Data Scientist jobs at Hewlett Packard Enterprise

Centre College, a private liberal arts institution, is seeking a detail-oriented and motivated Entry-Level Financial Data Analyst to join the Department of Finance. This position plays a key role in supporting data-informed decision-making across the college by analyzing trends related to institutional spending, changes in revenue sources and programmatic trends. The ideal candidate will be skilled in working with quantitative data, have a strong foundation in Excel and Tableau, and demonstrate the ability to present data in ways that are clear, compelling, and actionable. This position is ideal for a recent graduate or professional with 1-2 years of experience in data analysis, preferably in an academic or nonprofit environment. Key Responsibilities Conduct quantitative analyses of institutional data related to: Operational and departmental spending trends Changes in revenue sources and income models Financial sustainability metrics Programmatic growth trends Build and maintain Tableau dashboards to support ongoing reporting and ad hoc decision-making needs Develop Excel-based reports and models for internal stakeholders, ensuring accuracy and clarity Collaborate with departments such as Finance, Admissions, Academic Affairs, and Human Resources to gather, validate, and analyze relevant data Identify and communicate patterns, trends, and insights to support strategic planning Assist with data requests, reporting to external agencies, and accreditation processes as needed Support data governance and documentation practices to ensure consistency and transparency Required: Bachelor's degree in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related field 1-2 years of relevant experience in data analysis, reporting, or institutional research (including internships) Proficiency in Microsoft Excel (e.g., pivot tables, functions, data cleaning) Proficiency in Tableau (building dashboards, visualizations, filters, and data blending) Strong analytical, problem-solving, and organizational skills Ability to communicate technical information to non-technical audiences High level of attention to detail and data accuracy Preferred: Familiarity with higher education data environments and reporting (e.g., IPEDS, Common Data Set) Experience with SQL, R, or Python Knowledge of ERP systems such as Banner, Workday, or similar This is a full-time, on-campus position with some flexibility for remote work depending on department policy Occasional evening or weekend work may be required during peak reporting periods Please apply directly to the position at *********************************** or visit our website for complete job listings. Employment at Centre | Centre College

About GSPANN Headquartered in Milpitas, California (U.S.A.), GSPANN provides consulting and IT services to global clients, ranging from mid-size to Fortune 500 companies. With our experience in retail, high-technology, and manufacturing, we help our clients to transform and deliver business value by optimizing their IT capabilities, practices, and operations. Counting on our ten offices, including four global delivery centers, and approximately 1400 employees globally, we offer the intimacy of a boutique consultancy with capabilities of a large IT services firm. Location: South San Francisco, CA Duration: Long Term Key Responsibilities • Design and architect end-to-end data solutions leveraging Snowflake as the primary data warehouse. • Build and optimize ETL/ELT pipelines using Matillion, ensuring scalability, performance, and reliability. • Develop data models (conceptual, logical, and physical) addressing business and analytical requirements. • Define and enforce data governance, data quality, and metadata management standards. • Work closely with product, BI, analytics, and engineering teams to translate business needs into architectural blueprints. • Optimize Snowflake performance: clustering, micro-partitioning, caching, warehouse sizing, and cost governance. • Integrate data from various structured and unstructured sources. • Review existing data systems and recommend modernization opportunities. • Ensure security best practices including role-based access control, encryption, and compliance. • Create documentation, architectural diagrams, and data flow maps. • Drive best practices for CI/CD, data testing, and DevOps for data pipelines. Required Skills • 10+ years of experience in data engineering or data architecture roles. • Strong hands-on expertise in Matillion ETL/ELT (jobs, orchestration, components, transformations). • Deep understanding of Snowflake-warehouses, schema design, streams, tasks, materialized views, performance tuning. • Proficiency in SQL, data modeling, and data warehouse concepts (Kimball/Inmon). • Experience with cloud platforms (AWS/Azure/GCP), especially AWS services like S3, Lambda, EC2, IAM. • Strong understanding of batch and real-time data processing patterns. • Knowledge of data governance, master data management, and metadata frameworks. • Experience with version control (Git) and CI/CD workflows. • Ability to create architecture diagrams using tools like Lucidchart, Draw.io, or Visio. Working at GSPANN GSPANN is a diverse, prosperous, and rewarding place to work. We provide competitive benefits, educational assistance, and career growth opportunities to our employees. Every employee is valued for their talent and contribution. Working with us will give you an opportunity to work globally with some of the best brands in the industry. The company does and will take affirmative action to employ and advance in the employment of individuals with disabilities and protected veterans and to treat qualified individuals without discrimination based on their physical or mental disability status. GSPANN is an equal opportunity employer for minorities/females/veterans/disabled.

As the Data Governance Analyst, you will be responsible for the following: Responsibilities: Develop and implement data governance policies and procedures. Monitor data quality and identify improvement opportunities. Collaborate with data owners and stewards to uphold data standards. Create and maintain data dictionaries and metadata repositories. Support compliance with regulations (e.g., GDPR, CCPA) and resolve data-related issues. Respond to requests for assistance related to internally developed SQL processes. Troubleshoot data-related questions by reviewing SQL procedures and identifying optimizations or advising processes from internal app development. Collect and document requirements on Data development initiatives from business stakeholders. Collaborate with Business Intelligence and Data Engineering team to write SQL queries for ad-hoc inquiries or integration into store procedures. Customarily and regularly identifies, analyzes, and interprets trends or patterns in complex data sets. Utilizes version control tools to maintain a structured and organized workflow; collaborates with the development team and follows best practices to ensure proper documentation, testing, and deployment. Performs other related duties as assigned. Qualifications 5+ years of Data Governance Analyst with SQL programming, database systems, and Data analysis work experience. Experience working in SOX and PCI/PII environments Highly organized individual with excellent communication, organization, and analytical skills, and ability to work collaboratively with various cross- functional teams. Computer / Technical Skills: Advanced proficiency in Microsoft Office applications, especially Word, and Excel. Experience working with Databricks, AWS S3, Azure T-SQL Programming Bachelor's Degree in Computer Science, Business Administration, Information Systems, or a combination of education and equivalent work experience in a related field required.

Top Requirements A client is seeking a Data Analyst who performs data collection, analysis, validation and reporting. Designs, tests, and documents processes, SQL queries, and stored procedures. Extracts and analyzes data from various sources, including databases, manual files, and external websites. Responds to data inquiries from various groups within an organization. Creates and publishes regularly scheduled and ad hoc reports. Documents reporting requirements and processes and validates data components as required. Requires experience with relational databases and knowledge of query tools and/or statistical software. Strong analytical and organizational skills are also essential. This is primarily a data inventory accuracy position. They are making sure everything in the environment inventory wise is accurate. They will use python support and automate to ensure reporting and graphs are accurate. They are analyzing data and making sure it's accurate. Data Collection and Preparation: Gather data from various sources, including databases, APIs, and web scraping. Clean and prepare data for analysis, including handling missing values, correcting errors, and removing inconsistencies. Data Analysis and Interpretation: Perform statistical analysis and data modeling to identify trends, patterns, and anomalies. Use data analysis techniques to uncover insights and answer specific business questions. Data Visualization and Reporting: Create visualizations (charts, graphs, dashboards) to communicate findings to stakeholders. Prepare reports and presentations to present data insights in a clear and concise manner. Collaboration and Communication: Work with cross-functional teams to understand their data needs and provide relevant insights. Communicate findings and recommendations to stakeholders in a clear and actionable way. Data Quality and Integrity: Ensure the accuracy, consistency, and integrity of data. Develop and maintain data quality standards and processes. Problem Solving and Decision Making: Identify areas of concern and suggest solutions based on data analysis. Support data-driven decision-making by providing insights and recommendations Beacon Hill is an equal opportunity employer and individuals with disabilities and/or protected veterans are encouraged to apply. California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. If you would like to complete our voluntary self-identification form, please click here or copy and paste the following link into an open window in your browser: ***************************************** Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records. Company Profile: Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs. Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles. Learn more about Beacon Hill and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting ************* Benefits Information: Beacon Hill offers a robust benefit package including, but not limited to, medical, dental, vision, and federal and state leave programs as required by applicable agency regulations to those that meet eligibility. Upon successfully being hired, details will be provided related to our benefit offerings. We look forward to working with you. Beacon Hill. Employing the Future™

*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.

Enable data-driven decision making and in-time health monitoring of our Client's products by building and deploying product and feature specific analytics capabilities. Support product teams with the complex design, development and implementation of automated reporting and dashboards. Produce complex ad hoc reports and analytics. Develop real-time analytics for measuring product health, usage and customer value. MAJOR DUTIES AND RESPONSIBILITIES Design, develop, and implement complex reports and analytics Leverage various data and technology resources to augment analysis Expertly use analytical tools to provide insight and make recommendations Use advanced data visualizations techniques to provide concise and compelling summary of analysis findings in reports and presentations Interact with various stakeholders to understand their business needs, communicate project status and develop relationships to ensure satisfaction Be a thought partner within the group, supporting the developments of insights, processes, and information that is valued by the business QA and validate new and existing reports and analytics for proper and efficient execution and adherence to business and technical requirements Write SQL code that meets the production requirements and design specifications Provide ad-hoc analysis to address specific business questions from stakeholder groups Participate in visualization design and deployment review sessions to ensure all technical and functional requirements have been met Maintain accurate documentation of reporting processes and monitor and resolve any failures Mentor and lead junior developers in both design and technology REQUIRED QUALIFICATIONS Skills/Abilities and Knowledge Strong ability to analyze, interpret and present data Knowledgeable of Agile development methodologies Strong understanding of advanced analytics processes and reporting design principles Ability to communicate complex technical concepts A proven track record of development within a variety of technology stacks specific to Big Data pipelines- Experience with SCALA, Python and/or SQL preferred Good working knowledge of development strategies, project management and business and technical consultancy Proven track record for strong problem resolution techniques, ability to find solutions Strong communication skills, verbal and written, for internal and external customers a must Ability to communicate effectively orally and electronically Ability to make decisions and solve problems while working under pressure Ability to manage and deliver against several initiatives simultaneously Ability to motivate others Ability to prioritize and organize effectively Ability to read, write, speak and understand English Desired Skills and Experience JOB SUMMARY Enable data-driven decision making and in-time health monitoring of our Client's products by building and deploying product and feature specific analytics capabilities. Support product teams with the complex design, development and implementation of automated reporting and dashboards. Produce complex ad hoc reports and analytics. Develop real-time analytics for measuring product health, usage and customer value. MAJOR DUTIES AND RESPONSIBILITIES Design, develop, and implement complex reports and analytics Leverage various data and technology resources to augment analysis Expertly use analytical tools to provide insight and make recommendations Use advanced data visualizations techniques to provide concise and compelling summary of analysis findings in reports and presentations Interact with various stakeholders to understand their business needs, communicate project status and develop relationships to ensure satisfaction Be a thought partner within the group, supporting the developments of insights, processes, and information that is valued by the business QA and validate new and existing reports and analytics for proper and efficient execution and adherence to business and technical requirements Write SQL code that meets the production requirements and design specifications Provide ad-hoc analysis to address specific business questions from stakeholder groups Participate in visualization design and deployment review sessions to ensure all technical and functional requirements have been met Maintain accurate documentation of reporting processes and monitor and resolve any failures Mentor and lead junior developers in both design and technology REQUIRED QUALIFICATIONS Skills/Abilities and Knowledge Strong ability to analyze, interpret and present data Knowledgeable of Agile development methodologies Strong understanding of advanced analytics processes and reporting design principles Ability to communicate complex technical concepts A proven track record of development within a variety of technology stacks specific to Big Data pipelines- Experience with SCALA, Python and/or SQL preferred Good working knowledge of development strategies, project management and business and technical consultancy Ability to adapt, learn and continue to expand in Cable and IP product and system knowledge Proven track record for strong problem resolution techniques, ability to find solutions Strong communication skills, verbal and written, for internal and external customers a must Ability to communicate effectively orally and electronically Ability to make decisions and solve problems while working under pressure Ability to manage and deliver against several initiatives simultaneously Ability to motivate others Ability to prioritize and organize effectively Ability to read, write, speak and understand English Beacon Hill is an equal opportunity employer and individuals with disabilities and/or protected veterans are encouraged to apply. California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. If you would like to complete our voluntary self-identification form, please click here or copy and paste the following link into an open window in your browser: ***************************************** Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records. Company Profile: Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs. Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles. Learn more about Beacon Hill and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting ************* Benefits Information: Beacon Hill offers a robust benefit package including, but not limited to, medical, dental, vision, and federal and state leave programs as required by applicable agency regulations to those that meet eligibility. Upon successfully being hired, details will be provided related to our benefit offerings. We look forward to working with you. Beacon Hill. Employing the Future™

**Dean of Research, Stanford, California, United States** Research Post Date Dec 13, 2024 Requisition # 105424 This is a 3-year fixed term appointment. **Stanford Data Science** This position is part of a new initiative incubated within Stanford Data Science, part of the Vice Provost for Research / Dean of Research. Stanford Data Science (SDS) is a dynamic and rapidly growing unit within the VP/Dean of Research. For more than five years, SDS has sought to advance data science and its application to all fields of study. Our community ranges broadly across all seven schools on campus, consisting of esteemed alumni, world class faculty, post-doctoral fellows and PhD students, dynamic staff and administrators. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish their mission conducting cutting-edge research and innovation around how we learn from data, the tools we use, and the new methods needed to tackle the data-intensive future. **POSITION SUMMARY** Stanford University has made a strategic investment in Marlowe, a GPU-centric high-performance computing instrument designed to enable large-scale, data-intensive research. Supporting a wide range of disciplines, Marlowe facilitates sophisticated machine learning applications, including large-language models. The Research Data Scientist will play a critical role in this initiative, leveraging their expertise in computational research to develop and optimize workflows and applications that unlock Marlowe's capabilities. This role requires a deep understanding of computational and data science, machine learning, and the scientific process. It also demands the ability to leverage high-performance GPU computing to efficiently process and analyze large datasets. The successful candidate will collaborate closely with Stanford faculty and research groups to design, implement, and refine GPU-accelerated data processing pipelines. They will also contribute to scientific codes using machine learning, statistical analysis, and computation to address complex research challenges. Additionally, the data scientist will contribute to the development of novel computational methods ranging from biological data analysis to simulation of physical systems via digital twins. Beyond technical expertise, the Research Data Scientist will act as a bridge between Marlowe and the broader research community. They will guide researchers in adapting their applications to Marlowe's GPU-powered infrastructure by providing technical consultation, creating training materials, and leading workshops. The ideal candidate will have a strong background in both data science and GPU-centric computational techniques, combined with a passion for fostering collaboration and pushing the boundaries of interdisciplinary research. This position offers an exceptional opportunity to drive transformational research and establish Marlowe as a cornerstone of Stanford's efforts in pioneering discovery. Remote work for the Research Data Scientist position will be considered. The Research Data Scientist may be asked to attend certain in-person work events during the year regardless of remote status. **CORE DUTIES** **:** **Code Architecture for GPU Computation** + Collaborate with Principal Investigators (PIs) and research groups to architect and optimize GPU-accelerated pipelines. + Develop innovative computational methodologies + Co-author resulting research publications. **Algorithm Development and Data Management** + Design advanced data movement strategies to minimize memory bottlenecks between CPU and GPU, including real-time data streaming methods for scientific applications. + Partner with research teams to design novel algorithms and develop high-quality, reusable software to accelerate complex research projects. **Research Support and Software Infrastructure** + Assist PIs in applying for supercomputing resources at national centers once projects are scaled and workloads are appropriate. Offer guidance on maximizing efficiency of large-scale computational experiments. + Install, configure, and maintain software stacks for core research functions. **Training and Mentorship** + Design and lead hands-on workshops, and interdisciplinary courses focused on GPU-centric research in fields such as computational biology, NLP and image analysis. + Mentor graduate students, postdocs and early-career researchers in computational techniques and research methodologies. **Open Science and Research Continuity** + Integrate open science principles into research workflows, including software for data and computational provenance. + Design systems to manage inputs, outputs, and provenance to meet NIH, NSF, and OSTP mandates. + Develop tools and workflows to ensure the long-term viability of code and tools used by students and postdocs for future research development. *Other duties as assigned. **DESIRED QUALIFICATIONS** **:** + Experience supervising technical staff including training, mentoring and coaching. + Experience developing and writing grant proposals. + A minimum of five years at an Academic Staff - Researcher rank or have equivalent experience + Extensive publication list including first author publications. **Education & Experience (Required)** : + Ph.D. in a computational or data-intensive related field or equivalent + Comfortable running and troubleshooting jobs in a batch scheduled environment + Considerable experience with Linux **Pay Range** **:** This role is open to candidates anywhere in the United States. Stanford University hasfive Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $142,000 to $200,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form._ _Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._ Additional Information + **Schedule: Full-time** + **Job Code: 6446** + **Employee Status: Fixed-Term** + **Grade: R99** + **Requisition ID: 105424** + **Work Arrangement : Hybrid Eligible, Remote Eligible, On Site**

**Graduate School of Education, Stanford, California, United States** Information Analytics Post Date Oct 16, 2025 Requisition # 107547 TheStanford Center on Early Childhood, an initiative of the Stanford Accelerator for Learning, seeks a full time Data Scientist to join the RAPID Survey Projectteam. The Data Scientist will oversee the work of a team of analysts, establishing and maintaining quality standards, reviewing outputs, and ensuring that research processes are executed with precision, consistency, and scientific rigor. Note: This position is a 1-year fixed term appointment that may be renewed based on performance and funding. This position is eligible for a remote work agreement and travel is required for convenings and events. Interested applicants should submit a resume and a cover letter describing why they are interested in this position at this stage of their career. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. **ABOUT US** Housed at Stanford Graduate School of Education, the Stanford Accelerator for Learningis the first university-wide initiative connecting scholars across disciplines and with external partners to bridge research, innovation, practice, and policy, and bring quality scalable and equitable learning experiences to all learners, throughout the lifespan. The Stanford Accelerator for Learning focuses on learning challenges most in need of new discoveries, evidence, and solutions and where we believe Stanford can make the most difference. Those include: adult & workforce learning, digital learning, early childhood education and development, equity in learning, learning differences, and policy & systems change. The Stanford Center on Early Childhood (SCEC) is an initiative of the Stanford Accelerator for Learning. The SCEC leverages the current moment of revolutionary science and fosters deep omnidirectional collaboration across sectors, seeking to change the way that research in early childhood is conducted, communicated, and utilized, with the overarching goal that each and every child thrives from the start. **POSITION SUMMARY** RAPID began as a program of two national surveys of households with children under age 6 and the child care workforce. Led by Philip Fisher, Stanford Center on Early Childhood Director, the RAPID National Survey administers monthly surveys on a rapid-cycle schedule, and has collected data from more than 20,000 households and 12,000 child care providers in all 50 states. The survey and data inform policy, advocacy, academic, parent and practitioner audiences on the experiences, challenges, and strengths of parents of young children and child care providers. The goal is to support parent- and provider-driven policies and programs that equitably and effectively serve families, providers, and young children. RAPID is now implemented in community, state, and national contexts, working in partnership with local and state organizations. The RAPID datasets are extensive and quickly growing, and include both quantitative and qualitative data. The Data Scientist will oversee analyses of all data collected by the RAPID Survey Project. The person in this role will provide oversight and guidance to the RAPID Data Analysts, help strengthen the research process, and review and ensure accuracy and quality of data products. They will guide analysts through review, reflection, and constructive feedback on analytic approaches and outputs and provide final sign-off to ensure the team's work is rigorous, reliable, and high quality. The Data Scientist will be a resource in the production of data dissemination products, such as visualizations, fact sheets, and data briefs. The Data Scientist will maintain rigorous methodological standards, review work, support analysts, and strengthen both the quality of individual products and the skills of the research team. The successful candidate will bring extensive methodological experience, technical skill with analysis tools and software, and content knowledge in early childhood development, education, policy, and/or advocacy. While this role will provide oversight and mentorship, it will not include direct supervision. The Data Scientist will work independently and with minimal supervision under the direction of the Director of the RAPID Survey Project and in collaboration with RAPID Program Managers. **Your primary responsibilities will include:** + Lead and own organization-wide data initiatives (e.g. models, frameworks, platforms, dashboards). + Guide, coach and mentor a high performing team of analysts. + Identify, leverage and partner with external stakeholders. + Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. + Determine additional data collection and reporting requirements. Design and customize reports based upon data in the database. Oversee and monitor compliance with processes that ensure high-quality data. + Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. + Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. + Serve as a resource for non-routine inquiries such as requests for statistics or surveys. + Provide documentation based on audit and reporting criteria to investigators and research staff. **To be successful in this position, you will bring:** + Bachelor's degree and five years of relevant experience or combination of education and relevant experience. + Experience in a quantitative discipline such as economics, finance, statistics or engineering. + Ability to direct the work of others, for jobs requiring supervision. + Relevant subject matter knowledge. + Substantial experience with MS Office and analytical programs. + Excellent writing and analytical skills. + Ability to prioritize workload. **Preferred Education & Experience:** + Doctoral degree or equivalent in relevant field + Content expertise in early childhood, education, policy, and/or advocacy + Advanced methodological, statistical, and analytic skills + Experience with survey research + Ability to coach and mentor analysts + Ability to work in a matrixed team environment, collaborating with peers with leadership responsibilities, senior leadership and junior team members + Flexible and creative thinking about data analysis + Experience working with large data sets + Experience working with a geographically distributed team _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._ **Physical Requirements*:** + Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. + Occasionally use a telephone. + Rarely writing by hand. The expected pay range for this position is$91,699 to $138,688per 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. **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,******************************* **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 andunique 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! We pride ourselves in being aculturethat encourages and empowers you. _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at_ _************************_ _. For all other inquiries, please submit a_ _contact form_ _._ _Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._ **How to Apply** : We invite you to apply for this position by clicking on the "Apply for Job" button. To be considered, you must submit a cover letter and résumé along with your online application. + _Finalist must successfully complete a background check prior to working at Stanford University._ + _This is a fixed-term position with an end date of one year and is renewable based on performance and funding_ + _Candidates must be eligible to work in the US. Visa sponsorship is not available for this position._ Additional Information + **Schedule: Full-time** + **Job Code: 4753** + **Employee Status: Fixed-Term** + **Grade: K** + **Requisition ID: 107547** + **Work Arrangement : Remote Eligible**

The Stanford Center on Early Childhood, an initiative of the Stanford Accelerator for Learning, seeks a full time Data Scientist to join the RAPID Survey Project team. The Data Scientist will oversee the work of a team of analysts, establishing and maintaining quality standards, reviewing outputs, and ensuring that research processes are executed with precision, consistency, and scientific rigor. Note: This position is a 1-year fixed term appointment that may be renewed based on performance and funding. This position is eligible for a remote work agreement and travel is required for convenings and events. Interested applicants should submit a resume and a cover letter describing why they are interested in this position at this stage of their career. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. ABOUT US Housed at Stanford Graduate School of Education, the Stanford Accelerator for Learning is the first university-wide initiative connecting scholars across disciplines and with external partners to bridge research, innovation, practice, and policy, and bring quality scalable and equitable learning experiences to all learners, throughout the lifespan. The Stanford Accelerator for Learning focuses on learning challenges most in need of new discoveries, evidence, and solutions and where we believe Stanford can make the most difference. Those include: adult & workforce learning, digital learning, early childhood education and development, equity in learning, learning differences, and policy & systems change. The Stanford Center on Early Childhood (SCEC) is an initiative of the Stanford Accelerator for Learning. The SCEC leverages the current moment of revolutionary science and fosters deep omnidirectional collaboration across sectors, seeking to change the way that research in early childhood is conducted, communicated, and utilized, with the overarching goal that each and every child thrives from the start. POSITION SUMMARY RAPID began as a program of two national surveys of households with children under age 6 and the child care workforce. Led by Philip Fisher, Stanford Center on Early Childhood Director, the RAPID National Survey administers monthly surveys on a rapid-cycle schedule, and has collected data from more than 20,000 households and 12,000 child care providers in all 50 states. The survey and data inform policy, advocacy, academic, parent and practitioner audiences on the experiences, challenges, and strengths of parents of young children and child care providers. The goal is to support parent- and provider-driven policies and programs that equitably and effectively serve families, providers, and young children. RAPID is now implemented in community, state, and national contexts, working in partnership with local and state organizations. The RAPID datasets are extensive and quickly growing, and include both quantitative and qualitative data. The Data Scientist will oversee analyses of all data collected by the RAPID Survey Project. The person in this role will provide oversight and guidance to the RAPID Data Analysts, help strengthen the research process, and review and ensure accuracy and quality of data products. They will guide analysts through review, reflection, and constructive feedback on analytic approaches and outputs and provide final sign-off to ensure the team's work is rigorous, reliable, and high quality. The Data Scientist will be a resource in the production of data dissemination products, such as visualizations, fact sheets, and data briefs. The Data Scientist will maintain rigorous methodological standards, review work, support analysts, and strengthen both the quality of individual products and the skills of the research team. The successful candidate will bring extensive methodological experience, technical skill with analysis tools and software, and content knowledge in early childhood development, education, policy, and/or advocacy. While this role will provide oversight and mentorship, it will not include direct supervision. The Data Scientist will work independently and with minimal supervision under the direction of the Director of the RAPID Survey Project and in collaboration with RAPID Program Managers. Your primary responsibilities will include: * Lead and own organization-wide data initiatives (e.g. models, frameworks, platforms, dashboards). * Guide, coach and mentor a high performing team of analysts. * Identify, leverage and partner with external stakeholders. * Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. * Determine additional data collection and reporting requirements. Design and customize reports based upon data in the database. Oversee and monitor compliance with processes that ensure high-quality data. * Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. * Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. * Serve as a resource for non-routine inquiries such as requests for statistics or surveys. * Provide documentation based on audit and reporting criteria to investigators and research staff. To be successful in this position, you will bring: * Bachelor's degree and five years of relevant experience or combination of education and relevant experience. * Experience in a quantitative discipline such as economics, finance, statistics or engineering. * Ability to direct the work of others, for jobs requiring supervision. * Relevant subject matter knowledge. * Substantial experience with MS Office and analytical programs. * Excellent writing and analytical skills. * Ability to prioritize workload. Preferred Education & Experience: * Doctoral degree or equivalent in relevant field * Content expertise in early childhood, education, policy, and/or advocacy * Advanced methodological, statistical, and analytic skills * Experience with survey research * Ability to coach and mentor analysts * Ability to work in a matrixed team environment, collaborating with peers with leadership responsibilities, senior leadership and junior team members * Flexible and creative thinking about data analysis * Experience working with large data sets * Experience working with a geographically distributed team 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. Physical Requirements*: * Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. * Occasionally use a telephone. * Rarely writing by hand. The expected pay range for this position is $91,699 to $138,688 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. 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, ******************************* 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! We pride ourselves in being a culture that encourages and empowers you. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at ************************. For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. How to Apply: We invite you to apply for this position by clicking on the "Apply for Job" button. To be considered, you must submit a cover letter and résumé along with your online application. * Finalist must successfully complete a background check prior to working at Stanford University. * This is a fixed-term position with an end date of one year and is renewable based on performance and funding * Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. Additional Information * Schedule: Full-time * Job Code: 4753 * Employee Status: Fixed-Term * Grade: K * Requisition ID: 107547 * Work Arrangement : Remote Eligible

**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., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world._ **Job Summary:** We are seeking a Lead Data Scientist to act as a player/coach, guiding a high-performing team in building the next generation of intelligent analytics for Cat Foresight. This role combines hands-on technical expertise with leadership responsibilities, driving innovation in condition monitoring with predictive and attentional models that enable advanced insights and efficient decision-making. **What You Will Do:** + Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models. + Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. + Leading to define requirements and scope of data analysis; presenting and reporting possible business insights to management using data visualization technologies. + Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. **What You Will Have:** + **Business Statistics:** Extensive experience with 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. + **Accuracy and Attention to Detail:** Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision. + **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. + **Machine Learning:** Extensive knowledge of principles, technologies and algorithms of machine learning (particularly recommendation/attentional models); ability to develop, implement and deliver related systems, products and services. + **Programming Languages:** Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages. + **Query and Database Access Tools:** Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. + **Requirements Analysis:** Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. **Considerations for Top Candidates:** + Typically, a Masters or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree + Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges. + Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks. + Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action. + Working experience with heavy equipment engineering and/or condition monitoring. + In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field + Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively. **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 not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at **************************** **Posting Dates:** December 5, 2025 - December 16, 2025 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.

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? \uD83C\uDF0E Massive reach: 60M+ users, 1B+ interactions per week \uD83E\uDDE0 Cutting-edge tech: Generative AI, adaptive learning, cognitive science \uD83D\uDCC8 Strong momentum: Top-tier investors, sustainable business, real traction \uD83C\uDFAF Mission-first: Work that makes a difference in people's lives \uD83E\uDD1D Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At AoPS, data sits at the heart of how we grow and deliver our mission. We serve tens of thousands of students around the world, generating data about how families discover us, how students learn, and how our operations scale. Yet, like our curriculum and teaching, the true value of our data comes from how well we can translate it into actionable insight. AoPS is unique because it brings together academics, operations, and technology under one roof. We design our own curriculum, run physical academies, deliver online courses, and build the platforms that power it all. This created a rich and complex data environment--one that grew organically as the business grew and we are working on creating a more cohesive stack so every business line runs on the same system. Your job will be to turn raw data into clear, actionable insights, while proactively identifying areas for improvement. We are hiring a Data Scientist to support our Academics department and course experience team with learning research, advanced analytics, and experimentation. In this role, you will bridge the gap between the data that our curriculum developers and customers generate and the evidence we need to improve learning outcomes, instructional design, and student experience. You will own analytic frameworks, build statistical and machine learning models, and collaborate closely with curriculum developers, product teams, and senior academic leadership. The Data Scientist (Academics) will: Take ownership of learning analysis and applied research for the Academics department, ensuring analyses, models, and data tools are accurate and aligned with strategic goals. Partner with stakeholders to translate academic, curriculum, and product questions into testable hypotheses, measurable outcomes, and business decisions. Work with the data team to define, govern, and validate the metrics, features, and data structures needed to support consistent, science-driven analyses. Use SQL and Python to power analyses, modeling, reproducible research, and data-driven recommendations. Proactively investigate patterns and anomalies in learning data to uncover meaningful trends, identify drivers of student outcomes, and separate actionable insights from background noise. Champion data literacy and effective analytic practices across the organization. Completes other tasks and responsibilities, as assigned. The ideal candidate has: 2-4 years of experience in data science, applied statistics, quantitative research, or similar analytical role with a track record of driving meaningful impact. Proficiency in Python for data analysis, statistical modeling, and machine learning (using packages like pandas or polars for data manipulation, scikit-learn or statsmodels for model development, and PySpark or Dask for distributed computing). Experience using tools and best practices for reproducible research (e.g., version-controlled analysis, environment management, documented workflows) and with MLOps to ensure analyses and models are stable, repeatable, and maintainable. Strong understanding of concepts relevant to learning research, such as experimental design, hypothesis testing, feature engineering, regression modeling, causal inference, clustering, and evaluating data quality in educational or behavioral datasets. Experience using SQL data warehouses such as Redshift, Snowflake, or BigQuery to gather and transform data for analysis. We use Redshift and dbt. Experience using data visualization or BI tools like Lightdash, PowerBI, Tableau, or Looker. We use Lightdash. Excellent communication skills with the ability to gather requirements from stakeholders, prioritize potential projects, and translate complex quantitative findings into actionable insights for the academics team. Why Join AoPS: This is a hybrid full-time position based at our headquarters in San Diego, CA. The full salary range for this position is 137.8k-169.6k. Here are some things you can look forward to: Impact: Transform learning data into evidence-based insights that help us create more effective courses and better outcomes for the next generation of problem solvers. Flexibility: Casual work environment with a hybrid work week and flexible scheduling Benefits: Multiple options for Medical, Dental and Vision plans Future Planning: 401K with company match Quality of Life: PTO Plan and supportive leadership that gives you the work-life balance you deserve Ease of Transition: Relocation bonus (if currently located outside of San Diego) Background Check: Please note that employment is contingent on the successful completion of a background check. Work Authorization: Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B. About AoPS: Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the country's top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem solving curriculum into more subjects, such as language arts, science, and computer science.

At AoPS, data sits at the heart of how we grow and deliver our mission. We serve tens of thousands of students around the world, generating data about how families discover us, how students learn, and how our operations scale. Yet, like our curriculum and teaching, the true value of our data comes from how well we can translate it into actionable insight. AoPS is unique because it brings together academics, operations, and technology under one roof. We design our own curriculum, run physical academies, deliver online courses, and build the platforms that power it all. This created a rich and complex data environment--one that grew organically as the business grew and we are working on creating a more cohesive stack so every business line runs on the same system. Your job will be to turn raw data into clear, actionable insights, while proactively identifying areas for improvement. We are hiring a Data Scientist to support our Academics department and course experience team with learning research, advanced analytics, and experimentation. In this role, you will bridge the gap between the data that our curriculum developers and customers generate and the evidence we need to improve learning outcomes, instructional design, and student experience. You will own analytic frameworks, build statistical and machine learning models, and collaborate closely with curriculum developers, product teams, and senior academic leadership. The Data Scientist (Academics) will: Take ownership of learning analysis and applied research for the Academics department, ensuring analyses, models, and data tools are accurate and aligned with strategic goals. Partner with stakeholders to translate academic, curriculum, and product questions into testable hypotheses, measurable outcomes, and business decisions. Work with the data team to define, govern, and validate the metrics, features, and data structures needed to support consistent, science-driven analyses. Use SQL and Python to power analyses, modeling, reproducible research, and data-driven recommendations. Proactively investigate patterns and anomalies in learning data to uncover meaningful trends, identify drivers of student outcomes, and separate actionable insights from background noise. Champion data literacy and effective analytic practices across the organization. Completes other tasks and responsibilities, as assigned. The ideal candidate has: 2-4 years of experience in data science, applied statistics, quantitative research, or similar analytical role with a track record of driving meaningful impact. Proficiency in Python for data analysis, statistical modeling, and machine learning (using packages like pandas or polars for data manipulation, scikit-learn or statsmodels for model development, and PySpark or Dask for distributed computing). Experience using tools and best practices for reproducible research (e.g., version-controlled analysis, environment management, documented workflows) and with MLOps to ensure analyses and models are stable, repeatable, and maintainable. Strong understanding of concepts relevant to learning research, such as experimental design, hypothesis testing, feature engineering, regression modeling, causal inference, clustering, and evaluating data quality in educational or behavioral datasets. Experience using SQL data warehouses such as Redshift, Snowflake, or BigQuery to gather and transform data for analysis. We use Redshift and dbt. Experience using data visualization or BI tools like Lightdash, PowerBI, Tableau, or Looker. We use Lightdash. Excellent communication skills with the ability to gather requirements from stakeholders, prioritize potential projects, and translate complex quantitative findings into actionable insights for the academics team. Why Join AoPS: This is a hybrid full-time position based at our headquarters in San Diego, CA. The full salary range for this position is 137.8k-169.6k. Here are some things you can look forward to: Impact: Transform learning data into evidence-based insights that help us create more effective courses and better outcomes for the next generation of problem solvers. Flexibility: Casual work environment with a hybrid work week and flexible scheduling Benefits: Multiple options for Medical, Dental and Vision plans Future Planning: 401K with company match Quality of Life: PTO Plan and supportive leadership that gives you the work-life balance you deserve Ease of Transition: Relocation bonus (if currently located outside of San Diego) Background Check: Please note that employment is contingent on the successful completion of a background check. Work Authorization: Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B. About AoPS: Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the country's top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem solving curriculum into more subjects, such as language arts, science, and computer science.

**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., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world._ **Job Summary:** We are seeking a Lead Data Scientist to act as a player/coach, guiding a high-performing team in building the next generation of intelligent analytics for Cat Foresight. This role combines hands-on technical expertise with leadership responsibilities, driving innovation in condition monitoring with predictive and attentional models that enable advanced insights and efficient decision-making. **What You Will Do:** + Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models. + Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. + Leading to define requirements and scope of data analysis; presenting and reporting possible business insights to management using data visualization technologies. + Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. **What You Will Have:** + **Business Statistics:** Extensive experience with 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. + **Accuracy and Attention to Detail:** Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision. + **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. + **Machine Learning:** Extensive knowledge of principles, technologies and algorithms of machine learning (particularly recommendation/attentional models); ability to develop, implement and deliver related systems, products and services. + **Programming Languages:** Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages. + **Query and Database Access Tools:** Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. + **Requirements Analysis:** Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. **Considerations for Top Candidates:** + Typically, a Masters or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree + Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges. + Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks. + Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action. + Working experience with heavy equipment engineering and/or condition monitoring. + In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field + Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively. **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 not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at **************************** **Posting Dates:** December 5, 2025 - December 16, 2025 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., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world. Job Summary: We are seeking a Lead Data Scientist to act as a player/coach, guiding a high-performing team in building the next generation of intelligent analytics for Cat Foresight. This role combines hands-on technical expertise with leadership responsibilities, driving innovation in condition monitoring with predictive and attentional models that enable advanced insights and efficient decision-making. What You Will Do: * Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models. * Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. * Leading to define requirements and scope of data analysis; presenting and reporting possible business insights to management using data visualization technologies. * Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. What You Will Have: * Business Statistics: Extensive experience with 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. * Accuracy and Attention to Detail: Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision. * 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. * Machine Learning: Extensive knowledge of principles, technologies and algorithms of machine learning (particularly recommendation/attentional models); ability to develop, implement and deliver related systems, products and services. * Programming Languages: Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages. * Query and Database Access Tools: Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. * Requirements Analysis: Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Considerations for Top Candidates: * Typically, a Masters or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree * Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges. * Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks. * Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action. * Working experience with heavy equipment engineering and/or condition monitoring. * In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field * Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively. 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 not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at **************************** Posting Dates: December 5, 2025 - December 16, 2025 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:

**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**

Details Information Department Acad Prog / Student Aff (LCB) Position Title Senior Research Associate I Job Title National Park Service Long-Term Monitoring Data Scientist (Internal Employment Opportunity) Appointment Type Academic Faculty Job Location Bend Benefits Eligible Full-Time, benefits eligible Remote or Hybrid option? Job Summary This is an Internal Employment Opportunity. Oregon State University-Cascades, Human and Ecosystem Resilience and Sustainability Lab, invites applications for a full-time (1.00 FTE), 12-month, fixed-term, National Park Service Long-Term Monitoring Data Scientist position. Reappointment is at the discretion of the Dean of Academic Affairs. This position is located in Bend, Oregon. The Oregon State University Human and Ecosystem Resilience and Sustainability (HERS) Lab is a research institution that delivers expertise in ecological assessment and monitoring, restoration, and native plant materials to support evidence-based conservation for the 21st century. The HERS Lab hosts the Upper Columbia Basin Inventory and Monitoring Network of the National Park Service (UCBN), East Cascades Native Plant Hub (ECNPH), Wildlife Connectivity Hub and the Northwestern Bat Hub on the OSU Cascades campus in Bend, OR. The Lab is hiring one Research Associate for a three-year full-time appointment, with a possibility for extension subject to availability of funds and/or project requirements. This position serves as the Research Associate at OSU-HERS to support an existing project in collaboration with the National Park Service Inventory and Monitoring Division. The project entails working with staff representatives for NPS I&M and HERS Lab to design and implement a coordinated data analysis plan for pre-existing long-term monitoring datasets collected over the last 20 years for bats and other wildlife, forest, shrubland, rare plant, and wetland communities, freshwater and marine ecosystems, and wildfire and climate impacts on these and other natural resources in national parks. The Research Associate will use R and Python programming languages, GIS, and related tools to establish and conduct complex and reproducible analysis workflows, summarize information using maps, graphs, tables, and statistical tools, and report findings in technical reports, peer-reviewed manuscripts, and conference presentations. The Research Associate will make recommendations to NPS I&M for analysis interpretation and translation into management strategies, identify needs for and contribute to updates and revisions to existing data collection and analysis protocols associated with projects, and assist analysis team members in maintaining a dynamic program of quantitative ecological discovery applied to conservation decision-making in and around National Parks and protected areas. The Research Associate will report to the lab director/project PI and will work closely with the National Park Service and HERS Lab team members to prioritize and complete project tasks. Why OSU? Why OSU-Cascades? Founded in 2001, Oregon State University - Cascades brings higher education to Central Oregon while leveraging the excellence of a land grant and top-tier research university in one of the most dynamic cities in the Pacific Northwest. Located near downtown Bend and surrounded by mountains, forest and high desert, OSU-Cascades offers small classes that accelerate faculty-student mentoring and experiential learning in an innovative environment that accelerates opportunities for student, faculty and staff development and advancement. With a 128-acre campus under development and a goal to grow to 3,000 to 5,000 undergraduate and graduate students, OSU-Cascades is delivering on a 40-year grassroots community effort to bring the benefits of a comprehensive university to the region: Student Body and Alumni Student and alumni data is as of fall 2024. * 1,370 undergraduate and graduate students * 78% from Oregon * 42% Central Oregonians * 24% first generation students * 23% students of color * 19 students on average per class * 95% of 2023 graduates employed or in graduate school within 6 months of graduation * 5,625 degrees awarded since founding Academic Majors A growing portfolio of degree programs at OSU-Cascades is designed to meet regional and state industry workforce and economic needs. Research Research underway at OSU-Cascades focuses on challenges in energy, the environment, human wellness, social justice and society. Labs at OSU-Cascades include the FORCE biomechanics lab, the Laboratory for the American Conversation and the Sustainable Tourism Laboratory. Campus Development OSU-Cascades' campus development is driven by an award-winning long range development plan and engineering efforts that are transforming brownfields into a thriving university campus. Sustainability plans include net zero energy, waste and water goals. Initial sustainability efforts are seen in geothermal sourced energy to heat and cool buildings, and native plant landscaping requiring little or no irrigation. In addition to an academic core, campus plans includes a 24-acre innovation district, mid-market affordable housing, and 10-miles of walking/biking trails. Working for Oregon State University is so much more than a job! Oregon State University is a dynamic community of dreamers, doers, problem-solvers and change-makers. We don't wait for challenges to present themselves - we seek them out and take them on. We welcome students, faculty and staff from every background and perspective into a community where everyone feels seen and heard. We have deep-rooted mindfulness for the natural world and all who depend on it, and together, we apply knowledge, tools and skills to build a better future for all. FACTS: * Top 1.4% university in the world * More research funding than all public universities in Oregon combined * 1 of 3 land, sea, space and sun grant universities in the U.S. * 2 campuses, 11 colleges, 12 experiment stations, and Extension programs in all 36 counties * 7 cultural resource centers that offer education, celebration and belonging for everyone * 100+ undergraduate degree programs, 80+ graduate degrees plus hundreds of minor options and certificates * 35k+ students including more than 2.3k international students and 10k students of color * 217k+ alumni worldwide * For more interesting facts about OSU visit: ***************************** Locations: Oregon State has a statewide presence with campuses in Corvallis and Bend, the OSU Portland Center and the Hatfield Marine Science Center on the Pacific Coast in Newport. Oregon State's beautiful, historic and state-of-the-art main campus is located in one of America's best college towns. Corvallis is located close to the Pacific Ocean, the Cascade mountains and Oregon wine country. Nestled in the heart of the Willamette Valley, this beautiful city offers miles of mountain biking and hiking trails, a river perfect for boating or kayaking and an eclectic downtown featuring local cuisine, popular events and performances. Total Rewards Package: Oregon State University offers a comprehensive benefits package with benefits eligible positions that is designed to meet the needs of employees and their families including: * Medical, Dental, Vision and Basic Life. OSU pays 95% of premiums for you and your eligible dependents. * Free confidential mental health and emotional support services, and counseling resources. * Retirement savings paid by the university. * A generous paid leave package, including holidays, vacation and sick leave. * Tuition reduction benefits for you or your qualifying dependents at OSU or the additional six Oregon Public Universities. * Robust Work Life programs including Dual Career assistance resources, flexible work arrangements, a Family Resource Center, Affinity Groups and an Employee Assistance Program. * Optional lifestyle benefits such as pet, accident, and critical illness insurance, giving you peace of mind and the support you need to thrive in all aspects of your life. Oregon State University is deeply committed to the principles of a Health Promoting University. This commitment drives a collaborative approach across OSU's safety and well-being programs, reducing silos and coordinating efforts to enhance employee safety and well-being. By prioritizing resources that support the health of both employees and students, OSU fosters a culture of care and a healthier campus environment where everyone can thrive. Future and current OSU employees can use the Benefits Calculator to learn more about the full value of the benefits provided at OSU. Key Responsibilities This position is responsible for the day-to-day coordination and implementation of quantitative analyses and communication of findings for a portfolio of long-term monitoring projects in and around National Parks and protected areas. 70% Data analysis * Participates in NPS research study design teams, often as an expert technical leader on experimental and/or monitoring design trade-offs and best practices. * Responsible for complex study designs and analysis. This will include the use of statistical randomization procedures such as the Generalized Random Tessellation Stratified (GRTS) design approach commonly used in contemporary ecological studies where robust inference and analytical flexibility is required. Analyses of long-term trends in populations and ecosystems where rotating panel designs and unequal-probability design weights need to be accounted for, as well as challenges including imperfect detection and missing data. Approaches required may include Bayesian methods with informative priors. * Interprets and draws conclusions from analyses that will be used to inform NPS and partner agency management decisions about restoration and conservation actions such as species habitat requirements and efficacy of actions such as herbicide applications. * Report findings in technical reports, peer-reviewed manuscripts, and make recommendations to the NPS I&M for interpretation and translation into management strategies. 20% Science communication and decision support * Responsible for refining existing and establishing new analytical and science communication techniques for use with NPS managers. 10% Teamwork, including effective participation in Lab strategic planning What You Will Need Ph.D. in ecological data science, statistics, biometry, quantitative ecology, or related field. At least five years of research experience applying research methods, procedures, and techniques in the natural resources management and conservation fields, and specifically related to protected area management; applying statistical and forecasting principles and procedures; planning and designing research projects and/or inventory and monitoring programs specifically tailored to protected area management; writing technical research reports and/or documents; and using statistical computer software packages. This position requires driving a university vehicle or a personal vehicle on behalf of the university; therefore, the incumbent must successfully complete a motor vehicle history check, possess and maintain a current, valid driver's license in their state of residence, be determined to be position qualified and self-report convictions as per University Policy 05-030. What We Would Like You to Have Demonstrated experience with the following: * Conducting and publishing basic and applied research related to conservation or natural resource science. * Experience with natural resource management, parks and protected area management, and conservation science. * Ability to tolerate ambiguity. * Ability to lead groups and to plan, organize, evaluate, manage, and delegate details. * An understanding of the basic philosophy of the Land Grant University system. * Experience using multiple forms of electronic communication. * Ability to secure external funding support for research and/or monitoring programs. * Commitment to work with underrepresented and underserved audiences. * Life experience, education, and/or training that broaden capacity to equalize the success or impact on underserved audiences. Working Conditions / Work Schedule The majority of work will be conducted in office settings, although the position will require occasional travel to field locations in the region. Field visits will be conducted in remote locations and require foot travel over rough terrain in all weather conditions. Pay Method Salary Pay Period 1st through the last day of the month Pay Date Last working day of the month Recommended Full-Time Salary Range $70,000-85,000 Link to Position Description ********************************************************* Posting Detail Information Posting Number P09588UF Number of Vacancies 1 Anticipated Appointment Begin Date 01/01/2026 Anticipated Appointment End Date Posting Date 12/04/2025 Full Consideration Date Closing Date 12/12/2025 Indicate how you intend to recruit for this search Competitive / Internal Special Instructions to Applicants This is an Internal Employment Opportunity. When applying you will be required to attach the following electronic documents: 1) A Curriculum Vitae 2) A Cover Letter indicating how your qualifications and experience have prepared you for this position. 3) Publications You will also be required to submit the names of at least three professional references, their e-mail addresses and telephone numbers as part of the application process. Starting salary within the salary range will be commensurate with skills, education, and experience. For additional information please contact: Matt Shinderman ******************************* ************ We are an Equal Opportunity Employer, including disability, protected veteran, and other protected status. OSU will conduct a review of the National Sex Offender Public website prior to hire. OSU is a fair chance employer committed to inclusive hiring. We encourage applications from candidates who bring a wide range of lived experience including involvement with the justice system. This job has "critical or security-sensitive" responsibilities. If you are selected as a finalist, your initial job offer will be contingent upon the results of a job-related pre-employment check (such as a background check, motor vehicle history check, sexual misconduct reference check, etc.). Background check results do not automatically disqualify a candidate. Take a look at our Background Checks website including the for candidates section for more details. If you have questions or concerns about the pre-employment check, please contact OSU's Employee and Labor Relations team at **********************************. Supplemental Questions