Data scientist jobs in Vallejo, 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: ***************************************************************************************

Analyze large, complex datasets from diverse sources to uncover insights and identify opportunities for innovation. Design, build, and deploy robust machine learning models with meaningful uncertainty quantification. Perform rigorous data engineering and model evaluation, including feature engineering, hyperparameter tuning, and model selection. Collaborate with engineering teams to integrate models into production codebases, promoting best practices in code quality and maintainability. Communicate findings and technical results clearly to both technical and non-technical stakeholders. Master's degree with 6+ years of experience or Ph. D. with 3+ years in Computer Science, Engineering, Physics, Applied Mathematics, Statistics, or a related quantitative field. Machine Learning Expertise: Strong theoretical foundation and hands-on experience in ML algorithms, deep learning, AI, statistics, or optimization. Programming Skills: Proficient in Python, with motivation to write efficient, maintainable, testable, and well-documented code. ML Frameworks: Experience with modern ML frameworks such as PyTorch, JAX, or TensorFlow. Problem Solving: Demonstrated analytical and critical thinking skills, with a track record of delivering impactful R&D solutions. Team Collaboration: Proven success working in cross-functional teams with strong execution and communication skills. Domain expertise in semiconductor engineering, Bayesian statistics, process engineering, multi-physics modeling, or numerical simulation. Familiarity with Linux/Unix operating systems. Experience with MLOps tools and principles (e. g. , Docker, CI/CD pipelines).

Job DescriptionOur Mission Launched in 2012, Tinder revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™" Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team The Data Science & Analytics team thrives on data-driven insights to make more informed decisions through our insights into our member's behavior, preferences, and common trends. We take ownership over the integrity of our data and work to improve data literacy across Tinder. Recommendations (Recs) is core to Tinder's experience-covering ranking, retrieval, signals, and model evaluation-to improve match quality, conversations, retention, and revenue through principled ML and experimentation. As a Senior Data Scientist on the Recommendations (Recs) team, you will partner closely with Product, Engineering, and Machine Learning (ML) to identify and size new opportunities, strengthen existing algorithms, and shape measurement and experimentation across a two-sided marketplace. You'll build the tooling and dashboards needed for crisp reads and health monitoring, communicate insights and tradeoffs with executive clarity, and serve as a trusted, respected partner to the Recs pod and a mentor for the broader Data Science team. This role will be given wide latitude but high expectations for the development of analyses, models, and plans that will be shared directly with the executive team and help shape the trajectory of our product roadmap. Where you'll work:This is a hybrid role and requires in-office collaboration three times per week in Los Angeles, Palo Alto or San Francisco. In this role, you will: Work closely with Product, Engineering, and ML to identify and evaluate new opportunities; frame hypotheses, define success metrics and guardrails, and translate findings into clear product recommendations. Support the ML team in improving algorithms across retrieval, ranking, and personalization; strengthen offline/online evaluation and alignment. Define and lead experimentation design and analysis tailored to a two‑sided marketplace; drive meta-analyses and playbooks that uplevel reads and decision quality. Build tools and dashboards to improve experiment reads and KPI monitoring; standardize templates and health checks for fast, reliable iteration. Deliver executive-ready presentations and docs that clarify options, tradeoffs, risks, and expected business impact. Be a trusted and respected partner for the Recs pod, focused on delivering the best recommendations for our worldwide member base. Mentor and inspire other data scientists; review analyses and elevate experimentation, causal inference, and model evaluation practices across the team. You'll Need: Bachelor's, Master's, and/or Ph.D. degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or related fields). 5+ years of professional experience in data science/analytics, with meaningful time in recommender systems, ranking, search, or personalization at consumer scale (or equivalent impact/complexity). Fluency in SQL and Python (required). Deep understanding of statistics and causal inference; hands-on experience designing and analyzing online experiments (A/B, variance reduction, sequential testing) and applying quasi-experimental methods when appropriate. Strong product sense and analytical rigor; ability to frame the right questions, choose fit-for-purpose methods, and land actionable recommendations with cross-functional partners. Familiarity with machine learning for recommendations, including offline/online metric design and model evaluation for ranking/personalization use cases. Nice to have: Experience with modern Recs stacks (e.g., retrieval/two‑tower, learning‑to‑rank, embeddings/feature stores) and counterfactual evaluation approaches (IPS/DR, switchback tests). Working knowledge of Spark or similar large‑scale data tools and MLOps concepts (feature stores, evaluation pipelines, drift/monitoring). Two‑sided marketplace intuition and guardrail design to protect ecosystem health. Track record of mentorship, thought leadership, and cross‑functional influence. As a full-time employee, you'll enjoy: Unlimited PTO (with no waiting period), 10 annual Wellness Days Time off to volunteer and charitable donations matching Comprehensive health, vision, and dental coverage 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Free premium subscriptions for several Match Group apps - including Tinder Platinum! Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.#Tinder Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: ******************************** If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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.

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.

#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

The Principal 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 Principal 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 Principal 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. 7+ years of experience in data analysis software, with data science experience preferred. 7+ 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$157,250-$212,750 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.

Data Scientist, Pricing Opendoor is transforming one of the largest, most complex markets in the world - residential real estate - using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company's financial performance. We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You'll operate at the intersection of economics, machine learning, experimentation, and product strategy - tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory - and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace. What You'll Do * Build and maintain pricing metrics, dashboards, and frameworks. * Run experiments and causal analyses to measure impact and drive decisions. * Develop predictive + statistical models that improve pricing accuracy. * Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment. * Deliver insights and narratives that inform executive strategy. Skills & Qualifications * Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise. * Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring. * Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.). * Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making. * Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs. * High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition. * Effective communicator - able to tell the story behind the model to both highly technical and non-technical audiences. Base salary range for this role varies. Generally, the base salary range is $170,400 - $213,000 annually + RSUs + bonus + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K). JR 9200 #LI-KC1 About us…. Powering life's progress, one move at a time Since 2014, we've been reinventing life's most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain. We're a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it's starting a family, taking a new job, or making a life change, we help people move forward with confidence. This work isn't easy, and it's not for everyone. But if you want to be part of a team that's tilting the world in favor of people who want to sell, buy, or own a home then you'll find purpose here. Opendoor Values Openness We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here. We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise. At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at ********************************.

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace Your role at Clorox: As a Data Scientist in Marketing, you will have the opportunity to apply data science techniques across our portfolio of brands to develop novel tools and analyses that push the boundaries of marketing analytics within the company. You will support building data products and translating data into clear and compelling insights ensuring proper activation that leads to business impact. You'll work closely with other data scientists, engineers and business partners across Marketing, Sales and R&D to derive insights from diverse data sources, help the business make data-driven decisions and apply cutting edge data science techniques. The ideal candidate is curious, collaborative, and passionate about data science and product analytics with business facing experience. In this role, you will: Contribute to the development and deployment of end-to-end AI/ML/Gen AI models, focusing on marketing, measurement, and predictive analytics. Explore, test and implement GenAI solutions (e.g., LLMs, embeddings, RAG pipelines) for use cases like personalized marketing, customer insights, or content generation. Scope and define data science projects, set clear deliverables, and collaborate with stakeholders to develop and deploy impactful models. Write clean, well-organized code in GitHub repositories, following version control and collaboration best practices for development with other members of the team Collaborate closely with data engineers to ensure data quality, feature engineering, and the development of efficient data pipelines. Act as a strategic partner to business stakeholders, helping them frame problems in a data-driven way and translating business goals into analytical solutions. Lead discovery sessions with marketing, product, and leadership teams to understand pain points and identify opportunities where data science can create value. Present analytical findings and model results through compelling storytelling, using visualizations and business context to drive alignment and decision-making. #LI-Hybrid What we look for: Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. CPG experience is preferred 1+ years of relevant experience with a Master's degree, or 2-3+ years of experience with a Bachelor's degree. Proven experience working with business stakeholders; business-facing or consulting experience is preferred. Technical Skills Programming: Proficiency in Python and SQL. AI/ML Expertise: Experience developing and deploying machine learning and generative AI (e.g., LLMs, embeddings, RAG pipelines) models. Skilled in predictive modeling, personalized marketing, or customer analytics use cases. Data Handling: Comfortable working with unstructured/messy data. Skilled in data exploration, cleaning, and feature engineering. Tools & Technologies: Familiarity with GitHub and collaborative version control best practices. Experience with cloud platforms such as Google Cloud (BigQuery, GCS) or Azure Synapse is a plus. Knowledge of Docker and cloud-based deployment is an advantage. Analytical & Strategic Skills Ability to translate business problems into data science solutions and scope data projects with measurable impact. Comfortable leading discovery sessions and contributing strategically to cross-functional teams. Skilled in data storytelling and communicating findings clearly through visualizations and business context. Soft Skills Strong communication and collaboration skills; able to work with both technical and non-technical stakeholders. Highly curious, self-motivated, and able to work independently. Strong project management and time management capabilities. Open to learning new tools and methods; adaptable to fast-changing environments. Demonstrates business acumen, Workplace type: Hybrid role - 3 days in our of our offices in US Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That's why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive. Learn more. [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: $88,700 - $165,900 -Zone B: $81,300 - $152,100 -Zone C: $73,900 - $138,300 All 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. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative. The Team To develop a dynamic, integrated view of biological systems in health and disease, the Chan Zuckerberg Institute for Advanced Biological Imaging (CZ Imaging Institute) aims to push forward the development and application of new imaging technologies over the next 10 to 15 years. CZ Imaging Institute researchers will collaboratively develop breakthrough biological imaging systems centered around grand challenges that push the boundaries of what we can see and measure to obtain deep insights into the architecture of complex biological systems at the molecular level. As an extension of the Chan Zuckerberg Initiative's Imaging program, the CZ Imaging Institute (***************** will create breakthrough technologies - hardware, software, biological probes, data, and platforms - that will be made available to the scientific community and adopted worldwide through a combination of direct access to the Institute, open sharing of advances, and commercial partnerships. The Opportunity We are seeking a highly motivated and skilled Data Scientist to join our team in developing cutting-edge algorithms and software tools for improving and analyzing images acquired using newly developed, state-of-the-art cryogenic block face focused ion beam scanning electron microscopy (cryo FIB-SEM) coupled with atomic force microscopy (AFM) and other readout modalities. This role is ideal for candidates with a strong background in image processing, and a passion for advancing scientific discovery through computational innovation. Expertise in artificial intelligence (AI) and machine learning (ML) is strongly preferred and will play a key role in driving novel solutions in data analysis and interpretation. We value critical thinking, problem-solving ability, and clear communication in our vibrant, collaborative environment. What You'll Do * Design, implement, and optimize novel algorithms for 3D volumetric image correction, registration and reconstruction followed by segmentation, and analysis in multi-modality cryogenic FIB-SEM and AFM image stacks. * Design and implement precise, automated data collection schemes to enable high-throughput FIB-SEM and AFM data acquisition. * Develop robust, scalable software packages and pipelines for automatic processing and reconstruction of large-scale imaging datasets. * Apply and adapt AI/ML techniques, including deep learning, to automate feature detection, denoising, classification, and other tasks. * Collaborate closely with biologists, microscopists, and software engineers to understand research goals and tailor computational solutions. * Prepare technical documentation, user guides, and contribute to scientific publications and presentations. What You'll Bring * Ph.D. or equivalent experience in Computer Science, Material Science, Physics, Bioinformatics, or a related field. * 2+ years of experience in image processing, especially for 3D or volumetric data. * Proficient in programming languages such as Python and C++. * Experience with scientific computing libraries and frameworks (e.g., NumPy, SciPy, scikit-image). * Strong analytical, problem-solving, and communication skills. Compensation The Redwood City, CA base pay range for a new hire in this role is $153,000.00 - $210,100.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Better Together As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. * Provides a generous employer match on employee 401(k) contributions to support planning for the future. * Paid time off to volunteer at an organization of your choice. * Funding for select family-forming benefits. * Relocation support for employees who need assistance moving If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. #LI-Hybrid

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 an AI and Data Scientist at Verily, you will be supporting our core mission to build advanced data and AI capabilities for Verily's portfolio of products, which serve both consumer and business audiences. You will help drive innovation in data-driven healthcare by developing and deploying sophisticated models into our products. This role requires a blend of applied science and product-focused creativity; you should expect to conduct research and innovate on new methods to directly support and enhance our product offerings. Using cutting-edge techniques, you will analyze complex datasets to build robust solutions and collaborate with a diverse cross-functional team to build reusable and scalable tools that unlock information from structured and unstructured clinical data Responsibilities * Collaborate with cross-functional teams to conceptualize, develop, and implement AI solutions tailored to diverse healthcare applications. * Architect and implement foundational models and large language model (LLM) based agents to achieve optimal performance and efficiency. * Conduct cutting-edge research and stay informed on emerging advancements in LLMs, medical foundational models, and AI agents. * Effectively communicate complex technical methodologies and results through clear, well-structured reports and presentations for both technical and non-technical audiences. Qualifications Minimum Qualifications * Advanced degree in a quantitative discipline (e.g., statistics, computer science, applied mathematics, or similar) or equivalent practical experience. * Experience with applying ML in digital health applications. * Direct experience working with LLM and familiar with various prompt optimization technologies. Preferred Qualifications * Ph.D. in Computer Science or Engineering. * Experience with LLM models, including prompting, fine-tuning and retrieval augmented generation (RAG). * Familiarity with software engineering principles and experience deploying algorithms in production environments. * Experience developing transformer based deep learning algorithms using TensorFlow or PyTorch, and knowledge of latest architectures. This role is eligible for Verily-sponsored immigration support. The US base salary range for this full-time position is $140,000 -$200,000 + bonus + 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.

At Windfall, data science is central to our mission as a people data and AI company. We aim to revolutionize how organizations perceive and utilize people data by providing leading commercial and nonprofit partners with accurate and actionable predictive models. We are looking for a deeply technical Staff Data Scientist to join our Modeling & AI team. In this role, you will be the go-to expert for our most complex modeling challenges. You will be a hands-on-keyboard architect, designing and building sophisticated, scalable machine learning systems that power our model offerings. You'll spend your time tackling ambiguous problems, pioneering novel modeling techniques, and writing production-grade code that elevates the technical bar for the entire team. Your work will be directly applied, as you collaborate closely with customers to develop a range of models-from sophisticated marketing and lead scoring models to donation likelihood models that empower top nonprofit organizations worldwide. This position is ideal for an individual who is passionate about deep technical exploration, solving challenging technical problems, and constructing robust, end-to-end ML solutions that deliver immense value to our clients.Responsibilities: Architect and Own Modeling Solutions: You will lead the design and own the end-to-end lifecycle of our most sophisticated machine learning models, from ideation and strategic planning through to deployment and long-term performance monitoring. Synthesize Diverse Datasets: You will become an expert at blending first-party customer data with Windfall's proprietary data assets to engineer novel features and build highly predictive models. Build for Scale: You will go beyond individual models to design and build scalable, reusable data pipelines and modeling frameworks that improve the efficiency and capabilities of the entire team. Innovate and strategize: Address complex, ambiguous problems and craft creative modeling solutions to meet diverse customer needs across various industries. Communicate with Impact: You will be responsible for clearly communicating model performance, methodology, and business impact to both technical and non-technical stakeholders. Requirements: 7+ years of professional industry experience in data science, with a proven track record of leading complex machine learning projects from conception to completion. Deep, expert-level knowledge of machine learning theory and its practical application, including extensive experience with classification, regression, and feature engineering. Mastery of Python and its data science ecosystem. Expert-level SQL skills, with the ability to write optimized queries against large-scale datasets. A strategic, product-driven mindset with a history of influencing product roadmaps and tying data science initiatives directly to business outcomes. Hands-on experience with the engineering aspects of data science, including proficiency with Docker for containerization and experience building and deploying data pipelines. Eligible to work within the United States. Preferred Qualifications: Experience designing and implementing MLOps best practices for model monitoring, versioning, and automated retraining. Familiarity with modern cloud data platforms (e.g., BigQuery) and pipeline orchestration tools (e.g., Airflow). Experience working in marketing analytics, ad-tech, fintech, or for a nonprofit organization. A Master's degree or Ph.D. in a quantitative field such as Statistics, Computer Science, Economics, or Mathematics. About WindfallWindfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit ***************** We comply with CCPA. For more information on how we comply, review our privacy notice.

About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365-all within 90 seconds. Based in San Francisco, CA, Rippling has raised $1.4B+ from the world's top investors-including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock-and was named one of America's best startup employers by Forbes. We prioritize candidate safety. Please be aware that all official communication will only be sent ****************** addresses. About the Role: We're looking for a Data Scientist to work in partnership with our Customer Experience teams to maximize customer retention, drive cross-sell across our product suite, and proactively reduce escalations & improve CSAT. As Rippling, you'll have the opportunity to dive into datasets to influence decision-making & impact strategy. If you are a self-starter who enjoys finding patterns and speaking through data, we're looking for someone like you! What You'll Do: * Use quantitative analysis and the presentation of data to share beyond the numbers and understand what drives our business. * Build full-cycle analysis using SQL, R, Python, or other scripting and statistical tools. * Produce recommendations and use statistical techniques and hypothesis testing to validate your findings. * Provide insights to help business leaders understand marketplace dynamics, user behaviors, and long-term trends. * Identify and measure levers to help move essential metrics and make recommendations. * Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress. * Collaborate with data engineering to implement, document, validate, and monitor our evolving data infrastructure. * Work autonomously as an individual contributor as well as showcase horizontal leadership, driving initiatives to completion and proactively identifying opportunities that will move the needle in the long run. Qualifications: * Master's degree in Analytics, Data Science, Economics, Statistics or a related field and at least 2~3 years of work experience, or equivalent. * Strong interest in actively working with Customer Success and Support teams, as well as cross-functional collaboration with Product & Marketing. * Strong proficiency in SQL, R/Python, Tableau, Mode, or other Business Intelligence tools. * Ability to deliver actionable insights by synthesizing data into useful formats and conveying findings in a clear manner to influence decision-makers. * Ability to actively manage and influence senior stakeholders through strong business communication skills, both verbal and written. * Ruthless prioritization and time management. * Organized, attentive to detail, and intellectually curious. * Bonus points for experience with B2B SaaS companies, Salesforce CRM & Service Cloud, as well as executive-level exposure.

About us * At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, and Singapore. * We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. * Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Sierra has built a strong data foundation-now we're looking to grow our Data Science team to unlock its full potential. You'll play a foundational role in driving data strategy, leveraging rich customer interaction data to improve user engagement and product experience. Partnering with engineering, research, and product teams, you'll develop predictive models, build experimentation capabilities, and embed data-driven decision-making across the company. This is a unique opportunity to shape Sierra's data future and make a lasting impact on AI-powered customer interactions. * Conduct deep-dive analyses of customer data to identify trends, patterns, and actionable insights for improving the customer experience and product strategies. * Develop and deploy machine learning models to analyze customer engagement and optimize experiences across chat, agent interactions, and product usage. * Collaborate with product, engineering, and research teams to inform product strategy and execution, build excellent experiences, and experiment rapidly. * Partner with the data platform team to ensure robust data pipelines and a scalable infrastructure for conducting advanced analytics. What you'll bring * Proven Experience: Extensive experience in data science and analytics, with background leading projects from ideation to launch. * Curiosity & Customer-centricity: Passion for deeply understanding user needs and finding the right solutions from first principles. * Adaptability and Resilience: Comfort working in a fast-paced startup environment, able to adapt to changing priorities and handle ambiguity with grace. * Technical proficiency: Strong proficiency in statistical analysis, machine learning, and data mining techniques using tools such as Python, R, SQL, and cloud-based platforms (e.g., AWS, GCP). * Strong analytic skills: Experience with large-scale data analysis, and working with structured and unstructured data (including customer interaction data, chat logs, and user behavior data). * Experimentation expertise: Ability to build and evaluate models for experimentation and causal inference, with a clear understanding of designing and analyzing A/B tests. * Excellent communication: Strong written and verbal communication skills, with the ability to present complex technical results to non-technical stakeholders. * Great Collaboration: Ability to partner closely with product, engineering, and leadership to help bring ideas to life. Even better... * Experience working with large language models (LLMs), conversational AI, or agent-based systems. * Familiarity with building or improving data platforms for advanced analytics. * Exposure to product analytics or customer experience research in a SaaS or consumer-facing tech company. Our values * Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. * Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. * Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. * Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. * Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements. What we offer We want our benefits to reflect our values and offer the following to full-time employees: * Flexible (Unlimited) Paid Time Off * Medical, Dental, and Vision benefits for you and your family * Life Insurance and Disability Benefits * Retirement Plan (e.g., 401K, pension) with Sierra match * Parental Leave * Fertility and family building benefits through Carrot * Lunch, as well as delicious snacks and coffee to keep you energized * Discretionary Benefit Stipend giving people the ability to spend where it matters most * Free alphorn lessons These benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

About the Role This role focuses on building the strategic unit economics understanding of OpenAI, guiding sustainable growth to make it the most impactful company of our generation and beyond. You will lead the development of foundational causal inference and data science models and frameworks to predict and quantify the drivers of customer lifetime value (LTV), translating deep data insights into strategic decisions and growth levers. The role requires both technical depth and executive-level communication. This position is based in our San Francisco HQ with a hybrid work model (three days in office per week). Relocation assistance is available. The Vision * Build causal inference and predictive analytics capabilities to measure and forecast LTV across customer segments (B2C and B2B), and quantify the incremental impact of different actions or product features on customer LTV. * Design customer "happy paths" by identifying adoption journeys that maximize lifetime value while ensuring customers gain the most from our ecosystem. * Analyze price elasticity to guide product packaging, monetization, and pricing strategies. In this role, you will: * Partner with cross-functional teams (Finance, Product, Data Engineering, GTM, and other DS teams) to build causal inference and predictive models that drive business decisions. * Develop and maintain LTV models across product lines and customer cohorts. * Architect scalable frameworks and models that democratize economic insights for leadership and functional teams. * Support strategic pricing and investment decisions with robust analytical and causal evidence. * Lead cross-functional data science initiatives, ensuring analytical rigor, clarity, and timely delivery. You might thrive in this role if you: * Executive communication - ability to distill complex analysis into clear, actionable recommendations for leadership. * Technical breadth - comfort spanning ROI analysis, causal inference, statistical modeling, and ML predictive models; strong experience with Python and SQL. * Strategic judgment - ability to connect analytical insights to business impact, delivering the "so what" that informs leadership decisions. * Collaboration and ownership - thrive in a fast-paced, cross-functional environment and proactively take projects from concept to delivery. Qualifications * MS or PhD in a quantitative field (Statistics, Economics, Applied Math, Operations Research, Computer Science, etc.). * 7+ years of experience in applied data science, causal inference, or quantitative strategy. * Proven record of delivering high-impact insights to executive leadership. * Experience building scalable analytical frameworks and models that inform business decision-making. 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.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance

You could be a data scientist anywhere. Why us? * Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) * Disrupt a massive market and take us to a $10B business in the next few years * Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years - scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company's most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible - insurance, buy/sell, registration, loans, safety, repairs, parking, etc - a $2T market in the U.S. We started with insurance in 2019, and since then we've launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: * Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies * Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies * Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth * Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: * Bachelor's degree in a quantitatively or intellectually rigorous discipline * 1+ years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1+ years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis * High level of comfort with SQL or Python Who you are: * You have a framework for problem solving and live by first principles * You are comfortable communicating with audiences varying from front-line employees to the company's C-suite * You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at ******************* The successful candidate's starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America's first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers - and we're just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that's disrupting a massive market.