Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify's revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude. Are you ready to apply your machine learning expertise to make a real impact? Join our team as a Staff Data Scientist and build cutting-edge models for some of the nation's largest health plans to tackle claims errors-from simple mistakes to complex fraud. Billions of dollars are lost to such errors each year, yet fewer than 10% claims are ever audited. Our models are transforming this process, helping insurers pinpoint the right claims to audit, recover hundreds of millions in wasted medical spend, and streamline operational efficiency. We have already made great strides, outperforming human selection, but the journey is just beginning-and that's where you come in. The Role: We're seeking a Staff Data Scientist to push our models to new heights. You'll lead the charge on refining model accuracy and scalability, building frameworks and tools that empower our team and amplify impact across healthcare. What You'll Do: <ul> <li>Master Claim Audits: Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes. </li><li>Model Advancement: Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision. </li><li>Optimize Impact: Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients. </li><li>Tame Complexity: Work with vast, nuanced data pipelines derived from intricate business workflows-often unclean and undefined-to refine them for robust modeling. </li><li>Drive Team Success: Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency. </li><li>Grow with Healthcare: Build expertise in healthcare data and make an impact on the industry. Engage with clients and internal experts to refine model insights, ensuring alignment with real business needs. </li></ul>What You Bring: <ul> <li>Real-World Impact: Extensive experience solving business problems through ML models that drive tangible outcomes. </li><li>Team-Driven Innovation: A track record of developing frameworks and tools that elevate team productivity. </li><li>Strategic and Detail-Oriented: Able to map out high-level plans without missing the crucial details. </li><li>Results-Obsessed: Proven skills in measuring and optimizing the business impact of ML models. </li><li>Data Dexterity: Experienced in handling and transforming complex, unstructured data at scale. </li><li>Production Ready: You write production-quality code, build resilient pipelines, and have a history of deploying models despite practical hurdles. </li><li>Healthcare Enthusiasm: A deep curiosity for healthcare; prior experience with health plan data is a huge plus. </li><li>Client-Focused Communicator: Proactive and comfortable sharing insights cross-functionally, with a knack for distilling complex data for impactful storytelling. </li></ul> Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.

Please review the job details below. Summary Maxar is seeking a Sr. Staff Data Scientist to join our Insights team. The team is based in Westminster, CO, but Palo Alto, CA is another possible location. In this role, you will build state-of-the-art, Cloud-based machine learning, computer vision, and image processing algorithms to extract information and insight from our massive petabyte-scale imagery archive. We work on a wide variety of image-processing topics ranging from deep learning to physics-based models to understand our changing planet. You will contribute to challenging and rewarding projects of national and worldwide importance. Maxar has a geographically distributed workforce, including remote employees, across many different time zones. This role operates on a hybrid work schedule with the expectation of 3 days in the office and 2 days remote. Responsibilities Develop next-generation technology for image processing, machine learning, and predictive analytics. Develop innovative, scalable algorithms and software prototypes for advanced image processing projects, including object detection, image segmentation, change detection, and pattern of life analysis. Work collaboratively with scientists, technical leads, product managers, customers, and end users to collect requirements, design solutions, and deliver software. Travel to other company sites or customers to interact with business leaders and collaborate with other development teams. Represent the organization in business development, including briefing customers on company capabilities. Represent the organization at external conferences and present advancements with our products. Provide thought leadership and direction to help guide research and development at Maxar. Minimum Qualifications Must be a U.S. Citizen or Permanent Resident Ph.D. degree in Computer Science, Engineering, Applied Mathematics, or a related STEM discipline plus a minimum of 3 years of experience; or a Master's degree in the same fields plus a minimum of 6 years of professional experience. Experience with software development and algorithm design with Python. Advanced expertise and a track record of significant achievement in image processing or related fields. Excellent verbal and written communication skills. Excellent leadership and collaboration skills. Preferred Qualifications Expertise in a subset of the following: machine learning, object detection, image segmentation, computer vision, image processing, remote sensing, spectral science, neural models for autonomous vehicles/robotics, structure from motion (SfM), natural language processing (NLP), large language models, data fusion, change detection, and pattern of life analysis. Experience with satellite image analysis using imagery from Sentinel-2, Landsat, MODIS, or high-resolution sensors. Familiarity with geographic information systems (GIS) and geospatial data. Experience in software design and development, including proficiency with modern software development practices and tools. Proficiency with continuous integration, and continuous delivery approaches to software development and deployment in cloud-based environments. Experience with Linux and GPU computing in an HPC cluster environment. Experience with cloud computing environments, such as AWS. Experience building applications in Docker containers. Experience automating their deployment, scaling, and management using Kubernetes. Experience building model inference workflows using model inference platforms or workflow orchestration tools, such as KServe or Argo Workflows. Ability to work independently and collaboratively with remote and/or geographically distributed teams. In support of pay transparency at Maxar, we disclose salary ranges on all of our U.S. job postings. We use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. To accommodate all locations, we have listed the bottom to the top of the possible range, and will share the target range for a specific location during the recruiting discussion. Individual pay will be competitive based on a candidates unique set of knowledge, skills, and geographic diversity, with earnings potential commensurate with experience. The range for this position is: $107,000.00 - $229,000.00 annually. We offer a comprehensive package of benefits including paid time off, health and welfare insurance, and 401(k) to eligible employees. You can find more information on our benefits at:https://www.maxar.com/careers/benefits Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. This position will be posted for a minimum of three business days, and will be posted until a qualified candidate has been identified for hire. Maxar employees must follow all applicable Maxar policies and COVID-19 requirements as well as those of Maxar customers and third parties. Individual job requirements may vary, and Maxar reserves the right to modify its policies and requirements as it deems appropriate in accordance with applicable law. Maxar Technologies values diversity in the workplace and is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

The Quantitative Sciences Unit (QSU) is an interdisciplinary collaborative statistics unit in the Biomedical Informatics Research Division within the Department of Medicine at Stanford University. The mission of the QSU is to facilitate cutting-edge scientific studies initiated by Stanford investigators by providing expertise in biostatics and informatics, to mentor and educate clinical investigators in research methods and to mentor data scientists. To optimally achieve this mission, the QSU members become fully integrated into individual research teams.The QSU is seeking a highly motivated, hard-working and professional computational biology data scientist to extend our team of collaboration with clinical, immunological and bioinformatical researchers. We generate and have access to clinical and immunological data as well as many large data sets, including mass cytometry (CyTOF) and single cell sequencing data. The successful candidate will join a vibrant team of academic statisticians working on a wide variety of collaborative projects in medicine. This position holds excellent career development opportunities. This is an academic staff fixed-term position.Duties include:* Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan.* Experience in single cell data analyses and integrative multi-omics approaches is a strong plus.* A background in immunology and experience working with clinical trial data will be a plus and will help in the development of independent research projects.* Oversee junior-level data scientists on data cleaning and creation of analytic files and mentor junior-level data scientists in the area of conducting collaborative research.* Lead methodological projects related to collaborations on topics including the evaluation of software or methods as well as the development of novel methods, as need arises within QSU collaborative projects.* Collaborate with clinical and lab-based investigators on campus including the Heart Center, the Department of Medicine, the Department of Neurosurgery, and the Stanford Cancer to independently design studies and develop analysis plans. More specifically, the incumbent will meet one-on-one with the collaborator to gain background on the study and the research questions and help to refine the questions and formulate the hypotheses. The incumbent will also extract necessary information to design the study with optimal operating characteristics and to develop a sound analysis plan.* Develop oral and written dissemination of findings for meetings with collaborators or for medical and/or statistical journal articles. The incumbent is also expected to develop lectures on statistical methods or statistical programming for the training of clinical investigators as needed and for the training of junior biostatisticians. In addition, the incumbent will participate in developing and writing grant proposals.REQUIRED:* Ph.D. in Computational Biology, Biostatistics, Statistics, Bioinformatics or related field.* Capable of functioning independently and collaboratively at an advanced level under the overall direction of the QSU Director* Experience with multiple programming languages such as Python and R.* Outstanding oral and written communication skills with the ability to communicate technical information to all audiences.* Skilled in descriptive analysis, modeling of data, and graphic interfaces.* Demonstrated expertise in analytic tools.DESIRED:* At least five years of experience collaborating as a computational biologist or biostatistician is desirable.* Experience supervising technical staff including training, mentoring and coaching.* Experience developing and writing grant proposals.The expected pay range for this position is $102,000 to $129,000 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.Why Stanford is for YouImagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:* Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.* A caring culture. We provide superb retirement plans, generous time-off, and family care resources.* A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.* Discovery and fun. Stroll through historic sculptures, trails, and museums.* Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.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.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 at stanfordelr@stanford.edu. For all other inquiries, please submit 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.Additional Information* Schedule: Full-time* Job Code: 6438* Employee Status: Fixed-Term* Grade: R99* Requisition ID: 103453* Work Arrangement : Hybrid Eligible

Responsibilities: Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China. Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world. Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players. Level Infinite is Tencent's global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. As a Data Scientist Intern at Tencent Games, you will be responsible for: 1. Collecting, analyzing, and interpreting data to provide data-driven insights and solutions to business problems in the gaming industry, including various analysis and decision-making scenarios under R&D, marketing and operation stages. 2. Developing scalable, efficient, and automated processes for data analysis, AB test, machine-learning model, model validation and serving. 3. Collaborating with data product managers and data engineers to design and implement end-to-end data solutions in game development, publishing, and live-ops. 4. Researching new machine learning approaches, such as AIGC-related technologies, and exploring their potential applications in the gaming industry. Requirements: To be considered for this position, you should have: 1) Currently in Ph.D. program in a quantitative discipline, such as computer science, machine learning, or math/statistics. A strong publication record is preferred. 2) A passion for applying mathematical models and computer science technology to data-driven business decision-making, along with profound insights and understanding of the gaming industry. 3) Expertise in mathematical modeling, statistical analysis and machine learning, including probabilities, time series analysis, A/B testing, AIGC, etc. 4) Proficiency in programming languages such as Python, SQL, or related languages.

Data Scientist Jobs in Stanford, CA

Staff Data Scientist
November 19, 2024

Sr Staff Data Scientist
November 2, 2024

Sr Staff Data Scientist
November 1, 2024

Sr Lead Internal Audit Data Scientist
October 31, 2024

Staff Data Scientist Motion Planning Autonomy
October 31, 2024

Sr Lead Internal Audit Data Scientist
October 30, 2024

Computational Biology Data Scientist
October 29, 2024

Data Scientist Intern
October 27, 2024

Staff Data Scientist Motion Planning Autonomy
October 26, 2024

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Data Scientist Jobs in Stanford, CA

Staff Data ScientistNovember 19, 2024

Sr Staff Data ScientistNovember 2, 2024

Sr Staff Data ScientistNovember 1, 2024

Sr Lead Internal Audit Data ScientistOctober 31, 2024

Staff Data Scientist Motion Planning AutonomyOctober 31, 2024

Sr Lead Internal Audit Data ScientistOctober 30, 2024

Computational Biology Data ScientistOctober 29, 2024

Data Scientist InternOctober 27, 2024

Staff Data Scientist Motion Planning AutonomyOctober 26, 2024