deliver insights that inform broader product and business strategy • Manage complex, cross-functional initiatives from scoping through executive communication • Make business recommendations using effective presentation skills, conveying findings at multiple levels including executive leadership, managers, and peers

Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered more than one billion rides in cities around the world. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally, spurring a new generation of clean alternatives to car ownership. We are looking for a Data Scientist to join our growing team as we enter a new phase of expansion. The data science and analytics (DS&A) team’s mission is to make Lime sustainable and more valuable, by identifying and steering the business towards opportunities, guiding the organization to make the best possible decisions, and enabling effective implementation and operations. In this role, you will work with Product, Engineering, and cross-functional business teams to address challenges and opportunities across City & Vehicle Tech, including hardware pilots and responsible riding initiatives. You’ll set up end-to-end analytical and modeling capabilities (instrumentation, experimentation, model development, validation, and deployment support) that will feed our data-driven decision-making and power product experiences. Key strengths of this role include curiosity, ownership, and technical depth to operate independently and cross functionally in a fast-paced environment. This is a remote position with a requirement for candidates residing in the United States to maintain effective collaboration across teams. What You'll Do: - Lead the development, validation, productionization, and iteration of machine learning models that support city and vehicle tech initiatives, including feature engineering, model selection, performance tuning, and integration into product and enforcement systems - Define and establish model and product performance metrics, building clear evaluation frameworks to assess live performance and guide data-driven decision-making - Own and contribute to the development of analytical data pipelines and instrumentation required to support modeling, experimentation, and reliable reporting - Design, lead, and support experimentation efforts, including product initiatives and pilot programs, to measure impact, validate performance, and deliver insights that inform broader product and business strategy - Manage complex, cross-functional initiatives from scoping through executive communication - Make business recommendations using effective presentation skills, conveying findings at multiple levels including executive leadership, managers, and peers About You: - Bachelor’s degree in a quantitative field (e.g. engineering, sciences, math, statistics, computer science, or related discipline); advanced degree preferred - 5+ years of experience in data science or machine learning roles - Strong proficiency in Python and SQL - Demonstrated experience building, validating, and iterating on machine learning models in production environments - Experience designing experiments and applying statistical methods to evaluate model and product performance - Ability to independently drive ambiguous, high-impact initiatives - Strong communication skills and the ability to translate complex modeling concepts into clear business recommendations U.S. Based Position - What We Offer: - Comprehensive Health & Wellness: A choice of medical, dental, and vision plans. We also provide company-paid life and disability insurance and company-funded mental health benefits. - Financial & Retirement Planning: 401(k) plan with both pre-tax and Roth options, and access to a Health Savings Account (HSA) with a monthly company contribution. - Family & Fertility Support: Paid parental leave for birthing and non-birthing parents, plus fertility and family-forming benefits. - Paid Time Off: Unlimited vacation, paid leaves, and 10 company holidays. - Unique Lime Perks: Complimentary use of Lime vehicles in participating cities, a monthly phone allowance, dedicated learning and development days, and access to perks including One Medical, Wellhub, and Headspace. The base salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by objective factors such as the candidate's location and relevant skills and experience. Depending on the position, the total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements. Lime considers all qualified applicants for employment, including those with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and all other applicable federal, state, and local laws. #LI-SE1 #LI-Remote If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page. Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email recruiting-operations@li.me for assistance.

What is the Henry Schein ONE Way? Simply put, we care for each other. We treat each other with respect, kindness, gratitude, and awe. We welcome different viewpoints and encourage creativity. Henry Schein ONE believes that everyone has something amazing and unique to contribute, and we wouldn’t be Global Industry leaders today without all the individual contributions that bring our team together. Our culture strives to provide a place where passion, individuality, autonomy, purpose and diversity succeeds. We strive to let you Schein because when you Schein so do we! If you are still not sold on how great it is to be a Team Schein Member, then perhaps you need to hear about our Henry Schein Cares programs, team engagements, lunches, and extra wellness benefits. Or that our leadership encourages you to maintain a healthy work-life balance. There are so many perks too numerous to list. If you are intrigued, apply now, our Talent Acquisition team is excited to meet you! As a Data Scientist, you will lead the design and development of complex data systems that drive strategic value across the organization. You'll operate at the intersection of data architecture, analytics, and execution – guiding technical direction, mentoring engineers, and ensuring alignment with business goals. You'll take ownership of high-impact data initiatives spanning multiple teams and domains. You'll proactively identify opportunities, architect for scalable solutions, and balance short-term needs with long-term vision. Your work will address key business objectives while serving as a reference and pattern for other teams. What You Will Do - Partner with product and engineering teams to translate business requirements into data-driven solutions and analytical frameworks - Design and implement advanced statistical methodologies and predictive models to enhance data analysis capabilities - Deliver clear actionable insights through effective data visualization and comprehensive reporting to key stakeholders - Drive operational efficiency by developing and deploying analytics solutions that provide meaningful business intelligence - Lead data quality initiatives and establish data governance standards - Architect and optimize data pipelines for scalable analytics solutions - Develop automated monitoring systems for data integrity and model performance - Maintain expertise in emerging data technologies and industry best practices while continuously improving analytical processes What You Will Have - 10+ years of experience in quantitative analysis and data science - Expert proficiency in SQL, data modeling, and data warehouse optimization, including Redshift query and table design - Deep understanding of data lake architectures, ETL processes, data catalog management, and data lineage/impact analysis - Experience designing and optimizing data pipelines and productionizing models for both batch and streaming data workloads - Familiarity in stream processing technologies, including Apache Flink, Spark, Kafka - Hands-on experience with AWS data platforms, including EMR cluster management and performance optimization - Ability to apply industry best practices across analytics, data engineering, and applied data science workflows - Analytical, problem-solving, and independent decision-making skills to resolve complex data challenges - Effective verbal, written, and data-driven communication, including presenting complex findings to diverse audiences - Excellent collaboration and partnership skills across technical and non-technical teams Nice to Haves - Bachelor’s or Master’s Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field - Domain experience in healthcare, finance, or SaaS analytics What you get as a Henry Schein One Employee - A great place to work with fantastic people. - A career in the healthcare technology industry, with the ability to grow and realize your full potential. - Competitive compensation. - Excellent benefits package! Medical, Dental and Vision Coverage, 401K Plan with Company Match, Paid Time Off (PTO), Paid Parental Leave, Short Term Disability, Work Life Assistance Program, Health Savings and Flexible Spending Accounts, Education Benefits, Worldwide Scholarship Program, Volunteer Opportunities, and more. *Benefits may vary by location or status. Henry Schein One is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status. Fraud Alert Henry Schein has recently been made aware of multiple scams where unauthorized individuals are using Henry Schein's name and logo to solicit potential job seekers for employment. Please be advised that Henry Schein's official U.S. website is www.henryschein.com. Any other format is not genuine. Any jobs posted by Henry Schein or its recruiters on the internet may be accessed through Henry Schein's on-line "career opportunities" portal through this official website. Applicants who wish to seek employment with Henry Schein are advised to verify the job posting through this portal. No money transfers, payments of any kind, or credit card numbers, will EVER be requested from applicants by Henry Schein or any recruiters on its behalf, at any point in the recruitment process.

For People is a team of skilled technologists improving government digital services for disadvantaged and vulnerable populations. We embed directly in government agencies to modernize software, systems, and platforms so that they better serve people. Your Impact You'll be a key hands-on contributor to a high-profile project with the Centers for Medicare & Medicaid Services (CMS) that impacts millions of people. We're working to transform a manual data process into an automated solution, and you will be at the heart of that technical work. As a Senior Data Scientist, you will write queries and implement the business logic that drives this new system. Your work will directly ensure that accurate, timely data reaches state governments, strengthening the integrity of the nation's Medicaid program. Our Culture For People is a team of humans. We place a significant amount of emphasis on positive work-life balance, setting healthy expectations, and making sure our loved ones are taken care of first. That means picking a child up from school during the day or going for a mid-day walk is okay! This position is 100% remote. Our entire team is remote across the United States, from the West Coast to the East Coast. There will never be a return-to-office, as we have none! This position's published base salary range is between $120,000 and $140,000 annually, plus generous benefits (e.g., For People pays 100% of Gold-tier employee health insurance premiums) and annual company profit sharing. Your Opportunities At For People, you will: - Design, write, and optimize complex SQL queries to extract and manipulate information from government Medicaid datasets like T-MSIS. - Translate intricate policy requirements and business rules into accurate, efficient, and testable data transformations. - Develop and implement data quality checks to ensure the integrity and accuracy of sensitive enrollee data containing PHI. - Collaborate closely with data engineers to build, test, and deploy a new automated data pipeline within a cloud-based data lakehouse platform. - Work with business analysts and government stakeholders to understand, refine, and document data requirements for the project. - Develop reporting mechanisms that provide insights back to the client. You Bring - 6+ years of hands-on experience as a data scientist, with a proven track record of delivering complex data projects. - Expert-level proficiency in SQL for querying and manipulating large, complex datasets. - Strong programming skills in Python for data analysis, scripting, and automation. - Experience working with data pipelines and ETL processes in a modern cloud environment. - A deep curiosity and passion for untangling complex problems and a drive to see your work create a positive social impact. Prior exposure to healthcare, CMS, or state Medicaid data is a bonus.Additional Details You will be working on a United States government platform, and they have a few basic requirements for contractors like ourselves. You must perform all work physically within the United States at all times. In addition, you must be a United States citizen and be able to pass a government-performed public trust background check. For People is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, and/or veteran status.