Data Scientist jobs at Hewlett Packard Enterprise

Role : Data Architect with low latency Duration : Long Term Contact We're seeking a seasoned Lead Software Engineer to architect, build, and scale real time data processing platforms that power event driven applications and analytics. You'll lead the design of streaming microservices, govern data quality and lineage, and mentor engineers while partnering with product, platform, and security stakeholders to deliver resilient, low latency systems. Responsibilities: • Own design & delivery of high throughput, low latency streaming solutions using technologies like Confluent Kafka, Apache Flink, Hazelcast, Kafka Streams, Kafka Connect, and Schema Registry. • Design and implement microservices and event driven systems with robust ETL/ELT pipelines for real time ingestion, enrichment, and delivery. • Establish distributed caching and in memory data grid patterns (e.g., Redis, Hazelcast) to optimize read/write performance and session/state management. • Define and operationalize event gateways / event grids for event routing, fan out, and reliable delivery. • Lead data governance initiatives-standards for metadata, lineage, classifications, retention, access controls, and compliance (PII/PCI/SOX/GDPR as applicable). • Drive CI/CD best practices (pipelines, automated testing, progressive delivery) to enable safe, frequent releases; champion DevSecOps and “shift left” testing. • Set SLOs/SLAs, track observability (tracing, metrics, logs), and optimize performance at scale (throughput, backpressure, state, checkpointing). • Work with Security, Platform, and Cloud teams on networking, IAM, secrets, certificates, and cost optimization. • Mentor engineers, conduct design reviews, and enforce coding standards and reliability patterns. • Guide platform and delivery roadmap Required Qualifications: • 10+ years in software engineering; 5+ years designing large-scale real time or event driven platforms. • Expert with Confluent Kafka (brokers, partitions, consumer groups, Schema Registry, Kafka Connect), Flink (DataStream/Table API, stateful ops, checkpointing), Hazelcast, and/or Kafka Streams. • Strong in ETL/ELT design, streaming joins/windows, exactly once semantics, and idempotent processing. • Experience with microservices (Java/Python), REST/gRPC, protobuf/Avro, and contract-first development. • Hands-on with distributed caching and in memory data grids; performance tuning and eviction strategies. • Cloud experience in any one or more cloud platforms Azure/AWS/GCP; containers, Docker, Kubernetes. • Experience in production-grade CI/CD (Jenkins, Bamboo, Harness or similar), Infrastructure as Code (Terraform/Helm). • Robust observability (Prometheus/Grafana/OpenTelemetry, Splunk/ELK or similar), and resilience patterns (circuit breakers, retries, DLQs). • Practical data governance: metadata catalogs, lineage, encryption, RBAC. • Excellent communication; ability to lead design, influence stakeholders, and guide cross-functional delivery. • Core competencies to include Architectural Thinking, Systems Design, Operational Excellence, Security & Compliance, Team Leadership, Stakeholder Management. Nice to Have: • Experience with CDC, Kafka Connect custom connectors, Flink SQL, Beam. • Streaming ML or feature stores integration (online/offline consistency). • Multi region / disaster recovery for streaming platforms. • Experience with Zero downtime migrations, blue/green, and canary deployments."

*Immigration sponsorship is not available in this role* We are looking for an experienced Data Engineer (8+ years of experience) with deep expertise in Flink SQL to join our engineering team. This role is ideal for someone who thrives on building robust real-time data processing pipelines and has hands-on experience designing and optimizing Flink SQL jobs in a production environment. You'll work closely with data engineers, platform teams, and product stakeholders to create scalable, low-latency data solutions that power intelligent applications and dashboards. ⸻ Key Responsibilities: • Design, develop, and maintain real-time streaming data pipelines using Apache Flink SQL. • Collaborate with platform engineers to scale and optimize Flink jobs for performance and reliability. • Build reusable data transformation logic and deploy to production-grade Flink clusters. • Ensure high availability and correctness of real-time data pipelines. • Work with product and analytics teams to understand requirements and translate them into Flink SQL jobs. • Monitor and troubleshoot job failures, backpressure, and latency issues. • Contribute to internal tooling and libraries that improve Flink developer productivity. Required Qualifications: • Deep hands-on experience with Flink SQL and the Apache Flink ecosystem. • Strong understanding of event time vs processing time semantics, watermarks, and state management. • 3+ years of experience in data engineering, with strong focus on real-time/streaming data. • Experience writing complex Flink SQL queries, UDFs, and windowing operations. • Proficiency in working with streaming data formats such as Avro, Protobuf, or JSON. • Experience with messaging systems like Apache Kafka or Pulsar. • Familiarity with containerized deployments (Docker, Kubernetes) and CI/CD pipelines. • Solid understanding of distributed system design and performance optimization. Nice to Have: • Experience with other stream processing frameworks (e.g., Spark Structured Streaming, Kafka Streams). • Familiarity with cloud-native data stacks (AWS Kinesis, GCP Pub/Sub, Azure Event Hub). • Experience in building internal tooling for observability or schema evolution. • Prior contributions to the Apache Flink community or similar open-source projects. Why Join Us: • Work on cutting-edge real-time data infrastructure that powers critical business use cases. • Be part of a high-caliber engineering team with a culture of autonomy and excellence. • Flexible working arrangements with competitive compensation.

ABOUT US Do you have a passion for higher education? Do you want to make a positive impact on the college admissions process? Our staff help to remove barriers and encourage students to forge their path to a better future. Common App is a national not-for-profit organization dedicated to the pursuit of access, equity, and integrity in the college admission process. Each year we support more than 1 million students, one-third of whom are first-generation, as they apply to our more than 1100 diverse member colleges & universities using the Common App's free online application. If you are an experienced Data Scientist professional and want to be part of a mission-driven non-profit that uses innovative technology to advance the college admission process, Common App may be a great match for you. Common App is currently searching for a Data Scientist, Data Operations. RESPONSIBILITIES The Data Scientist position is charged with helping to build the organization's evolving data analytic and research function. Reporting to the Director of Data Science, Data Operations, the individual will be engaged with all aspects of the data operations function, including the development of internal and external-facing business intelligence products, oversight of data warehousing, and analyses and reports supporting Common App's organizational priorities and strategic initiatives. The Data Scientist will build efficient systems, processes, and workflows to execute the data operations agenda. They will produce and maintain ETL processes, tables, and visualizations supporting Common App's commitment to access and equity across the organization's functional areas. They will also collaborate closely with our Technology Services (Data Warehousing Engineering), Product Strategy, and Data Analytics and Research teams to maximize the impact of the data warehouse. Our organization is dedicated to reimagining college admissions to be more simple, logical, joyful, and equitable. Additionally, we hope to expand access to more low- and middle-income students via partnerships and innovations, leverage our data and research to be a voice for equity in the admissions process, and connect students to financial aid resources, information, and opportunities. QUALIFICATIONS This role requires: * Candidates must live in the United States. * Willing to travel to attend twice annual Common App Retreat. * Bachelors degree in quantitative social sciences discipline (e.g., Public Policy, Economics, Education Policy, Education Measurement, Psychometrics, Computational Psychology, etc.) or related quantitative field (e.g., Data Science, Statistics); or an equivalent combination of education and experience. * 4-6 years of related experience: data reporting, SQL, database architecture, ETL procedures, data analytics, data mining, data operations, and data quality. Or an equivalent combination of education and experience. * Experience in designing and implementing data warehousing, reporting, and analytic systems. * Experience working with and validating imperfect data. * Experience with descriptive and inferential statistics. * Experience working with National Center for Education Statistics, Census, College Scorecard, National Student Clearinghouse, Integrated Postsecondary Education Data System, and/or other publicly available datasets relevant to education. * Fluent in data manipulation and coding with SQL and/or R. * Understanding of the strategic context of Common Application's role in the higher education industry. * Strong interpersonal skills and service orientation. * Proven ability to communicate data and research findings to non-technical audiences. * Ability to work effectively in a collaborative and diverse environment The ideal candidate will possess: * Master's or doctorate degree in a quantitative discipline and at least one year of related experience. * 2-4 years of related experience with data visualization (Tableau, R preferred). * 2-4 years of related experience with Atlassian tools, Git, Databricks, AWS Sagemaker, or S3. * Fluent data manipulation and coding with tools such as SQL, Python, Tableau, and R. * Experience working with Agile frameworks for cross-functional, product-minded collaboration. * Teaching and supporting non-data experts in the use and interpretation of data. * A passion for higher education is a plus. PAY RANGE * $95,000 - $99,134.10 Common App is a virtual first environment. We value our employees' time and efforts. Our commitment to your success is enhanced by our competitive salary and an extensive benefits package including: * Work-Life balance * Virtual-first office * Paid Time Off (PTO) * Seven company-wide holidays * Nine floating holidays* * Sick leave * Monthly mental health day * floating holidays prorated depending on start date * Virtual-first support * Choice of PC of MAC laptop * May choose an external monitor, keyboard, mouse, and/or headset * One-time office set-up stipend * Monthly remote work stipend * Monthly mobile stipend * Financial security * Market-based salaries * Performance-based bonus * 403(b) retirement plan * 5% company contribution * additional 5% company match * 3-year vesting schedule * Participation may begin immediately * Health & wellness * Choice of two health insurance plans * Health Savings Account, depending on health plan selection * Medical Flexible Savings Account, depending on health plan selection * Vision insurance * Dental insurance * Insurance coverage begins on the date of hire * Dependent Care Flexible Spending Account * Maven virtual clinic for women's and family health * Company provided life and ad&d insurance * Opportunity to purchase additional life insurance for self, spouse, and dependents * Company provided short and long-term disability insurance * Career development * Budgeted annual funds for professional development * Growth opportunities within the company * Additional perks * Mutual of Omaha Employee Assistance Program * Mutual of Omaha will preparation services * Mutual of Omaha travel assistance * Payroll dedication pet insurance through PinPaws * 1Password family account We work to maintain the best possible environment for our staff, where people can learn and grow. We strive to provide a diverse, collaborative, team-oriented, creative environment where each person feels encouraged to contribute to our processes, decisions, planning, and culture. HOW DO I APPLY To apply for this opportunity, send your resume and cover letter with salary expectations. PROTECTING YOUR PERSONAL INFORMATION: During the recruiting process, please note that Common App will never: * Provide a job offer without an interview * Ask for payment to process documents, purchase equipment or for any other reason * Request banking or credit card information * Direct you to third-party services to obtain visas or other documentation As we work alongside you through our recruitment process, please remain alert and never provide financial information or payment to anyone claiming to offer a job opportunity. If you believe you're a victim of a job scam, report it to the Federal Trade Commission (FTC) or your state attorney general. To learn more about job scams, read the FBI's public service announcement or visit the FTC site.

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process. Job Category: Academic Staff Employment Type: Regular Job Profile: Data Scientist II The Wisconsin Registry for Alzheimer's Prevention (WRAP), one of the world's largest and longest-running studies of adults at risk for Alzheimer's disease, is seeking a Data Scientist II to join our data and informatics team at the Wisconsin Alzheimer's Institute (WAI). In this role, you will work closely with database administrators, biostatisticians, and investigators to prepare and analyze longitudinal datasets, create visualizations and reports, develop and maintain automated pipelines, implement reproducible workflows and documentation, and deliver collaboration-ready data for internal projects and global partners. This position directly supports grant deliverables and contributes to publications and data sharing that advance biomarker and imaging science. * The work schedule is flexible and will be determined at the time of hire. * This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location * Candidates who demonstrate the following knowledge, skills, and abilities, will be given first consideration: 1) Advanced proficiency in R programming, including development of automated data pipelines and reproducible workflows. 2) Expertise in data wrangling, quality control, and integration of complex, multi-source datasets. 3) Experience with version control (Git) and collaborative coding practices. 4) Ability to create dynamic, reproducible reports using Quarto/R Markdown and other modern reporting tools. 5) Familiarity with workflow automation and dependency management. 6) Strong communication and collaboration skills for cross-functional teams Key Job Responsibilities: * Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators * Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows * Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources * Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining * Organizes and automates project steps for data preparation and analysis Department: School of Medicine and Public Health, Wisconsin Alzheimer's Institute (WAI), in the Operational Area of WRAP WI Registry for Alzheimer Prevention The Wisconsin Alzheimer's Institute (WAI) supports the UW School of Medicine and Public Health's (SMPH) mission of "advancing health and health equity through remarkable service to patients and communities, outstanding education, and innovative research." Core values for WAI are service, inclusive collaboration, excellence, empathy, compassion and fairness. These values inform WAI efforts to lead innovative, impactful programs with partners both in and outside SMPH and the University of Wisconsin-Madison. WAI goals are focused on helping people living with or at risk for Alzheimer's disease or other dementia, their caregivers, and the health professionals working to support them. Through research initiatives, statewide memory clinic development, education and public health programs focused on both the clinician and caregiver, we identify and provide strategies to reduce dementia risk and offer access to effective care. WAI scientists and program leaders coordinate research-based education and events for caregivers and community members throughout Wisconsin and across the nation. The WRAP study has collected 21+ years of longitudinal data to identify early risk and resilience factors, enabling biomarker discovery and translational science in partnership with collaborators worldwide. Compensation: The starting salary for the position is $75,000; but is negotiable based on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer Required Qualifications: * Experience processing data using R in research or biomedical projects * Ability to implement reproducible research practices, including scripted workflows and documentation * Proficiency in R for data visualization, statistical analysis, and automation Preferred Qualifications: * Experience monitoring and optimizing data pipelines in research or biomedical settings * Experience with containerization or environment management tools (e.g., Docker, renv) for reproducibility * Experience mentoring others in coding best practices and reproducible workflows * Soft skills: Organization, attention to detail, commitment to data quality, and ability to communicate effectively with individuals from diverse backgrounds. Education: Master's degree preferred; focus in Data Science, Statistics, Biostatistics, Computer Science, Computational Biology, Bioinformatics, Epidemiology, Quantitative Social Sciences, Public Health, with a strong emphasis in data analysis OR equivalent years of experience working with R pipelines in a professional setting How to Apply: For the best experience completing your application, we recommend using Chrome or Firefox as your web browser. To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials. Important: The application has only one attachment field. Upload all required documents in that field, either as a single combined file or as multiple files in the same upload area. * Cover Letter * Resume Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected. University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work. Contact Information: Ramiro Rea Reyes, PhD, *************************** Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. The University of Wisconsin-Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website. To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you. Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

**Your Work Shapes the World at Caterpillar Inc.** When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. _Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world._ **Job Summary:** Cat Digital's Platform Algorithms team is looking for a talented and motived Lead Data Scientist that will help improve platform data by developing and delivering ML/AI models to address the most challenging data issues. As a Lead Data Scientist, you will apply machine learning and other analytics techniques on a very large set of diverse data from IoT connected assets, our integrated network of dealers and enterprise data. **What You Will Do:** + Experience leading projects and teams to completion. Mentor and provide guidance to other team members. + Leading, exploring, developing, promoting, and implementing various projects focused Machine Learning. + Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. + Interacting and collaborating with the Analytics management team, with the team members and colleagues outside the organization, including outside Cat Digital. + Reporting and presenting team results. **What You Will Have:** + **Machine Learning:** Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. + **Analytical Thinking:** Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. + **Business Statistics:** Extensive knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. **Considerations for Top Candidates:** + Advanced degree in a discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree + Extensive experience in predictive analytics. Building and implementing machine learning models + Advance experience programming in Python and SQL + Experience with AWS products such as Sagemake, RDS, EC2, S3 **Additional Information:** This position will have the option to be based out of our Chicago, IL or Peoria, IL offices. \#LI \#BI (used to post on Built In Chicago) **What You Will Get:** Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. **About Caterpillar** Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. **Summary Pay Range:** $126,000.00 - $204,720.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. **Benefits:** Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. + Medical, dental, and vision benefits* + Paid time off plan (Vacation, Holidays, Volunteer, etc.)* + 401(k) savings plans* + Health Savings Account (HSA)* + Flexible Spending Accounts (FSAs)* + Health Lifestyle Programs* + Employee Assistance Program* + Voluntary Benefits and Employee Discounts* + Career Development* + Incentive bonus* + Disability benefits + Life Insurance + Parental leave + Adoption benefits + Tuition Reimbursement * These benefits also apply to part-time employees Visa sponsorship is available for eligible applicants. **Posting Dates:** December 10, 2025 - January 4, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community (*********************************************** .

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world. Job Summary: Cat Digital's Platform Algorithms team is looking for a talented and motived Lead Data Scientist that will help improve platform data by developing and delivering ML/AI models to address the most challenging data issues. As a Lead Data Scientist, you will apply machine learning and other analytics techniques on a very large set of diverse data from IoT connected assets, our integrated network of dealers and enterprise data. What You Will Do: * Experience leading projects and teams to completion. Mentor and provide guidance to other team members. * Leading, exploring, developing, promoting, and implementing various projects focused Machine Learning. * Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. * Interacting and collaborating with the Analytics management team, with the team members and colleagues outside the organization, including outside Cat Digital. * Reporting and presenting team results. What You Will Have: * Machine Learning: Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. * Analytical Thinking: Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. * Business Statistics: Extensive knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Considerations for Top Candidates: * Advanced degree in a discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree * Extensive experience in predictive analytics. Building and implementing machine learning models * Advance experience programming in Python and SQL * Experience with AWS products such as Sagemake, RDS, EC2, S3 Additional Information: This position will have the option to be based out of our Chicago, IL or Peoria, IL offices. #LI #BI (used to post on Built In Chicago) What You Will Get: Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. About Caterpillar Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Summary Pay Range: $126,000.00 - $204,720.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. * Medical, dental, and vision benefits* * Paid time off plan (Vacation, Holidays, Volunteer, etc.)* * 401(k) savings plans* * Health Savings Account (HSA)* * Flexible Spending Accounts (FSAs)* * Health Lifestyle Programs* * Employee Assistance Program* * Voluntary Benefits and Employee Discounts* * Career Development* * Incentive bonus* * Disability benefits * Life Insurance * Parental leave * Adoption benefits * Tuition Reimbursement * These benefits also apply to part-time employees Visa sponsorship is available for eligible applicants. Posting Dates: December 10, 2025 - January 4, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

Data Science Research Services The Data Scientist will support the analytical, research, and technical needs of DSRS in helping Faculty and Researchers. This role is responsible for conducting data analysis, building datasets, developing models, supporting research projects, and contributing to internal tools that enhance data-driven decision-making within the Gies College of Business. Duties & Responsibilities * Data Analysis & Research Support a. Clean, prepare, and analyze datasets to support faculty research and DSRS initiatives. b. Conduct exploratory data analysis, statistical testing, and visualizations. c. Translate research questions into clear analytical approaches and deliverable outputs. * Modeling & Methodology Development a. Build and evaluate statistical models or machine learning models based on project needs. b. Develop reproducible workflows for model training, testing, and interpretation. c. Document methodologies and maintain organized, transparent code for future reference. * Data Pipeline & Workflow Development a. Assist in building and maintaining robust data pipelines used across DSRS projects. b. Ensure data processing steps are consistent, scalable, and aligned with best practices. c. Collaborate with technical staff to integrate data processes into DSRS framework * Internal Tools & Reporting a. Contribute to dashboards, internal applications, or automation processes used by DSRS. b. Generate clear summaries, reports, and visual outputs for faculty and internal stakeholders. c. Support development of templates, documentation, and shared resources. d. Support and contribute to infrastructure development to support DSRS services * Cross-Functional Collaboration a. Work closely with faculty, staff, project managers, and interns to deliver high-quality analytical work. b. Participate in project scoping, requirement gathering, and progress discussions. c. Provide technical guidance or support to junior team members when needed. d. Mentor and train students into Data Science Applications * Miscellaneous a. Provide ad-hoc assistance as and when required b. Support additional tasks or emerging needs that fall outside the primary responsibilities, as the role evolves with DSRS. Additional Physical Demands Additional Information: This position supports both research-based and operational projects within the college. Work may include collaboration with multiple faculty members, administrative units, and cross-functional teams. The role requires flexibility, professionalism, and adherence to university data, privacy, and security standards. Minimum Qualifications 1. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field. 2. Proficiency in Python and commonly used data science libraries 3. Experience with data cleaning, analysis, and visualization. 4. Experience applying statistical or machine learning methods to real datasets. Preferred Qualifications 1. Experience working with large or research datasets. 2. Experience with large computing systems. 3. Experience with SQL or relational databases. 4. Familiarity with cloud tools or workflow automation 5. Experience supporting academic research or collaborative analytic projects. 6. Familiarity with emerging AI/ML techniques (e.g., embeddings, LLM-based workflows). Knowledge, Skills and Abilities Strong analytical and problem-solving skills. Ability to write clean, well-documented, and reproducible code. Strong communication skills and ability to explain technical concepts clearly. Appointment Information This is a 100% full-time Academic Professional position, appointed on a 12-month basis. The expected start date is as soon as possible after the 2/16/2026. Salary is competitive and commensurate with qualifications and experience, while also considering internal equity. The budgeted salary range for the position is $90,000 to $100,000. Sponsorship for work authorization is not available for this position. For more information about Gies Business, visit ****************************************************** Application Procedures & Deadline Information Applications must be received by 6:00 pm (Central Time) on January 15, 2026. Apply for this position using the Apply Now button at the top or bottom of this posting, and upload your cover letter, resume (months and years of employment must be included), and names/contact information for three professional references. Please remember to include specific information on how you meet the qualifications of the position in your resume, including all relevant experience. Applications not submitted through ************************* will not be considered. For further information about this specific position, please contact *******************. For questions regarding the application process, please contact ************. This position is intended to be eligible for benefits. This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents. The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify. Applicants with disabilities are encouraged to apply and may request a reasonable accommodation under the Americans with Disabilities Act (2008) to complete the application and/or interview process. Accommodations may also be requested on the basis of pregnancy, childbirth, and related conditions, or religion. Requests may be submitted through the reasonable accommodations portal, or by contacting the Accessibility & Accommodations Division of the Office for Access and Equity at ************, or by emailing accessibility@illinois.edu. Requisition ID: 1034068 Job Category: Research Apply at: *************************

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 Data Science, Analytics team at Quizlet is at the forefront of product research. We leverage our rich data set to represent the voice of our students and teachers at scale. Our team outcomes focus on delivering insights that drive product strategy using the data science toolkit. We serve in a pivotal strategic role, identifying and driving inquiry on behalf of leaders at the company. The team is supported by Machine Learning and Data Engineering teams that partner with data scientists to ensure we are building a data-driven culture. About the Role: As a Staff Data Scientist on the Core Product Analytics team, you'll partner closely with Product, Engineering, and Design to uncover insights that shape Quizlet's product strategy. You'll design experiments, develop analytical frameworks, and define metrics that measure success and drive product growth. This role is ideal for a data scientist who loves translating complex data into clear, actionable recommendations. You'll own end-to-end analytics for core product areas-informing roadmaps, running A/B tests, and ensuring that every major product decision is backed by evidence. We're happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees 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: Focus on driving business insights through data to guide product strategy and feature development Develop analytical frameworks and foundations to enable actions and next steps in the business Embed within a product pod, collaborating with partners across Product, Engineering, and Design Develop experimentation strategy and support A/B testing from inception to measurement and analysis Explore, develop, and present insights that inform product roadmap and strategy using Quizlet's rich learning dataset Define and track key performance metrics that measure success across product initiatives What you bring to the table: 5+ years of experience in data science at a consumer internet company (or 3+ years with a Master's or PhD) Experience running A/B tests and applying statistical techniques to model and predict user behavior Proven experience working with product teams to drive strategy through insights and modeling Experience creating and owning resilient ETLs and dashboards that power business metrics Advanced SQL skills (window functions, sub-queries, etc.) Strong communication skills to synthesize, visualize, and communicate ideas effectively Bonus points if you have: Experience with dbt or Airflow Expertise in Python for data analysis and modeling Degree in Math, Physics, Statistics, Economics, Computer Science, or another quantitative field 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 $196,500 -$268,000 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-FTWe 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.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The University of Miami, Bascom Palmer Eye Institute, has an exciting full time opportunity for a Data Scientist for the Department of Research in Miami, Florida. The Data Scientist 3 is a subject matter expert at using large data sets to find opportunities for product and process optimization, using models to test the effectiveness of different courses of action. In addition, uses a variety of data mining and analysis methods, using a range of data tools, building and implementing models, using and creating algorithms and creating and running simulations. Moreover, the Data Scientist 3 provides recommendations to drive business results with data-based insights, and influences a wide range of stakeholders and functional teams. CORE JOB FUNCTIONS * Collaborates with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. * Leads the development of a state-of-the-art data portal for the storage, management and analysis of multidimensional and diverse datasets. * Leads the development of pipelines and workflows for the integration of publicly available datasets with the developed infrastructure * Performs active project management to develop the Data Portal and other tools, coordinating the timely implementation of user requirements, technical specifications and user feedback * Leverages state-of-the-art big data and AI approaches and develops computational algorithms and workflows for the identification of novel targets and appropriate prioritization * Mines and analyzes data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. * Leads the assessment of effectiveness and accuracy of new data sources and data gathering techniques. * Develops custom data models and algorithms to apply to data sets. * Uses predictive modeling to increase and optimize customer experiences, operational efficiencies, and other business outcomes. * Leads different functional teams to implement models and monitor outcomes. * Develops processes and tools to monitor and analyze model performance and data accuracy. * Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Doctorate degree in relevant field required Experience: Minimum 7 years of relevant experience required Certification and Licensing: Refer to department description for applicable certification requirements Knowledge, Skills and Abilities: * Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands. * Teamwork: Ability to work collaboratively with others and contribute to a team environment. * Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. * Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. Department Specific Functions Development and optimization of AI models for diagnosis: Lead the development, training, and deployment of advanced deep learning models for ocular disease diagnosis, improving accuracy and accessibility of clinical tools. Big data integration and processing: Coordinate the management, curation, and analysis of large-scale multimodal datasets (Optical Coherence Tomography/OCT, fundus, slit lamp), ensuring data quality and readiness for machine learning pipelines. Applied image enhancement for clinical utility: Implement and supervise advanced image processing and quality enhancement workflows to maximize diagnostic reliability and algorithm performance. Collaboration and team leadership: Coordinate cross-functional teams of fellows, researchers, healthcare professionals, and data scientists integrating artificial intelligence solutions into clinical and research settings while mentoring junior scientists. Innovation in computational methods: Apply and adapt big-data analysis techniques, large language models, and specialized machine learning models to identify novel diagnostic opportunities and improve workflow efficiency. This is a core job profile description and is not reflective of all duties that may be assigned to a specific position in each individual department. The above statements are intended to describe the general nature and primary responsibilities of this core job profile. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job. The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: H14

**Your Work Shapes the World at Caterpillar Inc.** When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. _Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world._ **Job Summary:** Cat Digital's Platform Algorithms team is looking for a talented and motived Lead Data Scientist that will help improve platform data by developing and delivering ML/AI models to address the most challenging data issues. As a Lead Data Scientist, you will apply machine learning and other analytics techniques on a very large set of diverse data from IoT connected assets, our integrated network of dealers and enterprise data. **What You Will Do:** + Experience leading projects and teams to completion. Mentor and provide guidance to other team members. + Leading, exploring, developing, promoting, and implementing various projects focused Machine Learning. + Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. + Interacting and collaborating with the Analytics management team, with the team members and colleagues outside the organization, including outside Cat Digital. + Reporting and presenting team results. **What You Will Have:** + **Machine Learning:** Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. + **Analytical Thinking:** Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. + **Business Statistics:** Extensive knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. **Considerations for Top Candidates:** + Advanced degree in a discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree + Extensive experience in predictive analytics. Building and implementing machine learning models + Advance experience programming in Python and SQL + Experience with AWS products such as Sagemake, RDS, EC2, S3 **Additional Information:** This position will have the option to be based out of our Chicago, IL or Peoria, IL offices. \#LI \#BI (used to post on Built In Chicago) **What You Will Get:** Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. **About Caterpillar** Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. **Summary Pay Range:** $126,000.00 - $204,720.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. **Benefits:** Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. + Medical, dental, and vision benefits* + Paid time off plan (Vacation, Holidays, Volunteer, etc.)* + 401(k) savings plans* + Health Savings Account (HSA)* + Flexible Spending Accounts (FSAs)* + Health Lifestyle Programs* + Employee Assistance Program* + Voluntary Benefits and Employee Discounts* + Career Development* + Incentive bonus* + Disability benefits + Life Insurance + Parental leave + Adoption benefits + Tuition Reimbursement * These benefits also apply to part-time employees Visa sponsorship is available for eligible applicants. **Posting Dates:** December 10, 2025 - January 4, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community (*********************************************** .

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world. Job Summary: Cat Digital's Platform Algorithms team is looking for a talented and motived Lead Data Scientist that will help improve platform data by developing and delivering ML/AI models to address the most challenging data issues. As a Lead Data Scientist, you will apply machine learning and other analytics techniques on a very large set of diverse data from IoT connected assets, our integrated network of dealers and enterprise data. What You Will Do: * Experience leading projects and teams to completion. Mentor and provide guidance to other team members. * Leading, exploring, developing, promoting, and implementing various projects focused Machine Learning. * Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. * Interacting and collaborating with the Analytics management team, with the team members and colleagues outside the organization, including outside Cat Digital. * Reporting and presenting team results. What You Will Have: * Machine Learning: Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. * Analytical Thinking: Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. * Business Statistics: Extensive knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Considerations for Top Candidates: * Advanced degree in a discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree * Extensive experience in predictive analytics. Building and implementing machine learning models * Advance experience programming in Python and SQL * Experience with AWS products such as Sagemake, RDS, EC2, S3 Additional Information: This position will have the option to be based out of our Chicago, IL or Peoria, IL offices. #LI #BI (used to post on Built In Chicago) What You Will Get: Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. About Caterpillar Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Summary Pay Range: $126,000.00 - $204,720.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. * Medical, dental, and vision benefits* * Paid time off plan (Vacation, Holidays, Volunteer, etc.)* * 401(k) savings plans* * Health Savings Account (HSA)* * Flexible Spending Accounts (FSAs)* * Health Lifestyle Programs* * Employee Assistance Program* * Voluntary Benefits and Employee Discounts* * Career Development* * Incentive bonus* * Disability benefits * Life Insurance * Parental leave * Adoption benefits * Tuition Reimbursement * These benefits also apply to part-time employees Visa sponsorship is available for eligible applicants. Posting Dates: December 10, 2025 - January 4, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

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:

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Position Overview The Lead Data Scientist at RGA is a dynamic, forward-thinking innovator who serves as both a technical authority and visionary leader in our Americas Data Solutions team. In this pivotal role, you will harness cutting-edge predictive modeling techniques and first-class data assets to tackle complex challenges unique to the global reinsurance sector, directly impacting RGA's mission of making financial protection accessible and reliable. As a trusted architect of transformational solutions, you will spearhead cross-functional initiatives, set the standard for technical excellence, and collaborate closely with RGA's senior leadership to shape and execute a data science strategy that drives business growth and redefines what's possible for our clients and partners worldwide. Responsibilities * Strategic Solution Architecture: Spearhead the end-to-end design and architecture of sophisticated predictive models tailored to address the unique challenges and opportunities in the reinsurance sector. This includes leading statistical modeling initiatives and integrating these solutions into critical business functions like pricing, risk assessment, claims analytics, and customer engagement. Ensure that model architectures are robust, secure, and optimized for both performance and interpretability, while aligning with RGA's strategic objectives and compliance requirements. * Technical Leadership & Mentorship: Provide hands-on technical leadership by setting high standards for analytical rigor and solution quality. Mentor and coach both senior and junior data scientists and actuaries, offering guidance on advanced modeling techniques, code review, and project management best practices. Foster a collaborative and innovative team environment that encourages knowledge sharing, continuous learning, and the adoption of new tools and methodologies. Lead technical deep-dives and problem-solving sessions to address the most complex analytical challenges faced by the team. * Cross-Functional Leadership: Oversee and coordinate large-scale, cross-functional projects that require collaboration across diverse groups such as Actuarial, Underwriting, IT, Legal, and Operations. Develop and maintain project plans, set clear deliverables, and facilitate effective communication among stakeholders to ensure alignment on project goals and timelines. Proactively identify and resolve conflicts or bottlenecks, ensuring that projects are executed efficiently and deliver measurable business impact. * Innovation & Strategy: Act as a catalyst for innovation by proactively scouting, evaluating, and piloting emerging modeling techniques and technologies relevant to the reinsurance industry. Lead the identification of new use cases, prototype novel solutions, and conduct feasibility studies. Recommend and implement best practices for integrating advanced analytics into business processes, and contribute to the development and ongoing refinement of the data science team's strategic roadmap. Share insights and learnings through presentations, white papers, and thought leadership within and beyond the organization. * Governance & Best Practices: Develop, document, and enforce best practices for data analysis, model development, and model governance. This includes establishing protocols for model validation, monitoring, versioning, and lifecycle management, as well as ensuring compliance with ethical standards and regulatory requirements. Oversee the creation and maintenance of comprehensive technical documentation to support transparency, reproducibility, and knowledge transfer across the team and organization. * Senior Stakeholder Management: Build and maintain strong partnerships with senior business leaders to understand strategic priorities, identify and prioritize high-impact analytical opportunities, and drive the adoption of data-driven solutions. Communicate complex technical concepts in clear, actionable terms tailored to both technical and non-technical audiences. Lead negotiations and change management efforts to overcome resistance and ensure successful implementation and value realization of new data science initiatives. * Domain Expertise: Apply deep subject matter expertise in life and health reinsurance-including domains such as mortality, morbidity, underwriting, and claims-to inform the design and interpretation of predictive models. Ensure that all analytical solutions are contextually relevant, aligned with industry best practices, and capable of addressing real-world business problems. Serve as a key resource for translating business needs into technical requirements and for validating model outputs against domain benchmarks and regulatory standards. Requirements * Master's or Ph.D. in Data Science, Computer Science, Statistics, Actuarial Science, Mathematics, or a related quantitative field. * 8+ years of experience in data science with demonstrated expertise in leading complex predictive modeling and AI projects. * Strong background in life/health insurance, reinsurance, or a related financial services domain. * Quantitative Skills: Possesses expert-level knowledge in a wide range of statistical modeling techniques, including regression analysis, classification, clustering, time series forecasting, and survival analysis. * Technical Skills: Exhibits deep, hands-on expertise in programming languages such as Python and R for data analysis, machine learning, and automation. Highly proficient in SQL for complex data extraction, transformation, and loading (ETL) processes. Demonstrated ability to deploy scalable models in cloud environments such as AWS, Azure, and Databricks, including the use of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for robust production deployments. * Problem-Solving: Demonstrated ability to approach highly complex and ambiguous problems with creativity and rigor. Skilled at framing business challenges as analytical questions, designing innovative solutions that may lack existing precedent, and validating approaches through experimentation and stakeholder feedback. Adept at balancing technical feasibility with business impact to deliver actionable insights. * Communication & Negotiation: Exceptional written and verbal communication skills, with the ability to distill complex technical concepts into clear, compelling narratives for both technical and non-technical audiences. Experienced in presenting findings to senior leadership, influencing decision-making, and negotiating with external partners to drive alignment and adoption of data-driven strategies. Skilled at facilitating cross-functional discussions and overcoming resistance to change. * Leadership: Demonstrated success in leading and inspiring cross-functional teams of data scientists, engineers, actuaries, and business stakeholders. Adept at managing projects from initial concept through to production deployment, ensuring alignment with organizational goals and timelines. Committed to mentoring and developing junior data scientist actuaries, fostering a collaborative and innovative team environment. * Business Acumen: Strong understanding of reinsurance treaty structures, risk assessment, and underwriting processes, with the ability to apply actuarial concepts to inform data science solutions. Experienced in quantifying and articulating the business value of analytics initiatives, translating technical outputs into actionable business recommendations that drive profitability and operational efficiency. Preferred * Actuarial credentials (ASA, FSA) or significant progress toward designation. * Publications or presentations in relevant data science or industry conferences. * Actuarial Skills: Possesses expert-level knowledge of traditional actuarial analysis, including multivariate analysis, experience studies, pricing, and valuation. Strong ability to apply advanced analytics techniques to traditional actuarial problems. * Experience working with Databricks, Snowflake, and AWS tech stacks. * Experience working with large longitudinal datasets using actuarial methods of analysis * GenAI Expertise: Proven experience in developing, fine-tuning, and evaluating large language models (LLMs) to address specific business requirements. Skilled in managing MLOps pipelines to ensure seamless integration of AI solutions into production, including monitoring, versioning, and automated retraining. Adept at building production-grade AI systems that are reliable, explainable, and compliant with governance standards, enabling the deployment of advanced AI applications in regulated industries. Demonstrates advanced proficiency in designing, validating, and interpreting machine learning algorithms (such as tree-based models, ensemble methods, neural networks, and natural language processing). Maintains up-to-date expertise in Generative AI (GenAI) technologies, including prompt engineering, model evaluation, and the application of large language models (LLMs) to solve business challenges. Experienced in leveraging modern machine learning and GenAI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, scikit-learn) to develop, test, and optimize models. What you can expect from RGA: * Gain valuable knowledge from and experience with diverse, caring colleagues around the world. * Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. * Join the bright and creative minds of RGA, and experience vast, endless career potential. Compensation Range: Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

Data Scientist Post Available Only to Americans American, Off-grid From here, our viewpoint is that the creative staff is committed to using data to reach findings that inspire fresh ideas. Data is about far more than simply numbers for us; it's the secret to revealing latent opportunities, overcoming tough obstacles, and future industry charting. We want a data scientist driven by data who can explore datasets, identify fresh trends, and apply their knowledge to actually change things. If you enjoy the chance to spin stories out of unprocessed data, join our team! What then is your strategy? Like a detective, examine challenging data looking for trends, connections, and patterns that could support corporate strategy. Exercises your critical thinking to investigate closely and develop reasonable answers. Create and polish machine learning models capable of forecasting consumer trends and actions, therefore contributing significantly to corporate decision-making. Work creatively with others: Work collaboratively with teams in marketing, engineering, and products to grasp corporate goals and create data-driven answers to actual problems. Set up automated data pipelines. Building effective and adaptable data pipelines that automatically transfer data can help to improve the availability and value of data. Share Knowledge: Present complicated data results clearly and attractingly to technical teams and non-technical stakeholders. Your aim should be for every piece of data to be simply understandable. By always learning fresh approaches, tools, and algorithms, keep ahead of the curve. You will make sure we remain competitive always by keeping us at the forefront of data practice innovation. Finding and resolving discrepancies helps one to guarantee that the data utilized for analysis is accurate, high-quality, and uncompromised. Our intended result: Potential applicants for this post could be Americans only. Data science, machine learning, or a similar discipline calls for minimum two to three years of pertinent professional experience. Statistical techniques, data analysis, and model development all flow naturally to you. Technical Mastery: You speak Python, R, and SQL rather well among other programming languages. Good usage of machine learning libraries including PyTorch, TensorFlow, or scikit-learn is appreciated. Using Tableau, Power BI, and Matplotlib, you are a master at visually appealing and intelligible presenting challenging data. According to the analytical perspective, one can see the possible insights by closely reviewing unprocessed data. Constantly asking "why" questions regarding the figures helps you to strengthen your critical thinking abilities. Your creative approach helps you to turn facts into strategic advantage and generate original answers to problems. You like collaborating with others whether you are developing fresh ideas or presenting your results to non-technical aware stakeholders. Your painstaking attention to detail helps the data you handle to be of the best quality and accuracy. Our Motives for Your Contentment in Comprising Our Team Working remotely in the US allows you to enjoy your freedom in juggling job and personal life. Join a team that celebrates uniqueness and creativity to start fresh ideas and assume leadership responsibilities. Development in Your Profession: We provide you various chances to pick up fresh skills, broaden your knowledge in a profession always changing, and progress in your employment. We provide a competitive pay, a whole benefits package, and wellness incentives to guarantee your health and happiness. You will directly influence the course of our company since you own its future. Your efforts will help to shape it. Approaches for Application: Are you ready to use data's power and change things? Your answer would really be much valued. Add a quick cover letter outlining your interest in data science and noting how your background fits the position. Note: Only US applicants are eligible for this post.

Welcome to Furman University's Career Site! * IMPORTANT: Load all documents in the My Experience area under Resume/CV. This may include your resume/C.V., cover letter, unofficial transcript, teaching philosophy, etc. Please wait for all documents to finish uploading before clicking Next. * If the process times out you will lose your progress, so please ensure you have all necessary documents available before starting. * The drop-down lists only display so many options: please type into a drop-down list to search for your option. For example: in Field of Study, you may need to enter your field name. If you have no field, type "None." * If you have previously applied, make sure your information is current as you can transfer it to another application. * Prior to submitting your application, verify all information for accuracy and ensure you have uploaded all appropriate documents. Once submitted, you will not be able to edit your application other than to change your contact information. If you have any questions or need additional assistance, please contact the Office of Human Resources via email at ********************** or by calling ************. Job Title: Data Scientist for Enrollment Management Job Family: Professionals Full-Time/Part-Time: Full time Compensation Grade: 10S Pay Type: Salary Department: VP for Enrollment Job Summary: Reporting to the Vice President for Enrollment Management, the Data Scientist is a member of the Enrollment Management senior leadership team and understands admission and financial aid strategies for undergraduate students and how to harness data, influence, and model admissions decisions, financial aid, enrollment, and student success. The Data Scientist will gather, interpret, monitor and analyze data policies, procedures and outcomes. The Data Scientist will use software engineering, statistics, and machine learning to automate processes and develop solutions to enrollment challenges. Job Description: Essential Job Duties: Design and conduct complex data analysis using student application data, demographic information, financial aid data, student success data, and other relevant sources. Develop and implement sophisticated predictive models to inform recruitment, selection, yield, and financial aid strategies. Use data reporting tools available through third parties such as the National Student Clearinghouse and data sharing consortiums to analyze trends and inform strategies throughout the enrollment cycle. Create useful data visualizations and reports to effectively communicate complex findings to both highly technical and non-technical audiences. Partner with Admissions, Financial Aid, and Marketing teams to translate data insights into actionable strategies. Maintain a strong working relationship with Institutional Technology. Acquire a deep understanding of relevant aspects of undergraduate admissions at Furman. Develop relationships with key stakeholders across campus, become familiar with data relating to admissions priorities, and stay abreast with national context (including current events, court cases, and academic research Stay up to date on the latest trends and techniques in data science and enrollment management. Maintain data security and integrity and ensure compliance with all FERPA regulations. Proactively seek and locate data, including outside benchmarks or comparative data, to support or refute proposed decisions. May need to collaborate with other organizations to gather data. Drive the collection of new data resources and refinement of existing resources. Research and propose options for the collection and warehousing of new data, particularly data that is new to the admissions ecosystem. In partnership with Institutional Research partners, determine appropriate methodology for data extraction, transformation, storage, and usage. Develop processes for loading and updating data that are efficient and re-usable. Document all data and transformations thoroughly. Set the research agenda for the department, working with the senior management team to ensure an on-going commitment to understanding and evaluating our work. Collaborate with various research teams including Institutional Research Office. Contribute positively to other duties and projects as assigned. Basic Qualifications: Master's degree in data science, math, statistics, computer science, or a related quantitative field. Minimum 2 years of experience in a data science role. Strong programming skills in data analysis languages. The ability to construct large SQL databases and query them. Expertise in building useful and complex data visualizations. Extensive experience in and strong passion for empirical research and answering hard questions with data. Preferred Qualifications Data science experience in the education sector. Previous experience working in higher education admissions or related field with organizational processes preferred. Education Requirements: Certification Requirements: Job Posting End Date (if date is blank, posting is open ended):

**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**

**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**

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

PSI Pax is an Economically Disadvantaged Woman-Owned Small Business (EDWOSB) Headquartered in Patuxent River, MD. We are recognized as key contributors to our DOD Customer's mission specializing in Information Technology, enterprise resource planning, business and financial management, acquisition, and logistics. PSI Pax is at the forefront of innovation in supporting our DOD customer's complex requirements. We help our customers nationwide coordinate services across their enterprises, enhance efficiency through process improvement, and delivering quality services within cost and on schedule. PSI Pax, Inc has an exciting opportunity for an experienced Data Scientist with experience in data visualization software, mathematical modeling, data sharing and collaboration to support Remotely our customers located in St. Inigoes, MD. Duties and Responsibilities: In support of our NAWCAD customers, the PSI Pax Data Scientist will develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. The analyst will apply: * Data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. * Visualize, interpret, and report data findings to create dynamic data reports and dashboards, and work collaboratively with stakeholders to investigate, analyze, and use predictive modeling to inform data decisions. Specific duties include: * Mine and analyze data from various databases to drive optimization and improvement of decision support. * Assess the effectiveness and accuracy of new data sources and data gathering techniques. * Develop custom data models and algorithms to apply to data sets. * Use predictive modeling to increase and optimize customer experiences and operational outcomes. * Coordinate with different functional teams to implement models and monitor outcomes. * Develop processes and tools to monitor and analyze model performance and data accuracy. * Applies analytic techniques in the evaluation of project objectives and contributes to the implementation of strategic direction. * Performs analyst functions including data collection, interviewing, data modeling, project testing, and creation of performance measurements to support project objectives. * A senior level person typically works on high-visibility, or mission-critical aspects of a given program and performs all functional duties independently. * A senior level person may oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific job. Qualifications: * At least ten (10) years relevant experience successfully working with stakeholders to investigate, analyze, plan, design, develop, implement, or evaluate solutions. Proven ability to develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. .Of the required 10 years of experience, at least four years' experience must be in data visualization software. * Secret Clearance. Candidate selected will be subject to a government background investigation and must meet eligibility requirements for access to classified information. * MS Office Suite proficiency * Data visualization software proficiency (Qlik, PowerBI) Education Requirements: * Master's degree * Bachelor's degree plus four (4) years of additional work experience related to the applicable job functions may be substituted for a master's degree. PSI Pax, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, marital status, disability, veteran status, sexual orientation, or genetic information. PSI Pax, Inc. is an E-Verify Participant.