Data scientist jobs in Menlo Park, CA

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

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

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

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

The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product Development organization. You will leverage your advanced data analytics skills and deep understanding of our products and market to drive strategic decision-making, optimize engagement and monetization strategies, and accelerate product adoption. Your work will significantly enhance customer experiences and contribute to our business success. If you are passionate about using data to drive business growth and want to be part of a team shaping the future of conversations, we invite you to apply and help us achieve our mission of making conversations more valuable. Your Impact * Collaborate with Product teams to understand business objectives and challenges, translating them into data-driven insights and recommendations. * Develop and implement predictive models, analytical tools, and methodologies to analyze product usage and customer behaviors. * Analyze large datasets to generate actionable insights that guide the development and optimization of engagement and monetization strategies. * Design and Execute experiments to test hypotheses and measure the effectiveness of various features, product experiences and strategies. * Partner with cross-functional teams, including Product Management and Engineering, to integrate data-driven insights into our products and services, driving continuous improvement and innovation. * Present findings and recommendations to key stakeholders, including executives, to inform strategic decision-making and shape the company's Product roadmaps. * Collaborate with Data Engineers to ensure data quality, accessibility, and reliability for analysis purposes. * Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness. We're Looking for Someone Who * 3+ years as a Data Scientist, in a software technology or AI-driven company. * Proficiency in SQL for querying large datasets, and expertise in Python and R for data manipulation, analysis, and visualization. * Strong background in data analysis, statistical modeling, and other data science techniques. * Familiarity with B2B SaaS business models. * Excellent ability to translate complex findings into actionable insights for non-technical stakeholders. * Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously. * Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic start-up environment. About Otter.ai We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world's leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process. Accessibility & Accommodations Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact *********** at least 3 business days before your interview. * Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $155,000 to $185,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package. #LI-Hybrid

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.

We are seeking a highly skilled Staff Data Scientist to join our Product Workload & Efficiency Engineering team. This role will focus on leveraging advanced data science techniques to drive insights, optimize product workloads, and enhance infrastructure efficiency. The ideal candidate is a strategic thinker with a strong technical background, exceptional communication skills, and a proven track record of delivering data-driven solutions in a fast-paced environment. Responsibilities Partner with product, engineering, finance, sales, and customer success teams to model and forecast product workloads, define metrics, and build tools for planning. Design experiments and studies to reduce uncertainty in workload forecasts and optimize product/revenue flows. Analyze data to address business questions, generate insights using statistical methods, and present findings to stakeholders. Architect data models, pipelines, and applications to support workload data, finance and infrastructure teams. Develop and productionize metrics and dashboards for system availability, reliability, and performance. Conduct root cause and causal inference analyses of availability issues, recommending remediations. Shape data science areas like segmentation, recommendation systems, forecasting, and cost prediction. Analyze product usage to identify growth drivers and improvement opportunities. Manage stakeholders, define project OKRs, and communicate results effectively. Mentor team members and champion evidence-based decision-making with self-service data products. Represent data science across the organization and at conferences. Minimum Requirements Bachelor's or higher in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering). 8 -10+ years in analytics driving business decisions (e.g., product/marketing analytics, business intelligence). Proven ability to work independently and engage stakeholders proactively. Expertise in SQL, large datasets (e.g., Hadoop), statistical analysis, and techniques like regression. Experience with optimized data formats for analytics, such as Parquet, and potentially Apache Iceberg. Expertise in defining schemas, managing metadata, and crawling data sources. Proficiency in writing complex SQL queries to analyze data stored in S3-based data lakes. Integrate dbt with orchestration tools like Apache Airflow to automate, schedule, and monitor data pipelines that feed machine learning models. Proficiency in Python and strong communication skills. Ideal: 7+ years in data science/ML in high-growth tech; expertise in system reliability metrics, data pipelines (e.g., Airflow, Spark); familiarity with product analytics; strong coding (e.g., Python) and cross-functional collaboration skills; BS/MS/Ph.D. in quantitative field. Join us to drive innovation and impact through data science! The US base salary range for this full-time position is $190,000-$230,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

Job Description Join the Team That's Redefining Wireless Technology At Tarana, we're more than just a fast-growing tech company-we're a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible. We're looking for an exceptional Principal Data Scientist to join our team and drive innovation through advanced analytics and machine learning. In this lead role, you will shape our data science strategy, mentor talented team members, and deliver high-impact solutions that transform how we leverage data to achieve business objectives. What You'll Do: Lead end-to-end data science projects from problem formulation through model development, deployment, and monitoring in production environments. Design and implement advanced machine learning algorithms, statistical models, and AI solutions that drive business value. Provide technical leadership and mentorship to junior data scientists and data engineers, fostering a culture of excellence and continuous learning. Partner with engineering teams to architect scalable data pipelines and ML infrastructure. Establish best practices for experimentation, model training, model evaluation, and monitoring. Stay current with the latest advancements in data science, machine learning, and artificial intelligence. Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to identify and address key business challenges. Present findings and recommendations to senior leadership and other stakeholders. What You'll Need: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. 10+ years of experience in data science or a related field (at least the last 5 years in data science), with a proven track record of leading impactful projects that achieve clear customer outcomes through product delivery. Deep expertise in machine learning techniques, including supervised and unsupervised learning, deep learning, NLP, computer vision, or reinforcement learning Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn) Proficiency in SQL and experience working with large-scale datasets and distributed computing frameworks (Spark, Dask) Demonstrated experience deploying models to production and monitoring model performance Demonstrated cross-functional experience with diverse teams across the organization Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences Strong business acumen and ability to connect data science work to organizational objectives Experience mentoring and developing junior team members Bonus Points For: Experience in cloud platforms (AWS, GCP, Azure) and MLOps practices Track record of publishing research or contributing to open-source projects Experience with A/B testing and causal inference methodologies Knowledge of data engineering principles and ETL processes Leadership experience in managing or leading data science teams What we offer: We don't just build next-gen wireless technology - we build people. The salary range for this position is: $200,000 to $260,000 Compensation will be determined based on several factors including, but not limited to: skill set, years of experience and the employee's geographic location. Tarana provides competitive benefits to employees in this role including: Medical, dental and vision benefits, 401K match, flexible time off and stock option. Join Tarana and help shape the future of wireless connectivity. About Us Tarana's mission is to accelerate the deployment of fast, affordable, and reliable internet access around the world. Through a decade of R&D and over $400M of investment, the Tarana team has created and continues to enhance a suite of next-generation fixed wireless access (ng FWA) technologies. Its unique ng FWA platform delivers game-changing advances in broadband economics in mainstream and underserved markets, using both licensed and unlicensed spectrum. Tarana's ng FWA technology has been embraced by more than 300 service providers in 24 countries. Tarana is headquartered in Milpitas, California, with additional research and development in Pune, India. Learn more at *********************** Powered by JazzHR n6LRsnB45u

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace Your role at Clorox: As a Data Scientist in Marketing, you will have the opportunity to apply data science techniques across our portfolio of brands to develop novel tools and analyses that push the boundaries of marketing analytics within the company. You will support building data products and translating data into clear and compelling insights ensuring proper activation that leads to business impact. You'll work closely with other data scientists, engineers and business partners across Marketing, Sales and R&D to derive insights from diverse data sources, help the business make data-driven decisions and apply cutting edge data science techniques. The ideal candidate is curious, collaborative, and passionate about data science and product analytics with business facing experience. In this role, you will: Contribute to the development and deployment of end-to-end AI/ML/Gen AI models, focusing on marketing, measurement, and predictive analytics. Explore, test and implement GenAI solutions (e.g., LLMs, embeddings, RAG pipelines) for use cases like personalized marketing, customer insights, or content generation. Scope and define data science projects, set clear deliverables, and collaborate with stakeholders to develop and deploy impactful models. Write clean, well-organized code in GitHub repositories, following version control and collaboration best practices for development with other members of the team Collaborate closely with data engineers to ensure data quality, feature engineering, and the development of efficient data pipelines. Act as a strategic partner to business stakeholders, helping them frame problems in a data-driven way and translating business goals into analytical solutions. Lead discovery sessions with marketing, product, and leadership teams to understand pain points and identify opportunities where data science can create value. Present analytical findings and model results through compelling storytelling, using visualizations and business context to drive alignment and decision-making. #LI-Hybrid What we look for: Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. CPG experience is preferred 1+ years of relevant experience with a Master's degree, or 2-3+ years of experience with a Bachelor's degree. Proven experience working with business stakeholders; business-facing or consulting experience is preferred. Technical Skills Programming: Proficiency in Python and SQL. AI/ML Expertise: Experience developing and deploying machine learning and generative AI (e.g., LLMs, embeddings, RAG pipelines) models. Skilled in predictive modeling, personalized marketing, or customer analytics use cases. Data Handling: Comfortable working with unstructured/messy data. Skilled in data exploration, cleaning, and feature engineering. Tools & Technologies: Familiarity with GitHub and collaborative version control best practices. Experience with cloud platforms such as Google Cloud (BigQuery, GCS) or Azure Synapse is a plus. Knowledge of Docker and cloud-based deployment is an advantage. Analytical & Strategic Skills Ability to translate business problems into data science solutions and scope data projects with measurable impact. Comfortable leading discovery sessions and contributing strategically to cross-functional teams. Skilled in data storytelling and communicating findings clearly through visualizations and business context. Soft Skills Strong communication and collaboration skills; able to work with both technical and non-technical stakeholders. Highly curious, self-motivated, and able to work independently. Strong project management and time management capabilities. Open to learning new tools and methods; adaptable to fast-changing environments. Demonstrates business acumen, Workplace type: Hybrid role - 3 days in our of our offices in US Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That's why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive. Learn more. [U.S.]Additional Information: At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $88,700 - $165,900 -Zone B: $81,300 - $152,100 -Zone C: $73,900 - $138,300 All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.

About Us At MAI (pronounced “my”), we're on a mission to democratize advanced advertising technology. We believe that cutting-edge marketing tools, once exclusive to large enterprises with massive budgets, should be accessible to everyone. Our platform uses AI agents to automate and optimize performance marketing, empowering small and mid-sized businesses to scale their ad spend profitably without the need for an agency or endless hours of manual campaign management. Founded by ad platform veterans from Google and Instacart, we've successfully raised a $25 million Seed funding round led by Kleiner Perkins to accelerate our growth. This capital will be used to expand our product and engineering teams, bringing our vision of intelligent, autonomous marketing to life. Our AI agents have already proven their value, helping clients drive 40% more sales and managing millions in monthly Google Ads spend. Our client waitlist is growing by the day and we couldn't be more excited about building the future of growth marketing. Why Join Now You won't just be a cog in a large machine. You'll be an athlete on a small, focused team with immense impact and the ability to shape the future of our company. You'll have the unique chance to learn and grow your skillset. We encourage you to lean on your specializations while taking on new projects you've never done before, learning from your peers and becoming more well-rounded in your career. What You'll Do Become a Marketing Strategist: You'll dive deep into vast marketing datasets to uncover the "why" behind performance. You'll collaborate closely with our Machine Learning and Operations teams to translate your analytical insights into novel strategies that our AI agents will execute autonomously. Teach Our AI to Answer Questions: You will be a key architect of our analytics agent's "brain". This involves deep work in context engineering-crafting prompts, designing semantic data layers, building robust data pipelines, and developing evaluation frameworks to ensure our agent provides accurate, insightful answers to our customers' toughest data questions. Build the Data Foundation for Intelligence: You'll take ownership of the data that fuels our agents. You will wrangle messy, multi-platform data into a pristine and powerful asset. More importantly, you'll enrich our agents' capabilities by creating critical tools and signals, such as user funnel models, lifetime value (LTV) predictions, and marketing mix forecasts. Shape the Future of an AI-Native Product: You will partner directly with our Product and Engineering teams to see your work come to life. Your analysis and models will directly influence the product roadmap, solve real customer problems, and deliver tangible value. What You'll Bring A PhD or Master's degree in a quantitative field (e.g., Statistics, Data Science, Math, Computer Science), OR a Bachelor's degree with 2+ years of relevant industry experience. Strong statistical and experimental design skills (A/B testing, regression, causal methods) Proficiency in SQL and Python (or R) for data analysis, modeling, and visualization Experience with BI tools (Tableau, Looker, Power BI) and modern data stacks (BigQuery, Snowflake, dbt) Deep understanding of marketing measurement: funnels, attribution, MMM, incrementality Ability to translate complex analyses into clear, actionable marketing insights Excellent communication and cross-functional collaboration skills (Nice-to-have) ML for marketing: propensity/LTV modeling, causal ML, budget optimization Why You'll Love Working at MAI Unparalleled Learning: You'll be at the forefront working with a world-class team. High Impact: As an early member of a lean and powerful team, your work will directly shape our core platform, data insights, our culture, and the success of our customers. A Culture of Curiosity: We're a tight-knit team of passionate builders who value transparency, first-principles thinking, and a relentless drive to solve hard problems together. True Ownership: We believe in empowering our team. You'll have significant autonomy over your work and a clear path for growth as the company scales. Compensation and Benefits We're offering a stake in our success and a commitment to your well-being. Our total compensation package is designed to support you, both professionally and personally: Salary: Depending on your years of experience, a base salary range of $160,000 to $225,000. Equity: We want you to feel invested in our mission, which is why we offer meaningful equity. Health and Wellness: Our medical, dental and vision coverage is designed to take care of you and your family. 401(k): We'll help you build for your future with a competitive 401(k) program. Are you ready to build the future with us? We believe in a holistic approach to hiring. If you're passionate about our mission and have a drive to learn and grow, we encourage you to apply even if you don't meet every single requirement. We value potential, curiosity, and hunger. We can't wait to hear from you.

Data Scientist Duration: 6 Months + Minimum Qualifications - PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. - Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field. - Programming skills in one of the following languages: Java, Scala, C/C++. - Knowledge of one of the scripting languages such as Python or Perl. - Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R. - Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark). - Working knowledge of Relational Data Base Systems and SQL. - Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set. - Excellent communications and organizational skills - Prior experience in this area with eCommerce or Online Retail would be a plus. Additional Information All your information will be kept confidential according to EEO guidelines.

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

At CLARA analytics we build AI-based InsurTech products that help workers' compensation claims examiners get in front of their claims through easy-to-use AI and machine learning. Our CLARA Claims product helps claims managers focus their teams' efforts, while CLARA Providers helps connect the injured worker to the right doctor fast. While there is deep data science behind these solutions, they are packaged in easy-to-use formats that can start delivering value in a few months. Job Description CLARA analytics is looking for extraordinary data scientists to synthesize and leverage ever-growing datasets to help radically transform the operational performance in the workers' compensation sector. The Data Scientist role involves working on all stages of the data science pipeline, from acquiring and assessing data, selecting appropriate models and algorithms and/or deriving custom algorithms, testing and evaluating these algorithms and models, and incorporating them into a commercial product. She/He will work with a team of Data Scientists to create bleeding edge analytic technology. This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate in developing the next generation of truly game-changing, healthcare-related products. Job title and compensation will be adjusted as appropriate to meet the experience level of the right candidate. Qualifications Key Responsibilities Analyze various data sets and build sophisticated mathematical/statistical models Design and optimize algorithms to achieve the best solutions Collaborate with product management and engineering departments to understand company needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Participate in product ideation sessions, roadmap reviews and customer calls as needed. Qualifications & Experience Strong quantitative and analytical skills with an advanced degree in a STEM discipline (Masters required, PhD preferred) Experience using at least two of the following: R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.) Experience defining research hypotheses, analyzing data sets, engineering features and building machine learning mathematical/statistical models and/or optimization algorithms Ability to communicate complex quantitative analysis results in a clear, precise, and actionable manner using a variety of presentation tools including Excel, PowerPoint, etc. Ability to work collaboratively and independently. Personal Characteristics A passion for data science and problem-solving in general Self-driven individual who can take a high level idea and see it through to completion with minimal supervision The desire and ability to work in a fast-paced, start-up atmosphere Takes a pragmatic approach to problem-solving, combined with the ability to thrive under the pressure of constant change and moving objectives Ability to work under tight deadlines and display grace under pressure Willingness to learn about the industry we serve Excellent organizational, interpersonal, and communication skills (both written and verbal). Additional Information At CLARA analytics, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are seeking a highly analytical and business-savvy Marketing Data Scientist to join our team. In this role, you will leverage advanced analytics, statistical modeling, and machine learning to uncover insights, optimize marketing campaigns, and drive data-informed decision-making. You will work closely with marketing, product, and sales teams to measure performance, predict customer behavior, and improve return on investment (ROI). **Key Responsibilities:** + **Data Analysis & Insights** + Collect, clean, and analyze large-scale marketing and customer datasets. + Identify trends, customer segments, and behavioral patterns that inform marketing strategies. + Translate complex data into actionable insights for business stakeholders. + **Modeling & Forecasting** + Develop predictive and propensity models (e.g., customer acquisition, churn, lifetime value). + Use machine learning and statistical techniques to optimize campaign targeting and personalization. + Build marketing mix models (MMM) and attribution frameworks to assess channel effectiveness. + **Experimentation & Measurement** + Design and analyze A/B tests and multi-variant experiments to measure campaign impact. + Establish KPIs, dashboards, and reporting frameworks to monitor marketing performance. + Partner with marketing teams to measure ROI of campaigns and initiatives. + **Collaboration & Strategy** + Work cross-functionally with marketing, product, data engineering, and finance teams. + Present findings and recommendations to senior stakeholders in clear, compelling narratives. + Provide data-driven support for go-to-market strategies, budget allocation, and customer engagement initiatives. **Qualifications:** + Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Marketing Analytics, or related field. + 3-5+ years of experience in data science, marketing analytics, or a similar role. + Strong proficiency in **SQL** and programming languages such as **Python or R** . + Experience with data visualization tools (e.g., Tableau, Looker, Power BI). + Solid understanding of marketing principles, digital advertising, and customer lifecycle management. + Hands-on experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch). + Strong communication skills with the ability to simplify complex data into clear business insights. + Familiarity with cloud data platforms (e.g., Google BigQuery, AWS Redshift, Snowflake) is a plus. **Preferred Skills (Nice-to-Have):** + Experience with marketing attribution models, MMM, or incrementality testing. + Knowledge of web analytics tools (e.g., Google Analytics, Adobe Analytics). + Familiarity with CRM and marketing automation platforms (e.g., Salesforce, HubSpot, Marketo). + Previous experience in a tech, e-commerce, or advertising environment.

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

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity We are seeking an experienced Data Scientist to join the Adobe Stock Analytics and Insights team! This will be a key hire for the Data Science CoE (Center of Excellence) for the Adobe Stock business unit. You will partner closely with Marketing, Product, and Engineering teams to develop data science solutions that inform acquisition strategies, optimize retention, and forecast demand. Your work will directly influence Adobe Stock's roadmap by uncovering growth levers and patterns in user behavior, acquisition channels, and user churn dynamics. What you'll Do * Develop and refine customer segmentation models using unsupervised learning techniques to identify behavioral clusters and inform targeting strategies. * Build and maintain forecasting models (e.g., ARIMA, Prophet) to predict demand and user engagement trends. * Define and exemplify the value of customers over time (LTV) and develop strategies to improve it in acquisition and retention processes. * Lead churn modeling initiatives to proactively identify at-risk users and recommend mitigation strategies. * Create reusable machine learning pipelines and data artifacts that scale across the organization. * Collaborate with cross-functional teams to design experiments and interpret results, including A/B testing and cohort analyses. * Share complex modeling outcomes and insights with both technical and non-technical collaborators. What you need to succeed * 8+ years of experience in data science or advanced analytics, ideally within eCommerce or digital platforms. * Strong proficiency in Python and SQL for data manipulation, modeling, and analysis. * Experience with Databricks or similar cloud-based data platforms. * Deep understanding of time series forecasting, including ARIMA, Prophet, and other statistical models. * Proven ability to build and deploy unsupervised learning models for customer segmentation. * Expertise in data visualization tools like Tableau or equivalent. * Strong foundation in statistical modeling, experimentation, and lifecycle analytics. * Ability to work independently and lead complex projects from ideation to delivery. * BS degree in computer science or a related degree is required or equivalent practical experience Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $154,900 -- $281,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $194,000 - $281,000 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

The Stankovic Laboratory at Stanford University School of Medicine seeks a highly motivated research scholar with expertise in data science, epidemiology, and computational analysis of large-scale electronic health record (EHR) data. The individual will join a dynamic, interdisciplinary team in the Stanford Department of Otolaryngology-Head & Neck Surgery, with access to the university's rich ecosystem of data science, epidemiology, and computational health resources. Mentorship will emphasize both technical skill development and career advancement. Opportunities for co-authorship, conference presentations, and cross-disciplinary collaborations are abundant. Data Scientist to be with some independence, consult with investigators to refine research questions, define hypotheses, design studies and devise analysis plans. Work with senior statistician(s) to implement analysis plan and publish findings. Present results orally to clinical investigators. Provide guidance to clinical investigators on design and analysis issues. Include with Application * Cover letter describing your background, programming experience, and research interests. * Curriculum vitae. * Contact information for three references. * (Optional but encouraged) A link to a GitHub repository, portfolio, or example of prior analytic work demonstrating programming or data analysis skills. Data Scientist Duties include*: * Design study. Extract, manage, and analyze large-scale EHR data within secure data environments (e.g., N3C Enclave and Cosmos). Implement epidemiologic study designs (e.g., retrospective cohort, target trial emulation, propensity-score matching). * Develop and implement protocol for quality control. Develop reproducible code in Python and/or R for data wrangling, analysis, and visualization. * Create analytic files with detailed documentation. * Select appropriate statistical tools for addressing a given research question. Conduct and interpret statistical analyses including regression, survival, and longitudinal models. * Implement data analysis through statistical programming. * Present results for investigators using graphs and tables. * Summarize findings orally and in written form. Contribute to grant proposals and new analytic frameworks. * Participate in the preparation of papers for publication. Collaborate on manuscript writing, figure preparation, and presentation of findings for ongoing projects in the lab. * Consult with investigators on appropriate statistical approaches to data analyses; assist in study design and proposal development. * Mentor collaborators in areas of experimental design, quality control, and statistical analysis. Engage in interdisciplinary collaboration with hearing and balance researchers, physicians, and epidemiologists. * Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles. * Devise methods for identifying patterns and trends in available information sources using a variety of qualitative and quantitative techniques. Determine and recommend additional data collection and reporting requirements. * - Other duties may also be assigned. DESIRED QUALIFICATIONS: * Master's or PhD degree in a quantitative or biomedical field such as Epidemiology, Biostatistics, Data Science, Computer Science, Biomedical Informatics, or related discipline. * Strong proficiency in Python and/or R for data analysis and statistical modeling. * Experience with EHR, large-scale health data (OMOP, PCORnet, or similar), or real-world databases (e.g., Optum, IQVIA, Merative, Medicare/Medicaid, etc.) * Understanding of epidemiologic study design, bias, and confounding. * Excellent written and verbal communication skills, with proficiency in English. * Commitment to reproducible and transparent research practices. * Interest in collaborative science. Preferred: * Experience working with Spark/PySpark, SQL, or cloud-based analytic environments. * Familiarity with propensity-score matching, survival analysis, or causal inference methods. * Prior exposure to biomedical or neuroscience applications (hearing or sensory research not required). EDUCATION & EXPERIENCE (REQUIRED): Master's degree in biostatistics, statistics or related field and at least 3 years of experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): * Proficient in at least two of R, SAS, SPSS, or STATA. * Skills in descriptive analysis, modeling of data, and graphic interfaces. * Outstanding ability to communicate technical information to both technical and non-technical audiences. * Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator). PHYSICAL REQUIREMENTS*: * Frequently perform desk based computer tasks, seated work and use light/ fine grasping. * Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May work extended or non-standard hours based on project or business cycle needs. WORK STANDARDS: * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* The expected pay range for this position is $115,103 to $134,261 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information * Schedule: Full-time * Job Code: 5522 * Employee Status: Regular * Grade: I * Requisition ID: 107913 * Work Arrangement : Hybrid Eligible

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is seeking a product-focused Data Scientist to join our Analytics & Data Science team. In this high-impact role, you'll partner closely with product development teams to transform raw user data into actionable insights that drive growth for Airtable's self-serve business. You'll own critical data pipelines, design and analyze experiments, build dashboards, and deliver strategic insights that inform executive decision-making. This is a unique opportunity to shape the future of a data-driven, AI-native SaaS company and scale analytics best practices across the organization. What you'll do Own and maintain core product data pipelines across DBT, Looker, and Omni, ensuring reliability, scalability, and minimal downtime Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas Lead the development and delivery of company-wide strategic insights that connect user behavior patterns and inform executive decisions Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports Establish trusted partnerships with product managers, engineers, analysts, and leadership as the go-to resource for product data insights and technical guidance Collaborate with leadership to define the analytics roadmap, prioritize high-impact initiatives, and assess resource needs for scaling product analytics capabilities Mentor junior team members and cross-functional partners on analytics best practices and data interpretation; create documentation and training materials to scale institutional knowledge Support end-to-end analytics for all product launches, including tracking implementation, validation, and post-launch reporting with documented impact measurements Deliver comprehensive strategic analyses or experiments that connect user behavior patterns and identify new growth opportunities Lead or participate in cross-functional projects where data science contributions directly influence product or strategy decisions Migrate engineering team dashboards to Omni or Databricks, enabling self-serve analytics Who you are Bachelor's degree in computer science, data science, mathematics/statistics, or related field 6+ years of experience as a data scientist, data analyst, or data engineer Experience supporting product development teams and driving product growth insight Background in SaaS, consumer tech, or data-driven product environments preferred Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery); sets standards and mentors others on best practices Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode) Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels) Proven ability to apply AI/ML tools - from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot) Strong statistical foundation; designs and scales experimentation practices that influence product strategy and culture Translates ambiguous business questions into structured analyses, guiding teams toward actionable insights Provides thought leadership on user funnels, retention, and growth analytics Ensures data quality, reliability, and consistency across critical business reporting and analytics workflows Experience at an AI-native company, with exposure to building or scaling products powered by AI Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and expertise in event taxonomy design Strong documentation and knowledge-sharing skills; adept at creating technical guides, playbooks, and resources that scale team effectiveness Models curiosity, creativity, and a learner's mindset; thrives in ambiguity and inspires others to do the same Crafts compelling narratives with data, aligning stakeholders at all levels and driving clarity in decision-making Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$205,200-$266,300 USDFor all other work locations (including remote), the base salary range for this role is:$185,300-$240,000 USD Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ***************. Learn more about avoiding job scams here.

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model's performance for iterations to come, thus having a lasting impact on Cohere's tech. Cohere is looking for dynamic and dedicated Data Annotators with backgrounds and skills in Safety Labelling or Content Moderation. IMPORTANT CONTEXT ON THIS ROLE: In this position, you will be asked to engage with human-generated and model-generated tasks, which will sometimes mean intentional exposure to explicit content. Your annotations on these explicit tasks will be used to prevent the Large Language Model from generating unintentional or adversarial, toxic or unsafe outputs. The types of explicit content you may be exposed to may include, but are not limited to, those of a sexual, violent, or psychologically disturbing nature. Please Note: This is a part-time independent contractor position available within the United States only. We seek candidates who can commit to 20 hours per week at a US $40/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). This position is remote!! As an AI Data Trainer, you will: Improve Model Safety: label, proofread, and improve machine-written and human-written generations, ensuring data integrity and quality. This will include work with content of a sexual, violent, or psychologically disturbing nature. Read and Complete Text-Based Tasks: efficiently complete reading and text-based assignments, with high attention to detail. Work on Preference-Based Tasks: evaluate and complete tasks, assessing which responses best conform to our evaluations guide. Share Feedback: Collaborate and communicate effectively, providing feedback to cross-functional team members. Execute in a Detail-Oriented Fashion: Maintain meticulous attention to detail while performing repetitive and precise tasks. You may be a good fit if you have: 1+ years of experience in Content Moderation and/or Trust and Safety. Emotional resilience: an understanding that this role requires annotating texts that contain unsafe, explicit, and/or toxic content, including content of a sexual, violent, or psychologically disturbing nature. Excellent command of written English. Expert reading and writing skills, which you are ready to prove on our written assessment. Bonus points if you are fluent in another language! Strong attention to detail and commitment to accuracy- you're the type to proofread all of your emails! High tolerance for repetitive and monotonous work + superb sense of urgency and time management. As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability . As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week. The Candidate Journey: Initial Screening: Once you have submitted your application our Talent Team will review your resume and writing samples. Multiple Choice English Test: This multiple-choice test will assess your proficiency in English. Written Task and Emotional Resilience Assessment: You will complete an assignment evaluating your writing skills and answer a few questions that will assess your ability to handle stress/cope with difficult situations. Video Interview: If selected to move forward, you will have a short video call with a member of our Operations Team! Offer: Independent Contractor Agreement. Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material. If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑 💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ✈️ 6 weeks of vacation (30 working days!)