Senior data scientist jobs in Napa, CA

About us: Intuitive is an innovation-led engineering company delivering business outcomes for 100's of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers: Modernization & Migration Application & Database Modernization Platform Engineering (IaC/EaC, DevSecOps & SRE) Cloud Native Engineering, Migration to Cloud, VMware Exit FinOps Data & AI/ML Data (Cloud Native / DataBricks / Snowflake) Machine Learning, AI/GenAI Cybersecurity Infrastructure Security Application Security Data Security AI/Model Security SDx & Digital Workspace (M365, G-suite) SDDC, SD-WAN, SDN, NetSec, Wireless/Mobility Email, Collaboration, Directory Services, Shared Files Services Intuitive Services: Professional and Advisory Services Elastic Engineering Services Managed Services Talent Acquisition & Platform Resell Services About the job: Title: Imaging Data Engineer/Architect Start Date: Immediate # of Positions: 1 Position Type: Contract/ Full-Time Location: San Francisco, CA Notes: Imaging data Engineer/architect who understands Radiology and Digital pathology, related clinical data and metadata. Hands-on experience on above technologies, and with good knowledge in the biomedical imaging, and data pipelines overall. About the Role We are seeking a highly skilled Imaging Data Engineer/Architect to join our San Francisco team as a Subject Matter Expert (SME) in radiology and digital pathology. This role will design and manage imaging data pipelines, ensuring seamless integration of clinical data and metadata to support advanced diagnostic and research applications. The ideal candidate will have deep expertise in medical imaging standards, cloud-based data architectures, and healthcare interoperability, contributing to innovative solutions that enhance patient outcomes. Responsibilities Design and implement scalable data architectures for radiology and digital pathology imaging data, including DICOM, HL7, and FHIR standards. Develop and optimize data pipelines to process and store large-scale imaging datasets (e.g., MRI, CT, histopathology slides) and associated metadata. Collaborate with clinical teams to understand radiology and pathology workflows, ensuring data solutions align with clinical needs. Ensure data integrity, security, and compliance with healthcare regulations (e.g., HIPAA, GDPR). Integrate imaging data with AI/ML models for diagnostic and predictive analytics, working closely with data scientists. Build and maintain metadata schemas to support data discoverability and interoperability across systems. Provide technical expertise to cross-functional teams, including product managers and software engineers, to drive imaging data strategy. Conduct performance tuning and optimization of imaging data storage and retrieval systems in cloud environments (e.g., AWS, Google Cloud, Azure). Document data architectures and processes, ensuring knowledge transfer to internal teams and external partners. Stay updated on emerging imaging technologies and standards, proposing innovative solutions to enhance data workflows. Qualifications Education: Bachelor's degree in computer science, Biomedical Engineering, or a related field (master's preferred). Experience: 5+ years in data engineering or architecture, with at least 3 years focused on medical imaging (radiology and/or digital pathology). Proven experience with DICOM, HL7, FHIR, and imaging metadata standards (e.g., SNOMED, LOINC). Hands-on experience with cloud platforms (AWS, Google Cloud, or Azure) for imaging data storage and processing. Technical Skills: Proficiency in programming languages (e.g., Python, Java, SQL) for data pipeline development. Expertise in ETL processes, data warehousing, and database management (e.g., Snowflake, BigQuery, PostgreSQL). Familiarity with AI/ML integration for imaging data analytics. Knowledge of containerization (e.g., Docker, Kubernetes) for deploying data solutions. Domain Knowledge: Deep understanding of radiology and digital pathology workflows, including PACS and LIS systems. Familiarity with clinical data integration and healthcare interoperability standards. Soft Skills: Strong analytical and problem-solving skills to address complex data challenges. Excellent communication skills to collaborate with clinical and technical stakeholders. Ability to work independently in a fast-paced environment, with a proactive approach to innovation. Certifications (preferred): AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or equivalent. Certifications in medical imaging (e.g., CIIP - Certified Imaging Informatics Professional).

, Inc. Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco. About the Team At Stitch Fix, our data science team combines data insights with expert human judgment to generate innovative recommendations that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members have autonomy to deliver impact through analyzing data, building reusable tools & processes and integrating with live engineering services. The diversity of the problems that we work on, and the data-rich environment of our business, make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. We are looking for data scientists and leaders to join us as we revolutionize retail. The Logistics Algorithms team helps the business put the right things in the right places and at the right times in order to delight our clients and efficiently operate the business. Team members are owners of the health and efficiency of our fulfillment network, ensuring inventory availability for all clients so they can find the fits and styles they love. Alongside partnerships in merchandise planning, finance, and operations, we build tools to optimally manage the ingestion and circulation of merchandise and to power decision frameworks that help the business understand impacts through leveraging data insights in how inventory can work best to support the client journey. About the Role This role will combine technical expertise in data science with strong decision-making capabilities to drive data-informed strategic decisions across the organization. The ideal candidate will have a passion for solving complex business problems, utilizing data to derive insights, and providing actionable recommendations that guide key business decisions. As a Data Scientist at Stitch Fix, you will design, implement, and validate improvements to the way our inventory surfaces to clients, improving how we match our finite assortment of available inventory to our client demand. Optimizing our inventory has considerable opportunity for impact at Stitch Fix, by combining a deep focus on ensuring a client-right approach to inventory management with smart, active processes to increase business efficiency and unit margin. You're excited about this opportunity because you will… Build key relationships with stakeholders across product, engineering, finance, and operations and collaborate on translating business challenges into analytical questions that can be addressed using data science techniques Use decision-modeling frameworks, such as simulations, optimization models, and A/B testing, to assess potential outcomes and guide decision-making. Solution at high speed with a small, agile team of coworkers to produce outsized impact on the business Have the autonomy to identify unaddressed problems in the business as well as offer new, improved solutions to existing challenges Build tools and dashboards to support data-driven decision-making and empower non-technical stakeholders to leverage data insights in day-to-day decisions. Be exposed to a wide-open field of opportunity for impact with plenty of challenges to make your own Work in concert with and learn from a large, diverse, and world-class Algorithms team towards the common goal of transforming the way people find what they love. We're excited about you because… You have proficiency in Python You have experience with machine learning frameworks such as scikit-learn, statsmodels and other explainable predictive algorithms You're comfortable with SQL and experience working with large datasets to gather insights You have an understanding of statistical principles and how to apply them to data and experimental results, and can communicate derived insights to stakeholders to drive action You drive for resiliency. You take a principled approach to complexity, and can make smart bets on where to invest time and system burden for maximum business impact You're curious about what's happening outside your immediate sphere and how you can leverage insights elsewhere inside the domains you own You have familiarity with data visualization tools such as matplotlib, seaborn, looker etc You're happiest as a team player, able to balance time against multiple systems and work streams with defined objectives Why you'll love working at Stitch Fix... We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You'll bring these characteristics to life in everything you do at Stitch Fix. We cultivate a community of diverse perspectives- all voices are heard and valued. We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. We win as a team, commit to our work, and celebrate grit together because we value strong relationships. We boldly create the future while keeping equity and sustainability at the center of all that we do. We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact. We offer comprehensive compensation packages and inclusive health and wellness benefits. Compensation and Benefits This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, location, and performance.This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. Salary Range$106,000-$177,000 USD This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data. Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: **************************************************************** Recruiting Fraud Alert: To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at ************************************** or ************************************** Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email *********************. You can read more about Recruiting Scam Awareness on our FAQ page here: ***************************************************************************************

LifeLong Medical Care has an exciting opportunity for a Data Scientist to provide programming support to build analytic applications to support business decision making in the organization. This is a part time, 30 hour/week, benefit eligible position. LifeLong Medical Care is a multi-site, Federally Qualified Health Center (FQHC) with a rich history of providing innovative healthcare and social services to a wonderfully diverse patient community. Our patient-centered health home is a dynamic place to work, practice, and grow. We have over 15 primary care health centers and deliver integrated services including psychosocial, referrals, chronic disease management, dental, health education, home visits, and much, much more. Benefits Compensation: $71k - $75k/year. We offer excellent benefits including: medical, dental, vision (including dependent and domestic partner coverage), generous leave benefits including ten paid holidays, Flexible Spending Accounts, 403(b) retirement savings plan. Responsibilities Under the supervision of the Manager of Analytics, the data scientist is a senior and key part of data analytic team, developing data insights through reporting and provides assistance to all data reporting tool users in Lifelong Medical Care, including documentation of report requirements and report implementations. The senior analyst is the core content expert for designated subjects as assigned by Manager of Analytics or designee Maintains integrity of the data warehouse in their content areas or as assigned Develops and maintains internal reporting services platform using SSRS and Tableau. Supports Data Analysts and Junior Analysts in report development. Provides analytic support and data insights to one or multiple departments and develops a variety of complex ad hoc, production and/or trend reports to support business decisions and operational processes for internal and external clients. Collaboratively develops data strategy for core content area Arranges project requirements in programming sequence by analyzing requirements; preparing a work flow chart and diagram using knowledge of computer capabilities, subject matter, programming language, and logic. Communicates with clients and key stakeholders to develop and create specification analytical applications. Develops and maintains applications and databases by evaluating client needs; analyzing requirements; developing software systems. Performs additional duties in support of the team and immediate reporting need of other departments as assigned by supervisor. Protects operations by keeping information confidential and complies with HIPAA requirements. Qualifications Commitment to the provision of primary care services for the underserved with demonstrated ability and sensitivity in working with a variety of people from low-income populations, with diverse educational, lifestyle, ethnic and cultural origins. Be creative and mature with a “can do,” proactive attitude. Ability to effectively support, motivate and supervise staff, encourage and nurture development and growth, to build a strong and productive team. Strong organizational, administrative, multi-tasking, prioritization and problem-solving skills. Ability to work effectively under pressure in a positive, friendly manner and to be flexible and adaptive to change. Ability to take initiative, work independently and make sound judgments within established guidelines; understand and apply oral and written instructions; establish and maintain effective working relations with staff, clinical providers, managers and external agencies or organizations. Excellent interpersonal, verbal, and written skills and ability to effectively work with people from diverse backgrounds and be culturally sensitive. Work in a team-oriented environment with a number of professionals with different work styles and support needs. Conduct oneself in internal and external settings in a way that reflects positively on LifeLong Medical Care as an organization of professional, confident and sensitive staff. Ability to continuously scan the environment, identifying opportunities for improvement and intersections with other departments of LifeLong Medical Care and partner organizations. Job Requirements Bachelor's degree (Masters preferred) in Computer Science or a related field or an equivalent combination of education and/or experience. Minimum 10 years of experience in programming and data analysis involving duties listed above. Experience in Healthcare related field and/or data reporting related work and data visualization development Excellent skills in SQL scripting and knowledge of database development. Basic understanding of SSIS Proficiency in Microsoft Offices, including Excel, PowerPoint, Word. Job Preferences Community Health Center experience. Microsoft Certified Solution Associate (MCSA) in SQL database development.

At Clorox, we champion people to be well and thrive by doing the right thing, putting people at the center, and playing to win. Led by our IGNITE strategy, we build brands that make a positive difference in people's lives around the world. And we know that success requires head, heart, AND guts - all three, every day - coming together to work simpler, faster, bolder, and more inclusively. Interested? Join us to #IgniteYourCareer! Your role at Clorox: Clorox is transforming its data & technology capabilities and culture to accelerate purpose-driven business growth. We are looking for a passionate Data Scientist to join our team and help us build the future of forecasting and business planning. In this role, you will be responsible for developing and deploying forecasting models using a variety of techniques, including machine learning, statistics, and data mining. You will also be responsible for designing and implementing data pipelines to collect, clean, and prepare data for forecasting models. Forecasting team would drive this transformation through embedding predictive analytics and data science capabilities into the global decisions, empowering business units with scalable, reusable models. This position reports to Associate Director, Enterprise Analytics. In this role, you will: Deliver end-to-end analytics and data science solutions from idea conception through planning, requirements, design, development, testing, production, and deployment/business process integration Oversee the solution's ML Ops from a model standpoint, own the management of data & model drift Retrain the models regularly, upgrade the models and associated technical pipelines, such as addition of signals or adaptation of the models to a change in input source / format Do first line and second line model maintenance incl. advanced debugging whenever necessary; coordinate with engineers for specialized back-end and UI upgrades / debugging Collaborate with cross-functional stakeholders/SMEs throughout product solution lifecycle to ensure requirements are met and solutions are fully integrated in business processes to deliver value Evaluate existing and new data science tools and techniques, lead the development of data science best practices across the enterprise What we look for: 8 plus years of overall data science experience 3 plusyear business experience in a Data Science or Advanced Analytics role in the industry (must have demonstrated working with business units vs academic) Deep understanding and experience with advanced statistics, time series forecasting, machine-learning models, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use cases Experience in data management, e.g., wrangling, extraction, normalization Ability to build industrialized data pipelines Proficiency in SQL and Python (required) R / Scala Knowledge of big data framework like Spark is preferred Ability to navigate, collaborate and deliver production-grade code in a complex industrialized code base Experience with standard SDLC process and DevOps including version-control (GitHub/SVN) and CI/CD Experience using business intelligence tools like Power BI / Tableau Experience in Azure and Databricks are a plus Understanding of design and architecture principles is a plus Good communication and presentation skills: ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels; ability to convey insight through storytelling Strong project management skills to stay on top of the timelines and deliverables Autonomy and creativity with an ability to design suitable technical solutions to solve business problems Bachelor's degree in Statistics, Data Science, Applied Mathematics, Computer Science, Business Analytics, or related quantitative disciplines (Master's degree preferred) Workplace type: Hybrid or Remote We seek out and celebrate diverse backgrounds and experiences. We're looking for fresh perspectives, a desire to bring your best, and a non-stop drive to keep growing and learning. At Clorox, we have a Culture of Inclusion. We believe our values-based culture connects to our purpose and helps our people be the best versions of themselves, professionally and personally. This means building a workplace where every person can feel respected, valued, and fully able to participate in our Clorox community. Learn more about our I&D program & initiatives here. [U.S.]Additional Information: At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility / adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $116,700 - $229,800-Zone B: $107,000 - $210,700-Zone C: $97,200 - $191,500All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times.

About The Role & Team Join Disney's Direct to Consumer Experimentation and Causal Inference Data Science team as a Sr Data Scientist, where you'll transform complex data into strategic business decisions that shape the future of streaming entertainment. Collaborating closely with cross-functional partners across the Business, you'll architect and execute sophisticated experiments that optimize every aspect of the subscriber journey-from initial acquisition through long-term retention and revenue growth. As part of Disney's rapidly evolving streaming ecosystem, you'll tackle complex business challenges that directly impact millions of subscribers across Disney+, Hulu, and ESPN. Your insights will shape Product roadmaps, pricing strategies, and user experience optimizations that drive measurable business growth. What You'll Do * Design and Execute Experiments: Lead end-to-end A/B testing initiatives and Geo Experiments, from hypothesis formation and experimental design to statistical analysis and business recommendations * Apply Causal Inference Methods: Leverage advanced techniques including difference-in-differences, instrumental variables, propensity score analysis, and other quasi-experimental designs to extract actionable insights from observational data * Build Scalable Solutions: Develop experimentation and causal inference tools and frameworks that can scale across Disney's businesses * Deliver Strategic Insights: Partner with stakeholders to identify optimization opportunities and translate complex analytical findings into clear business recommendations * Influence Executive Decisions: Present findings and recommendations to senior leadership, effectively communicating statistical concepts to non-technical stakeholders Qualifications * Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a related field. * 5+ years of experience conducting strategic analyses and communicating insights to drive decision-making. * Expertise in Python, R, or similar languages, including experience building software packages for statistical analysis. * Expertise in SQL. * Proficient in analyzing data and developing ML models using Python (with ML frameworks like LGBM, scikit-learn, etc.). * Strong background in statistical modeling: regression, classification, time series forecasting, causal inference, and other techniques. * Demonstrated ability to translate complex data into clear and actionable narratives, and the ability to communicate opportunities and challenges to multiple stakeholders. * Robust knowledge of causal inference approaches such as propensity scores, synthetic controls, difference-in-differences, doubly robust methods, meta learners, and uplift modeling. * Deep understanding of assumptions required for causal inferences, including the foundational statistical concepts that underpin the approaches. * Proven ability to manage end-to-end experimentation and causal inference analyses, from initial requirements to impactful outcomes. Desired Qualifications * Masters or PhD in quantitative field with an emphasis on experimentation or causal inference. * Experience applying strategic thinking to analyze market trends and consumer insights, with preference for candidates who have worked with subscription-based business models. * Ability to adapt quickly in a fast-moving environment with shifting priorities. * Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, and Github. The hiring range for this position in Santa Monica, CA is $141,900 to $190,300 per year, in San Francisco, CA is $155,400 to $208,400 and in New York City, NY is $148,700 to $199,400. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

Job Description Mochi Health's mission is to be the discovery layer of healthcare. We are building a platform that makes it easier for patients to find the right providers, access the right medications, and take control of their health with transparency and trust. Over the past few years, we have experienced rapid growth by combining operational excellence, clinical expertise, and innovative technology to deliver care that is more human, intuitive, and effective. From pharmacy pricing transparency and personalized medication management, to long-term medical record access and community-based chronic illness support, Mochi is creating a new model of care that empowers patients, providers, and pharmacies alike. We believe the future of healthcare is personal, and we are building the technology to power it. At Mochi Health, you will join a team that values inclusivity, collaboration, and bold thinking, and you will have the opportunity to do the most meaningful work of your career. $150,000 - $220,000 Full-time / Onsite (5 days/week) About The Role We're a telehealth company helping people lose weight at scale. Experimentation is central to our growth and patient experience-we need to know what truly works, what doesn't, and why. We're looking for a Senior Data Scientist who thrives on designing, running, and interpreting experiments across product, pharmacy, and design. You'll work side-by-side with clinicians, designers, and engineers to push forward a culture of evidence-based decision-making. This role is ideal for someone who wants to set the standard for how experiments are run at Mochi Health-bringing statistical rigor, practical intuition, and a deep sense of ownership. What You'll Do Own the design and execution of experiments (A/B tests, quasi-experiments) across pharmacy, design, and product flows Partner with design and pharmacy teams to ideate, prioritize, and scope impactful experiments Build frameworks and tools to standardize experimentation and causal inference across teams Ensure experiment integrity-sample sizing, randomization, stopping rules, multiple-testing corrections Move beyond binary "did it win?" to nuanced insights: heterogeneous treatment effects, and trade-offs Automate experiment reporting and integrate results into dashboards / internal tools Mentor teammates and set best practices for experimentation at the company Who You Are Bachelor's or Master's in a quantitative field (e.g., Statistics, Engineering, Economics) Bachelor's, Master's, or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics) 4+ years of industry experience in applied experimentation (growth or product preferred) Deep expertise in causal inference methods (A/B testing, DiD, matching, Bayesian methods) Strong Python and SQL skills; capable of building reusable frameworks, not just one-off analyses Clear communicator who can translate complex experimental results into actionable recommendations Comfortable with ambiguity, fast iteration, and working across very different teams (Example: pharmacy, design, ops) Motivated by impact - you want your work to directly shape patient care and company growth Life at Mochi 💫 At Mochi, we believe your best work happens when you feel your best-so we've designed an environment that fuels your creativity, supports your growth, and makes every day exciting. 🥗 Daily Meals and Espresso Bar - Breakfast, lunch, and dinner every weekday. Our on-site barista keeps the espresso and matcha flowing all day 💰 Pre-Tax Commuter Perks - Save on transit and parking through pre-tax commuter benefits 💸 Top-of-Market Compensation - We offer competitive salaries along with generous equity packages so you can share in the success you help create 💣 Profitable and Rapid Growth - We're scaling fast, with financial discipline and long-term vision. No VC constraints, just sustainable momentum and smart decisions 🚀 High-Impact Work - Help shape the future of digital healthcare. Your work here directly improves lives and scales nationwide 👩️ 💻 World-Class Team - Collaborate with teammates from Tesla, SpaceX, Citadel, Harvard, IIT, and more. We value excellence, humility, and empathy in equal measure ✨ Comprehensive Benefits - 401(k) with match, generous time off, life insurance, and high-quality medical, dental, and vision plans. 🌴 Time to Recharge - Enjoy unlimited PTO, generous company holidays, and true flexibility. We trust you to take the time you need to rest, reset, and thrive. 🧘 Wellness First - From weekly mindfulness sessions to group workouts and fitness perks, your physical and mental health are top priority 🎉 Team Socials and Community - We make time to connect through regular socials, happy hours, and spontaneous events. Our stocked kitchen doesn't hurt either 📍 Downtown SF HQ - Our San Francisco office is just steps from BART, Muni, and great food. It's designed for deep work and casual collaboration #LI-Onsite The base salary for this full-time position ranges from $150,000 to $220,000, in addition to equity and benefits. The salary range listed in each job posting represents the minimum and maximum targets for new hire salaries across all locations. Actual compensation within this range is determined by various factors, such as job-related skills, experience, relevant education or training, and location. Workplace Policy Mochi Health is an in-person company based in San Francisco, CA. Our team works together in person five days a week to foster collaboration, innovation, and strong connections. We believe that face-to-face interaction builds a culture of excellence and allows us to deliver the best outcomes for the patients and providers we serve. For office-based roles, the standard schedule is Monday through Friday, 9:00 a.m. to 7:00 p.m. Actual hours may vary depending on business needs and role responsibilities. All employees receive meal and rest breaks in accordance with applicable state and local laws. For designated remote roles, this in-person policy does not apply. Equal Opportunity Mochi Health is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring. Candidate Privacy Notice Please review Mochi Health's Candidate Privacy Notice here. Accommodations Mochi Health complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law. If you need any assistance or accommodations due to a disability, please contact us at ****************.

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $201,700 - $267,300 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

Who We Are Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. Description As a Senior Data Scientist at Verily, you will be supporting our core mission to drive innovation in evidence generation for research and care decisions. We are building new types of longitudinal datasets that have foundations of RWD sources, such as EHRs (electronic health records) and claims data, and are augmented with prospective data collection. You will develop and deploy models that enable scalable curation of RWD. This will include multi-source integrations and reconciliations, creating derived features from the source data (e.g., abstraction of clinical concepts from unstructured data), and facilitating data quality assessments. You will work with a diverse cross-functional team to build reusable and scalable tools and to deliver products that unlock information from structured and unstructured clinical data. Responsibilities * Work closely with cross-functional partners to design and create longitudinal datasets integrating multiple data sources. * Build and implement highly accurate machine learning models / AI tools using sparsely labeled healthcare datasets. * Implement, build on and augment existing LLM/NLP tools to maximize the value of using unstructured medical data across a range of research and care applications. * Become an expert in our data's capabilities and limitations. Solve difficult, non-routine analysis problems, handling data challenges from a real-world setting. Qualifications Minimum qualifications * Advanced degree in a quantitative discipline (e.g., data sciences, statistics, biomedical informatics, computer science, applied mathematics, or similar), or equivalent practical experience. * 3+ years experience applying advanced machine learning and AI techniques (supervised and unsupervised methods, LLMs, NLP) to clinical data. * Direct experience working with and curating real-world data, such as EHR, including a deep understanding of the complexities of this structured and unstructured clinical data. * Strong proficiency in Python. Preferred qualifications * Familiarity with medical terminologies and ontologies. * Familiarity with software engineering practices and experience developing production software. * Experience working with clinical subject matter experts. * Ability to work cross-functionally on teams, with a tolerance for ambiguity. * Creative and methodical problem solving: understand needs, identify options, form hypotheses, generate robust results, make informed decisions, and learn faster through feedback. This role is eligible for Verily-sponsored immigration support. The US base salary range for this full-time position is $119,000 - $169,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

This is a job that we are recruiting for on behalf of one of our customers. To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask. Senior Data Scientist Company Description: VC-backed AI product intelligence platform Job Description: Join a pioneering team building a simulation engine for adaptive software. As a Senior Data Scientist, you'll enhance foundational data science infrastructure, from pipelines to experimentation. Apply expertise in statistical modeling, ML, and data engineering to design and scale data-driven solutions, directly shaping how customers de-risk product bets and personalize experiences before launch. Location: San Francisco, USA Why this role is remarkable: Join a team creating the simulation layer for software, reinventing product development by replacing traditional A/B testing. Backed by top-tier VCs and product/engineering leaders from leading tech companies, ensuring world-class support and resources. Blend behavioral modeling, cognitive science, and cutting-edge AI to solve real product challenges, shipping fast and seeing impact quickly. What you will do: Build and optimize robust data pipelines (ETL/ELT) across SQL/NoSQL systems, ensuring reliability and quality of large-scale event/log data. Collaborate with GenAI experts, behavioral scientists, and ML engineers to create synthetic personas and customer-ready reports and presentations. Apply advanced statistical modeling, causal inference, and machine learning to analyze user behavior, design experiments, and generate actionable insights. The ideal candidate: Strong proficiency in Python for data science and machine learning workflows, with hands-on experience in frameworks like PyTorch, TensorFlow, or Scikit-learn. Expertise in large-scale unstructured data manipulation, specifically inferring user characteristics and traits from complex datasets. Solid experience preparing comprehensive reports and slide decks for user segmentation and behavioral insights, coupled with a strong foundation in statistics, probability, and causal inference. How to Apply: To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website Step 2. Click 'Speak with Jack'. Step 3. Login with your LinkedIn profile. Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions Step 5. If the hiring manager would like to meet you, Jack will make the introduction

At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system-driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we've supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. Data is core to how we deliver care, allocate clinicians, and understand population risk-and we're now building the team to scale that impact. About the Role We're hiring a Senior / Staff Data Scientist to tackle high-impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You'll turn messy, real-world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed.What you will do Explore clinical, operational, and patient engagement data to surface actionable insights Analyze routing, capacity planning, and supply-demand dynamics across regions Identify drivers of preventive care engagement and patient follow-through Predict cancellations, risk, and future care needs using behavioral and clinical signals Design and evaluate A/B experiments across product, growth, and operations Support internal teams with dashboards, analytics, and ad hoc decisions Help shape the Data function's standards, tooling, and processes as an early leader What you have done 5+ years in data science, advanced analytics, or applied data modeling Worked with large, messy datasets to answer ambiguous, high-stakes questions Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar Written high-quality SQL across warehouses like BigQuery, Snowflake, or Redshift Influenced product, ops, or strategy decisions through data insight and storytelling Presented findings to leadership and collaborated with cross-functional teams What gives you an edge Experience with Python, Pandas, Scikit-learn, or ELK (Elasticsearch + Kibana) Exposure to GCP data tools like BigQuery, DataFlow, or DataForm Familiarity with healthcare data (claims, HL7, CCDAs, HIEs) Experience with logistics, routing, or operational optimization problems Designed or analyzed growth experiments or user behavior funnels Communicated insights to C-level stakeholders or mentored junior talent Our Tech Stack Python SQL Superset, Looker, Tableau, Grafana BigQuery, Snowflake, Redshift Elasticsearch / Kibana FHIR, HL7, claims data (bonus) Pandas, Scikit-learn, DataForm, DataFlow What we offer Meaningful pre-IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16-week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long-term disability coverage Free daily lunch in-office Annual learning stipend $180,000 - $225,000 a year Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending **********************. Please ensure that you're only replying to emails that end ************************.

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit **************** Role DescriptionThe Data Scientist, Fleet Health will be a key member of Gridware's Fleet team, focused on building fleet health predictive models, thresholds, and optimization frameworks to ensure 99% uptime across our rapidly scaling network of IoT devices. This role will drive the development of advanced intelligence for forecasting device health, predicting potential installation performance, and establishing data-driven criteria for detecting and remediating device degradation. The ideal candidate will bring a strong foundation in applied machine learning and forecasting, comfort working with real-world sensor and fleet data, and a passion for scaling intelligent systems that power resilient clean energy infrastructure. You will work closely with engineering, operations, and product teams to apply insights that both optimize today's fleet performance and inform the evolution of tomorrow's solutions. Responsibilities Develop predictive and forecasting models to anticipate device health issues, solar availability, and connectivity performance, driving proactive interventions and deployment planning. Define, test, and refine health thresholds to classify degradations, detect regressions, and optimize fleet performance across diverse operating conditions. Design and evaluate statistical tests and simulations to measure impact, uncover downtime drivers, and identify optimization opportunities. Collaborate with engineering, fleet operations, and software teams to embed intelligence into automated monitoring and remediation pipelines at scale. Communicate insights and contribute to scalable fleet intelligence frameworks that support growth from tens of thousands to millions of devices. Required Skills Bachelor's, Master's degree, or PhD in Engineering, Statistics, Data Science, or a related quantitative field. 5+ years of applied experience in data science with large-scale, real-world systems (IoT, clean tech, connectivity, or related domains). Expertise in forecasting, anomaly detection, and predictive modeling, with experience handling time-series, sensor, or geospatial datasets. Proficiency in Python with scientific and ML libraries (NumPy, Pandas, SciPy, scikit-learn, Keras, PyTorch) and familiarity with data platforms (SQL, Spark, etc.). Strong communicator with the ability to design experiments, validate models, and translate technical findings into actionable insights for cross-functional teams. Bonus Skills Experience forecasting solar generation, connectivity performance, or energy resource availability. Exposure to distributed sensing systems in energy, seismic monitoring, aerospace, industrial IoT, or environmental science. Background in working with power-constrained, communication-constrained, or solar-powered devices. Experience scaling predictive systems across large and growing hardware fleets. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! BenefitsHealth, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday)“Off the Grid”, a two week per year paid break for all employees. Commuter allowance Company-paid training

The Senior Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Senior Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Senior Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About TendoMake an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job LocationTendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.Responsibilities Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows. Develop analytic data sets and use statistical software to analyze data sets as requested. Use third party software tools in the development of queries and visualizations. Coordinate with different functional teams to implement models and monitor outcomes. Requirements Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. 5+ years of experience in data analysis software, with data science experience preferred. 5+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains. Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning. Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc. Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows. Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering. Strong problem-solving skills with an emphasis on data analytics. Excellent written and verbal communication skills for coordinating across teams. Nice to Have Experience in the healthcare setting preferred. Experience with Epic EMR data preferred, but not required. Experience with healthcare financials/claims preferred, but not required. Base Salary Range$127,500-$172,500 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. BenefitsFor full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

#TeamNextdoor Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby - neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 305,000 neighborhoods across 11 countries. Meet your Future Neighbors As a Data Scientist 4 with Nextdoor, Inc. (San Francisco, CA) (Multiple Positions Open) (100% Telecommuting permitted) you'll: Develop and implement analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining and data modeling to extract and analyze information from large structured and unstructured datasets. Run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups. Develop and share key strategic insights through data analysis, evaluating the performance and impact of the product team. Conduct causal inference studies to deeply understand Company's user behavior and acquisition pattern. Build scalable metrics and dashboards to inform product strategy. Collaborate with leaders across operations, engineering, product, and marketing, to identify the most impactful ways for analytics to drive decision making and accelerate growth. Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations). Conduct deep-dive and root cause analyses to identify new opportunities as well as bugs in the system, influencing stakeholders in roadmap discussions and prioritizing important initiatives. What You'll Bring to The House Master's degree or foreign equivalent in Computer Science, Information Systems, Engineering, or closely related quantitative discipline. Three (3) years of experience in the position offered or as a Data/Product Analyst, or closely related position in data sciences. Alternatively, employer will accept a Bachelor's degree in the fields above followed by five (5) years of progressive, post-bachelor's experience in positions specified above. Must have experience in the following: Utilizing statistical hypothesis testing to design and run experiments that test the statistical significance of changes in the product on key performance metrics; Utilizing SQL for data mining and manipulation, analysis, and modeling of data sets to ensure data is reliable to support business growth; Utilizing Python techniques to perform data migration tasks, including data extraction, transformation and loading; Evaluating model performance and providing actionable recommendations to optimize product initiatives; Conducting in-depth data exploration and analysis to uncover patterns, trends and anomalies; Utilizing data visualization tools, including Tableau and Looker, to generate reports and build dashboards of business metrics for campaign KPI's and analyze data and create data insights; and Presenting key findings and business insights to stakeholders. Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to be: $206,400 - $236,000/year. We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision - and provide a OneMedical membership for concierge care. #LI-DNI

Our client is looking for a senior data scientist for our first-of-its-kind sales analytics platform, which combines a proprietary, active-learning network with applications that are ready to use, data backed, and built on predictive analyses. Our ideal candidate will have a strong computational background (complimented by Statistics/Math/Algorithmic expertise), a healthy portfolio of dealing with Big Data, a passion for empirical research, a solid understanding of machine learning algorithms, and will absolutely love finding meaning in multiple imperfect, mixed, varied, and inconsistent data sets. You must be a team player who will thrive in a collaborative environment, and you must be driven to create innovative, world-class products and get them to market. Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master's degree required). 1+ years experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods. Ability to aggregate, normalize and process data by authoring predictive algorithms to synthesize and present actionable data insights. Technical mastery in one or more of the following languages/tools to wrangle and understand data: Python (NumPy, SciPy, scikit-learn), R, Matlab, Spotfire, Tableau. Experience with data manipulation and analysis using SQL, no SQL, Java, C, SAS, and machine learning suites such as Mahout, Weka, and RapidMiner. Experience with cloud computing and Hadoop (MapReduce, PIG, HIVE) Experience with third-party API integration. Qualifications Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master's degree required). 1+ years experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods. Additional Information All your information will be kept confidential according to EEO guidelines.

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role: Join Crusoe Energy as a Senior Data Scientist, an early and pivotal hire on our growing central Data Science and Engineering team. This full-time position offers you the unique opportunity to drive significant impact across product analytics, operations, go-to-market strategies, and capacity planning, playing a key role in Crusoe's mission to meet the ever-increasing demand for AI infrastructure and innovate sustainably. What You'll Be Working On: Develop Forecasting & Analysis Models: Build and deploy models for financial forecasting and product analysis to drive strategic decisions. Perform Root Cause Analysis & Prediction: Investigate operational incidents and predict failures, implementing solutions for system reliability and efficiency. Analyze Cloud Infrastructure Products: Conduct deep analysis of cloud infrastructure product usage and performance to identify areas for improvement and guide feature development. Champion Data Quality & Infrastructure: Collaborate with internal teams on initiatives to maintain high-quality data and contribute to the scalable evolution of our modern data infrastructure. What You'll Bring to the Team: Analytical Expertise: Demonstrate deep familiarity with core analytical methods including Monte Carlo simulation, predictive analytics, and time series modeling. Technical Fluency: Possess proficiency in SQL and Python for data analysis, alongside a strong understanding of current data infrastructure architectures. Data Visualization Proficiency: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively. Commitment to Quality: Show a proven track record and passion for data quality. Ownership: As an early hire on the data science team, you'll be expected to act autonomously to drive forward analytics projects. Bonus Points (but not requirements): Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Data Science, Statistics, Computer Science) or equivalent experience. Experience building cloud infrastructure (e.g., AWS, GCP, Azure). Experience on a growing or early-stage data team, contributing to foundational development. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $166,000 - $200,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

About the Team The Strategic Finance team is responsible for some of the largest investment categories at OpenAI. We play a critical role in maximizing OpenAI's long-term value by partnering across the business to allocate and deploy resources for the highest-impact outcomes. We work cross-functionally with Finance, Product, Engineering, and Go-To-Market teams to deliver actionable insights and support strategic decision-making. About the Role As one of the founding Data Scientists on the Strategic Finance Data Science team, you will design, implement, and own critical models, reporting, and analysis. You will work closely with Finance leadership, as well as teams across Research, Applied and Go-To-Market. This role requires deep expertise in predictive modeling, causal inference, and the ability to surface insights to support high-stakes decision-making. This role is based in our San Francisco HQ. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: * Become an expert in OpenAI's data and systems. Partnering with Data Engineering, Finance, and other teams, you'll self-serve data to derive critical insights. * Scale causal inference models to measure the impact of different actions on user growth and financial outcomes. * Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value. * Automate standardized reporting and analysis by building data products or agentic solutions. * Support product pricing and other business decisions with ad hoc analysis. * Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making. * Manage and lead cross-functional data science projects end-to-end. You might thrive in this role if you have: * MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization. * Proficiency in Python, SQL, Tableau, and other analytical tools. * Strong analytical skills and experience working with large, complex data sets. * Proven ability to distill complex data into actionable insights for leadership. * Ability to independently initiate and complete projects, owning them end-to-end. * Excellent communication and storytelling skills when presenting data insights. * Exceptional attention to detail and a commitment to accuracy. You could be an especially great fit if: * You're an enthusiastic self-starter who thrives in fast-paced, dynamic environments. * You're a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed. * You're passionate about technology and artificial intelligence. * You use first-principles thinking to design solutions from the ground up based on user needs and operational realities. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity At Adobe Express, we're on a mission to democratize content creation. Our vision is to provide a platform where anyone, regardless of their background or experience, can effortlessly craft exceptional content that resonates. Are you ready to elevate your data science career? We're seeking a dynamic and motivated hands-on data scientist to join our team. In this strategic role, you'll collaborate with product managers, growth marketers, and the leadership team to drive key decisions that shape the future of our products. If you're passionate about understanding users and optimizing all parts of their journey, this opportunity is tailor-made for you! Join us and help build better software while scaling our capabilities to new heights. Responsibilities * Prioritize and Lead Analytics Initiatives: Dive deep into Adobe Express data to uncover new product and business opportunities. Develop and execute a machine learning strategy and roadmap. * Strategic Partnership: Collaborate with product development teams and leadership to shape business strategy and product roadmaps informed by analytical insights. * Experimentation and Analysis: Design, implement, and analyze A/B experiments. Deliver comprehensive reports and actionable insights that drive product enhancements. * Foster Data Culture: Motivate data science and product teams by championing experimentation and sharing product insights that lead to innovation. * Cross Collaboration & Communication: Work closely with development teams on product instrumentation, user flow analysis, and data capture to ensure robust data foundations. What we're looking for * Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering. Advanced degrees are preferred. * 2+ years of hands-on technical experience in a data science role * Proven ability to explore large datasets, extract meaningful insights, and translate these into real-world results. * Deep fluency in SQL and proficiency in Python * Experience in ML modeling and data inference is highly desirable. * Strong skills in understanding data, coupled with creative thinking and problem-solving abilities. * Demonstrated history of deriving insights from data analyses and effectively communicating these to product and business leaders. * Someone who is a self-starter, takes ownership, and drives solutions to completion, solving problems thoroughly and proactively. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,900 -- $242,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice 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. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate 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. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Job Title: Data Scientist Contract: 6 Months Need 4 years + work experience with . Heavy deep learning AND Machine Learning AND Algorithm experience Additional Information All your information will be kept confidential according to EEO guidelines.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is seeking a product-focused Data Scientist to join our Analytics & Data Science team. In this high-impact role, you'll partner closely with product development teams to transform raw user data into actionable insights that drive growth for Airtable's self-serve business. You'll own critical data pipelines, design and analyze experiments, build dashboards, and deliver strategic insights that inform executive decision-making. This is a unique opportunity to shape the future of a data-driven, AI-native SaaS company and scale analytics best practices across the organization. What you'll do Own and maintain core product data pipelines across DBT, Looker, and Omni, ensuring reliability, scalability, and minimal downtime Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas Lead the development and delivery of company-wide strategic insights that connect user behavior patterns and inform executive decisions Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports Establish trusted partnerships with product managers, engineers, analysts, and leadership as the go-to resource for product data insights and technical guidance Collaborate with leadership to define the analytics roadmap, prioritize high-impact initiatives, and assess resource needs for scaling product analytics capabilities Mentor junior team members and cross-functional partners on analytics best practices and data interpretation; create documentation and training materials to scale institutional knowledge Support end-to-end analytics for all product launches, including tracking implementation, validation, and post-launch reporting with documented impact measurements Deliver comprehensive strategic analyses or experiments that connect user behavior patterns and identify new growth opportunities Lead or participate in cross-functional projects where data science contributions directly influence product or strategy decisions Migrate engineering team dashboards to Omni or Databricks, enabling self-serve analytics Who you are Bachelor's degree in computer science, data science, mathematics/statistics, or related field 6+ years of experience as a data scientist, data analyst, or data engineer Experience supporting product development teams and driving product growth insight Background in SaaS, consumer tech, or data-driven product environments preferred Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery); sets standards and mentors others on best practices Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode) Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels) Proven ability to apply AI/ML tools - from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot) Strong statistical foundation; designs and scales experimentation practices that influence product strategy and culture Translates ambiguous business questions into structured analyses, guiding teams toward actionable insights Provides thought leadership on user funnels, retention, and growth analytics Ensures data quality, reliability, and consistency across critical business reporting and analytics workflows Experience at an AI-native company, with exposure to building or scaling products powered by AI Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and expertise in event taxonomy design Strong documentation and knowledge-sharing skills; adept at creating technical guides, playbooks, and resources that scale team effectiveness Models curiosity, creativity, and a learner's mindset; thrives in ambiguity and inspires others to do the same Crafts compelling narratives with data, aligning stakeholders at all levels and driving clarity in decision-making Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$205,200-$266,300 USDFor all other work locations (including remote), the base salary range for this role is:$185,300-$240,000 USD Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. 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