Eight Sleep is the world's first sleep fitness company. Our mission is to fuel human potential through optimal sleep. We use innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody-changing the way people sleep forever and for the better. With our flagship product, the Pod, we are addressing critical sleep issues such as temperature regulation, bed elevation, snoring reduction, and the wake-up experience. Hundreds of thousands of customers around the world sleep better every night thanks to the Pod. But we're just getting started. We're committed to developing more groundbreaking products to tackle additional sleep problems, changing the role sleep plays in our lives forever. We're excited about the journey ahead and the impact we can make as we continue to innovate and expand our offerings to fulfill our mission. We are backed by leading Silicon Valley investors like YC Combinator, Founders Fund, Valor, and Khosla Ventures, and we have been recognized as one of Fast Company's Most Innovative Companies in 2018, 2022, and 2023. The Pod was also recognized two years in a row by TIME's "Best Inventions of the Year." We currently sell the Pod in the United States, Canada, the United Kingdom, Europe, and Australia. Before you apply Eight Sleep is an intense environment: we're demanding and ambitious, which means we ask a lot of ourselves and one another. This means fantastic learning opportunities, achievements, and career growth, but it also requires a significant commitment. Our dedication, drive, and intensity rival those of Olympic athletes. At Eight Sleep, we embody Kobe Bryant's mamba mentality: we always aim to be at the top 1% of what we do. If you're looking for a 9-5, this is not for you. Our employees report working up to 60 hours per week. If you want to be challenged and pushed harder than ever before, we invite you to apply. About the role We are looking to hire an experienced Data Scientist who has a track record working with human data in the consumer wellness or digital health space. This role will be responsible for core data intelligence features, exploratory data analysis, user-facing insight generation, and publication of findings to the world. This position is ideal for a data scientist looking to work on a massive amount of human data with a highly collaborative R&D team in a fast paced setting. Your work will positively impact hundreds of thousands of members by improving their sleep and health. How you'll contribute Improve core intelligent features such as Pod temperature actuation Develop user-facing insights that link behavior, physiology, and Pod actuation Data analysis of research studies that lead to new features, including data engineering of study data Collaborate with Product, Software, and Marketing to productionize features What you need to succeed Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or equivalent 4 years of industry experience as a data scientist, including: 1 years of working with time-series human physiology data 2 years of machine learning experience, including classical techniques and deep learning 2 years applying statistics to real world data Proficient in the following languages and tools: Python or R; able to run common statistical tests (e.g. t-tests, ANOVA, multiple regression, linear mixed models) Data visualization tools (e.g. plotly, seaborn, ggplot2, matplotlib) SQL and Github Experience shipping features into production Able to clearly communicate, is attentive to detail, and is adaptable to changes in a fast-paced environment Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn't just encouraged - it's a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you'll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company's trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you - perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you'll get your own Pod, along with: Full access to health, vision, and dental insurance for you and your dependents Supplemental life insurance Flexible PTO Commuter benefits to ease your daily commute Paid parental leave List of benefits may vary depending on your location At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status

QuantumScape developed the industry's first anode-less cell design, which delivers high energy density while lowering material costs and simplifying manufacturing. Our innovative battery cell technology can store energy more efficiently and reliably than today's lithium-ion batteries. Job Description: Collect and process spectral data (e.g., FTIR, Raman, X-ray, Mass spectrometry, etc.), including noise reduction, baseline correction, normalization, and feature extraction. Develop and apply statistical models, machine learning algorithms, and data visualization tools to process large datasets and extract meaningful insights. Understand acquired data with professional interpretation and analysis. Provide regular summaries and reports to internal teammates and cross-functional team based on the analyzed results. Collaborate with teammates for other in-house analytical tests when necessary. Minimum Requirements: Bachelor's degree in Chemistry, Physics, Material Science, Data Science, or a related field with a focus on spectroscopy and data analysis. 3 years of experience in spectroscopy data analysis OR Master's degree and 1 years of experience. Strong background in various spectroscopy techniques (e.g., NMR, FTIR, Raman, UV-Vis, MS). Hand-on experience with statistical modeling, machine learning, time series and 2D data analysis applied to scientific data. Proficiency in Python, R, or MATLAB for data processing and statistical analysis. Ability to troubleshoot complex data sets and analytical challenges in spectroscopy. Excellent verbal and written communication skills to convey technical results to non-expert stakeholders. Nice to have: Knowledge and experience in battery materials and process Comprehensive knowledge in characterization techniques Proficiency in JMP This position is required to perform these above essential duties and responsibilities onsite at our QS offices. Compensation & Benefits: Salary range for this role is between $97,900 and $120,000, and a final salary will be determined by the candidate's experience and educational background. QuantumScape also offers an annual bonus and a generous RSU/Equity package as part of its compensation plan. In addition, we do offer a tremendous benefits plan including employee paid health care, Employee Stock Purchase Plan (ESPP), and other exciting perks. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request an accommodation.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours The Opportunity At Adobe Express, we're on a mission to democratize content creation. Our vision is to provide a platform where anyone, regardless of their background or experience, can effortlessly craft exceptional content that resonates. We're not just creating an app; we're fostering a movement. Adobe Express embodies our unwavering commitment to facilitating content creation that's easy, instinctive, and rapid. Dive into a world where crafting captivating social media posts, engaging stories, striking ads, dynamic banners, professional logos, and eye-catching flyers takes mere minutes. The best part? It's all within your reach in a single, all-in-one contentcreation app. Join us at Adobe Express and be part of a pioneering endeavor that's reshaping the way people express themselves. Your skills and creativity will play a pivotal role in shaping this exciting new chapter in content creation. Are you ready to elevate your data science career? We're seeking a dynamic and motivated hands-on data scientist to join our team. In this strategic role, you'll collaborate with product managers, growth marketers, and the leadership team to drive key decisions that shape the future of our products. If you're passionate about understanding users and optimizing all parts of their journey, this opportunity is tailor-made for you Join us and help build better software while scaling our capabilities to new heights. Responsibilities Prioritize and Lead Analytics Initiatives : Dive deep into Adobe Express data to uncover new product and business opportunities. Develop and execute a machine learning strategy and roadmap. Strategic Partnership : Collaborate with product development teams and leadership to shape business strategy and product roadmaps informed by analytical insights. Experimentation and Analysis : Design, implement, and analyze A/B experiments. Deliver comprehensive reports and actionable insights that drive product enhancements. Foster Data Culture : Motivate data science and product teams by championing experimentation and sharing product insights that lead to innovation. Cross Collaboration & Communciation : Work closely with development teams on product instrumentation, user flow analysis, and data capture to ensure robust data foundations. What we're looking for Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering. Advanced degrees are preferred. 2 years of hands-on technical experience in a data science role Proven ability to explore large datasets, extract meaningful insights, and translate these into real-world results. Experience in ML modeling and data inference is highly desirable. Strong skills in understanding data, coupled with creative thinking and problem-solving abilities. Demonstrated history of deriving insights from data analyses and effectively communicating these to product and business leaders. Someone who is a self-starter, takes ownership, and drives solutions to completion, solving problems thoroughly and proactively. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $127,300  $229,300 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC  base  commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 accommodationsadobe.com or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role We're looking for a highly skilled Senior Data Scientist to play a pivotal role in the Member Data Science team, responsible for driving Growth, Engagement, and Retention strategies. The Member Organization is the connective tissue at SoFi, we are dedicated to understanding our members and their behaviors to help them achieve financial independence and reach their goals As a Sr. Data Scientist, you'll use your expertise in data analysis, statistical modeling, and machine learning to uncover insights that will directly influence product strategy and revenue growth. This role demands a strong technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and exceptional collaboration skills. This role is inherently cross-functional-you will work closely with engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them. This is an exciting role for someone to make a direct impact on the company's financial performance and customer experience. What You'll Do Design and implement data collection and processing pipelines Develop and apply machine learning models to solve business problems Strong experience owning product analytics workflows including formulating success metrics, socializing them across the organization, and creating dashboards/reports Evaluate and interpret the results of data analysis Communicate findings to technical and non-technical stakeholders Stay up-to-date on the latest data science techniques and technologies Build data pipelines to deploy production level datasets What You'll Need: Bachelor's degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field. 4 years of relevant work experience Strong programming skills in SQL, Python/R and proficiency in Tableau Experience with using DBT, Airflow to build Data Pipelines in Snowflake Experience with A/B Testing, quasi-experimentation for causal inference and insights Experience with data mining, descriptive analytics, defining KPIs, machine learning, statistical modeling and predictive modeling concepts. Demonstrate strong business acumen and curiosity with excellent communication and presentation skills with leadership Ability to work independently and as part of a team. You should be able to initiate and drive projects to completion Exceptional problem-solving skills Influence outcomes and communicate technical content to general audiences Work independently in a dynamic, cross-functional environment, with strong attention to detail and be a team player. Prepare comprehensive data reports and share insights with stakeholders Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensiveand competitivebenefits, visit our Benefits at SoFi page SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodationssofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

About Faire Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire leverages the power of machine learning (ML) and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. As a Data Scientist on the Retailer or Brand team, you'll tackle a diverse set of challenges, such as optimizing freight costs, calculating optimal credit limits, personalizing landing pages for new retailers, predicting brand and retailer lifetime value, and improving product listings using AI. You'll collaborate closely with other data scientists, engineers, and product managers to drive projects that unlock value from our unique, rich, and rapidly growing two-sided marketplace data. Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there What you'll do Shipping cost optimization: Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. These models may use live carrier information and be both performant and explainable. Underwriting: Improve Faire's Net Terms portfolio by evaluating the creditworthiness of retailers on the platform. Use predictive modeling to dynamically assign credit limits that minimize default risk while maximizing growth. Leverage ML models to improve the retailer Identity Verification (IDV) experience, reducing default losses for new retailers. Retailer Growth: Build models to automatically generate landing pages and content to target search engine demand. Use natural language processing to understand search engine keyword intent and match to relevant internal content. Build ML models to generate intelligence about retailers to power personalization. Predict retailer lifetime values to optimize retailer acquisition spend. Brand Growth: Prioritize brand leads for sales by predicting their lifetime value. Estimate the incremental value of new brands based on Faire's existing selection and brand characteristics. Optimize how new brands are featured and explored. Listing Quality and Catalog Growth: Use AI techniques to detect and correct image issues, generate product titles and descriptions, extract product attributes, and predict product taxonomy. Perform entity resolution in order to match products across multiple data sources and link product variants. Marketplace Quality: Summarize and tag retailer reviews using LLMs. Detect and remove products that violate Faire's policies, such as counterfeits. Use marketplace levers to direct retailers toward brands with higher service quality. Qualifications An advanced degree (MS or PhD) in a relevant discipline such as statistics, economics, econometrics, mathematics, computer science, operations research, etc. Strong machine learning skills and 3 years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning) Strong programming skills (Python, Java, Kotlin, C++) Knowledge of statistical techniques such as experimentation and causal inference SQL or other database querying experience preferred An excitement and willingness to learn new tools and techniques Salary Range California: the pay range for this role is $177,500 to $244,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. This role will be in-office on a hybrid schedule - Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays, effective the week of January 13, 2025. Additionally, in-office roles will have the flexibility to work remotely up to 4 weeks per year. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you'll love working at Faire We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped over one million people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values (https://ouraring.com/about-us) and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings and employee hubs, including New York City, Boston, Los Angeles, Seattle, and more. We are looking for a Machine Learning Data Scientist to work within the Women’s Health team to develop and commercialize novel new machine learning models and algorithms. What you will do: Build and deploy machine learning pipelines and models for Women’s Health features. Work closely with a cross-functional team of scientists, product managers, software developers, product designers, test engineers, etc. to commercialize new features to bring value to our members. Deliver robust statistical analyses of machine learning models and algorithms for model performance evaluation, monitoring, and for drawing insights to support product decisions. Conduct early stage exploratory research to identify and characterize new potential health sensing features and functionality. Develop proof-of-concept features and work with a cross-functional team to take these from POC to a commercialized product. This is a remote US role with a slight preference for candidates based in San Francisco, San Diego, or Boston. Requirements We would love to have you on our team if you: Have a PhD in biomedical engineering, electrical engineering, biostatistics, computer science or a related field, OR a Master degree in related fields with 3 years of relevant work experience. Healthcare or health tech experience is preferred. Have 3 years of solid programming skills in Python and SQL. Have experience with multiple machine learning and statistical modeling approaches. Have a strong understanding of probability and statistics. Have experience developing and validating time-series algorithms. Are self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively. Possess excellent communication skills and can summarize and clearly articulate your work and thinking process to both technical and non-technical team members. Are comfortable working with a diverse and talented group of team members residing throughout the globe, and can accommodate weekly off hour meetings with European colleagues and traveling for onsite meetings up to 3 times per year. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Amazing culture of collaborative and passionate coworkers Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 $166,500 - $185,000 Region 2 $158,175 - $175,750 Region 3 $149,850 - $166,500 A recruiter can determine your zones/tiers based on your US location. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes. Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Data Scientist Jobs in Hayes Valley, CA

Data Scientist Rd
December 10, 2024

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Machine Learning Data Scientist Womens Health
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Spectroscopy Data Scientist
December 5, 2024

Senior Data Scientist
December 5, 2024

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Data Scientist Jobs in Hayes Valley, CA

Data Scientist RdDecember 10, 2024

Spectroscopy Data ScientistDecember 10, 2024

Senior Data ScientistDecember 10, 2024

Senior Data Scientist Member InsightsDecember 10, 2024

Senior Data ScientistDecember 10, 2024

Machine Learning Data Scientist Womens HealthDecember 10, 2024

Machine Learning Data Scientist Womens HealthDecember 7, 2024

Spectroscopy Data ScientistDecember 5, 2024

Senior Data ScientistDecember 5, 2024

Quick filters

Top companies

Data Scientist Rd
December 10, 2024

Spectroscopy Data Scientist
December 10, 2024

Senior Data Scientist
December 10, 2024

Senior Data Scientist Member Insights
December 10, 2024

Senior Data Scientist
December 10, 2024

Machine Learning Data Scientist Womens Health
December 10, 2024

Machine Learning Data Scientist Womens Health
December 7, 2024

Spectroscopy Data Scientist
December 5, 2024

Senior Data Scientist
December 5, 2024