Data scientist jobs in Sonoma, CA - 1,062 jobs

Elevate Data Engineer Hybrid, CA Brooksource is searching for an Associate Data Engineer to join our HealthCare partner to support their data analytics groups. This position is through Brooksource's Elevate Program, and will include additional technical training including, but not limited to: SQL, Python, DBT, Azure, etc. Responsibilities Assist in the design, development, and implementation of ELT/ETL data pipelines using Azure-based technologies Support data warehouse environments for large-scale enterprise systems Help implement and maintain data models following best practices Participate in data integration efforts to support reporting and analytics needs Perform data validation, troubleshooting, and incident resolution for data pipelines Support documentation of data flows, transformations, and architecture DevOps & Platform Support Assist with DevOps activities related to data platforms, including deployments and environment support Help build and maintain automation scripts and reusable frameworks for data operations Support CI/CD pipelines for data engineering workflows Assist with monitoring, alerting, and basic performance optimization Collaborate with senior engineers to support infrastructure-as-code and cloud resource management Collaboration & Delivery Work closely with data engineers, solution leads, data modelers, analysts, and business partners Help translate business requirements into technical data solutions Participate in code reviews, sprint planning, and team ceremonies Follow established architecture, security, and data governance standards Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience) Foundational knowledge of data engineering concepts, including ETL/ELT and data warehousing Experience or coursework with SQL and relational databases Familiarity with Microsoft Azure or another cloud platform Basic scripting experience (Python, SQL, PowerShell, or Bash) Understanding of version control (Git) Preferred / Nice-to-Have Skills Exposure to Azure services such as Azure Data Factory, Synapse Analytics, Azure SQL, or Data Lake Basic understanding of CI/CD pipelines and DevOps concepts Familiarity with data modeling concepts (star schema, normalization) Experience of fa Interest in automation, cloud infrastructure, and reliability engineering Internship or project experience in data engineering or DevOps environments

The Company: A data services company based in the heart of San Francisco, are looking for a Senior Data Engineer. They are a team of passionate engineers and data experts that are working on a variety of different project, primarily in the financial services sector, helping organizations build scalable, modern data platforms. This is a hands-on, full-time role with close collaboration alongside the CTO and senior engineers, offering strong influence over technical direction and delivery. The Role: This is an on-site position in the downtown San Francisco where you will be working as part of a close-knit team, collaborating on projects in their brand new office. You will be working across end-to-end data projects, including: Building and maintaining data pipelines and ETL processes. Sourcing and integrating third-party APIs and datasets. Batch and near-real-time processing (cloud agnostic). Downstream analytics and reporting using tools like Sigma Computing and Omnium Analytics. Collaborating with the CTO and engineering team to deliver client solutions. Key Skills: 5+ years' data engineering experience Strong Python, BigQuery, and cloud (GCP or similar) Solid ETL and pipeline background Comfortable with large-scale data Nice to Have Beam, Dataflow, Spark, or Hadoop Tableau or Looker ML/AI exposure Kafka or Pub/Sub Given the varied nature of the work, a broad range of technology experience is valued. You don't need to have experience with every tool listed below to be considered, so we encourage you to apply. This role is 5 days a week on-site in downtown San Francisco. Looking to pay between $170,000-$220,000 with a bonus between 15-20%. Benefits Health, Dental & Vision covered Unlimited PTO 401(k) with employer contribution Commuter benefits.

Requisition ID # 169304 Job Category: Accounting / Finance Job Level: Manager/Principal Business Unit: Operations - Other Work Type: Hybrid The aim of the Electric System Predictive Analytics team in the Wildfire Mitigation organization is to enhance the risk practices of PG&E's Electric Operation business and thereby address changing external conditions such as climate change. To this end the Electric System Predictive Analytics team enhances and maintains predictive models of electric system failures. These models help to provide a multi-layered view of risk across the electric system so that decision-making processes include and empower employees at all levels of the company to manage risk appropriately. Sample activities include: * Development of new Machine Learning (ML) models predicting distribution and transmission electric system failures. * Development of physics-based models predicting distribution and transmission electric system failures. * Support for stakeholders in how to integrate model predictions into business operations. Position Summary The purpose of this role is to improve PG&E's ability to quantify the risk of wildfires caused by the distribution system. The successful candidate will design and develop models and improve existing models to quantify the likelihood of outages and ignitions. They will own key decisions about model algorithms and data pipeline architecture. The candidate will engage in internal and external communities of practice in data science, artificial intelligence, and machine learning to drive innovation and share knowledge. Additionally, they will educate non-technical stakeholders on the benefits, limitations, and maturity of data science solutions. This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory. This position will require travel to Oakland once per month. PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors. Bay Minimum: $159,000 Bay Maximum: $271,000 &/OR CA Minimum: $151,000 CA Maximum: $257,000 This job is also eligible to participate in PG&E's discretionary incentive compensation programs. Job Responsibilities * Creates, applies, and evaluates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets * Applies and evaluates data science/ machine learning/artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development. * Writes and documents complex and reusable python functions as well as multi-modular python code for data science. * As a technical leader, provides thought leadership in the use of a ML algorithms for solving business problems. * Mentors junior data scientists and drives standardization in process and toolsets across the data science community at PG&E. * Collaborates with analytics platform owners to prioritize and drive development of scalable data science capabilities. * Acts as peer reviewer for complex models/AI algorithm proposals. * Recognizes and prioritizes the most important work related to data science models to achieve highest operational and strategic impact for analytics in the business. * Works with enterprise leaders as an advocate for digital transformation of the business through the adoption of data science, analytics, and data-driven business processes. * Presents findings and makes recommendations to executive leadership and cross-functional management. Qualifications Minimum: * Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics, or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field. * 8 years in data science OR 2 years, if possess Doctoral Degree or higher, as described above Desired: * Doctorate Degree in Data Science, Machine Learning, or job-related discipline or equivalent experience * Experience in utility and energy industries * Thought leadership in the external data science/artificial intelligence/machine learning community of practice, as demonstrated through peer reviewed journal publications, intellectual property/patent achievements, conference presentations, volunteering in professional organizations for the advancement of the field, participation in externally sponsored research projects, open source contributions, or similar activities. * Proficiency with data science standards and processes (model evaluation, optimization, feature engineering, etc) along with best practices to implement them. * Proficiency with commonly used data science programming languages, packages, and software tools for building data science/machine learning models and algorithms * Mastery in explaining in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines. * Ability to clearly communicate complex technical details and insights to colleagues, stakeholders, and leadership * Leadership in developing, coaching, teaching and mentoring others to meet both their career goals and the organization goals

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time. Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo. We're an in-office company, driven by a shared commitment to excellence and velocity. Our values- customers are everything , relentless momentum , winner's mindset , and stronger together -shape how we work and grow as a team. About the Role As a Data Scientist at Decagon, you'll bring deep technical rigor to how data is analyzed, tested, and applied across the business. You'll design and interpret experiments, apply advanced statistical methods, and build scalable analytical frameworks that directly inform product strategy and company performance. You'll work across Engineering and Product to establish robust measurement practices, expand the use of data-driven decision making, and uncover insights that shape Decagon's trajectory. This role blends strong analytical expertise with product acumen and the ability to influence at the highest levels. In this role, you will Conduct deep-dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface actionable insights. Enhance and extend Decagon's data models, metrics, and dashboards to ensure consistent, scalable reporting across teams. Design, implement, and analyze controlled A/B test experiments to measure product changes and customer experience. Collaborate with Product and Engineering to embed experimentation and measurement best practices into product development cycles. Build and continuously improve Decagon's data stack, ensuring scalable models, pipelines, and tools that empower self-serve analytics across the company. Communicate findings clearly and persuasively to executives and cross-functional stakeholders, influencing strategic decision-making. Evaluate and interpret the performance of ML models (e.g., classification, recommendation, LLM-based systems), helping the team reason through trade-offs, limitations, and business implications of model-driven decisions. Be the primary driver of experimentation culture at Decagon, helping define how we design, measure, and scale experiments across the business. What We're Looking For Strong ability to structure ambiguous problems, translate them into analytical approaches, and deliver business impact through data. Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design. 5+ years (or equivalent experience) in data science or product analytics roles, ideally within high-scale consumer or marketplace products. Ability to reason about and analyze machine learning models, understanding their assumptions, trade-offs, and impact on product and customer outcomes. A proven track record of designing, running, and analyzing experiments at scale. Excellent communication skills, with experience influencing stakeholders and driving decisions across teams. Benefits Medical, dental, and vision benefits Take what you need vacation policy Daily lunches, dinners and snacks in the office to keep you at your best Compensation: $250k - $300k + equity

At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME's Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers. Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models. End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle-from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation. Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation. Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems. Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: 8+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis). Proven track record of shipping high-quality data products, models, or features at scale. Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions. Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications: Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant). Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems. Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray). Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$228,800-$286,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We're re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we're inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we're building the future of online marketplaces -together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we're just getting started! As one of the fastest growing marketplaces, we're looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. Role As Whatnot rapidly scales, data is central to shaping our product strategy and helping us build delightful, high-performing experiences for both buyers and sellers. We're looking for a Product Data Scientist who will partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company. In this role, you will: Generate Insights & Shape Product Direction * Define and own the KPIs that measure product health, user engagement, and marketplace performance. * Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities. * Translate complex data into actionable recommendations for product and leadership teams. Drive Experimentation & Measurement * Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts. * Develop frameworks for causal inference, impact measurement, and long-term product evaluation. * Build scalable methodologies to understand feature performance and guide iteration. Build Data Products & Tools * Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot. * Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features. Lead Cross-Functional Collaboration * Advocate for data-driven decision-making and foster a culture of measurement across the product organization. * Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions. * Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform. US Based: We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs. You Curious about who thrives at Whatnot? We've found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Product Data Scientist, you bring: Experience & Expertise * 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization. * A bachelor's degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience. * Proven experience applying statistical and analytical methods to real-world product problems. Technical Skills * Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT. * Proficiency with Python or R for data analysis, modeling, and experimentation. * Experience designing and analyzing A/B tests and understanding causal inference techniques. * Strong data visualization skills and familiarity with BI tools for building interactive dashboards. Collaboration & Leadership * Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders. * Experience leading cross-functional projects and influencing product strategy with data. * Comfortable working in fast-paced, ambiguous environments with a high degree of ownership. Compensation For Full-Time (Salary) US based applicants: $175,000/year to $240,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. Benefits * Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Voleon Securities, a new business within the Voleon Group, provides liquidity in securities markets. We apply state-of-the-art AI/ML techniques to construct our liquidity-provision strategies. For more than a decade, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities builds on Voleon's deep real-world experience applying ML to financial markets. We are looking for an entrepreneurial Data Scientist to build out the data analysis frameworks for our business. You will be responsible for harvesting insights from a complex array of data, like digging into complexmarket microstructure and deep dive analysis of our live algorithmic trading strategies. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business. Responsibilities * Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds * Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders * Perform extemporaneous analyses on research and production trading systems with leadership * Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems * Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring Requirements * 1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization * Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions * Ability to frame and answer questions mathematically * Ability to infer useful forward-looking directions from results of retrospective analysis * Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R * Basic software development skills and experience with bash, linux/unix, and git * Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication * Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field) Preferred * Master's degree in a quantitative discipline * Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships * Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow Compensation The base salary range for this position is $150,000 to $190,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. "Friends of Voleon" Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please make sure to review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #LI-MD1 We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a Data Science Manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 3+ years of industry experience solving data science problems or a PhD in a quantitative field Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$170,000-$216,000 USD

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 Data collected passively from wearable devices or smart sensors provide crucial insight into the day-to-day, real-world physiological and behavioral aspects of health. As a Data Scientist on our Digital Measures team, you will develop methods and research to bridge densely collected digital measures of health to multimodal AI systems through context and insight summarization. In this role, you will design novel algorithms, conduct applied research, and translate findings into practical solutions to empower our users to harness the often untapped patterns from digital measure datasets. Success in this role requires both scientific creativity and pragmatic engineering. You will need to bring together your understanding of digital measure data collection systems with the latest supervised and unsupervised technologies all while ensuring models are reliable, scalable, and user-friendly for clinical and product stakeholders. Responsibilities Design and implement AI/ML models to extract and apply insights from digital health data. Translate research into production-ready solutions that advance health and wellbeing. Collaborate with clinical, product, and engineering teams to deliver practical, integrated tools. Communicate complex technical concepts effectively to diverse audiences. Stay current with AI/ML advancements and foster an inclusive, collaborative team culture. Qualifications Minimum Qualifications Advanced degree in a quantitative discipline (e.g., data science, statistics, biomedical informatics, computer science, applied mathematics, or similar), or equivalent practical experience. 5+ years of experience developing and applying advanced machine learning and AI techniques to clinical, biomedical, or similarly complex data. Strong proficiency in Python and experience with modern ML frameworks and Git-based workflows. Demonstrated ability to design and implement novel algorithms or adapt research methods for practical applications. Excellent written and verbal communication skills, with a proactive, collaborative approach to problem-solving. Preferred Qualifications Familiarity with wearable and smart sensing technologies, algorithms, and interpretation methods. Practical experience in signal processing working with dense time series data types to provide insights from longitudinal datasets. Experience collaborating with clinical research professionals or other domain experts. Exposure to software engineering practices and experience contributing to production systems. Strong curiosity and adaptability, with a demonstrated ability to learn new domains quickly. This role is eligible for Verily-sponsored immigration support. The US base salary range for this full-time position is $132,000 - $221,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Our Mission: 6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Purpose of the Job Data Scientist leads and drives advanced AI initiatives within the organization. By leveraging advanced statistical methods, machine learning, and programming, the Data Scientist is responsible for designing and implementing complex AI solutions. This role involves innovatively solving business problems, optimizing algorithms, and deploying AI models to provide data-driven insights that align with the organization's strategic goals. Additionally, the Data Scientist ensures efficient workflows, automates processes, and effectively communicates insights to stakeholders, aiming to enhance productivity, strategic decision-making, and overall business success. Job Description Responsibilities & Accountabilities Lead the design and development of complex AI solutions, employing advanced techniques to optimize algorithms and data sets for superior performance. Design and implement experiments to rigorously evaluate AI solution performance and provide valuable insights for refinement. Develop detailed AI solution requirements and effectively manage the development process, adapting to changing circumstances and requirements. Collaborate effectively with cross-functional teams and stakeholders, ensuring successful delivery while adapting to evolving needs and circumstances. Stay updated with the latest trends and advancements in AI technology, incorporating newfound knowledge into solution design and development. Apply mastery of statistical methods, machine learning algorithms, and programming languages to analyze unstructured data and derive actionable insights. Develop novel modeling techniques and algorithms, utilizing advanced methodologies like Bayesian inference, reinforcement learning, and causal inference. Create scalable models capable of handling large volumes of real -time data, ensuring transparency and explainability in the model's functioning. Develop models that inform strategic decision-making at the highest organizational levels, leveraging advanced machine learning techniques. Align business objectives with innovative data science solutions, proactively identifying opportunities for data-driven insights and product innovations. Develop and implement advanced AI models, utilizing techniques like transfer learning, ensemble methods, and neural networks for complex problem -solving. Design and implement efficient workflows, automate data -related tasks, and lead process improvement initiatives to enhance productivity and data accuracy. Lead product development efforts, demonstrating an understanding of the business model and leveraging data for product decision-making and roadmap planning. Ethical Product Development: Understand and consider the ethical and legal implications of data-driven products and solutions, ensuring responsible and compliant development practices. Performance Measurement AI Solution Effectiveness: Measure the effectiveness of AI solutions developed by assessing their impact on solving complex business problems. Model Performance and Optimization: Evaluate and optimize machine learning models to ensure they meet predefined performance metrics and business objectives. Innovative Solutions Impact: Assess the impact of innovative data science solutions on driving insights, product offerings, and business growth. Efficiency and Productivity: Evaluate the efficiency and productivity improvements achieved through process automation and optimization. Stakeholder Communication: Assess the effectiveness of communication and collaboration with stakeholders in delivering successful AI solutions. Adaptability and Learning: Measure adaptability to changing requirements and the ability to quickly learn and apply new technologies and methodologies. Product Alignment and User Impact: Evaluate the alignment of data -driven products with business goals and their impact on improving user experiences and satisfaction. Ethical and Legal Compliance: Monitor compliance with ethical and legal standards in the development of data-driven products and solutions. Educational and Experience Requirements Ph.D. or Master's in Computer Science, Data Science, or related field. 5+ years in data science, machine learning, and AI, with progressive tech leadership roles. Strong Python, R, SQL, and advanced statistical and ML techniques. Designing tailored ML models, optimizing algorithms, and AI solution deployment. Designing efficient workflows, automation, and process improvements. Exceptional communication and leadership skills, managing data science teams. Driving innovation, staying updated with emerging tech, and ensuring ethical compliance. Effective collaboration, adaptability to changing requirements and circumstances. Competencies and Behaviors Strong advanced statistical methods, machine learning, and programming languages (Python, R, SQL). Innovative Problem-Solving: Proactive in identifying innovative data -driven insights, leveraging cutting-edge technologies, and challenging existing approaches. Expertise in designing and deploying complex AI solutions, optimizing algorithms, and integrating models effectively. Proficient in automating workflows, improving processes, and enhancing efficiency in data collection, cleaning, analysis, and reporting. Strong communication skills to convey complex insights to stakeholders and effective leadership in managing data science teams. Willingness to stay updated with emerging trends, methodologies, and technologies, and adapt to changing requirements in the field. Understanding and adherence to ethical and legal implications related to data -driven products and solutions. Effective collaboration with cross-functional teams and stakeholders, ensuring successful project delivery through teamwork. Demonstrated contributions through research publications and thought leadership in the data science domain. Ability to align data science goals with broader business objectives, leveraging insights for strategic decision-making. Understanding and integrating user needs and experiences into product development, using data to drive user-centric decisions. Ability to adapt to changing requirements and circumstances, ensuring the successful delivery of AI solutions in dynamic environments. Efficiently manage time and prioritize tasks to meet project deadlines and organizational goals. Commitment to maintaining high-quality standards, adhering to compliance requirements, and ensuring data accuracy and validity. Base Salary Range: $133,687.50 - $178,250.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense's total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense's board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy Our Benefits: Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We'll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices. We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. Equal Opportunity Employer: 6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to ***************. We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to ***************

Chestnut is building the first AI-native operating system for insurance distribution by transforming how the $1T+ insurance industry allocates its largest spend: sales and distribution. Backed by a16z, we're replacing legacy systems with a modern, flexible platform that helps carriers automate complex workflows, optimize every distribution dollar, and unlock new growth. We have major insurers under contract, and early adopters are expanding. This is a generational platform shift. Recent advances in agentic AI make it possible to automate what was once manual and error-prone. We've spent years building the data model and context layer required to make this real, and now we're scaling with urgency. At Chestnut, we operate with the belief that small, high-context teams working with best-in-class tools and colleagues can achieve outsized results. We embody what it means to be AI-lean: chasing 10x productivity gains that allow us to scale impact beyond our headcount. If you're excited to modernize the infrastructure of one of America's most essential industries, we'd love to meet you. Whether shaping core product experiences or laying the groundwork for intelligent automation, your work will accelerate a once-in-a-generation transformation. Engineering at Chestnut Chestnut is a technology company at its core, building the infrastructure to power the future of AI in insurance. Realizing that vision requires both a modern, reliable foundation and the intelligence layer on top. Our engineers work across this stack, from designing data models that capture the nuance of insurance workflows, to developing APIs that support intelligent automation, to shipping user-facing product experiences and early AI copilots. As Lead Data Scientist, you'll scale and lead a team of analysts and data scientists while building the systems, processes, and culture that turn insights into impact. You'll partner closely with product, design, and founders to ensure we're capturing the right data, appropriately analyzing that data to drive results, hiring best-of-the-best talent, and laying the foundation for long-term technical excellence. What You'll Do Unlock data-driven decisions: Explore and analyze customer data to provide insights, create business value, and inform product decisions. Build robust foundations: Collaborate and own end-to-end data workflows - from raw ingestion to analysis-ready pipelines - ensuring accuracy, consistency, and scale. Predict the future: Develop and deploy models to forecast outcomes, detect anomalies, and personalize user experiences. Be a thought partner: Bring a strategic lens to data by identifying data needs and shaping requirements. Raise the bar: Introduce best practices in analytics, experimentation, and modeling, including mentoring others to build a data-fluent culture. You Might Be a Fit If You… Are fluent in SQL and Python and are comfortable owning data from ETL to modeling to visualization. Have built dashboards and reports with tools like Looker, Power BI, or Tableau and know how to tell a clear story with data. In partnership with engineering, have deployed predictive models into production and understand the full data lifecycle from data exploration to training to monitoring. Are comfortable with statistical testing, causal inference, and experiment design. Have worked in fast-paced, ambiguous environments and thrive when collaborating cross-functionally. Are excited by open-ended problems and know how to prioritize ruthlessly to drive business impact. What Success Looks Like in Your First 90 Days Data stakeholders feel empowered and supported in making fast, informed decisions. Forward-deployed implementation teams supported with thoughtful data strategy and project plan. Key business questions - both for internal users and external customers - have been proactively answered through thoughtful analysis. At least one high-impact predictive model is scoped, prototyped, or tested. Teammates see you as a go-to partner for insights, strategic thinking, and leveling up their data instincts. Benefits Competitive salary and equity, with 10 year exercise window for stock options Remote-first culture built on trust, autonomy, and high performance Team offsites for all of us to bond Take what you need vacation policy Top notch health, dental, and vision insurance subsidized by us

Our healthcare system remains frustratingly analog. When you live in a world of one-tap car rides, instant meal delivery, and unlimited streaming, why do you still have to call to schedule a doctor's appointment and fill out a clipboard in the waiting room? NexHealth's mission is to accelerate innovation in healthcare by connecting patients, providers, and developers. We're building the infrastructure layer for modern healthcare, connecting thousands of fragmented, on-premise, and closed EHR systems into a single, modern platform that powers software, APIs, payments, and patient experiences across the ecosystem. Founded: 2017 Headquarters: San Francisco, CA Funding: $177M Series C Employees: 200+ Trusted by tens of thousands of providers and hundreds of health-tech developers - forging the infrastructure layer that modern healthcare needs About the Role We're looking for a Staff Data Scientist who wants to build. You will design NexHealth's financial data foundation from the ground up: the pipelines, models, and dashboards that power revenue reporting, forecasting, and decision-making across the company. This is a zero-to-one role where you will move fast, ship scalable systems, and apply first-principles thinking to every modeling decision. If you love combining engineering with analytical depth, this is your canvas. What You'll Do 7+ years of experience in data science, analytics engineering, or equivalent quantitative roles within SaaS or technology companies. 3+ years building or maintaining financial data systems using Snowflake, dbt, and a BI tool such as Sigma, Looker, or Tableau. Demonstrated experience modeling SaaS metrics (ARR, churn, CAC payback, retention, LTV) using SQL and a programming language such as Python or R. Experience designing and automating data pipelines using APIs from Stripe, Chargebee, Salesforce, or similar platforms. Hands-on experience implementing data quality testing, CI/CD, and version control practices for analytics. Proven ability to translate quantitative insights into actionable recommendations for executive or product leadership. Bachelor's degree (or higher) in Computer Science, Data Science, Statistics, Mathematics, or a related technical field. A builder mindset: excited by blank slates, scaling impact through automation, and simplifying complexity through systems. What You'll Bring At least seven years of experience in data science or analytics engineering at a high-growth SaaS company, ideally where you built foundational systems Strong skills with modern data stacks such as Snowflake, DBT, and Sigma (or similar BI tools) Deep understanding of SaaS financial metrics such as ARR, churn, retention, lifetime value, and CAC payback, and how to model them in SQL and code Experience designing automated data pipelines and forecasting systems using APIs from tools like Chargebee, Stripe, or Salesforce Solid engineering instincts, including version control, testing, and CI/CD for analytics Strong communication and storytelling skills that connect insights to decisions A builder mindset: excited by blank slates, scaling impact through automation, and simplifying complexity through systems Benefits Full Medical, Dental, and Vision (up to 100% covered) 401K and commuter benefits Flexible PTO High-impact work that directly improves the healthcare experience for millions Our Values Solve the customer's problems, not yours When making decisions, think from the perspective of the customer. It's easy to make decisions that make our lives simpler, but not the customers. Do the things others are not willing to do As a Nexer, always go after the hardest problems. Pursue things at the highest quality. Move at the fastest pace. Take ownership Act like a founder. Own your roles, destinies, mistakes, behavior, and our mission. The buck stops with each of us - no blaming or excuses. Say what's on your mind, with positive intent Be direct, proactive, transparent, and frequent in your communication. Default trust As a Nexer, you do not have to earn trust, trust is given to you by default. If we by default trust each other, our speed of communication, feedback, information sharing, and overall improvements will be a lot faster. Think in first principles We first identify the problem and then break it down to its fundamentals before diving into solutions. We constantly ask “why” to validate our assumptions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We provide reasonable accommodation for individuals with disabilities to participate in the application or interview process. Contact ******************** to request assistance.

As a Data Scientist, you will report to the Data Science Manager. You will play a pivotal role in our data-driven decision-making and drive impact for our Growth, Risk, Product, and Marketing teams. You will have the opportunity to work on cutting-edge projects that involve risk modeling, causal inference from experimental results, pricing optimization, and strategy. What you'll do: Depending on the project, you would: Conduct experimentation and execute causal inference analyses on pricing, marketing, and conversion models to drive revenue optimization. Develop Pricing Optimization algorithms to maximize the unit economics of our lending products while driving meaningful growth in our origination businesses. Develop and maintain predictive ML models to assess potential risks and opportunities across our lending products, contributing to the enhancement of risk and marketing assessment procedures. Conceptualize, research, and prototype data-driven solutions, effectively communicating their impact to the stakeholders. Collaborate closely with cross-functional teams and stakeholders to accelerate solution iteration and achieve measurable outcomes. Build funnel dashboards and perform root cause analysis to monitor and identify user behavioral patterns and areas of opportunity. Collaborate with data and infrastructure engineers to deploy ML and Pricing pipelines, from data collection through model deployment. This includes automating training and ongoing monitoring utilizing BI tools. Prepare technical designs and documentation using git and Confluence. Ideal background and expertise: 2+ years of experience in R/Python and SQL 2+ years professional experience in model development and/or data analytics (or Master's degree in Data Science, Operations Research, Industrial Engineering, Economics or a related quantitative field with 1+ years of professional experience in model development and analytics) Expertise in statistical inference. Experience in product analytics and experimental design. Expertise in building classification, regression, and forecasting models and deriving insights from A/B tests. Experience working in a cross-functional environment with teamwork and excellent communication skills. Bonus to have: Understanding of financial metrics and bond markets. Understanding of econometrics and elasticity in pricing optimization. Previous experience with cloud platforms such as AWS, Azure, or GCP. Experience with BI stack such as Looker, Airflow, and DBT. Custom LLM and NLP experience. #LI-

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

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. Minimum Qualifications * Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent * 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) * 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] Preferred Qualifications * Master's or Ph.D. Degree in a quantitative field Responsibilities * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * 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 * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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, France, Singapore, and Japan. * 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 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 from @Rippling.com addresses. About the role Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Data Scientist to join our rapidly expanding team. In this pivotal role, you will be responsible for designing, building, and maintaining services that automatically process vast amounts of financial data, providing comprehensive visibility into every stage of the money movement lifecycle within Rippling's payments product ecosystem. This is an exciting opportunity to become a foundational member of the Payments Analytics team, ensuring accurate settlement between our customers, external financial institutions, and Rippling for every transaction. This is a highly cross-functional role with significant visibility, including with the executive team. You will empower the Accounting, Finance, Biz Ops, Payments, and Product teams by delivering accurate data that is critical to Rippling's finances and essential for the correct functioning of product systems. What you will do * Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform. * Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop real-time metrics dashboards to manage key financial and operating levers of the business. * Monitor payment flows between systems, banks, processors, and inter-company accounts, perform daily account reconciliations, and follow up on any discrepancies. * React swiftly to emerging issues, summarize facts, and provide recommendations for the timely resolution of critical financial matters. * Collaborate with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of third-party tools. * Develop and maintain comprehensive documentation of reconciliation processes and procedures. * Prepare and deliver data and reporting solutions supporting month-end close, regulatory & compliance reporting, and Internal and External Audit reporting. * Communicate findings and recommendations to stakeholders through clear and concise presentations and reports. What you will need * Master's degree or Bachelor's degree in Computer Science, Engineering, Statistics, MIS or other quantitative fields. * 5+ years demonstrated experience in applying statistical analysis, modeling, machine learning and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash financial reporting. * Experience with data warehousing, ETL, and reporting tools (e.g. Snowflake, Tableau, dbt, Dagster). * Extensive experience with SQL, Python, or other scripting languages and their application to all phases of the data science development process (initial analysis and model development through deployment). * Experience working with engineering, finance, and accounting teams to assess their data needs and build automated reporting pipelines. * Strong problem-solving and communication skills, with the ability to communicate findings and recommendations clearly to both technical and non-technical audiences. * Ability to interface with multiple stakeholders and senior leadership (C-suite) across the organization. * Bonus points if you have experience with general accounting principles, with the general ledger close process, and regulatory compliance. Additional Information Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email ************************** Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here. A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, and location. Final offer amounts may vary from the amounts listed below.

Responsibilities Working as part of our team researching and develop machine learning models Architecting ML training, validation and inference pipelines Designing and implementing approaches to maximizing the potential of data in AI models Defining creative solutions to deep problems, and communicating your ideas to the team Requirements PhD or masters in a relevant field of study Strong ML research and engineering utilizing established and emerging NLP technologies in a healthcare environment Data-centric AI Deep learning, problem solving and first principles understanding with proven application Experience with information extraction from unstructured and structured healthcare data Experience with MLOps Desirable: Experience with deep reinforcement learning Experience with knowledge graphs, knowledge bases and ontologies Experience with probabilistic graphical models Experience with semantic search architectures Some of the tools we are (and you will be) working with: Python Pytorch SPARQL, Gremlin, NoSQL and SQL Docker AWS Kubeflow