Data Scientist jobs at Stanford University

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

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.

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: * Participates in the analysis and validation of data sets/solutions/user experience. * Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. * Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. * Supports the research, identification and delivery of data science solutions to problems. * Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Education and Experience Required: * Bachelor´s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent. * Typically 0-2 years experience. Knowledge and Skills: * Basic knowledge of data science methodologies. * Basic understanding of business requirements and data science objectives. * Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). * Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). * Basic communication and presentation skills. * Basic data knowledge of relevant data programming languages. * Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #grads Job: Engineering Job Level: TCP_01 States with Pay Range Requirement The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at ******************************************************* USD Annual Salary: $60,800.00 - $181,200.00 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Join UChicago Medicine, as an ETL Analyst/Data Scientist in the Enterprise Architecture department. This position will be primarily a work from home opportunity with the requirement to come onsite as needed. You will need to be based in the greater Chicagoland area. In support of the UChicago ADAMS Center, the ETL Analyst/Data Scientist will have two main functions: (1) leverage statistical analysis, predictive and prescriptive modeling, and advanced visualizations to assist organizational leadership with operations, change monitoring, strategic planning, research, publications, and program development; and, (2) serve as an Extract-Transform-Loading (ETL) expert on ingesting new data sources into supported applications and identify and design data management solutions to benefit UChicago. Working with both internal and external stakeholders, the ETL Analyst/Data Scientist will design and deliver data models, data structures, and informatics solutions using appropriate statistical analyses to meet business, clinical, and research analytics needs and partner with IT and data warehouse teams to implement, enhance, and maintain ongoing solutions. The ETL Analyst/Data Scientist will be an essential team member to guide and enable advanced analytics and decision making that influence strategic goals across UChicago including to maximize clinical effectiveness, enhance quality of care, minimize waste, and catalyze a cutting edge biomedical and public health research agenda. Essential Job Functions Support stakeholder projects or ad hoc analysis by developing predictive/prescription models, preforming statistical analysis, and managing the ingestion of new data sources/ETLs in the MDClone platform Design data management solutions to maximize user experience and technical efficiency and partner with IT and the UChicago ADAMS Center for implementation Working with internal stakeholders to identify and measure healthcare related business, clinical, and research problems for which analytics solutions will drive significant value Working with external stakeholders (e.g. vendors) to design and implement data structures and data management solutions Communicate and share results of analyses and data solutions at internal and external meetings Other duties as assigned by Manager Required Qualifications Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline. PhD in a quantitative field such as Statistics, Computer Science, Physics, or Bioinformatics (Masters or BA with industry experience also considered) Must have extensive experience with R, SAS, or Python for development of statistical and machine learning models Expert in SQL Must have experience with data warehousing and data model design, or experience partnering with experts in those functions Experience in organizing, analyzing, and disseminating significant amounts of information with attention to detail and accuracy Experience in data management, including extraction, transformation, loading, validation/testing, and structuring of data Understanding of healthcare data preferred including ICD-9, ICD-10, and CPT Ability to process, cleanse, and verify the integrity of data used for analysis Excellent verbal and written communication skills for both technical and non-technical audiences Preferred Qualifications Epic Clarity or other Epic certifications Position Details Job Type/FTE: Full-time Shift: Day Location: Hyde Park (Flexible) Unit/Department: IT Enterprise Architecture CBA Code: Non-Union Why Join Us We've been at the forefront of medicine since 1899. We provide superior healthcare with compassion, always mindful that each patient is a person, an individual. To accomplish this, we need employees with passion, talent and commitment… with patients and with each other. We're in this together: working to advance medical innovation, serve the health needs of the community, and move our collective knowledge forward. If you'd like to add enriching human life to your profile, UChicago Medicine is for you. Here at the forefront, we're doing work that really matters. Join us. Bring your passion. UChicago Medicine is growing; discover how you can be a part of this pursuit of excellence at: UChicago Medicine Career Opportunities UChicago Medicine is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, ethnicity, ancestry, sex, sexual orientation, gender identity, marital status, civil union status, parental status, religion, national origin, age, disability, veteran status and other legally protected characteristics. As a condition of employment, all employees are required to complete a pre-employment physical, background check, drug screening, and comply with the flu vaccination requirements prior to hire. Medical and religious exemptions will be considered for flu vaccination consistent with applicable law. Compensation & Benefits Overview UChicago Medicine is committed to transparency in compensation and benefits. The pay range provided reflects the anticipated wage or salary reasonably expected to be offered for the position. The pay range is based on a full-time equivalent (1.0 FTE) and is reflective of current market data, reviewed on an annual basis. Compensation offered at the time of hire will vary based on candidate qualifications and experience and organizational considerations, such as internal equity. Pay ranges for employees subject to Collective Bargaining Agreements are negotiated by the medical center and their respective union. Review the full complement of benefit options for eligible roles at Benefits - UChicago Medicine .

Posting Detail Information Working TitleOpen Pool - Assistant Data Scientist - Various locations Research Professional PositionNo Posting Number202501542AP TypeAdmin Professional/ Research Professional Classification Title Number of Vacancies Work Hours/Week Proposed Annual Salary Range$61,111 - $76,397. Salaries will be adjusted based on the cost of living for the selected duty station. Employee Benefits Colorado State University is not just a workplace; it's a thriving community that's transforming lives and improving the human condition through world-class teaching, research, and service. With a robust benefits package, collaborative atmosphere, and focus on work-life balance, CSU is where you can thrive, grow, and make a lasting impact. + Review our detailed benefits information here. (*************************************************************************************** + Explore the additional perks of working at CSU here. + For the total value of CSU benefits in addition to wages, use our compensation calculator (******************************************************** . + Lastly, click here for more information about why Fort Collins is consistently ranked in the top cities to live in (************************************************************** ! Desired Start Date Position End Date (if temporary) To ensure full consideration, applications must be received by 11:59pm (MT) on12/31/2025 Description of Work Unit CEMML is a research, education and service unit within the Warner College of Natural Resources at Colorado State University ( CSU ). CEMML applies the latest and most appropriate science to promote the sustainable management of natural and cultural resources on Department of Defense (DoD) and other public lands. We provide technical support, conduct applied research, and offer career development and learning opportunities to support resource stewardship. We collaborate with our sponsors and within CSU to resolve complex environmental issues, leaving a legacy of science-based decisions that sustain our resources for future generations. To learn more about CEMML's contributions to land management, our mission, vision, and values, visit******************************** Position Summary The Center for Environmental Management of Military Lands ( CEMML ) at CSU is seeking applicants to work with the National Park Service ( NPS ), Inventory and Monitoring Division as Assistant Data Scientist to coordinate and participate in a team focused on many aspects of the data life cycle. These positions will assist with data management activities across 2-3 network offices. Positions are contingent on funding. These positions require a federal background investigation and favorable adjudication prior to starting. Anticipated start date is October 2025 - October 2027. Duration of the position is expected to last a minimum of two years. Actual length of service will depend on specific technical needs of the office, funding, and applicant performance. Official administration of the position will be from CEMML . Work may include travel to network offices across the country. These positions will assist Inventory & Monitoring Division staff in creating and maintaining the tools that are used to collect, manage, visualize, and publish data collected by the program, with a special emphasis on the data publication process. These data relate to a diverse list of topics and may include hydrology, vegetation, large mammals, climate, birds, and more. Data collection assistance could involve designing and entering data in data collection apps such as ESRI Survey 123 and Field Maps. Data management tasks include writing scripts to look for data quality issues, automating tasks, and preparing metadata. Visualizing data includes creating graphs and other visualizations in R, Power BI, AGOL dashboards and other approved platforms. Data publication tasks include creating scripts to generate EML metadata, machine readable datasets, and reports using tools such as R, R Markdown and Python. LOCATIONS These roles support several networks and may be based in one of the locations listed below. Remote work may be an option in certain cases. If you're interested in this arrangement, we encourage you to share your reasons during the application process. To ensure success in a remote setting, candidates should have a stable internet connection and be available during the host network's core working hours. During the application process you will be asked to select your preferred location. We encourage you to choose the site that best aligns with your personal and professional goals. There will be one hire for each of the regions/networks. + Alaska (Anchorage, AK; Fairbanks, AK; Fort Collins, CO) + Coastal (Sausilito, CA; Fort Collins, CO) + Colorado Plateau (Moab, UT; Fort Collins, CO) + Desert (Las Cruces, NM; Tucson, AZ; Fort Collins, CO) + Eastern (Asheville, NC; Cave City, KY; Fort Collins, CO) + Marine (San Diego, CA; Palmetto Bay, FL; Volcano, HI; Fort Collins, CO) + Northeast (Woodstock, VT; Fort Collins, CO) + Pacific Northwest (Port Angeles, WA; Ashland, OR; Juneau, AK; Fort Collins, CO). + Southern (Athens, GA; Lafayette, LA; Fort Collins, CO) Required Job Qualifications + BS or BA degree in computer science, information technology, geographic information systems, geography, biology, ecology, environmental science, or a related field. + Experience programming in the R statistical computing software or Python. + Experience creating metadata, conducting QA/QC of ecological inventory & monitoring data, and documenting procedures to meet open data/open science requirements. + Strong communication skills when working with various external and internal partners. + Experience creating data visualization and data dashboards. The successful candidate must be legally authorized to work in the U.S. by proposed start date; CEMML will not provide visa sponsorship for this position. Preferred Job Qualifications + One year of related work experience. + Experience using and managing relational databases (Access, SQL Server). + Experience utilizing geospatial data and GIS (ArcGIS Pro and ArcGIS Online). + Experience working in natural resources or with ecological data. + Demonstrated verbal and written communication skills to communicate and document workflow status and process with program staff. + Demonstrated ability to ascertain the essence of an issue and effectively collaborate in a professional manner with an interdisciplinary team of data managers, ecologists, and park staff to develop and implement solutions. + Self-motivated with acute attention to detail. + Experience working in a collaborative environment. + Have a valid driver's license, the ability to obtain a driver's license by the employment start date, or access to a car and licensed driver. Essential Duties Application Details Special Instructions to Applicants Applicants must meet the minimum qualifications in the announcement to be considered for hire. Mailed or emailed applications will not be accepted. Upload each of the items below individually as a Word Document (.doc), PDF (.pdf), or Rich Text Format (.rtf). Please note that incomplete applications cannot be considered. A complete application consists of: + Statement of Qualifications - please clearly describe your education and experience (including certifications, licenses, and program experience) in the field that you are interested in being considered for; upload to the 'Cover Letter' slot) + Resume + References - please include within your application contact information for 3 professional references including at least one supervisor. References will not be contacted without prior notification to candidates. Please note, applicants may redact information from their application materials that identifies their age, date of birth, or dates of attendance at or graduation from an educational institution. When a position matching your selection becomes available, and if your application is selected to move forward, a search committee member will reach out with further information. If you wish to withdraw your application from the Open Pool, you can do so at any time at **************************** This pool is valid through December 31, 2025, at which time the pool will expire. CSU is committed to full inclusion of qualified individuals. If you are needing assistance or accommodations with the search process, please reach out to the listed search contact. Conditions of EmploymentPre-employment Criminal Background Check (required for new hires) Search ContactJessica Horvath (*****************************) EEO Colorado State University ( CSU ) provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Background Check Policy Statement Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks for the finalist before a final offer. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so. References Requested References Requested Minimum Requested3 Maximum Requested3 Supplemental Questions Required fields are indicated with an asterisk (*). + * Please select the regions/networks that you would like to be considered for: + Alaska (Anchorage, AK; Fairbanks, AK; Fort Collins, CO + Coastal (Sausilito, CA; Fort Collins, CO) + Colorado Plateau (Moab, UT; Fort Collins, CO) + Desert (Las Cruces, NM; Tucson, AZ; Fort Collins, CO) + Eastern (Asheville, NC; Cave City, KY; Fort Collins, CO) + Marine (San Diego, CA; Palmetto Bay, FL; Volcano, HI; Fort Collins, CO) + Northeast (Woodstock, VT; Fort Collins, CO) + Pacific Northwest (Port Angeles, WA; Ashland, OR; Juneau, AK; Fort Collins, CO) + Southern (Athens, GA; Lafayette, LA; Fort Collins, CO) + * Are you legally authorized to work in the U.S. by proposed start date (as CEMML will not provide visa sponsorship for this position)? + Yes + No + * Do you have a BS or BA degree in computer science, information technology, geographic information systems, geography, biology, ecology, environmental science, or a related field? + Yes + No + * Do you have experience programming in the R statistical computing software or Python? + Yes + No + * Do you have experience creating metadata, conducting QA/QC of ecological inventory & monitoring data, and documenting procedures to meet open data/open science requirements? + Yes + No + * Do you have strong communication skills when working with various external and internal partners? + Yes + No + * Do you have experience creating data visualization and data dashboards? + Yes + No Applicant Documents Required Documents + Cover Letter + Resume Optional Documents

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

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

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: * Participates in the analysis and validation of data sets/solutions/user experience. * Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. * Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. * Supports the research, identification and delivery of data science solutions to problems. * Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Education and Experience Required: * Bachelor´s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent. * Typically 0-2 years experience. Knowledge and Skills: * Basic knowledge of data science methodologies. * Basic understanding of business requirements and data science objectives. * Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). * Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). * Basic communication and presentation skills. * Basic data knowledge of relevant data programming languages. * Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #grads Job: Engineering Job Level: TCP_01 States with Pay Range Requirement The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at ******************************************************* USD Annual Salary: $60,800.00 - $181,200.00 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

**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**

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.

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.

Title: Data Scientist Work Authorization: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor employment visas at this time. Job Description The Data Scientist for the Office of the Provost at Radford University will lead data-driven initiatives to optimize student success, career readiness, and institutional effectiveness. This role involves managing and integrating data from platforms like the RU Data Warehouse, Assessments, Handshake, Banner, Raiser's Edge, Internbridge, Hanover, and Lightcast, developing systematic data collection plans, and creating actionable insights through advanced analytics and visualization tools such as Python, SQL, Snowflake, Power BI, Tableau, etc. The idea candidate will possess strong project management skills, experience with data warehousing, and a deep understanding of database management. The ideal candidate will also need strong problem solving and communication skills. They will collaborate with various departments to ensure accurate data reporting and support the strategic goals of the university, particularly in tracking and enhancing student engagement and experiential learning outcomes as well as supporting the Curriculum Lifecycle and the Strategic Plan. Reporting to the Director of Institutional Effectiveness, this position will also be responsible for benchmarking equitable student access and participation, with the ability to compare metrics with the Commonwealth and national data. Required Qualifications • Master's degree required in Data Science, Statistics, Computer Science, or related field. • Experience in project management, benchmarking, data collection and analysis, data warehousing/data modeling, relational databases, data visualization techniques, forecasting and reporting. Strong understanding of database management systems and ETL processes. • Experience in relationship management and data integration. • Experience in Machine Learning techniques such as classification, regression, decision trees, neural nets, large language models, recommender systems, natural language processing, clustering, anomaly detection, sequential pattern discovery, text mining, and familiar with the latest trends and applications of generative AI. • Experience with open source or commercial data visualization tools such as Tableau, Power BI, etc., and ability to create interactive, user-friendly compelling dashboards and reports. • Ability to effectively manage competing priorities in a complex work environment, focusing on high-value activities. • Expertise in statistical analysis, hypothesis testing and predictive modeling. • Basic understanding of software testing, User Acceptance Testing (UAT), Snowflake, and web development principles to effectively communication and collaborate with technical teams. • Motivated Self Starter, comfortable navigating through ambiguity to evaluate complex data and analyze data from multiple angles and deliver insights that directly impact the University. • Demonstrated ability to thrive in a fast-paced environment and make independent decisions exercising sound judgement. • Meticulous with demonstrated writing, editing, verbal communication, organizational, and analytical skills. • Demonstrated ability to lead a group toward the successful completion of a project. Must be a current Radford University employee to apply. Special Instructions to Applicants Agency only recruitment; must be a current Radford University employee to apply. Please submit a resume and cover letter. Employment Conditions: Agency only recruitment; must be a current Radford University employee to apply. Is this position Grant Funded: No Is this position restricted: No Is this position eligible for telework: No Hours Per Week: 40 Months per Year: 12 Statement of Economic Interest Required: No FLSA Status: Exempt Work Classification: Administrative & Professional Faculty Normal Work Schedule: Employee Classification: Professional - Lecturer Department: Institutional Effectiveness Salary: Commensurate with Experience Department Contact Name: Jessica Stowell Department Contact Phone: ************ Department Contact Email: ********************* Equal Opportunity Statement: Radford University does not discriminate with regard to race, color, sex, sexual orientation, disability, age, veteran status, national origin, religion, or political affiliation in the administration of its educational programs, activities, admission or employment practices. Clery Statement In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, Radford University publishes an Annual Security and Fire Safety Report. The report includes the university's policies, procedures, and programs concerning safety and security, as well as three years' of crime statistics for our campus. As a prospective employee, you are entitled to a copy of this report. The report and statistical data can be found online at Radford.edu/police. You may also request a paper copy of the report from the Radford University Police Department located at 810 East Main Street PO Box 6883, Radford, VA, 24142. Reasonable Accommodation Statement If you are an individual with a disability and desire accommodation in the application process please contact the hiring department. Criminal Background Check Statement Radford University is committed to ensuring a safe and secure environment for all employees, students, volunteers, and stakeholders. As part of our hiring and screening process, we conduct criminal background checks in compliance with Virginia Code § 19.2-389 and other applicable state and federal laws. Successful candidates will be required to have a criminal background check.

Title: Data Scientist Work Authorization: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor employment visas at this time. Job Description The Data Scientist for the Office of the Provost at Radford University will lead data-driven initiatives to optimize student success, career readiness, and institutional effectiveness. This role involves managing and integrating data from platforms like the RU Data Warehouse, Assessments, Handshake, Banner, Raiser's Edge, Internbridge, Hanover, and Lightcast, developing systematic data collection plans, and creating actionable insights through advanced analytics and visualization tools such as Python, SQL, Snowflake, Power BI, Tableau, etc. The idea candidate will possess strong project management skills, experience with data warehousing, and a deep understanding of database management. The ideal candidate will also need strong problem solving and communication skills. They will collaborate with various departments to ensure accurate data reporting and support the strategic goals of the university, particularly in tracking and enhancing student engagement and experiential learning outcomes as well as supporting the Curriculum Lifecycle and the Strategic Plan. Reporting to the Director of Institutional Effectiveness, this position will also be responsible for benchmarking equitable student access and participation, with the ability to compare metrics with the Commonwealth and national data. Required Qualifications * Master's degree required in Data Science, Statistics, Computer Science, or related field. * Experience in project management, benchmarking, data collection and analysis, data warehousing/data modeling, relational databases, data visualization techniques, forecasting and reporting. Strong understanding of database management systems and ETL processes. * Experience in relationship management and data integration. * Experience in Machine Learning techniques such as classification, regression, decision trees, neural nets, large language models, recommender systems, natural language processing, clustering, anomaly detection, sequential pattern discovery, text mining, and familiar with the latest trends and applications of generative AI. * Experience with open source or commercial data visualization tools such as Tableau, Power BI, etc., and ability to create interactive, user-friendly compelling dashboards and reports. * Ability to effectively manage competing priorities in a complex work environment, focusing on high-value activities. * Expertise in statistical analysis, hypothesis testing and predictive modeling. * Basic understanding of software testing, User Acceptance Testing (UAT), Snowflake, and web development principles to effectively communication and collaborate with technical teams. * Motivated Self Starter, comfortable navigating through ambiguity to evaluate complex data and analyze data from multiple angles and deliver insights that directly impact the University. * Demonstrated ability to thrive in a fast-paced environment and make independent decisions exercising sound judgement. * Meticulous with demonstrated writing, editing, verbal communication, organizational, and analytical skills. * Demonstrated ability to lead a group toward the successful completion of a project. Must be a current Radford University employee to apply. Special Instructions to Applicants Agency only recruitment; must be a current Radford University employee to apply. Please submit a resume and cover letter. Employment Conditions: Agency only recruitment; must be a current Radford University employee to apply. Is this position Grant Funded: No Is this position restricted: No Is this position eligible for telework: No Hours Per Week: 40 Months per Year: 12 Statement of Economic Interest Required: No FLSA Status: Exempt Work Classification: Administrative & Professional Faculty Normal Work Schedule: Employee Classification: Professional - Lecturer Department: Institutional Effectiveness Salary: Commensurate with Experience Department Contact Name: Jessica Stowell Department Contact Phone: ************ Department Contact Email: ********************* Equal Opportunity Statement: Radford University does not discriminate with regard to race, color, sex, sexual orientation, disability, age, veteran status, national origin, religion, or political affiliation in the administration of its educational programs, activities, admission or employment practices. Clery Statement In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, Radford University publishes an Annual Security and Fire Safety Report. The report includes the university's policies, procedures, and programs concerning safety and security, as well as three years' of crime statistics for our campus. As a prospective employee, you are entitled to a copy of this report. The report and statistical data can be found online at Radford.edu/police. You may also request a paper copy of the report from the Radford University Police Department located at 810 East Main Street PO Box 6883, Radford, VA, 24142. Reasonable Accommodation Statement If you are an individual with a disability and desire accommodation in the application process please contact the hiring department. Criminal Background Check Statement Radford University is committed to ensuring a safe and secure environment for all employees, students, volunteers, and stakeholders. As part of our hiring and screening process, we conduct criminal background checks in compliance with Virginia Code § 19.2-389 and other applicable state and federal laws. Successful candidates will be required to have a criminal background check.

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:

Teaching kids to think critically and communicate effectively has never been more important, and NoRedInk helps students become better writers in more than 60% of U.S. school districts. We're looking for a Full Stack Data Scientist to work with a team of data professionals in solving customer, product, and business problems through data science and advanced analytics, large language models and other machine learning models, as well as data architecture and infrastructure improvements. In this role, you will: Drive objectives in collaboration with members of the data team and colleagues across the company Partner across Product and Engineering to advance our data science and AI/ML capabilities; leverage LLMs and Generative AI to enhance product features and business operations; assist teams with model selection, implementation, and optimization Utilize strong project management skills for efficient and effective delivery of data-related projects for cross-functional stakeholders, owning the end-to-end lifecycle of ML models Effectively leverage our data warehouse and tools like Snowflake, Sigma, Mixpanel, and Google Analytics Conduct rigorous testing and analysis to validate model performance, monitor model drift and performance in production, and implement retraining strategies as appropriate Contribute to data team efforts aiming to develop actionable business intelligence Advise product and engineering leadership, continually improving the product and the organization as a whole while simultaneously learning and growing as an individual contributor Mentor team members and contribute to the team's technical roadmap About You: 8+ years experience in a data science or analytics role Degree or equivalent experience in statistics, analytics, mathematics, computer science, or a related quantitative field Experience leveraging LLMs to both improve the software development process and deliver features in production Experience building and training predictive models using leading machine learning frameworks A strong focus on end-to-end delivery, leveraging full-stack capabilities including data engineering and ETL tooling, model deployment, MLOps, observability, etc. Proficient with the use of BI and data analysis tools, data warehousing, data visualization, data architecture, data-driven storytelling and other higher level data concepts Strong collaboration, communication, and presentation skills with the ability to move fluently between metrics and business outcomes, reinforcing and ultimately championing those connections for others Fluency with SQL and Python Familiarity with agile methodologies and project management tools An interest in and an awareness of data privacy and compliance considerations Open to working with a team spanning US-Pacific to US-East time What NoRedInk Offers: A competitive salary and equity package in a well-funded startup with strong product-market fit Excellent health, vision, and dental benefits (U.S. Only) 100% remote work environment Flexible PTO and paid parental leave 401(k) (U.S. Only) Team retreats and events to connect with fun, talented coworkers The ability to help millions of students and teachers and address a critical societal need About NoRedInk: NoRedInk helps students in over 60% of US school districts become better writers. Our deeply engaging, adaptive curriculum personalizes exercises to kids' interests, guides them through the writing process with instructional support, and boosts their skills through targeted practice. Students have completed over 10 billion exercises on our site, and our mission is to help all students harness the power of the written word. Check out our press page, including our 2-minute pitch on NBC and articles in The Washington Post, Wall Street Journal, and Forbes. NoRedInk believes that diversity and inclusion among our teammates is critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. At NoRedInk, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law. Compensation at NoRedInk is robust and includes a full range of benefits, unlimited PTO, monthly co-working stipends, an initial home-office set-up stipend, and generous equity. Our salary ranges are based on factors such as expectations as laid out in the job description, location-specific market data, internal parity, and the experience and skills of individual candidates. Therefore, the compensation range is $170,000 - $200,000 and accounts for a variety of locations and skills/experience. Please know that if you are invited to speak with a recruiter at NoRedInk, they will have an open discussion about compensation during your first call to ensure alignment. *Note: Agencies or other third-party recruiters may not submit unsolicited candidate resumes or their information to any NoRedInk employee, including a NoRedInk Recruiter, unless a contract is signed and you are given permission by the Talent Acquisition team to work on a job opening.

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's 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 Senior Data Scientist on the Core Product Analytics team, you'll partner with Product, Engineering, Design, and other Data Science teams to deliver insights that shape the way millions of students learn with Quizlet. You'll bring analytical rigor to every stage of product development-designing experiments, identifying opportunities, and translating data into actionable product recommendations. You'll work with a rich dataset spanning student learning behavior and engagement, helping to uncover insights that directly influence strategy and product design. This role is perfect for a data scientist who thrives at the intersection of experimentation, analytics, and storytelling. 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 that enable the business to act on key insights Collaborate within a product pod alongside partners in Product, Engineering, Design, and User Research Design and analyze A/B experiments from inception to measurement, interpretation, and recommendation Present insights and findings that influence product direction and company priorities Define key performance metrics and ensure consistent measurement across product initiatives What you bring to the table: 3+ years of experience in data science at a consumer internet company Experience running A/B tests and applying statistical techniques for modeling and predicting user behavior Experience partnering with product and engineering teams to drive strategy and execution through data Strong SQL skills and comfort working with large datasets Strong communication skills and the ability to visualize and present complex insights clearly 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 $170,880 - $231,600, depending on location and experience, as well as company stock options Collaborate with your manager and team to create a healthy work-life balance 20 vacation days that we expect you to take! Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice) Employer-sponsored 401k plan with company match Access to LinkedIn Learning and other resources to support professional growth Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits 40 hours of annual paid time off to participate in volunteer programs of choice Why Join Quizlet? 🌎 Massive reach: 60M+ users, 1B+ interactions per week 🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science 📈 Strong momentum: Top-tier investors, sustainable business, real traction 🎯 Mission-first: Work that makes a difference in people's lives 🤝 Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT

**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**

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events - from concerts and festivals to sports and theater - at some of the most iconic venues in the world. Since our founding in 2011, we've consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today. We're passionate about improving the fan experience and providing game-changing solutions for our clients, and we're always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment. The Role The Senior Data Scientist uses statistical modeling and machine learning tools to support business initiatives such as revenue maximization, personalization, and anomaly detection. The incumbent utilizes ticketing data at AXS to build and deploy scalable data science tools. This position collaborates with a dynamic team and works with various business stakeholders. What Will You Do? Machine Learning Modeling and Deployment - Contribute to the full data science lifecycle from model design, development, deploying/building data pipelines, and evaluating alignment with business goals Business Strategy and Project Management - Translate requests and problems into frameworks for improving pricing strategy performance, driving value, and impacting business outcomes. Provide mentoring to junior data scientists and support the recruiting and hiring process for the data science team. Business Collaboration - Effectively collaborate with business partners to communicate findings, understand key pricing problems, and define strategic priorities. Technical Exploration and Research- Explore key development in data science and machine learning tools and algorithms. Identify needs, explore relevant data, and develop applicable tools to drive business decisions and strategy-making. What Will You Bring? BS/MA/MS Degree (PhD preferred) in a Quantitative field such as Econometrics, Statistics, Operations Research, Machine Learning, Applied Mathematics, Computer Science, or related technical area The experience level will vary based on the candidate's degree level 1) PhD Candidates: 1-2 years related experience, or 2) Master of Science Candidates: 2-4 years related experience; or 3) Bachelor of Science Candidates: 5+ years of related experience Experience with applied statistical, machine learning modeling, recommendation systems, and deployment experience Bonus points if You Have Experience on pricing strategy and revenue management Experience with Git, bash/UNIX scripting Pay Scale: $125,000- $140,000 Bonus: This position is eligible for a bonus under the current bonus plan requirements. Benefits: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. *Employer does not offer work visa sponsorship for this position. What's in it for You? Extraordinary People - we're not kidding! Meaningful Mission- Helping revolutionize an industry and deliver better experiences for fans and clients around the world. Development and Learning - Opportunities for learning and leveling up through training and education reimbursement. Community & Belonging - A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace. Curious about the typical interview process for this position? Here's what to expect: Stage 1: 20-30 virtual preliminary interview Stage:2: 45-min virtual Hiring Manager Interview Stage 3: 60-min virtual technical Interview Stage 4: 30 min final interview More about AXS AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you'll find a team of dedicated, diverse employees (we've dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment. To learn more about our culture and values, visit: ********************************** More about AEG For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer. Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations. We are dedicated to a diverse, inclusive and authentic workplace, so if you're excited about this role but can't "check every box" in the , we encourage you to apply anyway. You may be the right candidate for this or other roles. AEG reserves the right to change or modify the employee's job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description. AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law. #LI-Hybrid

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