Data Scientist jobs at Stanford University - 65 jobs

**School of Law, Stanford, California, United States** Research Post Date Mar 10, 2025 Requisition # 102373 **NOTE: This position has been deemed critical/has specific funding, has been approved by the Law School for posting, and is exempt from the hiring freeze.** **The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a Data Scientist to work across our research programs. This role will collaborate closely with teams of research fellows and students on projects related to machine learning and the public sector. We are looking for someone who is a self-learner, research-oriented, and excited by the mission of the Lab.** **About us:** **Stanford RegLab** **is a social impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector. We are an** **interdisciplinary team of lawyers, data scientists, social scientists, and engineers who** **are passionate about building high impact demonstration projects for the future of governance. Some of our partners include the EPA, IRS, DOL, and Santa Clara County Public Health.** **As a Data Scientist, you will:** + **Support collecting, managing, and cleaning of data sets from regulatory agencies, understand discrepancies and build out and document a data dictionary to improve knowledge of different systems and how to manage discrepancies.** + **Produce reports and publications on findings to our government partners and for academic publications, based on extensive data analysis.** + **Work with PI and Research Director to ensure data management/collection is clear, secure, and robust; improve processes for collecting and managing data.** + **Support training of research fellows on best practices and technical skills** **Core Duties:** + **Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information.** + **Design methods to validate data to ensure high quality product. Explore creative approach to using data based on technical expertise of available data. Distribute reports to applicable agencies, researchers, management and other internal end-users and provide interpretation of data when needed.** + **Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity.** + **Research and reconcile data discrepancies occurring among various information systems and reports.** + **Collaborate with data managers to define and implement data standards and common data elements for data collection.** + **Identify new sources of data and methods to improve data collection, analysis and reporting.** + **May test prototype software and participate in approval and release process for new software.** + **Other duties as assigned** **.** **Minimum Requirements:** **This is a one-year fixed term position, with the option of renewal.** **Education & Experience:** **Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, mathematics or engineering.** **Knowledge, Skills and Abilities:** + **Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.** + **Basic knowledge of software engineering principles and strong knowledge of at least one programming language, such as Python, R, and/or SQL); basic statistical ability.** + **Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases.** + **Strong listening, verbal and written communication skills.** + **Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail.** + **Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question.** + **Ability to work with data of varying levels of quality and validity.** + **Demonstrated ability to produce data in a clear and understandable manner meeting user requirements.** + **Ability to work effectively with multiple internal and external stakeholders.** **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 the job.** **Application Instructions:** **We invite you to apply by clicking on the "Apply for Job" button. To be considered, please submit the following items along with your online application:** + CV + Cover Letter + Project and code samples or Github + Transcript (if graduated within 3 years) **_The expected pay range for this position is $82,468 to $106,256 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._** **_Note: 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._** **Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University.** **_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: 4744** + **Employee Status: Fixed-Term** + **Grade: G** + **Requisition ID: 102373** + **Work Arrangement : Hybrid Eligible, On Site**

Career Opportunities with Presidio Trust A great place to work. Current job opportunities are posted here as they become available. The Presidio Trust is seeking a Principal Data Architect to join the IT Department. The Presidio Trust is an innovative federal agency that stewards and shares the history, beauty, and wonder of the Presidio for everyone to enjoy forever. The ancestral homeland of the Ramaytush Ohlone, the Presidio was once a military post under three flags. Today, it is a surprising national park site spanning 1,500 acres at the Golden Gate. It\'s rare natural habits, inspiring views, and world-class trails are a local and global attraction. It is among the most biologically diverse parks in America and a popular destination with beaches, museums, restaurants, hotels, homes, and offices. Reporting to the Director of Information Technology, the Principal Data Architect provides strategic leadership in the direction, design, and governance of the Agency's enterprise data architecture. Overseeing data management across 160+ business applications, this role ensures scalable integration, lifecycle oversight, and compliance with standards such as SOC 2, FedRAMP, FISMA/NIST. Key responsibilities include developing and executing enterprise data strategies, implementing data governance frameworks, optimizing SharePoint, Azure and Microsoft 365 data infrastructure, and leading a small team of business applications analysts. This position requires expertise in data architecture, governance, and cross-functional collaboration to drive measurable business value through effective data management. The ideal candidate brings deep experience in data governance, application data management, and modern data infrastructure design/optimization within a Microsoft SharePoint/O365 environment. This is a full-time position with benefits, and a starting pay range of $167,110 to $182,855 if based in the San Francisco Bay Area. The starting base salary is dependent on the experience and qualifications of the candidate. Applications received by October 3, 2025 will receive first consideration. Responsibilities Lead the development and execution of the comprehensive enterprise-wide data architecture strategy, ensuring alignment with business objectives, technology roadmaps, and regulatory requirements. Design, implement and maintain and oversee data governance frameworks - including policies, standards, and procedures - to ensure consistent data quality, security, privacy, compliance, and lifecycle management across the organization. Maintain a complete and current inventory of enterprise data management across 160+ business applications (inventory, ownership/stewardship, data flows, integration points, lifecycle status, and supporting documentation. Collaborate with cross-functional stakeholders to document business requirements and define scalable, secure data solutions and reference architectures. Provide technical oversight and review on data management practices, including integration (APIs/ETL/ELT), migration strategies, data warehousing/lakehouse architecture, analytics, and reporting systems to ensure alignment with best practices. Lead and mentor a small team of business applications analysts by setting and managing priorities, maintaining a structured backlog, establishing SLAs/runbooks/standards, and delivering continuous improvement in support services. Implement and maintain standards for data modeling, taxonomy, metadata management, lineage tracking, and master data management (MDM), including documentation and operational stewardship models. Design and optimize data infrastructure (e.g., Azure-based warehouse/lake, storage, pipelines, orchestration) that meet performance, scalability, and cost efficiency goals, along with documented architecture and operational runbooks. Manage, govern and enhance enterprise data collaboration environments on Microsoft SharePoint/O365 (SharePoint Online, OneDrive, Teams, Power Platform), including permissions, retention, DLP, and information architecture. Evaluate and report on emerging data technologies and methodologies, providing recommendations for innovation, adoption, or optimization. Ensure compliance with risk mitigation by partnering with Cybersecurity and Compliance teams to implement best practices and monitor controls for data security, privacy, and disaster recovery; enforce SOC 2, FedRAMP/FISMA/NIST, and internal data security policies. Prepare and present regular reports, dashboards, and executive briefings on data strategy execution, program performance, risks, and outcomes using defined KPIs and delivery maps. Other duties as assigned. Supervisory Responsibilities Directly supervises a team of up to 3 professionals. Carries out supervisory responsibilities in accordance with the Agency's policies, directives and applicable laws. Responsibilities include interviewing, hiring, and training and mentoring employees; planning, assigning, and directing work; appraising performance; fostering continuous improvement and staff development; authorizing time off; coaching and disciplining employees; and addressing complaints and resolving problems. Required Qualifications Bachelor's degree in information systems, Computer Science, Data/Information Management, or related field. A minimum of 12 years of progressive experience in data architecture, data governance, and application data management within complex environments. Demonstrated success in leading enterprise data strategy initiatives, with a long-term vision and ability to align architecture with organizational objectives. Proven leadership with data governance programs, including data quality, stewardship, metadata/lineage management and Mater Data Management (MDM) platforms. Hands-on experience designing and managing data platforms, including data warehousing and lakehouse architectures (e.g., Azure Synapse/Fabric, Snowflake), as well as ETL/ELT pipelines and orchestration tools (e.g., Azure Data Factory, dbt). Expertise in SQL development, performance tuning, cost optimization, and platform management-including backup/DR, environment setup, and operational monitoring. Strong understanding of integration and API patterns, including REST/Graph APIs, webhooks, message queues, and event-driven architectures. Proven ability to lead and mentor high-performing technical or analyst teams; strong stakeholder and vendor management. Hands-on experience managing data across large application portfolios (100+ apps), including integration, lifecycle management and application rationalization. Familiarity with Microsoft 365/SharePoint Online information architecture, permissions/records, and Power Platform (Power BI/Automate/Apps). Solid knowledge of data compliance, privacy and security frameworks and standards (e.g., SOC 2, ISO27001, NIST). Strong program and project management skills, with the ability to prioritize competing initiatives and deliver structured, measurable outcomes. Exceptional analytical and problem-solving abilities, with a track record of translating complex data challenges into scalable, practical solutions. Excellent communication, facilitation, and executive presentation skills, with demonstrated ability to influence, collaborate across technical and non-technical stakeholders. Desired Qualifications Enterprise data architecture & modeling tools (ER/Studio, ERwin, PowerDesigner) and semantic modeling for BI. Experience with federal data compliance, privacy and security frameworks and standards (e.g., FedRAMP, FISMA) a plus. A passion for the mission and values of the Presidio Trust. Background Check This position is subject to an employment background check which shall consist of a review of applicable county, state and Federal criminal and civil records, state bankruptcy indexes, driver's license, education, and employment history. An individual's granting of a background check and resulting report is voluntary. However, employment is contingent upon the successful completion of an employment background check. The Presidio Trust may refuse to hire an individual, may rescind an offer of employment to an individual, or may review and terminate the employment of a current employee not successfully completing the background check. Financial Disclosure This position will require the completion of the U.S. Office of Government Ethics (OGE) Form 278, Public Financial Disclosure Report , both as a New Entrant into the position and annually thereafter. The purpose of the financial disclosure system is to assist employees and their agencies in avoiding conflicts between official duties and private financial interests or affiliations. #J-18808-Ljbffr

Required Skills: Bachelor's and Master's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). Five years of experience analyzing datasets and developing analytics, five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience. • Python and object oriented programming• Analytic development within Linux environment• Experience with DataFrames (Pandas or Spark)• Understanding of data science concepts Desired Skills::• PySpark and/or distributed computing• Experience working in cloud environments (Azure, AWS) ** This position will have up to 60% telework.

Job DescriptionRequired Skills: Bachelor's and Master's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). Five years of experience analyzing datasets and developing analytics, five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience. • Python and object oriented programming• Analytic development within Linux environment• Experience with DataFrames (Pandas or Spark)• Understanding of data science concepts Desired Skills::• PySpark and/or distributed computing• Experience working in cloud environments (Azure, AWS) ** This position will have up to 60% telework. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants. POSITION SPECIFICS We are seeking highly motivated Data Science/Machine Learning Research and Development Engineers to join our Computational Intelligence and Visualization Application Department of the Applied Research Laboratory (ARL) at Penn State. You will assist in providing customers with state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor's complex problems given large sets of multivariate data. Located in either State College, PA or Reston, VA ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Design and implement machine learning systems, models, and schemes Research and apply state-of-the-art machine learning prototypes to sponsor specific domains Search and select appropriate data sets before performing data collection and data modeling Visualize data for deeper insights Generate and present technical research reports and briefings Perform statistical analysis in support of pattern of life and anomaly detection Perform data fusion and correlation Build high quality software prototypes integrated with our various research and pre-production software environments Collaborate with other ARL staff and sponsors Additional responsibilities of higher levels includes:· Supervise the work of lower level staff and undergraduate student Perform tasks of a larger scope and lead specific tasks within the project scope Required skills/knowledge includes: Data science/algorithm development Data science / Machine Learning languages to include Python Research, development and implementation of machine learning models Preferred skills/knowledge includes: Active TS/SCI Clearance strongly preferred A Master's degree Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based Working with geo-spatial data Statistics, multivariable calculus, and linear algebra Exploratory data analysis and visualization Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL, FastAPI Software Development tools to include Git, Docker, Kubernetes, SSH Active TS/SCI Clearance Your work location will be on-site State College, PA or Reston, VA in a classified environment MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS If filled as Research and Development Engineer - Intermediate Professional, this position requires: Bachelor's Degree - Engineering or Science 2+ years of relevant experience Required Certifications: None If filled as Research and Development Engineer - Professional, this position requires: Bachelor's Degree - Engineering or Science No prior relevant work experience required Required Certifications: None ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC). FOR FURTHER INFORMATION on ARL, visit our web site at **************** BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies.All positions at ARL require candidates to possess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen. SALARY & BENEFITS The salary range for this position, including all possible grades, is $76,700.00 - $129,500.00.**THE PROPOSED SALARY RANGE MAY BE IMPACTED BY GEOGRAPHIC DIFFERENTIAL** Salary Structure - Information on Penn State's salary structure Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page. CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. EEO IS THE LAW Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact ************. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn State Policies Copyright Information Hotlines

NORC at the University of Chicago seeks a talented Senior Data Scientist I to join our Health Care Evaluation Research Department. The Senior Data Scientist I will play a strategic role in working with our research teams to produce valuable insights for our clients. This position supports the development of the strategy and vision for large data analysis projects; may manage both the activities and the work product of data analysts and/or data scientists; provide input and guidance to task leaders especially regarding data acquisition, questionnaire content, data analysis, and overall data dissemination; design, develop, and deploy algorithms, models, and work flows to discover valuable information in large volumes of data from various sources; bring structure to large data sets; evaluate the data, construct models, create business applications, and work closely with organizational leaders to provide input into strategic business implications for the organization. The Senior Data Scientist I work collaboratively with the project team. NORC recognizes that talented and skilled researchers live throughout the U.S. and actively supports remote work arrangements. As a condition of employment, all NORC employees and contractors - including those working remotely - must be fully vaccinated (as defined by current CDC guidance) against COVID-19. DEPARTMENT: Health Care Evaluation NORC's expertise and ongoing work in health care delivery and financing - including access to insurance, payment and delivery-system reform, benefit design, and quality measurement - advance stakeholders' understanding of policies and programs, facilitate implementation, and contribute to important improvements in cost and quality. NORC's expert staff has extensive knowledge of all aspects of health care delivery, from private marketplaces and employer-sponsored insurance to Medicare and Medicaid; from large health care systems to small clinics; and from the needs of children to those of older adults, people with disabilities, and ethnic and racial minorities. Our expert team includes social scientists that acquire, collect, and analyze data from health care organizations and patients; evaluators; health services researchers; health-policy analysts; and professionals with first-hand experience running and supporting health care programs. RESPONSIBILITIES: Work with terabytes of health and administrative data, and create analytic data products therefrom to support various healthcare research and technical assistance projects. Implement specifications for rigorous study designs, and measures of performance such as cost and quality, to evaluate the impact of health care programs and policies. Identify data from multiple sources, perform analysis and recommend applications to add value to project and corporate initiatives; Develops the platforms and tools to enhance the organization's analytic capabilities. Work closely with project leaders on implications of the data for processes and decisions. Recommend methodology for data management, merging, cleaning, transforming and harmonizing data. Using a degree of creativity and latitude, develop hypotheses, design experiments and test feasibility of proposed initiatives. Engage in business development activities including authoring various sections of technical proposals. Manage contracts and work closely with clients to ensure that contractual requirements (deliverables and timelines) and client expectations are met using the highest standards of quality and collegiality. Train and supervise staff on specific protocols and tasks. REQUIRED SKILLS: Bachelor's degree in Math, Statistics, Computer Science, Data Science, or Social Science related field. Masters Degree or higher strongly preferred. At least 6 years experience (at least 9 years experience if Bachelor's degree) in positions of increasing responsibility, working with large datasets and conducting statistical and quantitative modeling, melding analytics with strong programming, data mining, clustering and segmentation. Experience working with health care datasets and working directly with federal or states health data. Working knowledge of different types of data and of the methodologies and technologies for integrating data. Strong data programming skills in statistical packages and database tools such as SAS, SQL, Python, R, Tableau, Hadoop, Hive, MapReduce and/or other large data systems. Strong technical writing skills, strong verbal skills; and data visualization/presentation. Ability to explain technology, techniques and approaches to others. Excellent oral and written communication skills and aptitude in leading and working with project teams, coordinating multiple projects. Strong problem solving skills, ability to organize and prioritize work assignments to meet project needs. Occasional travel to client sites and business meetings may be required. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an affirmative action, equal opportunity employer that values and actively seeks diversity in the workforce. NORC evaluates qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, and other legally- protected characteristics.

General Information Press space or enter keys to toggle section visibility Onsite or Remote Flexible Hybrid Work Schedule Monday-Friday 8am-5pm Posted Date 10/18/2024 Salary Range: $105700 - 234500 Annually Employment Type 2 - Staff: Career Duration Indefinite Job # 19946 Primary Duties and Responsibilities Press space or enter keys to toggle section visibility The Data Scientist plays a pivotal role in transforming raw data into actionable insights that drive the efficient operation of ambulatory clinics. This position involves advanced data modeling, statistical analysis, and the application of machine learning techniques to identify trends, optimize performance, and support data-driven decision-making. The Data Scientist will design and maintain robust data models, develop predictive models, and collaborate with stakeholders to interpret complex data sets. The role requires expertise in data analysis, a strong understanding of healthcare data, and a commitment to enhancing the financial viability and operational efficiency of ambulatory clinics. * Develop, refine, and maintain complex data models that support ambulatory operations, ensuring data accuracy and consistency. * Apply statistical analysis and machine learning techniques to analyze large datasets, identify trends, and generate predictive insights. * Design and implement predictive models to forecast key performance indicators, patient outcomes, and ambulatory operational efficiencies. * Create and validate algorithms for data mining, cleansing, and transformation to enhance data usability * Lead or participate in projects focused on enhancing data infrastructure, analytical capabilities, and reporting frameworks. * Explore and implement innovative data science techniques and tools to address complex challenges in ambulatory operations. * Stay current with advancements in data science and healthcare analytics, applying new methods and technologies to improve performance and outcomes. * Work closely with cross-functional teams, including IT, clinical, and business stakeholders, to understand data needs and deliver actionable insights. * Present findings and recommendations to leadership and other stakeholders in a clear, concise, and actionable manner. * Provide guidance and mentorship to analysts within the team * Lead efforts in data integration, ensuring seamless interoperability between multiple data sources and systems * Enforce data governance standards, including data quality, metadata management, and data security protocols. * Develop and manage ETL (Extract, Transform, Load) processes to curate data from various sources into structured formats suitable for analysis. * Document and maintain data lineage, ownership, and access requirements, ensuring compliance with healthcare regulations salary range: $102500-$227700 * Job Qualifications Press space or enter keys to toggle section visibility Required Skills and Experience: * Bachelor's degree in a related field or equivalent experience/training. * Minimum of 3+ years of experience in a healthcare-related organization, with a strong understanding of healthcare data and operations * Minimum of 5 years of experience with Python or R for data analysis, modeling, and machine learning applications. * Proven expertise in data modeling, information design, and data integration. * Advanced knowledge of data management systems, practices, and standards. * Experience with complex data quality, governance issues, and data conversion. * Strong analytical and problem-solving skills with attention to detail. * Ability to abstract and represent information flows in systems through effective modeling. * Excellent communication and interpersonal skills, with a demonstrated ability to work collaboratively across diverse teams. Preferred Skills: * Experience with Databricks, including managing and processing large datasets in a distributed environment. * Experience with Azure DevOps, including managing workflows, version control, and collaborative project management.

Responsibilities Under the general direction of the Director, Educator Quality Center, the Educator Preparation Data Scientist will perform duties as outlined below: Data Systems Project Management * Design, develop, and manage systems and processes for collecting, extracting, loading, and integrating high-priority credential program and student data into the EdQ operational data store. * Lead the development of dashboards and reporting tools that support CSU educator preparation programs. * Collaborate with a wide range of stakeholders-including campus and Chancellor's Office staff, internal IT and IR&A teams, and external partners such as state and national education agencies, funding organizations, consultants, and vendors-to ensure data systems meet strategic and operational needs. Strategic Data Analysis * Conduct strategic data analyses to generate valid and reliable evidence that supports continuous improvement in CSU educator preparation programs and addresses California's educator workforce needs. * Translate analytical findings into actionable insights and communicate them clearly through data visualizations, storytelling, and presentations tailored to non-technical audiences. * Evaluate the impact of key initiatives using quantitative evidence and support data-informed decision-making across the CSU system. Support Effective Use of Data * Develop and refine systems and processes that improve the quality, consistency, and usability of existing educator preparation metrics administered by EdQ. * Define and monitor key performance indicators (KPIs) in collaboration with educator preparation faculty and practitioners to reflect their goals and values. * Promote the standardization and adoption of shared data tools, software platforms, and protocols across CSU educator preparation programs. Qualifications This position requires: * Demonstrated interest in improving educational outcomes, particularly in educator preparation. * Master's degree or higher in a technical, computational, or quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Educational Measurement, or related discipline). * A minimum of four years of professional experience, including at least one year of hands-on experience in data science, analytics, or applied research. * Proven ability to deliver data products, tools, or original research-preferably in an educational or public-sector context, using large or complex datasets. * Strong quantitative skills, including experience with statistical methods used in education research. * Proficiency with one or more statistical software tools or programming languages (e.g., R, Python, Stata). * Working knowledge of SQL, relational databases, and data visualization tools (e.g., Tableau, Power BI). * Experience with data mining, exploration, and visualization techniques. * Familiarity with data systems design, development, and management. * Strong project management skills and ability to work collaboratively with cross-functional teams. * Experience administering surveys using platforms such as Qualtrics, SurveyMonkey, or QuestionPro. * Experience working with sensitive or confidential data in a secure computing environment. Preferred Qualifications * Experience with ETL (Extract, Transform, Load) processes and data warehousing solutions. * Proficiency with version control systems such as Git. * Familiarity with data governance practices, especially in educational or public-sector environments. * Experience using AI or machine learning tools (e.g., OpenAI) to enhance data analysis, automation, or reporting workflows. * Knowledge of educator preparation policy, accreditation processes, or workforce analytics. Application Period Priority consideration will be given to candidates who apply by December 2, 2025. Applications will be accepted until the job posting is removed. How To Apply Please click "Apply Now" to complete the California State University, Chancellor's Office online employment application. Equal Employment Opportunity Consistent with California law and federal civil rights laws, the CSU provides equal opportunity in education and employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity, or national origin. Reasonable accommodations will be provided for qualified applicants with disabilities who self-disclose by contacting the Senior Human Resources Manager at **************. Title IX Please view the Notice of Non-Discrimination on the Basis of Gender or Sex and Contact Information for Title IX Coordinator at: ********************************* E-Verify This position requires new hire employment verification to be processed through the E-Verify program administered by the Department of Homeland Security, U.S. Citizenship and Immigration Services (DHSUSCIS)' in partnership with the Social Security Administration (SSA). If hired, you will be required to furnish proof that you are legally authorized to work in the United States. The CSU Chancellor's Office is not a sponsoring agency for staff and Management positions (i.e., H1-B VISAS). COVID19 Vaccination Policy Per the CSU COVID-19 Vaccination Policy, it is strongly recommended that all Chancellor's Office employees who are accessing office and campus facilities follow COVID-19 vaccine recommendations adopted by the U.S. Centers for Disease Control and Prevention (CDC) and the California Department of Public Health (CDPH) applicable to their age, medical condition, and other relevant indications. Mandated Reporter Per CANRA The person holding this position is considered a 'mandated reporter' under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment. CSU Out of State Employment Policy California State University, Office of the Chancellor, as part of the CSU system, is a State of California Employer. As such, the University requires all employees upon date of hire to reside in the State of California. As of January 1, 2022, the CSU Out-of-State Employment Policy prohibits the hiring of employees to perform CSU-related work outside the state of California. Background The Chancellor's Office policy requires that the selected candidate successfully complete a full background check (including a criminal records check) prior to assuming this position. Advertised: Nov 18 2025 Pacific Standard Time Applications close:

Data Migration Consultant The Data Migration Conversion Consultant is a work from home anywhere position. Responsibilities include working with clients, team members & consultants to define, document, design, develop, test and execute legacy ERP data migrations, restructurings and merges. In addition, you will apply Full Sail Partners' Consulting project and consulting methodology. Within areas of assigned responsibility, our consultants apply analytical and technical thinking to resolve routine client issues and challenges, identify alternatives, provide recommendations, research data migration and integration issues, and provide detailed support and recommendations. Specific tasks may include source system data extraction, entity transformation, attribute translation, data validation and reconciliation, data loading, conversion testing. Conversion and load tools may include target system load utilities, consulting team tools & scripts, RDBMS system utilities, & 3rd party ETL tools. Functional experience with ERP edge concepts is required, full ERP/Accounting exposure preferred, project accounting familiarity is a bonus. Technical skill requirements include RDBMSs SQL, T-SQL, ETL processes, and familiarity with XML. Additionally, core understanding of functionality and ETL processes SQL Server, MS Access, MS Excel, SSMS or similar tools. Role and Responsibilities Utilize analytical and data services knowledge to assist companies with implementing accounting and business management technologies as well as improving their business processes Develop data migration solutions for professional services firms such as architecture, engineering, management consulting and IT Lead client facing data migration meetings Work closely with our team of application consultants and clients to create custom solutions for our clients Proactively communicate with clients and the application implementation team to achieve exceptional client satisfaction Document implementation and system related issues and participate in the collaborative resolution of these issues Understand and follow the project plan for client implementations (timeline, budget, schedule, statement of work, training plan, etc.) Qualifications Experience with relational databases (tables, view, queries, T-SQL and stored procedures) Experience with ERP systems Experience with Data Migration, merges of information as it relates to information systems Excellent communications skills, both written and verbal with the ability to interact at all levels of the organization Education, Experience and Skills Junior Level with 1-3 years of experience in SQL data management Bachelor's degree or higher in Computer Science or related discipline MS SQL T-SQL Development Preferred skills Experience in a consulting/customer advisory-type position Knowledge of Deltek Vision or Vantagepoint databases Knowledge of accounting processing a plus Familiar with QuickBooks, Ajera, Unanet (Infocus/Clearview) databases a plus SQL Server RDBMS development ETL tool development ERP application implementation and go-live experience Project planning and management capabilities

The Department of Public Health Sciences (PHS) (****************************** , School of Medicine, at the University of Virginia (UVA) and UVA Comprehensive Cancer Center (UVACC) invites talented researchers to join an exemplary team of investigators to advance precision health strategies directed to cancer prevention and control and reducing cancer disparities. Applicants are sought at the rank of **Assistant, Associate or Full Professor** with a terminal degree (e.g., PhD, MD, ScD) to apply for tenure-track/eligible faculty positions supported under a newly announced Precision Health initiative. **The University of Virginia's 2030 plan recognizes Precision Health as a major societal challenge and an opportunity for multidisciplinary work that draws on our existing strengths** . In partnership the Provost and the deans of various schools are making multiple coordinated faculty recruitments to strengthen the research community focusing on Precision Health for Populations across the University. Recruits will receive support from the Provost and from their school and will participate in the Precision Health for Populations Initiative. This is part of a major Grand Challenges research investment of over $50M in Precision Medicine/Precision Health. Cancer Data Scientist (Open rank). We are seeking exceptional candidates trained in **cancer epidemiology and/or data sciences** to envision, plan and conduct innovative research to advance the science of personalized cancer prevention and risk prediction to discover and advance optimal strategies or approaches to prevent cancer incidence and/or recurrence. The driving goals of this **UVA sponsored Precision Health Initiative** are to broaden our ability to effectively prevent, diagnose, and /or delay cancer processes in diverse populations. As such, we envision this scope of work to involve individual, social, clinical and community-level factors. Faculty hired under this initiative will have a primary appointment in PHS and membership in the UVACC's Cancer Prevention and Population Health research program. The successful faculty candidate will be supported to develop world-leading independent scientific programs to advance our understanding of cancer prevention and conduct next generation translational research driven by data science, artificial intelligence, machine learning, computer science, and other emerging areas in cancer research. Applicants must have evidence of peer-reviewed funded research in areas such as cancer etiology, outcomes, biomarkers, screening, early detection, or therapeutics. UVACC priority cancers include lung, breast, GI, prostate, cervical or melanoma based on disparity and population burden within our catchment area. Qualified candidates must have Ph.D. or terminal degree with at least three years of experience. This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. To Apply: Complete an application online (*********************************** with the following documents: + CV + Cover Letter - please include how you learned about this position + Contact information for at least 3 references _Applications that do not contain all required documents will not receive full consideration._ For questions about the application process, please contact **Roger Anderson** at ******************* . The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here (************************************************************************** to read more about UVA's commitment to non-discrimination and equal opportunity employment. **The University of Virginia offers confidential Dual Career Services to partners of incoming faculty candidates. To learn more, please visit** **dualcareer.virginia.edu**

SCHOOL/UNIT DESCRIPTION: Anchored in the Wu Tsai Neurosciences Institute and the Office of the Dean of Research, the Knight Initiative in Brain Resilience is a cross-disciplinary scientific endeavor aimed at addressing neurodegeneration, aging and brain resilience. Diseases and associated issues of cognitive decline like Alzheimer's, Parkinson's, dementia, and related ailments are increasing with our rapidly aging global population. Stanford seeks to advance a new era of brain science focused on accelerating the fundamental understanding of the aging brain, both the biological causes of neurodegeneration and how to increase brain resilience throughout the lifespan. Our community ranges broadly, consisting of esteemed alumni, world class faculty and students, dynamic staff and administrators and include some of the world's most successful leaders in neuroscience. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish its mission conducting cutting-edge research with the objective of formulating innovative solutions to brain-aging, disease, neurodegeneration, dementia and resilience. POSITION SUMMARY: We are seeking a highly skilled and experienced Data Scientist to join our team. The successful candidate will be responsible for managing and analyzing large sets of multi-omics data with a focus on human brain aging. They will work closely with the research team to identify patterns and correlations in the data related to brain aging, develop and implement data analysis pipelines and workflows, generate visualizations and reports, and contribute to the development of predictive models and algorithms. The Data Scientist will be responsible for developing and adapting data collection and analysis methods, identifying and resolving data quality issues, and collaborating with various stakeholders. They will need to have a PhD or Master's degree in a relevant field, strong programming skills, experience with data management systems and visualization tools, and excellent communication and presentation skills. This position is a two-year fixed-term appointment, with possibility of renewal based on programmatic need and funding availability, with a primary work site on Stanford University's main campus. CORE DUTIES: * Collect, manage and clean datasets. * Manage and analyze large sets of data from various sources, including genomics, transcriptomics, proteomics, and metabolomics. * Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. * Utilize and fine-tune genomic foundation models on aging data. * Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. * Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. * Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. * Analyze data processes in documentation. * Collaborate with faculty and research staff on data collection and analysis methods. * Provide documentation based on audit and reporting criteria to investigators and research staff. * Communicate with government officials, grant agencies and industry representatives. * 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. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities: * Substantial experience with MS Office and analytical programs. * Strong writing and analytical skills. * Excellent communication and presentation skills. * Ability to prioritize workload. PREFERRED QUALIFICATIONS: * PhD or Master's degree in a relevant field such as data science, bioinformatics, computational biology, or statistics * Strong programming skills, including experience with R or Python * Experience with multi-omics data analysis and/or experience with brain aging research * Strong understanding of statistical methods and machine learning techniques * Experience with building genomics foundation models, using HPC and cloud computing platforms such as AWS or Azure is a plus PHYSICAL REQUIREMENTS*: * Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. * Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. * Rarely kneel/crawl, climb (ladders, scaffolds, or other). * 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. WORKING CONDITIONS: * May work extended or non-standard hours based on project or business needs. Occasional local travel may be required. * Some work may be performed in a laboratory setting. * May be exposed to Allergens/Biohazards/Chemicals, confined spaces, unusual work hours or routine overtime and/or inclement weather. 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 $80,148 to $99,773 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 a wide range of factors that are unique to each candidate including but not limited to geographic location, knowledge, skills and abilities, relevant education, depth and breadth of experience, performance; as well as other business and organization needs such as (but not limited to) the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the unit, department and reporting relationships. 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 you: Imagine 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! 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: 4751 * Employee Status: Fixed-Term * Grade: G * Requisition ID: 107927 * Work Arrangement : On Site

**Dean of Research, Stanford, California, United States** Information Analytics Post Date Dec 15, 2025 Requisition # 107927 **SCHOOL/UNIT DESCRIPTION** **:** Anchored in the Wu Tsai Neurosciences Institute and the Office of the Dean of Research, the Knight Initiative in Brain Resilience is a cross-disciplinary scientific endeavor aimed at addressing neurodegeneration, aging and brain resilience. Diseases and associated issues of cognitive decline like Alzheimer's, Parkinson's, dementia, and related ailments are increasing with our rapidly aging global population. Stanford seeks to advance a new era of brain science focused on accelerating the fundamental understanding of the aging brain, both the biological causes of neurodegeneration and how to increase brain resilience throughout the lifespan. Our community ranges broadly, consisting of esteemed alumni, world class faculty and students, dynamic staff and administrators and include some of the world's most successful leaders in neuroscience. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish its mission conducting cutting-edge research with the objective of formulating innovative solutions to brain-aging, disease, neurodegeneration, dementia and resilience. **POSITION SUMMARY** **:** We are seeking a highly skilled and experienced Data Scientist to join our team. The successful candidate will be responsible for managing and analyzing large sets of multi-omics data with a focus on human brain aging. They will work closely with the research team to identify patterns and correlations in the data related to brain aging, develop and implement data analysis pipelines and workflows, generate visualizations and reports, and contribute to the development of predictive models and algorithms. The Data Scientist will be responsible for developing and adapting data collection and analysis methods, identifying and resolving data quality issues, and collaborating with various stakeholders. They will need to have a PhD or Master's degree in a relevant field, strong programming skills, experience with data management systems and visualization tools, and excellent communication and presentation skills. This position is a two-year fixed-term appointment, with possibility of renewal based on programmatic need and funding availability, with a primary work site on Stanford University's main campus. **CORE DUTIES** **:** + Collect, manage and clean datasets. + Manage and analyze large sets of data from various sources, including genomics, transcriptomics, proteomics, and metabolomics. + Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. + Utilize and fine-tune genomic foundation models on aging data. + Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. + Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. + Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. + Analyze data processes in documentation. + Collaborate with faculty and research staff on data collection and analysis methods. + Provide documentation based on audit and reporting criteria to investigators and research staff. + Communicate with government officials, grant agencies and industry representatives. * _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._ **MINIMUM REQUIREMENTS** **:** **Education & Experience** : Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. **Knowledge, Skills and Abilities** : + Substantial experience with MS Office and analytical programs. + Strong writing and analytical skills. + Excellent communication and presentation skills. + Ability to prioritize workload. **PREFERRED QUALIFICATIONS** **:** + PhD or Master's degree in a relevant field such as data science, bioinformatics, computational biology, or statistics + Strong programming skills, including experience with R or Python + Experience with multi-omics data analysis and/or experience with brain aging research + Strong understanding of statistical methods and machine learning techniques + Experience with building genomics foundation models, using HPC and cloud computing platforms such as AWS or Azure is a plus **PHYSICAL REQUIREMENTS** ***:** + Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. + Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. + Rarely kneel/crawl, climb (ladders, scaffolds, or other). * _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_ _._ **WORKING CONDITIONS** **:** + May work extended or non-standard hours based on project or business needs. Occasional local travel may be required. + Some work may be performed in a laboratory setting. + May be exposed to Allergens/Biohazards/Chemicals, confined spaces, unusual work hours or routine overtime and/or inclement weather. **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 $80,148 to $99,773 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 a wide range of factors that are unique to each candidate including but not limited to geographic location, knowledge, skills and abilities, relevant education, depth and breadth of experience, performance; as well as other business and organization needs such as (but not limited to) the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the unit, department and reporting relationships.** **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 you** **:** Imagine 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. Ourcultureandunique perksempower 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! _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: 4751** + **Employee Status: Fixed-Term** + **Grade: G** + **Requisition ID: 107927** + **Work Arrangement : On Site**

Choose To Make A Difference Reporting to the Director, Analytics Intelligence, the Senior Data Scientist provides analytical guidance and support to organizational decision makers via analysis, interpretation, and modeling of data. Leverages critical thinking and problem-solving skills to extract valuable business insights. Supports the entire analytics lifecycle including requirements gathering, problem formulation, solution design, analytical modeling, and presenting findings. Develops algorithms to extract and leverage insights from data to optimize organizational opportunities. Supports the deployment and implementation of analytical solutions with constant performance monitoring. Possesses a passion for applying data and analytics while consistently developing personal and organizational capabilities. Aids the organization to consistently be more data-driven and seek actionable insights. Tells a story with data by finding relationships, drawing conclusions, and making recommendations. Develops predictive models and prescriptive solutions to help maximize student success for all students. Possesses an initiate ability to apply a champion-challenger approach throughout the analytics lifecycle. Mines complex data to create statistical models, reports/visualizations, machine learning models, and identify champion predictive models for deployment. May provide guidance to Data Scientist(s). Essential Functions and Responsibilities Design and write programs and algorithms to train, test and develop complex analysis, predictive models, and detailed insights using Python, R, SPSS Modeler, SAS, and other appropriate best practice tools. Perform ad hoc requests to provide supervised and unsupervised analysis on student academic and success data, recruitment and enrollment data, state board pre-licensure exams, financial and operational data, and other efforts as assigned. Analyzes enterprise-wide data to understand behaviors and trends. Applies iterative process of analyze, test, learn, pivot or scale approach to analytical solutions. Develops and maintains predictive models to support prescriptive solutions including machine-learning algorithms. Applies both supervised and unsupervised methods to discover hidden insights within data. Interprets data using statistical techniques to analyze results and present output. Presents information using data visualization techniques and software. Distills complex data sets into a narrative that optimizes organizational outcomes while applying the art of storytelling. Proposes solutions and strategies to solve business opportunities. Monitors deployed solutions to ensure degradation and issues are proactively identified. Query, extract and mine necessary large data from Oracle CVUE database, CRM, IR&A Data Warehouse, College Board, IPEDS, National Student Clearing House, Common Dataset, and other utilities and sources. Be a champion of rigorous data integrity and collection across the institution. General Scope of Responsibilities: Collaborates with key stakeholders. Adheres to University policies and procedures and conducts job responsibilities in accordance with the standards set out in the University's Code of Ethical Conduct, Compliance Agreement, Sexual Harassment Policy or any of its policies and procedures, applicable federal and state laws, and applicable professional standards. Performs other duties as assigned. Preferred Education, Certifications and Licensures Master's degree or higher in data science, statistics, economics, mathematics, engineering, or a related quantitative field is strongly preferred. Required Education Bachelor's degree in data science, statistics, economics, mathematics, engineering, or a related quantitative field is required. Required Experience and Skills 5+ year's experience in a data science or advanced analytics role. 3+ year's experience developing, deploying, and implementing predictive models. Superior experience and working knowledge of model design, data analysis, exploratory quantitative methods feature/variable creation, model development, analytical solution implementation, and explainable advanced analytics methods. Proven experience investigating difficult problems with a natural curiosity in data discovery to create a high- quality solution. Demonstrated experience with hypothesis testing to ensure limitations and assumptions are either validated or minimized. Working knowledge of relational databases and database query tools (SQL Server or similar). Demonstrated experience with cloud environments including Azure, AWS, Google cloud, advanced analytic methods including machine learning techniques (Gradient Boosting, Random Forest, Neural Networks, Clustering, PCA, NLP, Image analytics, etc. Familiarity with model explanation methods including SHAP, PDP, LIME, Sabaas, etc. Experience creating data visualizations using Power BI, Tableau, or similar applications. Proficiency using R, Python, SAS, or similar languages. Strong Excel skills. #LI-AM1 CA Salary Range USD $138,230.12 - USD $200,406.07 /Yr. Bonus Eligible Yes WCU Company Overview Do you want a career that allows you to make a difference in other people's lives? Discover what it means to truly believe in the work that you do at West Coast University. At West Coast University, we have the privilege of educating students seeking careers in healthcare and guide them through their transformational journey from student to caregiver. Our associates are united behind that purpose and share a deep commitment to our values of teamwork, collegiality, transparency, and a student-centric approach to all we do. This focus creates an aligned, nimble, and consensus-driven culture that is solution-oriented and supports our associates' professional growth. WCU EEO Statement West Coast University is proud to be an equal opportunity employer. We embrace diversity and are dedicated to creating an inclusive environment for all associates.

Reporting to the Director, Analytics Intelligence, the Senior Data Scientist provides analytical guidance and support to organizational decision makers via analysis, interpretation, and modeling of data. Leverages critical thinking and problem-solving skills to extract valuable business insights. Supports the entire analytics lifecycle including requirements gathering, problem formulation, solution design, analytical modeling, and presenting findings. Develops algorithms to extract and leverage insights from data to optimize organizational opportunities. Supports the deployment and implementation of analytical solutions with constant performance monitoring. Possesses a passion for applying data and analytics while consistently developing personal and organizational capabilities. Aids the organization to consistently be more data-driven and seek actionable insights. Tells a story with data by finding relationships, drawing conclusions, and making recommendations. Develops predictive models and prescriptive solutions to help maximize student success for all students. Possesses an initiate ability to apply a champion-challenger approach throughout the analytics lifecycle. Mines complex data to create statistical models, reports/visualizations, machine learning models, and identify champion predictive models for deployment. May provide guidance to Data Scientist(s). Essential Functions and Responsibilities * Design and write programs and algorithms to train, test and develop complex analysis, predictive models, and detailed insights using Python, R, SPSS Modeler, SAS, and other appropriate best practice tools. Perform ad hoc requests to provide supervised and unsupervised analysis on student academic and success data, recruitment and enrollment data, state board pre-licensure exams, financial and operational data, and other efforts as assigned. * Analyzes enterprise-wide data to understand behaviors and trends. Applies iterative process of analyze, test, learn, pivot or scale approach to analytical solutions. Develops and maintains predictive models to support prescriptive solutions including machine-learning algorithms. Applies both supervised and unsupervised methods to discover hidden insights within data. * Interprets data using statistical techniques to analyze results and present output. Presents information using data visualization techniques and software. Distills complex data sets into a narrative that optimizes organizational outcomes while applying the art of storytelling. Proposes solutions and strategies to solve business opportunities. Monitors deployed solutions to ensure degradation and issues are proactively identified. * Query, extract and mine necessary large data from Oracle CVUE database, CRM, IR&A Data Warehouse, College Board, IPEDS, National Student Clearing House, Common Dataset, and other utilities and sources. Be a champion of rigorous data integrity and collection across the institution. * General Scope of Responsibilities: Collaborates with key stakeholders. * Adheres to University policies and procedures and conducts job responsibilities in accordance with the standards set out in the University's Code of Ethical Conduct, Compliance Agreement, Sexual Harassment Policy or any of its policies and procedures, applicable federal and state laws, and applicable professional standards. * Performs other duties as assigned. Preferred Education, Certifications and Licensures * Master's degree or higher in data science, statistics, economics, mathematics, engineering, or a related quantitative field is strongly preferred. Required Education * Bachelor's degree in data science, statistics, economics, mathematics, engineering, or a related quantitative field is required. Required Experience and Skills * 5+ year's experience in a data science or advanced analytics role. * 3+ year's experience developing, deploying, and implementing predictive models. * Superior experience and working knowledge of model design, data analysis, exploratory quantitative methods feature/variable creation, model development, analytical solution implementation, and explainable advanced analytics methods. * Proven experience investigating difficult problems with a natural curiosity in data discovery to create a high- quality solution. * Demonstrated experience with hypothesis testing to ensure limitations and assumptions are either validated or minimized. * Working knowledge of relational databases and database query tools (SQL Server or similar). * Demonstrated experience with cloud environments including Azure, AWS, Google cloud, advanced analytic methods including machine learning techniques (Gradient Boosting, Random Forest, Neural Networks, Clustering, PCA, NLP, Image analytics, etc. * Familiarity with model explanation methods including SHAP, PDP, LIME, Sabaas, etc. * Experience creating data visualizations using Power BI, Tableau, or similar applications. * Proficiency using R, Python, SAS, or similar languages. * Strong Excel skills. #LI-AM1 Do you want a career that allows you to make a difference in other people's lives? Discover what it means to truly believe in the work that you do at West Coast University. At West Coast University, we have the privilege of educating students seeking careers in healthcare and guide them through their transformational journey from student to caregiver. Our associates are united behind that purpose and share a deep commitment to our values of teamwork, collegiality, transparency, and a student-centric approach to all we do. This focus creates an aligned, nimble, and consensus-driven culture that is solution-oriented and supports our associates' professional growth. West Coast University is proud to be an equal opportunity employer. We embrace diversity and are dedicated to creating an inclusive environment for all associates. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, flexible spending accounts, 401(k) match, paid time off, holidays, parental leave, tuition reimbursement, adoption assistance, health savings accounts, employee discounts, commuter benefits, and company paid life, AD&D and LTD insurance.

Are you a detail-oriented consulting professional with a passion for delivering impactful software implementations? Do you excel at leading data migration projects, ensuring accuracy and integrity in every step of the process? Are you eager to collaborate with diverse teams to transform how investment management firms manage their operations? If so, we invite you to be a part of our innovative team. As a Data Migration Consultant at Ridgeline, you will be responsible for end-to-end functional implementations of the Ridgeline enterprise cloud software for investment management customers. At the intersection of investment management and technology, you will directly interact with both internal and customer stakeholders to define and deliver an agreed upon scope of services with an emphasis on data migrations. A consultative approach, innovative mindset, and collaborative spirit will be key as you build a track record of successful go-lives and make a meaningful impact on an industry primed for change. At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions-not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If this excites you, we'd love to meet you. The Impact you have Lead data conversion projects from inception to completion, ensuring data integrity, accuracy, and accessibility. Collaborate with the implementation team and customers to gather requirements, understand their client management, portfolio accounting and performance data needs. Perform data mapping, transformation, and cleansing activities to meet project specifications. Validate, troubleshoot, and resolve any variances between source data and Ridgeline system generated data during the data conversion process, providing technical support and guidance to customers. Coordinate closely with project managers and functional consultants to ensure dependencies are identified and accurately accounted for as part of the broader onboarding process. Partner with Data Science team to improve inefficient processes, enhance system automation, and improve accuracy. Understand and apply Ridgeline's value proposition and leverages our established implementation methodology to provide holistic solutions. Deliver accurate and timely responses to customers and the implementation team (verbal and written) related to data migration tasks. Contribute to department broader Customer Success initiatives to improve the onboarding experience. What we look for Bachelor's or Master's degree in Finance, Accounting, or Economics. 5+ years of experience within the investment management industry. Strong knowledge of financial instrument types, asset management industry, and data related workflows (reconciliation, data flows, and end user reporting). In-depth knowledge of portfolio accounting systems and performance measurement methodologies, including financial transaction types and asset classes (equities, fixed income, and FX). Strong communication and client-facing skills, with the ability to translate technical concepts to non-technical stakeholders. Strong experience in SQL, data integration ETL tools and MS Excel. Proven track record of managing complex data projects from planning through execution. Excellent problem-solving abilities and attention to detail. Ability to work independently and in team settings, managing multiple priorities under tight deadlines. Bonus Project management skills and/or experience leading successful implementations of enterprise SaaS solutions. Understanding of Agile principles and software development lifecycles. Experience coaching customers around tech stack, tooling, and processes. Comfortable working with Slack, JIRA/Confluence, and professional services applications such as Kantata. Basic understanding of AWS, APIs, and serverless technology. Chartered Financial Analyst designation a plus. About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry. Ridgeline started with a clean sheet of paper and a deep bench of experts bound by a set of core values and motivated to revolutionize an industry underserved by its current tech offerings. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry and we are prioritizing security, agility, and usability to empower business like never before. With a growing campus in Reno and offices in New York, Lake Tahoe, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by The Software Report as a “Top 100 Software Company,” and by Forbes as one of “America's Best Startup Employers.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits The cash compensation amount for this role is targeted at $128,000-$153,000 OTE. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above. As an employee at Ridgeline, you'll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits. #LI-Remote

Summer 2026 Internship Opportunity The Plant Conservation Science Internship at Mt. Cuba Center offers an exceptional opportunity to gain hands-on experience in plant research and conservation. As an integral member of the Plant Conservation Science team, interns will participate in field-based research and data collection throughout the region. This position combines extensive fieldwork (60-80% of time) with office-based research and analysis, providing a comprehensive learning experience in plant conservation. Interns will develop practical skills in field survey methods, ecological monitoring, and data management while contributing to real-world conservation efforts. Essential Functions of the Role This dynamic position combines field research with data analysis and project support. The intern will work closely with the Plant Conservation Science team while developing essential skills and knowledge in plant research and conservation. Primary Responsibilities Include Field Research: Conduct plant surveys and population monitoring during the day in primitive field conditions Assist with ecological research project data collection Document plant populations and habitat conditions Support experimental monitoring in forest and meadow settings Participate in habitat assessments and threat evaluation Collect data for ongoing ecological experiments Office-Based Work: Support project preparation through species identification research Assist with data entry and management Participate in team meetings and project planning Contribute to data analysis and interpretation Document research findings and observations Research plant habitat preferences and conservation needs Qualifications and Skills Required Qualifications: Minimum one year of college completed Coursework or planned program of study in ecology, plant biology, horticulture, or conservation Demonstrated interest and curiosity in plants Ability to work outdoors in various weather conditions Ability to work outside and hike on uneven terrain Ability to carry up to 30 pounds Strong attention to detail Ability to work both independently and as part of a team Preferred Qualifications: Prior experience in field work settings Prior plant identification experience Experience with data collection and management Knowledge of native plants and ecological concepts Familiarity with basic research methods Learning Outcomes Interns will develop: Practical experience in field-based plant survey techniques Skills in plant identification and documentation Experience in ecological monitoring methods Data collection and management capabilities Data interpretation skills Professional network within plant conservation A deeper understanding of scientific research methods About the Role: Compensation & Schedule Compensation: $17.00 per hour Duration: May 18 through August 21, 2026 Schedule: 40 hours per week, Monday through Friday Location: Mt. Cuba Center, Hockessin, Delaware Benefits include paid holidays and sick time Housing is not provided Field work transportation provided Opportunities for professional development and networking Interview & Hiring Process We require the following in order to consider your application: Resume Cover letter If you progress through additional stages in the hiring process you can expect to: Complete the online position questionnaire Complete a virtual screening interview Participate in a final interview with the Hiring Manager and interview panel Please note: All applications will be reviewed by our team, and all candidates will receive a status update via email after their application has been reviewed. Due to capacity constraints on our hiring team, we are unable to provide you with a specific status update beyond these parameters. Recruitment Timeline: Application deadline: January 16, 2026 Application review begins: Week of January 19, 2026 Final decisions communicated: Mid-February 2026 Commitment to Diversity Mt. Cuba Center is committed to diversity and inclusivity. We encourage qualified candidates from all cultures and communities to apply. For accommodations or assistance with your application, please email careers[a]mtcubacenter.org.

The Darden School of Business at the University of Virginia invites applications for a tenure-track open rank appointment in DADS, beginning in the fall of 2026. The DADS area at Darden specializes in influential academic research, teaching excellence, and the production of high-quality teaching materials made available to the world via Darden Business Publishing. There is broad latitude with respect to specific area of research interest. The area offers a variety of required and elective courses to residential and executive MBA students. Topics currently taught include decision analysis, data analytics, optimization, data science, behavioral decision making, game theory, and project management. The DADS faculty also teach in the Master of Science in Business Analytics program, as well as Darden's non-degree Executive Education programs. The Darden School of Business offers MBA and executive education programs with a global reach that consistently rank among the best in the world. The University of Virginia is regarded as one of the nation's finest public universities and Charlottesville is consistently ranked among the best places to live in the United States. In addition, Darden has a new state-of-the-art campus in the Washington D.C. area, providing additional global access for our research and teaching. The Darden School of Business is an organization with a strong culture that reflects our mission and vales. We foster a learning environment that inspires and engages people from many different backgrounds, and we are committed to creating a candidate experience that is respectful, transparent, and reflective of who we are as a business school. For the 2025-2026 academic year, the Darden School is recruiting in the areas of Analytics and Decision Sciences, Finance, Marketing, Technology and Operations Management, and Strategy, Entrepreneurship, & Ethics. For more information about the Darden School and the University of Virginia, see ********************************* Applicants must have a PhD in Decision Sciences, Data Science, Management Science, Operations Research, Statistics, Computer Science, or a related area by the date of appointment. Applicants must have the ability to be a successful researcher, teacher, and colleague at the Darden School. Applicants must show evidence of the ability to generate research of the highest quality and the potential to publish in premier outlets. Applicants, to the extent of their experience, must provide a record of success as a teacher, ideally both in MBA and executive programs. Senior candidates must also provide evidence of scholarly and managerial impact. All applicants are expected to be involved in research and teaching, in developing teaching materials, and in establishing or maintaining interactions with practicing managers as well as academicians. Candidates will also be evaluated for their capacity to support our new PhD program, specifically when it comes to mentoring students.

The Darden School of Business at the University of Virginia invites applications for a tenure-track open rank appointment in DADS, beginning in the fall of 2026. The DADS area at Darden specializes in influential academic research, teaching excellence, and the production of high-quality teaching materials made available to the world via Darden Business Publishing. There is broad latitude with respect to specific area of research interest. The area offers a variety of required and elective courses to residential and executive MBA students. Topics currently taught include decision analysis, data analytics, optimization, data science, behavioral decision making, game theory, and project management. The DADS faculty also teach in the Master of Science in Business Analytics program, as well as Darden's non-degree Executive Education programs. The Darden School of Business offers MBA and executive education programs with a global reach that consistently rank among the best in the world. The University of Virginia is regarded as one of the nation's finest public universities and Charlottesville is consistently ranked among the best places to live in the United States. In addition, Darden has a new state-of-the-art campus in the Washington D.C. area, providing additional global access for our research and teaching. The Darden School of Business is an organization with a strong culture that reflects our mission and vales. We foster a learning environment that inspires and engages people from many different backgrounds, and we are committed to creating a candidate experience that is respectful, transparent, and reflective of who we are as a business school. For the 2025-2026 academic year, the Darden School is recruiting in the areas of Analytics and Decision Sciences, Finance, Marketing, Technology and Operations Management, and Strategy, Entrepreneurship, & Ethics. For more information about the Darden School and the University of Virginia, see ******************************** . Applicants must have a PhD in Decision Sciences, Data Science, Management Science, Operations Research, Statistics, Computer Science, or a related area by the date of appointment. Applicants must have the ability to be a successful researcher, teacher, and colleague at the Darden School. Applicants must show evidence of the ability to generate research of the highest quality and the potential to publish in premier outlets. Applicants, to the extent of their experience, must provide a record of success as a teacher, ideally both in MBA and executive programs. Senior candidates must also provide evidence of scholarly and managerial impact. All applicants are expected to be involved in research and teaching, in developing teaching materials, and in establishing or maintaining interactions with practicing managers as well as academicians. Candidates will also be evaluated for their capacity to support our new PhD program, specifically when it comes to mentoring students. Please visit *********************************** to apply. Complete the application and see below for documents to attach. **Required Application Materials:** + CV + Cover Letter that describes your research agenda and teaching experience (including a summary of teaching evaluations if available) + One research paper (either published or a working paper) + Contact information for 3 references **Applications that do not contain all of the required documents will not receive full consideration.** Review of applications will begin on November 5, 2025, though we welcome applications after that date and will continue to review applications until the position is filled. For questions about the application process, please contact Amy Fitzgerald at ******************************* . For more information about the Darden School and the University of Virginia, see ******************************* . The selected candidate will be required to complete a background check at time of offer per University Policy. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here (************************************************************************** to read more about UVA's commitment to non-discrimination and equal opportunity employment. **The University of Virginia offers confidential Dual Career Services to partners of incoming faculty candidates. To learn more, please visit** **dualcareer.virginia.edu**

At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We're energized by the potential to power more learners through multiple approaches and various tools. Let's Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Team: The AI & Data Platform team's mission is to build and maintain a rock-solid, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the bedrock upon which our AI ambitions are built. As we consolidate our AI efforts to create a unified and powerful product portfolio, the platform team's primary focus is on achieving operational excellence. We aggressively buy and leverage best-in-class MLOps and DataOps technologies to accelerate the pace of innovation across Quizlet. About the Role: As a Senior AI & Data Platform Engineer, you'll play a critical role in designing and building Quizlet's next-generation analytical data and machine learning infrastructure. You'll partner with teams across Data Science, ML Engineering, and Product to deliver scalable, reliable, and efficient systems that enable the development and deployment of AI-powered features. You'll measure success through platform reliability, developer experience, and adoption across teams. This is an opportunity to work with cutting-edge technologies and contribute to the foundation that powers Quizlet's AI roadmap. We're happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require employees to be in the office a minimum of three days per week: Monday, Wednesday, and Thursday, and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.In this role, you will: Build and maintain ML and data infrastructure to support large-scale model training, deployment, and monitoring Collaborate with Product Management, Analytics, and Engineering teams to design data systems that meet diverse needs Develop and optimize tools that improve developer efficiency and data platform usability Implement scalable and resilient data ingestion and processing systems (real-time and batch) Contribute to platform reliability, observability, and automation improvements Participate in design and code reviews, sharing best practices and mentoring peers What you bring to the table: 5-8+ years of experience building and maintaining large-scale data or ML platforms in production environments Strong experience with distributed systems, data pipelines, and ML infrastructure (e.g., Airflow, dbt, GCP, Kubernetes, feature stores) Experience contributing to best practices for reliability and efficiency in data workflows Strong problem-solving and collaboration skills Bonus points if you have: Experience with cross-cloud data infrastructure or hybrid orchestration Contributions to open-source data/ML tooling or frameworks Demonstrated impact improving developer experience or data reliability Compensation, Benefits & Perks: Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $165,000 - $225,500, depending on location and experience, as well as company stock options Collaborate with your manager and team to create a healthy work-life balance 20 vacation days that we expect you to take! Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice) Employer-sponsored 401k plan with company match Access to LinkedIn Learning and other resources to support professional growth Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits 40 hours of annual paid time off to participate in volunteer programs of choice Why Join Quizlet? 🌎 Massive reach: 60M+ users, 1B+ interactions per week 🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science 📈 Strong momentum: Top-tier investors, sustainable business, real traction 🎯 Mission-first: Work that makes a difference in people's lives 🤝 Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT