Statistician work from home jobs - 392 jobs

A leading healthcare AI company based in Chicago is seeking a Machine Learning Engineer/Data Scientist to develop AI solutions that improve patient care. You will design and optimize machine learning models, collaborate with diverse teams, and stay updated on industry innovations. Ideal candidates possess a strong background in machine learning, proficiency in programming languages like Python, and experience with cloud platforms. Join us for a competitive salary and opportunities for personal development and equity participation. #J-18808-Ljbffr

About the job Sr. Data Scientist About AllyNds Client This client is a mission-driven FinTech startup democratizing credit with behavioral data. Their platform uses alternative signals like purchase behavior, mobile activity, and financial metadata to extend fair credit access to thin- and no-file users. With funding from FinTech-focused VCs and former Plaid/Credit Karma leadership on board, they are entering a high-growth phase and expanding their data science team. Job Description Were seeking a Senior Data Scientist who thrives in high-autonomy environments and wants to build ML systems that power life-changing financial decisions. Youll work on risk modeling, fraud detection, and explainable AI to make lending more equitable and intelligent. Responsibilities Build and productionize machine learning models for credit risk and fraud detection Design real-time scoring systems using behavioral and transactional data Conduct fairness analysis and build explainable AI tooling Lead model validation, AB testing, and drift monitoring Collaborate with data engineers and product managers on model-driven features Contribute to data governance and regulatory compliance efforts Required Skills 7+ years of experience in data science, ideally in FinTech or financial risk modeling Proficient in Python, SQL, and modeling tools like XGBoost, LightGBM, sklearn Experience with real-time modeling, data pipelines, and stream processing Knowledge of responsible AI practices and interpretability (SHAP, LIME) Strong statistical background and experimental design skills Preferred Skills Experience with alternative credit models or underwriting Familiarity with regulatory frameworks (FCRA, ECOA) Exposure to tools like H2O.ai, Feature Store integrations, or custom explainers Benefits 100% remote with async-friendly culture Health, dental, vision coverage + 401(k) Unlimited PTO and mission-focused team

Loyal is a clinical-stage veterinary medicine company developing drugs intended to extend the lifespan and healthspan of dogs. Our mission is to help dogs live longer, healthier lives. We've already achieved significant milestones on our path to earning FDA approval for the first lifespan extension drug for any species. We have three products in our pipeline and are on track for FDA conditional approval within the next year. Loyal is a well-funded startup in growth mode. Our team includes scientists, veterinarians, engineers, operators, and creatives. This role will play a key role in supporting our growth strategies. About the role We're seeking an experienced Statistician to Leverage varied statistical experience to analyze and present results from both laboratory clinical trials and clinical observational studies. Emphasis on statistical inference, performing sample size and power calculations, regulatory submission, and manuscript writing. You will be reporting to our Statistics Manager, Research. Your daily work will include: Working closely with senior statisticians, biologists, and clinicians to perform statistical analyses for preclinical and clinical investigations Supporting experimental design using simulation- and equation-based power and sample size analyses Applying a variety of statistical analysis techniques to our studies, including GLMs, survival analysis, longitudinal/mixed effects modeling Contributing to documentation that is sent to regulatory agencies, including study protocols, study reports, statistical analysis plans and data package documentation Collaborating with data engineers and laboratory and clinical research teams to advise on data collection and database infrastructure Sharing scientific results for internal meetings/presentations, manuscripts, or poster sessions and conference presentations Assisting in endpoint and/or assay development through exploratory data analysis and modeling. As the team grows, contributing to the mentorship and training of more junior bioinformaticians and supporting best practices in analysis and reproducibility About you MS in statistics, biostatistics, or a related field 4+ years of industry experience with statistical analyses in a biotech or pharmaceutical setting Proficient programming skills (R, python) and version control (git) Experience developing reproducible analysis workflows and documentation (e.g., quarto or Jupyter notebooks) Strong written and verbal scientific communication skills Demonstrated interest in aging biology, longevity science, or age-related disease Familiarity with Google Workspace applications (e.g., Sheets, Slides, etc. Salary range: $90,000 - $125,000 Loyal benefits: Full-coverage health insurance - medical, dental and vision - for you and your dependents $1,000 home office equipment stipend $1,200/year learning budget for books, courses, etc. $250/month wellness budget for gym, cleaners, spa, food, etc. All 3-day weekends are turned into 4-day weekends 🎉 Unlimited vacation and paid holidays Paw-ternity leave - adopt a dog and get a day off with your new family member 🐶 Competitive salary Company equity options grant for new hires Loyal is founded and led by a first-gen female CEO and is proud to be an equal opportunity employer. We do not discriminate against applicants based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Our values Lean into moonshots We don't settle for incremental change. We have the bravery to take risks and shoot for the impact we want to have. Opportunity is at the intersection We lean into combining disciplines, expertises, and perspectives not normally adjacent. We design our organization to facilitate cross-pollination and cross-collaboration. We reject silos. Expertise without ego Titles do not determine who has a voice. We work on hard technical problems and have a ton of fun while at it. Learning by doing Our path is novel and many things we are doing have never been done before. We lean into MVPs and are open to unexpected outcomes. Lead with context We value leading with context. We equip people with the context and background necessary to make their own decisions and act in the best interest of Loyal. We empower teams to succeed. Empathy and respect for all life Our patients are not just numbers. Our work is intentional, thoughtful, and guided by respect for life. We take our responsibility to pets and pet parents seriously.

Handshake is recruiting Statistician Professionals to contribute to an hourly, temporary AI research project-but there's no AI experience needed. In this program, you'll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model's understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise. Details The position is remote and asynchronous; work independently from wherever you are. The hours are flexible, with no minimum commitment, but most average 5-20 hrs The work includes developing prompts for AI models that reflect your field, and then evaluating responses. You'll learn new skills and contribute to how AI is used in your field Your placement into a project will be dependent on project availability-if you apply now and can't work on this project, more will be available soon. Qualifications You have at least 4 years of professional experience in one or more of the following types of work. The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models Analyzing and interpreting statistical data to identify significant differences and relationships among sources of information. Evaluating statistical methods and procedures used to obtain data to ensure validity, efficiency, and accuracy. Reporting results of statistical analyses, including information presented as graphs, charts, and tables. Determining whether statistical methods are appropriate based on user needs or research objectives. Preparing data for processing by organizing, cleaning, and weighting raw datasets. Developing and testing experimental designs, sampling techniques, and analytical methods. Identifying relationships and trends in data, as well as factors influencing research outcomes. Presenting statistical and nonstatistical results using visual aids such as charts and graphs for diverse audiences. Designing research projects that apply valid scientific techniques using baseline or historical data to structure efficient analyses. Adapting statistical methods to solve domain-specific problems in areas such as economics, biology, healthcare, or engineering. Evaluating data sources to determine limitations regarding reliability and usability. Processing large datasets for statistical modeling and graphic analysis using specialized software or programming languages. Developing custom software applications or scripts for statistical modeling and visualization. Reporting research findings in peer-reviewed papers, technical documentation, or internal reports. Planning data collection methods and determining appropriate sample types and sizes for specific projects. Applying sampling techniques or using complete enumeration bases to define survey groups. Examining theoretical foundations such as probability and inference to develop or refine methods for obtaining and evaluating data. Supervising and training workers responsible for collecting and tabulating data. Preparing and structuring data warehouses for efficient data storage and retrieval. You're able to participate in asynchronous work in partnership with leading AI labs. Application Process Create a Handshake account Upload your resume and verify your identity Get matched and onboarded into relevant projects Start working and earning Work authorization information F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI. #indhp

General SummaryUnder general supervision of the Statistics Project Manager or higher, the Senior Statistician will perform methodology research and provide statistical expertise for the design, analysis, and reporting for assigned clinical studies. The Senior Statistician will conduct independent consultation across functional teams as needed. The incumbent may participate in planning meetings with strategic teams for purposes of identifying and communicating necessary statistical approaches to meet research and clinical trial objectives. The Senior Statistician will liaise with medical writers and study investigators in preparing research manuscripts for publication. Specific Duties and Responsibilities•Develops statistical methods and other relevant sections of major deliverables such as protocols, analysis plans, study reports and scientific publications. Prepare key sections of clinical study reports and various regulatory documents.* •Responsible for sample size estimation and justification.*•Responsible for randomization specifications using standard methodology. Develops complex randomization specifications with supervision.*•Works with external vendors to effectively implement the randomization schedule.•Support submission activities and documents, provide input on responses to regulatory authorities and other device development activities, as required. •Contribute to decision making on CRF data collection to ensure alignment with protocol objectives and statistical analyses defined in the protocol. •Actively participates in meetings to identify data collection instruments and database design requirements.•Author statistical analysis plans, including interim analysis and stopping rules, ensuring statistical methods and corresponding details are consistent with the study design, and sufficiently detailed for programming implementation including development of table and listing shells. Coordinate statistical analysis plans written by contractor or junior statisticians.*•Explain statistical concepts to non-statisticians to enhance their understanding of the analysis approach. Clearly communicate fundamental statistical concepts to statisticians and other personnel.•Summarizes and presents results (verbal and written) clearly, including creating reports for the Data Monitoring Committee to review patient accrual, overall study progress, treatment efficacy, and patient safety data.•Independently identifies issues arising in the design, conduct or analysis of clinical trials and proposes alternative analysis strategies or other recommendations to address these issues.•Uses statistical and medical understanding to propose and perform additional analyses appropriately.•Works collaboratively with multi-function teams to complete project deliverables per agreed timelines.•Ensures accuracy and internal consistency of report or publication, including text, tables, listings, and figures. Performs statistical QC for protocol, analysis plan, study report, and other major deliverables, including abstracts, oral and poster presentations and publications.* •Collaborates in publication of scientific research results in assigned areas. Works with project team to develop strategy for data presentation.•Identify and recommend corrections of flaws in scientific logic and statistical interpretation•Ensures consistency in presentation, inference, and adherence to accepted report guidelines and publication practices•Provides critical review to enhance quality of data presentation and scientific/statistical arguments•Participates in departmental activities including recruiting, training, mentoring, and cross-functional collaborations, as needed.•Maintains technical skills and increases own knowledge of new statistical methodology or areas of application through use of the scientific literature and by attending conferences and workshops, opportunity permitting.•Presents own statistical research or review of the statistical literature at meetings and seminars. •Demonstrates ability to act as a resource for other statisticians about a broad spectrum of analysis methods.•Possesses broad programming abilities and shares them with others by consultation and example.•Maintains programming skills even when delegating many programming tasks to others.•Able to guide, negotiate, and coordinate all statistical project responsibilities independently.*•Collaborates with project team members, including the project lead, investigators, statistical colleagues in manner that consistently demonstrates a high level of expertise, experience, and professionalism.•Adhere to the Company's Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. * •Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. * •Ensure other members of the department follow the QMS, regulations, standards, and procedures.* •Perform other work-related duties as assigned. *Indicates an essential function of the role Position QualificationsMinimum education and experience:•Master's degree in Statistics, Biostatistics, Math or other scientific discipline with 6+ (six) years of experience or Bachelor's degree with 8+ years of experience in Clinical trial analysis in a medical device or pharmaceutical environment, or an equivalent combination of education and experience. Additional qualifications: •Competent in study design, descriptive and inferential statistics, clinical trial applications and computer programming.•Understanding of FDA regulatory requirements and ICH/GCP preferred.•High degree of accuracy, organizational skills and attention to detail are essential.•Experience analyzing complex study objectives and developing appropriate analysis specifications and plans. •Exercising judgment in selecting methods, techniques, and evaluation criteria for obtaining results. •Builds strong relationships with peers and cross functionally with partners outside of team Experience writing statistical analysis plan (SAP) from the clinical protocol and other study specific documents. •Familiarity with relational databases and understanding of fundamental statistical methods, such as non-parametric analysis, linear and non-linear models, categorical data and survival analysis techniques.•Able to work under time pressure and handle multiple tasks simultaneously.•Determines methods and procedures on new assignments and may coordinate activities of other personnel. Strong interpersonal, collaborative and communication skills are required. Annual Base Salary Range: $127,000 - $207,000This is the pay range for a mid-cost labor market. If hired in another region, there will be a difference in pay range . We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer•A collaborative teamwork environment where learning is constant, and performance is rewarded.•The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases.•A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, an employee stock purchase plan, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra's commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions. We can recommend jobs specifically for you! Click here to get started.

Who We Are Ready to create a healthier world? We are ready for you! Personify Health is on a mission to simplify and personalize the health experience to improve health and reduce costs for companies and their people. At Personify Health, we believe in offering total rewards, flexible opportunities, and a diverse inclusive community, where every voice matters. Together, we're shaping a healthier, more engaged future. Responsibilities Ready to Transform Data Into Product Strategies That Drive Member Outcomes? We're seeking a strategic analytics leader who can combine deep technical expertise with product strategy insight to develop scalable frameworks and advanced analytics. As our Lead Product Data Scientist, you'll serve as the primary analytics partner for product leadership while designing experimentation models that empower teams and inform company-level decisions. What makes this role different ✓ Strategic partnership: Act as primary analytics partner to senior product leadership, setting frameworks for KPI definition, tracking, and evaluation ✓ Advanced modeling expertise: Create predictive and causal inference models that anticipate feature impact, engagement, and health outcomes ✓ Cross-functional influence: Serve as senior analytics thought leader, influencing roadmap prioritization and portfolio investment decisions ✓ Scalable impact: Build self-service tools and dashboards that empower teams while setting enterprise-level analytics standards What You'll Actually Do Drive product analytics strategy (40%): Act as primary analytics partner to senior leadership, developing advanced product funnel and user behavior models that identify patterns unlocking new opportunities. Architect experimentation frameworks (30%): Design and evaluate A/B and multivariate tests with statistical rigor while creating predictive models for feature impact and long-term engagement. Lead cross-functional influence (20%): Translate analytical findings into executive-level narratives that drive confident, data-backed decisions while facilitating workshops that raise data fluency across teams. Ensure technical excellence (10%): Partner with Data Engineering to optimize analytics-ready pipelines while establishing best practices and reusable libraries for SQL, Python, and experimentation templates. Qualifications What You Bring to Our Mission The technical foundation: Advanced SQL skills for complex query design and optimization Deep proficiency in Python with libraries like pandas, numpy, scikit-learn for modeling and analysis Strong grounding in statistical inference, hypothesis testing, and causal modeling Expertise with experimentation platforms and product analytics tools (Amplitude, Mixpanel, Heap) The strategic expertise: 5-8+ years leading product analytics or data science initiatives in SaaS, healthcare, or consumer tech Proven track record informing product strategy through analysis and experimentation Experience defining, evolving, and scaling product KPIs and measurement frameworks Demonstrated success influencing product and company-level decisions with data Experience partnering with product managers, digital user flows and funnels The leadership competencies: Ability to coach and raise data fluency of product managers, designers, and business leaders Strong executive communication and storytelling skills with comfort presenting to leadership teams Track record building scalable analytics frameworks that multiply impact across teams Experience in agile product environments with direct contribution to roadmap shaping The technical stack experience: Languages/Analytics: SQL, Python, R Visualization: MicroStrategy, Tableau, Looker, PowerBI Infrastructure: AWS, Snowflake, dbt Product Analytics: Amplitude, Mixpanel, Heap, Pendo Collaboration: Jira, Confluence, Teams The preferred qualifications: Background in healthcare, digital health, or wellness tech ecosystems Experience applying machine learning techniques to personalization or member engagement Familiarity with journey analytics, health outcomes measures, or value-based care metrics Demonstrated thought leadership in product data science communities or forums Why You'll Love It Here We believe in total rewards that actually matter-not just competitive packages, but benefits that support how you want to live and work. Your wellbeing comes first: Comprehensive medical and dental coverage through our own health solutions (yes, we use what we build!) Mental health support and wellness programs designed by experts who get it Flexible work arrangements that fit your life, not the other way around Financial security that makes sense: Retirement planning support to help you build real wealth for the future Basic Life and AD&D Insurance plus Short-Term and Long-Term Disability protection Employee savings programs and voluntary benefits like Critical Illness and Hospital Indemnity coverage Growth without limits: Professional development opportunities and clear career progression paths Mentorship from industry leaders who want to see you succeed Learning budget to invest in skills that matter to your future A culture that energizes: People Matter: Inclusive community where every voice matters and diverse perspectives drive innovation One Team One Dream: Collaborative environment where we celebrate wins together and support each other through challenges We Deliver: Mission-driven work that creates real impact on people's health and wellbeing, with clear accountability for results Grow Forward: Continuous learning mindset with team events, recognition programs, and celebrations that make work genuinely enjoyable The practical stuff: Competitive base salary plus commission structure that rewards your success Unlimited PTO policy because rest and recharge time is non-negotiable Benefits effective day one-because you shouldn't have to wait to be taken care of Ready to create a healthier world? We're ready for you. No candidate will meet every single qualification listed. If your experience looks different but you think you can bring value to this role, we'd love to learn more about you. Personify Health is an equal opportunity organization and is committed to diversity, inclusion, equity, and social justice. In compliance with all states and cities that require transparency of pay, the base compensation for this position ranges from $130,000 to $170,000 annually. Note that compensation may vary based on location, skills, and experience. This position is eligible for 10% target bonus/variable compensation as well as health, dental, vision, mental health and other benefits. We strive to cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive. Personify Health is committed to driving Diversity, Equity, Inclusion and Belonging (DEIB) for all stakeholders: employees (at each organization level), members, clients and the communities in which we operate. Diversity is core to who we are and critical to our work in health and wellbeing. #WeAreHiring #PersonifyHealth Beware of Hiring Scams: Personify Health will never ask for payment or sensitive personal information such as social security numbers during the hiring process. All official communication will come from a verified company email address. If you receive suspicious requests or communications, please report them to **************************. All of our legitimate openings can be found on the Personify Health Career Site.

Milliman's Mountain Gulf Health Practice is looking for an FSA with experience in health actuarial work, with specific expertise for Medicaid. The position requires creative actuarial capabilities, good communication and interpersonal skills, and organizational talents. A high degree of self-motivation and the ability to lead a team of dedicated consultants are also necessary for success. We provide extensive on-the-job training in consulting skills and advanced actuarial techniques. About Our Practice Milliman's Mountain Gulf Health Practice is a team of highly self-motivated and enthusiastic individuals who serve a wide variety of organizations, including insurance companies, health plans, state and federal agencies, healthcare providers, reinsurance companies, and employers. Our practice includes over 50 actuarial professionals, as well as healthcare consultants, administrative staff, and other non-actuarial personnel. We have developed expertise in a variety of business areas, offering comprehensive and specialized services to meet the diverse needs of our clients. By joining Milliman, you will be working with some of the most experienced, most capable people in the health industry. Through our mentor program, you will have a dedicated colleague available to help guide your career growth. For the right candidate, these opportunities will help you grow professionally while enjoying the work you do. This is a fully remote position. You will have the opportunity to: Perform analysis of healthcare data Write reports that explain technical concepts clearly to a non-technical audience Manage projects through completion within an expected budget Supervise actuarial students and less-experienced actuaries in the completion of technical aspects of actuarial projects Employees will be expected to develop the ability to manage client relationships and successfully generate new business with both new and existing clients. To be successful in this role, you will have the following qualifications: Professional Qualifications: Bachelor's degree in mathematics, statistics, economics, or a related field FSA designation Seven to twelve years of healthcare actuarial experience. Meaningful experience in Medicaid, especially capitation rate development and understanding of revenue mechanisms (e.g., risk scores). Preference for Medicaid experience from the state perspective. Proficiency with Excel Some knowledge of SAS, SQL, or R Strong understanding of the US healthcare system and Medicaid in particular Demonstrable skills in presenting technical concepts to a non-technical audience in an understandable way Superior problem-solving capabilities and desire to learn Spanish language skills desired but not required Personal Qualifications: Excellent communication, both verbal and written Ability to work both independently and in team environments Proven ability to work in a fast-paced environment where client satisfaction is key Drive to grow, learn, and build a bright career Entrepreneurial spirit Location This position is fully remote, as our practice is comprised of consultants all over the country. Remote candidates anywhere in the US will be considered. This job posting is expected to close on March 1, 2026. Compensation The overall salary range for this role is $103,500 - $242,650. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. For candidates residing in: Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia: $119,025 - $214,820 if overall experience is less than 10 years; and $134,435 - $242,650 for experience greater than 10 years. All other states: $103,500 - $186,800 if overall experience is less than 10 years; and $116,900 - $211,000 for experience greater than 10 years. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. To be considered for this position, please upload a resume and cover letter. No recruiters, please. Benefits We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include: Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners. Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges. 401(k) Plan - Includes a company matching program and profit-sharing contributions. Discretionary Bonus Program - Recognizing employee contributions. Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses. Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. Holidays - A minimum of 10 observed holidays per year. Family Building Benefits - Includes adoption and fertility assistance. Paid Parental Leave - Up to 12 weeks of paid leave for employees who meet eligibility criteria. Life Insurance & AD&D - 100% of premiums covered by Milliman. Short-Term and Long-Term Disability - Fully paid by Milliman. Who We Are Independent for 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation. Through a team of professionals ranging from actuaries to clinicians, technology specialists to plan administrators, we offer unparalleled expertise in employee benefits, investment consulting, healthcare, life insurance and financial services, and property and casualty insurance. Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

You will be a strategic partner to product, engineering, and trust and safety teams, responsible for defining evaluation frameworks, leading experiments (A/B, quasi-experiments, etc.), and turning offline and live model performance into product improvements. This role requires a strong track record in startup-style experimentation (moving quickly with scrappy but rigorous methods) and product experimentation at scale. The ideal candidate will also bring proven experience in leading and managing teams to deliver high-impact data science work. 100% remote Salary Range $120,000 - $260,000 Essential Job Functions ● Lead end-to-end experimentation: hypothesis generation, metric design, experiment design (A/B, multivariate, sequential, etc.), analysis, and interpretation. ● Build and maintain evaluation frameworks for LLMs: correctness, consistency, safety, hallucination detection, bias/fairness, etc. ● Develop predictive models, classification/ranking systems, and heuristics to improve product features related to AI/language generation. ● Collaborate with prompt engineers & model builders to test prompt strategies, fine-tuning, or model selection; work on failure modes/error analysis. ● Automate experiment pipelines: dashboards, monitoring, alerting, instrumentation. Ensure data quality & measurement integrity. ● Use causal inference / observational studies when randomized experiments are not feasible. ● Present findings and recommendations to both technical and non-technical leadership; influence roadmap decisions. ● Drive experimentation in startup-like environments: rapid iteration, learning from limited data, and balancing speed with rigor. ● Shape large-scale product experimentation: define frameworks for experimentation at scale and integrate results into product strategy. ● Lead and mentor teams of data scientists, analysts, and engineers; set best practices for experiment design and AI product evaluation. Requirements ~8-12+ years of experience in data science / ML roles, ideally with experiment design/product analytics. Proven track record in both startup-style and large-scale product experimentation. Experience leading teams, setting strategy, and driving execution in cross-functional environments. Strong background with statistical methods, causal inference, and rigorous measurement. Experience using LLMs / NLP / AI / prompt engineering or a closely related field. Excellent coding skills in Python (or similar), strong SQL, experience building and deploying models or analytic pipelines. Ability to work in cross-functional teams, translate technical results into business or product changes. Strong communication skills; ability to explain complex analyses to non-technical stakeholders. Preferred Qualifications Experience fine-tuning or working with multiple LLM providers / APIs. Experience with experiment platforms or building internal tooling for experimentation & model evaluation. Experience in voice / ASR or other multi-modal data. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Flexible Paid Time Off Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Work From Home Stock Option Plan

Role Description We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. Responsibilities Develop a deep understanding of customer journey phases and key business metrics Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL and large unstructured datasets such as Hadoop Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$149,200-$201,800 USDUS Zone 3$132,600-$179,400 USD

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for contextualizing data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! Responsibilities Work independently with cross functional teams to develop software and system requirements. Design, implement, and deploy state-of-the-art machine learning models. Monitor the performance of the ML models and drive continuous improvement. Lead team code quality activities including design and code reviews. Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations. Provide technical guidance to team members. Skills Success in this role typically requires the following competencies: Expertise in deep learning, with hands-on experience in the design, training, and evaluation of a wide range of algorithms. Ability to build and productionize machine learning models and large-scale systems. Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May. Excellent problem-solving skills with a meticulous approach to model architecture and optimization. Ability to provide individual and team mentorship, including technical leadership for complex projects. Strong understanding of data labeling best practices, label consistency, and performance metrics specifically relevant to large-scale auto-tagging accuracy and dataset curation. Qualifications and Experience Required B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning. Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch. Demonstrated experience in building and deploying production-level machine learning systems from conception to delivery. Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs). Demonstrated expertise in databases for data extraction, transformation, and analysis. Prior experience in mentoring and supporting junior engineers. Desirable Background in robotics or autonomous systems. Experience with multi-modal deep learning models, transformers, visual learning models etc. Experience with classifying driving maneuvers and traffic interactions using machine learning methods. Solid understanding of ML deployment lifecycle, MLOps practices, and cloud computing platforms (e.g., AWS, GCP). Expertise in PySpark/Apache Spark for handling large-scale data processing. Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing. Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range$200,591-$294,000 USD

Are you an experienced data scientist looking to join an industry-leading team? E Source develops groundbreaking data science applications that change the way utilities understand and manage their networks. We tackle challenging projects like simulating major investment strategies across statewide electric networks and optimizing vegetation management strategies. To conduct these projects, we leverage a combination of machine-learning models, inference-based statistics, and remote-sensing applications. Each project or product is collaboratively developed in-house by a data science team of diverse professional backgrounds and domain expertise. Ultimately, our work helps utilities keep the lights on for their customers when they need it most. A little about E Source E Source combines industry-leading research, data science, and consulting to help utilities make and implement better data-driven decisions that positively impact their customers, their bottom line, and our planet. Headquartered in Boulder, CO, we have teams across the US and Canada. Learn more at **************** How you'll help: Fit and assess predictive models leveraging geospatial data sources in R or Python. Explore and analyze client-provided assets and reliability data sets. Collaborate with a broader data science and engineering team to take projects and products from inception to client delivery. You'll be a full-time member of the E Source Data Science team. Our data science positions appeal to self-starters who welcome and excel in team-based, collaborative projects from conception to end-user handoff, providing excellent customer experience throughout. The ability to simplify complex analyses into understandable concepts that are applicable to management and operations staff is highly desired. What will make you a great fit: Required qualifications: Education: MS or PhD in Engineering, Math, Statistics, or similar field of study. Experience: MS + 1 year professional experience conducting data science projects in industry or applied research - analytical design, managing schedule and communicating results to stakeholders or PhD with applied research in above mentioned fields of study. Hands on experience cleaning, joining, and analyzing real-world data sets using predictive models (statistical, machine learning) in R and/or Python. Experience working as part of a larger data science team, collaborating with technical or non-technical peers, and presenting interpretable results to stakeholders. Preferred qualifications: Domain expertise in the electric utility space Domain expertise in geospatial analytics or using remotely sensed weather observations Experience leading and overseeing the work of data analysists or data scientists within a team What you can expect Excellent insurance options, including medical, dental, and vision plans; company-paid life insurance; company-paid long- and short-term disability insurance; and medical and dependent-care flexible spending plans. A flexible time off (FTO) program where you can take as many paid days off per year as they need, with manager approval, while fulfilling their work obligations and ensuring proper coverage of their responsibilities. Flexible schedules, flexible work locations, and a paid parental leave benefit. A 401(k)/RRSP plan with a 3% employer match. We are hiring between Levels II-IV for this position. The budgeted salary for this position is: $90,000 to $145,000 USD + annual bonus. Actual pay will be adjusted based on experience. This role will be 100% remote, with infrequent travel (generally 1-2 times per year). Applicants must be authorized to work for any employer in the US or Canada. We're unable to sponsor or take over sponsorship of employment visas or Labour Market Impact Assessments (Cdn) at this time. 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. Employees of E Source are encouraged to apply. To foster a positive work environment and company culture, we support our employees in their career growth at E Source. If you are interested in similar job opportunities in the future, visit the E Source careers page for a listing of all open positions and contact Human Resources. We contact applicants directly via email using only our designated company email addresses with the domain ***************. Please do not provide personal information to anyone over email and be wary of other accounts impersonating businesses. #LI-Remote #LI-SC1

The Managing Actuary provides leadership and direction to ensure team goals and strategies are successfully achieved. Essential Functions: Responsible for pricing, forecasting, reserving or other actuarial processes including development of key assumptions, as well as evaluation of financial experience and trend drivers Develop and communicate actionable and strategic recommendations to leadership in support of company goals Manage the development and maintenance of actuarial models to support key business goals and initiatives, such as actual to expected experience reporting, actuarial reserves and accruals, bid pricing/rate filings, forecasting, and contracting models Own the actuarial processes being managed (i.e., rate/bid filings, pricing, forecasting, reserving) within the company and with external vendors for assigned lines of business Specific function may require performing baseline analysis on expectations of rate changes for future years and work with federal and state agencies to support rate filings and other relevant activities Specific function may require overseeing development and review of Incurred But Not Reported (IBNR) reserve estimates for all CareSource lines of business on a monthly basis Perform any other job related instructions as requested Education and Experience: Bachelor's degree in actuarial science, mathematics, economics or a related field or equivalent years of relevant work experience is required Two to three (2 to 3) years or more of management experience is preferred Two to three (2 to 3) years or more of actuarial experience is preferred Strong database (SQL, SAS or Access) experience is preferred Managed care or healthcare experience is preferred Preferred: Experience leading Medicaid rate advocacy in at least one state Preferred: Understanding of accounting concepts such as accruals Competencies, Knowledge and Skills: Excellent written and verbal communication skills Excellent listening and critical thinking skills Strong interpersonal skills and high level of professionalism Ability to manage, develop, and motivate staff Ability to develop, prioritize and accomplish goals Ability to interact with all levels of management as well as external stakeholders Excellent problem-solving skills with attention to detail Excellent auditing and peer reviewing skills Ability to work independently and within a team Ability to effectively analyze data, develop/maintain appropriate models, draw and report findings and/or conclusions tailored for respective audiences Demonstrate sound business judgment when drawing conclusions and making recommendations Communicate status and results of processes, projects, goals and tasks with leader as needed or requested Expert proficiency level with Microsoft Excel Advanced proficiency with Microsoft Suite to include Word and Power Point Knowledge of SQL, SAS, R, Python or other data manipulation software Licensure and Certification: Associate of the Society of Actuaries (ASA) is required Fellow of the Society of Actuaries (FSA) is preferred Working Conditions: General office environment; may be required to sit or stand for extended periods of time May be required to travel less than 10% of the time Compensation Range: $94,100.00 - $164,800.00 CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package. Compensation Type (hourly/salary): Salary Organization Level Competencies Fostering a Collaborative Workplace Culture Cultivate Partnerships Develop Self and Others Drive Execution Influence Others Pursue Personal Excellence Understand the Business This is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.#LI-RW1

About the Company Rain makes the next generation of payments possible across the globe. We're a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and provide them a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed up fraud detection and response, and creating risk rules and strategies empowered with ML models. We are a pillar of the business supporting new products and ensuring their success. Rain's next generation payment technology brings unique and new fraud vectors requiring holistic, end-to-end thinking, strong data fundamentals and fraud management savvy to combat. What you'll do Own the metrics, dashboards, and reports that inform business strategy and decision-making Design and implement real-time monitoring systems for fraud signals and alerting thresholds Design, simulate, and implement real-time risk controls using real-time and offline predictive ML models Balance risk controls with customer experience by focusing on loss savings, reduced user friction, and margin improvement Partner with go-to-market teams to demonstrate the technical and business value of risk controls to customers Effectively summarize complex analytical results to leadership and non-technical stakeholders Assist partners when they have fraud concerns with their traffic What we're looking for Advanced proficiency in SQL and Python 3+ years hands-on experience working on automated fraud risk strategies and experimentation (A/B tests), including implementation of real-time and offline predictive ML models Skilled in designing, building, and maintaining dashboards and fraud risk metrics The ability to manage ambiguous problems and find solutions High autonomy, including the ability to prioritize your workload effectively Relevant quantitative bachelor's (or higher) degree (Statistics, Mathematics, Engineering, Computer Science, etc.) Nice to have, but not mandatory Experience at a high-growth fintech company or financial services company Exposure to customer-facing or GTM-facing analytics or fraud issue triaging Background in identity risk, AML, payments fraud, or compliance analytics Things that enable a fulfilling, healthy, and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off. Flexible working ☕ We support a flexible workplace. If you feel comfortable at home, please work from home. If you'd like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment. Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan. Retirement goals💡Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 We offer every Rainmaker an equity option plan so we can all benefit from our success. Rain Cards 🌧️ We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing. Health and Wellness 📚 High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! Team summits ✨ Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.

Join the Tilt team At Tilt (formerly Empower), we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. Named among the next billion-dollar startups, we're not just changing how people access financial products - we're creating a new credit system that backs the working, whatever they're working toward. The Opportunity: Staff Data Scientist Our data scientists are responsible for the entire machine learning model development process from conception with stakeholders, creation of model pipelines, technical development, deployment, and partnership with the credit, product, and finance teams to make business decisions. The ideal candidate is passionate about using data and models to drive business growth and help customers improve their financial situations. For this role, we're looking for a seasoned data scientist to work within our talented DS team for Tilt Cash Advance and Thrive Line of Credit products. This individual will own creating and improving credit risk models, building ML based paycheck detection algorithms to help the business decrease loss rates and increase approval rates. The right person for this role is someone who shines while solving complex problems and is comfortable with a wide variety of technical tools. Tilt is a remote-first company. We drive connectivity through regular company offsites. Travel for company offsites is expected at a minimum 2 times a year. How You'll Make an Impact Grow user base and increase retention through machine learning and analytics Build machine learning models with large scale data sets to address business priorities Design and influence strategies on underwriting, marketing, fraud and customer experience Work closely with our engineering team as you implement models in production Collaborate effectively with operations and product to ensure the work fits into the broader strategy and business context Develop data standards and analytics pipelines to facilitate current and future analysis Why You're a Great Fit BS degree in engineering, computer science, finance or mathematics 6+ years industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling Deep understanding of statistics and machine learning techniques, including regression, classification, clustering and optimization Experience building predictive models from scratch Strong programming skills in Python with intermediate to advanced knowledge of SQL Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc. Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred though not required Comfort working with a variety of cross functional partners in tech, product, credit, and business Exceptionally strong problem solving and communication with the ability to both get in the weeds and communicate to an executive audience Don't meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you. What you'll get at Tilt Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You'll get started with a WFH office reimbursement. Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity. Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards. Visibility is yours: You can count on direct exposure to our leadership team - we're a team where good ideas travel quickly. Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We've visited Vail, San Diego, and Mexico City, to name a few.) Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines. The Tilt Way We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable - brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures. You're pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve.

FuturePlan is the nation's largest third-party administrator (TPA) of retirement plans, partnering with advisors in all 50 states. FuturePlan delivers the best of both worlds: high-touch personalized service from local TPAs backed by the strength and security of a large national firm, Ascensus. Our roots go back decades, with nearly 30 outstanding legacy firms now joined together to deliver unmatched levels of service, innovation and expertise to a fast-growing client base from coast to coast. The FuturePlan team includes more than 500 credentialed plan professionals, 60 actuaries, and one of the industry's largest in-house ERISA teams. Learn more at FuturePlan.com. Job Description Section 1: Position Summary High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit, Cash Balance plans and DB/DC Combo plans. Section 2: Job Functions, Essential Duties and Responsibilities Review, prepare and/or certify client projects and ensure accurate client deliverables including: - Actuarial valuations and reports - Benefit statements - Plan documents, amendments, employee communications (SPDs, etc.) - Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) - IRS determination filings and PBGC (Form 500 series) termination submissions - ASC 715/960 - Perform and review combined plan non-discrimination testing Answer technical questions posed by staff Research the Internal Revenue Code and other technical resources to resolve client issues Provide technical training for staff Provide back up to other teams as necessary Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. Assist with other tasks and projects as assigned Supervision N/A Section 3: Experience, Skills, Knowledge Requirements Bachelor's degree in actuarial science, math or math related field Enrolled Actuary designation with 5 years industry experience Advanced understanding of: - Pension law - Plan documents and IRS favorable determination letters - Actuarial valuations and software systems Excellent technical/analytical skills Ability to research technical issues Ability to explain technical issues to all levels of associates Good verbal and written communication skills Demonstrated expertise with Microsoft Office, particularly Excel applications Demonstrated expertise with industry recognized pension valuation software Detail and accuracy oriented Good time management skills Team Player Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.

The Data Scientist will contribute to the development of AI and Generative AI (GenAI) models and workflows tailored for the healthcare domain. This role will work on building solutions that address real-world challenges. This role offers an exciting opportunity to apply knowledge of GenAI, machine learning, and healthcare-specific requirements while collaborating with a multidisciplinary team of experts. Develop workflows to enhance the efficiency and accuracy of note-taking in healthcare settings. Collaborate with data engineers, product teams, and clinical experts to ensure solutions align with healthcare workflows and standards. Address healthcare-specific challenges such as HIPAA compliance, medical terminology integration, and adherence to standards like ICD, CPT, and HL7/FHIR. Stay updated with the latest advancements in GenAI, NLP, computer vision, and healthcare AI technologies. Perform other duties that support the overall objective of the position. Education Required: Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field. Or, any combination of education and experience which would provide the required qualifications for the position. Experience Required: Experience working with multiple GenAI models, including open-source. Experience with natural language processing (NLP) and computer vision techniques. Experience in data preprocessing and model deployment. Knowledge, Skills & Abilities: Knowledge of: Strong foundational knowledge of generative AI techniques and frameworks (e.g., Transformers, GPT, diffusion models). Proficiency in machine learning tools and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with healthcare data structures, workflows, and challenges (e.g., EMR/EHR integration, ICD/CPT coding, HL7/FHIR). Knowledge of voice recognition and transcription technologies is a plus. Skill in: Strong programming skills in Python or similar languages. Strong problem-solving skills and a growth mindset. Ability to: Eagerness to learn and adapt in a fast-paced, mission-driven environment. The company has reviewed this to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate. NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. A day in the life (Responsibilities) As a Principal Data Scientist, you'll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. Own the full machine learning lifecycle-from problem framing and data exploration to modeling, deployment, and monitoring-for mission-critical initiatives. Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. What you'll need to thrive (Requirements) 10+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. Deep focus on mentorship, having leveled up more junior data scientist You've been a technical leader for core data science at Toast Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation. Experience working with real-world product data at scale and translating ambiguous problems into well-scoped ML solutions. Experience with distributed data processing and training, real-time inference, and ML Ops frameworks Prior experience mentoring other data scientists or acting as a tech lead. Experience leading experimentation (e.g., A/B testing), causal inference, and real-time decision systems. Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow). Strong grasp of software engineering principles including modular design, version control, testing, and CI/CD. Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker, Athena, Glue, DynamoDB, and Bedrock. Excellent communication skills and the ability to influence both technical and non-technical stakeholders. Strong business acumen with the ability to align technical solutions with company goals. Bonus ingredients* : An advanced degree in Computer Science, Statistics, or a related STEM field is preferred. Familiarity with MLOps tooling for monitoring, drift detection, retraining, and explainability. Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF) to improve model performance and alignment. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it's a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters' changing needs. Learn more about our benefits at ******************************************** #LI-Remote The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range$143,000-$229,000 USD Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient-when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: ********************************************* Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, 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.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. What you'll do Be the technical lead for the forecasting team. Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale. Lead the full modeling lifecycle end to end: problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability. Set the forecasting technical vision. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models. Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high‑visibility role with regular VP-level exposure. Drive broader time‑series impact beyond point forecasts-e.g., anomaly detection, automated root‑cause analysis, campaign/channel attribution, and early‑warning signals for business health. Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms, executive decision-making, and strategic planning. Lead and mentor. Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching. What we're looking for 8+ years of combined post-graduate academic and industry experience building and shipping production time‑series/forecasting models with web‑scale data. A track record of delivering adjustable, well‑calibrated, and explainable forecasting systems that informing decision-making. Strong background in time‑series modeling and applied statistics/econometrics; advanced degree (MS or PhD) preferred. Expertise in at least one scripting language (ideally Python). Strong SQL skills (Hive/Presto/Spark SQL) and experience building reliable data pipelines/workflows (e.g., Airflow). Business acumen and ownership mindset-able to simplify complex problems, connect model outputs to business levers, and prioritize for impact. Excellent communication skills-able to distill complex analyses and uncertainty into concise narratives for executive audiences. Proven technical leadership-success leading critical projects and materially influencing the scope and output of other contributors. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$164,695-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.