Data science internship jobs in Phoenix, AZ

ARIZONA DEPARTMENT OF CORRECTIONS REHABILITATION & REENTRY Our mission is to enhance public safety across Arizona through modern, effective correctional practices and meaningful engagements. The Arizona Department of Corrections, Rehabilitation and Reentry (ADCRR) is committed to creating a safe, secure, and humane correctional system. With public safety top of mind, ADCRR and its more than 8,000 officers and professional staff are driven by a heart for public service and a commitment to deliver perfect effort each day. ADCRR is redefining itself as an agency whose daily work centers on transparency, accountability, and fairness. PEOPLE DATA ANALYST (HUMAN RESOURCES ANALYST INTERMEDIATE) Job Location: Address: Training and Personnel Division 701 E. Jefferson Street Phoenix, Arizona 85034 *************************** Posting Details: Salary: $56,160.00 Grade: 20 Closing Date: 11/14/2025 Job Summary: Join Our Team as a People Data Analyst! The Arizona Department of Corrections, Rehabilitation & Reentry (ADCRR) is seeking a skilled and motivated People Data Analyst to provide professional expertise in HR research, data analysis, and process improvement. In this role, you'll analyze HR data, prepare reports and dashboards, and support the development of policies and procedures that strengthen workforce management across the agency. You'll collaborate with leadership to enhance operations, improve efficiency, and drive results through meaningful HR insights. If you're analytical, detail-oriented, and ready to make an impact, apply today and grow your HR career with ADCRR! Job Duties: -Gathers, analyze, and prepare reports on HR metrics for agency management -Extracts and formats data from the Human Resources Information Solution (AZ360) -Creates and maintains databases, spreadsheets, dashboards, and forms using various computer/web applications -Combines volumes of data from various sources to ensures accuracy -Collaborates with internal and external resources and other agency units to accomplish assignments -Participates in various individual and team projects -Creates projects plans and expectations, and monitors and evaluates activities -Contributes to the unit's strategy-based goals, objectives and results, and participates in HRDG LEAN (AMS) management process improvement initiatives -Evaluates and recommends changes to enhance workflow, customer service, timeliness, etc. -Documents, develops, and evaluates standard work -Assists in developing and implementing employee surveys -Generates reports and conducts data analysis based on responses -Assists in implementing and administering the PI suite -Provides technical guidance and support to the HR Analytics Manager to include preparing various reports and assisting in the development of dashboards -Serves as a back-up to the Human Resources Analytics Unit -Drives on State business -Performs other duties appropriate to the assignment Knowledge, Skills & Abilities (KSAs): Knowledge of: -Research and data analysis methods and techniques, HRIS Report Writer, Microsoft Office Suite and Google Workspace, with an emphasis on spreadsheets expertise -Project management and continuous process improvement methodologies -Records and document management principles -Principles and practices of human resources management and administration -State and Federal Laws, ADOA Personnel Rules, ADOA Classification and Compensation Guidelines -ADCRR department policies and procedures Skill in: -Verbal and written communication -Creating complex spreadsheets, databases and reports -Creating Power Point presentation -Prioritizing and completing tasks -Problem solving, analysis, and decision making -Project management, managing cross-functional teams, group facilitation, addressing challenging situations Building and maintaining interpersonal relationships -Providing a high level of customer service Ability to: -Analyze and address complex issues -Identify discrepancies, problems and formulate solutions -Prepare and present reports -Evaluate, organize and execute new initiatives -Collect data and analyze complex quality and process issues -Maintains confidentiality -Communicate accurate information to customers and staff members -Effectively manage multiple and changing priorities -Work independently and/or in a team setting -Interpret human resources policies and procedures -Understand, explain and apply State and Federal Laws, as well as, ADOA Personnel Rules, ADOA Classification and Compensation Guidelines -ADCRR department policies and procedures Selective Preference(s): -Bachelor's Degree in Data Science, Human Resources, or a related field; or two (2) years of relevant experience -Relevant HR Certification -Requires expertise using complex spreadsheets and databases for analysis and reporting, and experience in project management, process improvement initiatives, and report Writing Pre-Employment Requirements: Employment is contingent on the selected applicant passing a background investigation. If this position requires driving or the use of a vehicle as an essential function of the job, then the following requirements apply. Any employee operating a motor vehicle on State business must possess and retain a current, valid class-appropriate driver's license, complete all required training, and successfully pass all necessary driver's license record checks. The license must be current, unexpired, and neither revoked nor suspended. Employees who drive on state business are subject to driver's license record checks, must maintain acceptable driving records, and must complete all required driver training. An employee who operates a personally owned vehicle on state business shall maintain the statutorily required liability insurance (see Arizona Administrative Code (A.A.C.) R2-10-207.11). In an effort to maintain a safe environment, all employees are required to take a Tuberculosis (TB) test during their New Employee Orientation and every year thereafter. All newly hired State employees are subject to and must successfully complete the Electronic Employment Eligibility Verification Program (E-Verify). Benefits: We offer an excellent and affordable comprehensive benefits package to meet the needs of our employees: - Vacation and sick days with 10 paid holidays per year - Paid Parental Leave-Up to 12 weeks per year paid leave for newborn or newly-placed foster/adopted child (pilot program). - Robust and affordable insurance plan to include medical, dental, life, short-term and long-term disability options - Exceptional retirement program - Optional employee benefits such as deferred compensation plans, credit union membership, and a wellness program - An incentivized commuter club and public transportation subsidy program Learn more about the Paid Parental Leave pilot program here. For a complete list of benefits provided by The State of Arizona, please visit our benefits page Retirement: Positions in this classification participate in the Arizona State Retirement System (ASRS). Enrollment eligibility will become effective after 27 weeks of employment. Current ADCRR Employees: Consult with your respective Human Resources Liaison if you are in a different retirement plan than the one indicated above. Contact Us: The State of Arizona is an Equal Opportunity/Reasonable Accommodation Employer. Persons with a disability may request a reasonable accommodation such as a sign language interpreter or an alternative format by calling **************. Requests should be made as early as possible to allow sufficient time to arrange the accommodation.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a dedicated Principal Data Scientist, you will leverage technical expertise and industry experience to influence the application, scalability, and enablement of artificial intelligence/machine learning (AI/ML) across USAA's enterprise, including key bank operations such as call center optimization, complaints program analytics, and digital servicing enhancements. This includes driving intelligent automation and personalization through next best action recommendations and predictive servicing strategies. You will identify novel opportunities for advanced analytics solutions, effectively communicate with business leaders, product teams, and other key stakeholders, and guide end-to-end solution development, IT implementation, and business adoption. You will provide strategic guidance to executive leadership by seeking, vetting, proposing, and enabling “best in class” tools and technologies. Additionally, you will collaborate with IT Architecture and leadership to ensure data and analytics tools align with USAA's strategic vision and operational priorities. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC or Tampa, FL. Relocation assistance is available for this position. What you'll do: Identifies, researches, and defines large-scale, cross-functional AI/ML use cases in collaboration with business leaders, executive peers, and strategic partners. Guides end-to-end efforts to develop scalable, efficient, highly-performant, automated AI/ML solutions. Applies deep expertise to amplify the impact of modeling techniques on emerging business initiatives. Collaborates with IT architects to design, implement, monitor, and scale cutting-edge AI/ML solutions that translate prototypes into novel products, services, and features. Ensures that AI/ML solutions are built using industry best practices, and sound methodology. Works with model risk partners to promote a culture of regulatory compliance. Designs large, complex information assets that enable applied analytics. Collaborates with engineering, data, and information architects to establish and maintain well-governed, documented, and controlled datasets from internal and external, structured, and unstructured sources. Seeks opportunities to simplify, modernize, and standardize the model development lifecycle. Provides expert technical advice and guidance by vetting vendor acquisitions. Actively raises the bar on talent and recruitment by leading or participating in communities of practice, talent development initiatives, and technical interview panels. Clearly translates complex analytical and technical concepts to diverse, technical, and non-technical audiences in a way that promotes organizational data literacy and informs business priorities. Provides technical oversight for building and maintaining a robust library of reusable, production-quality algorithms and supporting code. Develops and maintains academic and industry relationships for research purposes. Represents USAA in key internal/external technology and advanced analytics conferences. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline. 10 years of progressive experience in predictive analytics or data analysis, to include 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 6 years of experience in one or more dynamic scripted language (such as Python, R, etc.) with a focus on writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Subject matter expert in the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc. Subject matter expert in the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Deep hands-on experience building, deploying, and managing the performance of advanced analytics solutions. Proven track record of providing cutting-edge solutions that drive business adoption and value. Extensive project management experience and can anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating and escalating potential impediments and limitations to leadership. Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. Extensive experience explaining and influencing complex technology decisions to both technical and nontechnical audiences at all levels in the organization and with cross functional and enterprise teams. Demonstrated experience leading business or product/portfolio transformation through use of advanced analytics. What sets you apart: Applied expertise in machine learning, NLP, and generative AI, with hands-on experience developing agent-based AI solutions tailored to banking operations such as call center automation, digital servicing, and complaints resolution. Proven leadership in technology research, strategy, and enterprise-scale implementation, particularly in Generative AI initiatives that enhance customer engagement, streamline servicing workflows, and support regulatory compliance across functional areas. Strong ability to translate business needs into technical solutions, driving innovation in customer experience, contact center performance, underwriting efficiency, and next best action recommendations through advanced AI applications and intelligent decisioning systems. Compensation range: The salary range for this position is: $217,520 - $415,760. Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description is hybrid in Phoenix, AZ - with some time spent in office for meetings. In Person interview is required. Our direct client has an opening for a Data Analyst 5681. is up to 12 months with the option of extension. The client is in Phoenix, AZ. Please send us your rate and resume. 50% - Develop test plans/scenarios/cases/scripts to ensure appropriate test coverage. Provide direction to developers to implement solutions per requirements. Execute testing based upon documented test cases/scripts and ensure applications tested meet customer defined business requirements per documented user acceptance criteria. Conduct user acceptance testing with end users to ensure implemented solution meets expectations. Document and track software defects as well as issues with performance and usability. 30% - Identify, evaluate, and document business needs and objectives, operational processes and procedures, problems and requirements. Understand the business case, and gaps in documented business process (as is vs. to be). Perform requirements elicitation/documentation/management, as well as use case documentation (standard, alternate, and error) to assist developers in creation of solutions to meet business objectives. Leverage understanding to document meaningful user acceptance criteria for user stories. Capable of facilitating communication between stakeholders from all levels of the organization while objectively identifying and resolving conflict. 20% - Identify and document processes and procedures related to Business Analysis and Quality Assurance standards, including opportunities for improvement. Identify candidates for test automation, document test flow and data requirements/dependencies, and implement using approved tools. Required Skills • Windows Server Experience • SDLC - Agile (Scrum, Kanban) Experience • Intermediate Visual Studio/TFS/VSTS Experience • Intermediate VSTS Experience • Intermediate STLC Experience • Intermediate .Net Applications, ETL Experience • Intermediate SQL Server 2008 R2 & 2016 Experience • SSIS/SSRS Experience • Backend database testing to include: tables/views • Intermediate MS Office (Word, Excel, PowerPoint, Access) Experience Nice-To-Have Skills • Backend database testing to include: indexes, triggers, stored procedures, packages • Experience with API testing • Experience with Automated testing

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description Tasks and responsibilities: • Function point analysis. Functional side of a technical requirement. Gather information from technical teams…put data together - Really understand what the delivery teams are doing Documentation is correct. • Performs data analytics on various processes and projects to measure post-implementation performance. • Coordination, scheduling and facilitation of kick-off, validation and follow-up meetings. • Gathering of project documentation from SDLC Document Repository and user stories from Rally. • Extraction of quantitative project data for analysis of project level performance. • Preparation of reporting for review with Product Teams and ad hoc data requests. Preferred Additional Skills: • Proficient in MS Access and SQL Server • Strong financial acumen. Qualifications Required Skills: • Familiarity with SDLC documentation, process and tools. • Knowledge of project management methodologies (Waterfall and Agile) • Ability to analyze large populations of data, deciphers common themes, trends and outliers, and transform in to meaningful, actionable output. • Confident communicator. • Excellent analytical and problem solving skills. • Advanced MS Excel and MS PowerPoint skills • Bachelor's Degree in Computer Science, Information Systems, Business Administration, or other related field. Or equivalent work experience • 3 to 5 years of relevant technical or business work experience. Additional Information To know more on this position or to schedule an interview, please contact: Vishwas Jaggi ************

is expected to work 20 hours a week. Required Skills At least 2 years of experience as a Data Analyst Statistical Analysis/ Data Science experience Communicate and Present projections and findings Ability to analyze datasets to identify trends, patterns, and insights to inform veteran homelessness plan development This position is expected to work 20 hours a week. The State of Arizona is seeking a skilled and detail -oriented Data Analyst to join to support statewide efforts to end veteran homelessness as part of the Homes to Heroes initiative. The ideal candidate will be responsible for collecting and synthesizing data from existing data bases in three areas, veteran and homeless veteran population demographics, financial, and service related resources allocated to homeless veteran initiatives. This data will provide a baseline of the current demographics of veterans experiencing homelessness in Arizona and the financial and service resources allocated across the state. From this baseline the Data Analyst will work collaboratively with internal and external partners to identify trends and make annual projections for the future ten years. The annual projections will be focused on determining gaps in resources or if the resources will be sufficient to house all veterans. Your analyses will play a critical role in our development of a comprehensive state plan to end veteran homelessness. If you have a passion to utilize your Data Analyst skills for a social purpose, this opportunity would be a great fit. Requirements -Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. -Ability to analyze datasets to identify trends, patterns, and insights to inform veteran homelessness plan development. -Ability to collect, clean, and validate data to ensure accuracy and reliability. -Ability to employ statistical analysis to predict future resource needs to end veteran homelessness. -Ability to clearly communicate findings and projections to the program coordinator, department director, project team and all other internal and external stakeholders. -Ability to work independently and as part of a collaborative team environment. -Excellent problem -solving skills with a keen attention to detail. -Attend all virtual and team and individual meetings. -Flexibility to attend in office meetings with stakeholders, if needed. Preferred Qualifications -Military service experience or background in working with veteran populations. -General knowledge of the challenges facing service providers and veterans at risk of, or experiencing homelessness. -Two years experience in a similar role. Working Conditions -This position is remote, with a laptop and cell phone provided.

The main responsibilities of this role include - Assist in the preparation of reports and building complex data models Devise new data collection and analysis processes Work with key stakeholders to priorities information needs Analyse results and report findings to the business Identify and interpret trends or patterns in complex data sets Develop strategies to optimise the quality of statistical results Maintain database Research background materials, including relevant economic and financial data Assist in the development of long-range financial forecasts and related budgets The Successful Applicant The Successful Applicant will have the following - Bachelors degree in Business / Commerce or related discipline Ideally 1-3 years of experience, however, will also consider graduates straight from University Intermediate Excel skills Strong analytic skills and problem solving Strong communication skills Proficient in Power BI (preferred) What's on Offer New office currently being built Opportunity to develop and enhance career flexible working arrangements Work closely with the CFO Attractive remuneration and bonus Flexible working arrangements

**Job Summary and Responsibilities** Primarily responsible for developing advanced statistical models that will provide insight to Supply Chain leaders and leaders from other stakeholder groups in an effort to optimize resources to reduce cost for CHI. Works with analysts in other functional areas to provide comprehensive models and recommendations for data governance standards. Assess various supply chain operations costs in order to identify and shape cost reduction initiatives. Technical Skill Set + Data Preprocessing: Clean, transform, and prepare data for development and analysis within a data warehouse composed of supply chain information. Ensure data quality, integrity, and consistency. + Development: Use Python and SQL to build and maintain automation processes, such as RPA and email bots, utilizing tools like relay servers and workflow schedulers for internal use by a wide range of supply chain professionals. + Data Integration: Design, code, and maintain data pipelines that bring together disparate healthcare data sources, including Electronic Health Records (EHR) systems, Enterprise Resource Planning (ERP) systems, and external data feeds from SFTP servers and APIs with a heavy emphasis on cloud-based solutions. Ensure that data is collected, stored, and processed efficiently for analysis. + Data Analysis: Analyze large and complex healthcare datasets to identify patterns, trends, and anomalies. Use statistical techniques to draw meaningful conclusions from data. + Error Handling: Provide advanced technical support on application performance issues, determine root causes, and implement system fixes and improvements. + Data Architecture: Build data storage, data warehousing, cloud integration, and data modeling strategies to support data analytic initiatives effectively. + Data Visualization: Create compelling data visualizations and dashboards to communicate findings and insights to non-technical stakeholders. + Machine Learning: Develop and implement predictive models, classification algorithms, and other machine learning techniques to solve supply chain oriented problems, such as automating supply chain processes and resource allocation optimization. Development Practices + Coding Standards: Write code that meets internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. + Agile: Work in an agile environment across developers, analysts, project managers, leaders, and stakeholders utilizing Azure DevOps or a similar project management system. + Pair Programming: Actively participate in pair programming sessions with fellow data scientists involving a driver, a person who writes the code, and a navigator, a person who reviews each line of code. + Dynamic Environment: Function independently on multiple programming projects with competing priorities and adapt quickly to new ideas and disparate data environments like Oracle and Redshift. + Data Security and Compliance: Ensure that all data handling and analysis comply with relevant healthcare regulations and protect patient privacy. + Continuous Improvement/Continuous Development (CI/CD): Adopts a continuous improvement culture seeking to make good processes better and to elevate those that need work. + Research and Development: Stay up-to-date with the latest advancements in healthcare analytics and data science, and actively contribute to the development of innovative solutions. Collaboration and Communication + Collaboration: Collaborate with cross-functional teams, such as, data engineers, SMEs, and IT professionals, to understand data requirements, business objectives, and supply chain workflows. + Stakeholder Interaction: Work collaboratively with various stakeholders of differing backgrounds. Being able to explain complex technical concepts in simple terms. + Presentation: Story-telling with data in a coherent manner to communicate the significance of analysis and findings. + Understanding Business Objectives: Comprehend business requirements behind analysis, which involves actively engaging with stakeholders to grasp their needs, challenges, and objectives. + Reporting: Collaborate to develop and refine reports and ad-hoc queries for presentations that convey key findings and their potential impact on healthcare operations so stakeholders can make informed decisions. Remote eligible. The job summary and responsibilities listed above are designed to indicate the general nature of the work performed within this job. They are not designed to contain or be interpreted as a comprehensive inventory of all job responsibilities required of employees assigned to this job. Employees may be required to perform other duties as assigned. **Job Requirements** + Bachelors Of Arts in related field from four year college or university + Bachelors Of Science in related field from four year college or university + An equivalent combination of education and experience may be considered + Minimum of 5 years of experience in data scientist role + Able to function independently, adapt quickly to changing environments and open to new ideas + Focuses on skill-building and role modeling at all levels of the organization to ensure a consistent approach to budgeting and analytics; + Adopts a continuous improvement culture, seeking to make good processes better and to elevate those that need work; + Capable of maintaining an independent perspective without losing collaborative nature, trust and respect; + Knowledge of advanced analytic tools, software and coding experience; + Knowledge of databases and programming languages to manipulate data; + Ability to extract, combine and organize large data sets; + Ability to prepare quick pointed summaries for executives and stakeholders; + Capability to translate the technical aspects of quality to what it means for the business, both top and bottom line; + Ability to work with mathematical concepts related to financial cost analysis. + Track record of data-driven decision making, with a thirst for analytics and an ability to incorporate insights from data sources into organizational strategy development; + Ability to write reports, business correspondence, and procedure manuals; + Must be proficient with Word, Excel, PowerPoint Access and Outlook; + Technical skills in relevant software (e.g., SQL, Python, C++) + Preferred - Knowledge of the supply chain and healthcare operations **Where You'll Work** Inspired by faith. Driven by innovation. Powered by humankindness. CommonSpirit Health is building a healthier future for all through its integrated health services. As one of the nation's largest nonprofit Catholic healthcare organizations, CommonSpirit Health delivers more than 20 million patient encounters annually through more than 2,300 clinics, care sites and 137 hospital-based locations, in addition to its home-based services and virtual care offerings. CommonSpirit has more than 157,000 employees, 45,000 nurses and 25,000 physicians and advanced practice providers across 24 states and contributes more than $4.2 billion annually in charity care, community benefits and unreimbursed government programs. Together with our patients, physicians, partners, and communities, we are creating a more just, equitable, and innovative healthcare delivery system. **Pay Range** $54.76 - $81.45 /hour We are an equal opportunity employer.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Turner & Townsend is a global professional services company with over 22,000 people in more than 60 countries. Working with our clients across real estate, infrastructure, energy and natural resources, we transform together delivering outcomes that improve people's lives. Working in partnership makes it possible to deliver the world's most impactful projects and programs as we turn challenge into opportunity and complexity into success. Our capabilities include program, project, cost, asset and commercial management, controls and performance, procurement and supply chain, net zero and digital solutions. We are majority-owned by CBRE Group, Inc., the world's largest commercial real estate services and investment firm, with our partners holding a significant minority interest. Turner & Townsend and CBRE work together to provide clients with the premier program, project and cost management offering in markets around the world. Job Description Turner & Townsend are engaged to support our client with many complex projects, and we are seeking the ideal Construction Cost Data Analyst responsible for data management, analytics and dashboard reporting development for our technology client's Global Data Center Portfolio. As part of this role, you may also be required to perform cost management duties for related projects. Responsibilities: * Analyze cost trends, issues and opportunities for a global data center portfolio. Projects are across various regions, in different construction stages and ranging from small colocation fit-out to large hyperscale lease. * You will likely perform a variety of analyses such as benchmarking, trend identification, growth forecasting to add value to problem-solving discussions. * Provide insights and/or recommendations based on analysis to facilitate internal initiatives. * Ability to present analysis findings in a clear concise and professional manner. * Identify ways to improve and streamline processes with the use of software tools and/or automation. * Review contractor and subcontractor pricing against benchmarks, including identifying and negotiating outliers. * Develop and maintain project cashflow forecasts and accruals on a monthly basis. * Analyze project budgets against program-wide benchmarks and ongoing cost trends. * If necessary, provide recommendations to the client on project funding needs based on those benchmarks and cost trends. * Support the client in compiling information required for capital planning requests (funding). * SOX control responsibilities may be part of this role, which are to be adhered to where applicable. Qualifications * Minimum of 4 years of using technical skills such as benchmarking, data modeling, and statistical methods to solve problems. * Previous commercial experience in data center or industrial / manufacturing projects. * Advanced software skills in Excel and Power BI Dashboards. * UAT/QA experience is helpful. * Strong presentation skills and ability to thrive in a client-facing role. * Good organization skills, ability to multi-task, prioritize, and be a team player. Additional Information * On-site presence and requirements may change depending on our clients' needs.* Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change. We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance. Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community. Please find out more about us at ************************** Turner & Townsend does not accept any speculative or unsolicited CV's that have been sent to our internal recruitment team or hiring managers from agencies outside of our preferred supplier list or that have not followed due process. Any speculative or unsolicited CV's will be treated as a direct application. All your information will be kept confidential according to EEO guidelines. #LI-MB1 Join our social media conversations for more information about Turner & Townsend and our exciting future projects: Twitter Instagram LinkedIn It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.

Salary Range\: $78,000.00 to $124,750.00 annually + bonus + benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives 6% Company Match on retirement savings plan Free financial coaching and financial well-being support Comprehensive medical, dental, vision, life insurance, and disability benefits Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window\: https\://******************* Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Team Description The Global Merchant & Network Services (GMNS) organization is responsible for managing relationships with millions of Merchants and Partners around the world that facilitate American Express acceptance and enabling the day-to-day operations of our company's payment network. The people, processes, and technology that support this vital function are evolving to improve the merchant experience and economics. Within GMNS, the Global Strategy, Operations & Performance (GSOP) team's mission is to deliver a best-in-class premium merchant member experience that will get merchant to not only accept American Express but openly welcome and recommend us to their customers. The GMNS Data Office is responsible for bringing GMNS critical data elements and applications under the Enterprise Data Management Operating Policy (AEMP70) and Enterprise Data Risk Management Policy (AEMP79) compliance. Our team is dedicated to helping American Express leverage the true value of data through application of Data Management and Governance principles. Role Description As a Analyst, Data Governance & Management, you are part of a team responsible for supporting activities for the day-to-day compliance with the Enterprise Data Management Operating Policy within your domains/business units. You and your team are responsible for identifying critical data, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Incidents are remediated. You will partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise. Other Primary Responsibilities: Responsible for supporting the Data Steward in identifying data incidents, performing root-cause-analysis of data incidents and driving remediation of audit and regulatory feedback. Develop advanced knowledge on the Enterprise Data Management Operating Policy in order to support the Data Steward in the execution of their role. Responsible for holistic platform data quality monitoring, including but not limited to key reports. Assist in the identification of data risk, working with upstream data providers, downstream business partners, as well as technology teams. Support the Data Steward in in the establishment, maintenance, and testing of controls to manage data risk within their business unit. Support function for creation of controls to mitigate Data Quality risk, Fit for purpose risk and Data Steward risk as part of RCSA assessments. Coordinate with Business Units and other Business Unit Data Offices to ensure System level Lineage is documented completely and accurately Build advanced platform expertise to influence the identification of critical data elements and contribute to the roadmap to govern the data elements. Responsible to partner with the Data Steward in developing and managing the data management roadmap. Collaborate with and influence product managers to ensure all new use cases are managed according to policy. Minimum Qualifications: Bachelor's degree in business, analytics, information systems, computer science, engineering, or any other data-related field. Strong communications skills. Familiarity of current and upcoming data governance, data management and data product techniques and trends. Eagerness to test, learn, fail and improve is crucial. Must have a positive, collaborative leadership style with colleagues and customer first attitude. Preferred Qualifications: Certification as a Data Management Professional (CDMP) or other similar data management certification preferred. Certifications and experience working within the Collibra Data Intelligence Platform, MANTA, or other similar Data Governance tools preferred. Incident management and reporting, risk/data risk management, data breach management, data classification and handling, data quality monitoring and improvement, and data governance/compliance management experience preferred. Working knowledge of SQL & Python or other programming language preferred. Prior experience with Agile or SAFe project methodologies preferred. Guardian

**What Data Analytics brings to Cardinal Health:** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Analytics applies business process knowledge and data analytics to develop, recommend and communicate timely, accurate, relevant and actionable insights to support business decisions and objectives. As a Data Analyst within our Digital Solutions team, you'll play a key role in transforming data into actionable insights that drive business decisions. You'll work across teams to build scalable analytics solutions, support data governance, and contribute to the modernization of our reporting and analytics platforms. **What is expected of you and others at this level** Independently applies analytical and technical skills to solve moderately complex business problems. Demonstrates sound judgment and attention to detail in data interpretation and solution design. Works cross-functionally to clarify requirements and deliver actionable insights. Communicates findings clearly to technical and non-technical audiences. Begins to identify opportunities for process improvement and automation. Participates in project planning and contributes to business case development. **Responsibilities** + Translate business needs into analytical solutions using SQL, Python, and visualization tools. + Perform data exploration, profiling, and cleansing to ensure high-quality insights. + Build and maintain dashboards and reporting solutions using Tableau, Looker, or similar tools. + Apply descriptive and inferential statistics to identify trends, forecast outcomes, and support decision-making. + Collaborate cross-functionally to define requirements and deliver iterative analytics solutions. + Document business processes and data flows to support transparency and governance. + Contribute to data product development and participate in agile delivery cycles. + Support data governance and quality initiatives through adherence to standards and proactive issue identification. **Qualifications** + Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Business Analytics) or equivalent experience. + 4-8 years of experience in data analytics or business intelligence preferred. + Proficiency in SQL and Python; experience with R is a plus. + Experience with cloud-based data platforms (e.g., GCP BigQuery, Databricks, or Snowflake). + Strong skills in data visualization tools (e.g., Tableau, Looker, Power BI). + Familiarity with statistical methods and hypothesis testing. + Knowledge of Alteryx or similar data prep tools preferred. + Experience working in agile or iterative development environments. **Anticipated salary range:** $80,900 - $115,500 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 10/15/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Title: Data Scientist Department: Baseball Operations Reporting to: Assistant GM, Baseball Development & Technology Job Classification: Full-time, Exempt Full-time Location (City, State): Mesa, AZ About the A's: The A's are a baseball team founded in 1901. They have a rich history, having won nine World Series championships and 15 American League pennants. The A's are known for pioneering the "Moneyball" approach to team-building, which focuses on using statistical analysis to identify undervalued players. In addition to their success on the field, the A's also have a positive and dynamic work culture. They have been recognized twice as the Front Office Sports, Best Employers in Sports. The A's are defined by their core pillars of being Dynamic, Innovative, and Inclusive. Working for the A's offers the opportunity to be part of an innovative organization that values its employees and strives to create a positive work environment. Description: The A's are hiring for a full-time Data Scientist for the Baseball Operations Department. The Data Scientist will construct statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong experience in statistics, data analytics, and computer science. This position is primarily based out of Mesa, AZ. Responsibilities: Design, build, and maintain predictive models to support player evaluation, acquisition, development, and performance optimization. Collaborate with Baseball Analytics staff to integrate analytical findings into decision-making tools and ensure seamless implementation. Analyze and synthesize large-scale data, creating actionable insights for stakeholders within Baseball Operations. Research and implement advanced statistical methods, including time series modeling, spatial statistics, boosting models, and Bayesian regression, to stay on the cutting edge of sabermetric research. Develop and maintain robust data modeling pipelines and workflows in cloud environments to ensure scalability and reliability of analytical outputs. Produce clear, concise written reports and compelling data visualizations to communicate insights effectively across diverse audiences. Stay current with advancements in data science, statistical methodologies, and player evaluation techniques to identify and propose new opportunities for organizational improvement. Mentor team members within the Baseball Operations department, fostering a collaborative and innovative research environment. Requirements: PhD in Mathematics, Statistics, Computer Science, or a related quantitative field. Proficiency in SQL, R, Python, or other similar programming languages. Strong understanding of modern statistical and machine learning methods, including experience with predictive modeling techniques. Proven experience productionizing machine learning models in cloud environments. Ability to communicate complex analytical concepts effectively to both technical and non-technical audiences. Demonstrated ability to independently design, implement, and present rigorous quantitative research. Passion for sabermetric research and baseball analytics with a deep understanding of player evaluation methodologies. Strong interpersonal and mentoring skills with a demonstrated ability to work collaboratively in a team-oriented environment. Preferred Qualifications: Expertise in time series modeling, spatial statistics, boosting models, and Bayesian regression. Previous experience in sports analytics, ideally baseball, is a plus. Familiarity with integrating biomechanical data into analytical frameworks. The A's Diversity Statement: Diversity Statement Diversity, Equity, and Inclusion are in our organizational DNA. Our commitment to these values is unwavering - on and off the field. Together, we continue to build an inclusive, innovative, and dynamic culture that encourages, supports, and celebrates belonging and amplifies diverse voices. Combining a collaborative and innovative work environment with talented and diverse team members, we've created a workforce in which every team member has the tools to reach their full potential. Equal Opportunity Consideration: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

Job Title: Junior Data Scientist - Multi-Agent Systems, Analytics, and Insights Seniority Level: Intern to Junior Industry: AI and Healthcare SaaS Employment Type: Full-time Mission Transform the way patients and providers communicate through intelligent, data-driven systems. 2025 Goal Support one million patients with real-time AI-powered communication and operational insight. About Peerlogic Peerlogic is redefining front office operations for dental and veterinary practices. Our conversational AI assistant, Aimee, turns every call into a revenue opportunity. We are building the most intelligent patient engagement platform in healthcare-and we're looking for builders who want to help ship high-impact product features powered by data. Role Overview We're hiring a Junior Data Scientist to join our multi-agent systems and product analytics team. This is a product-oriented role-not research-focused-where you'll build features, monitor system performance, recommend improvements, and collaborate with engineering in an agile, fast-paced environment. You'll use data to improve how our AI agents work and scale across thousands of practices. What You Will Own • Build and enhance product features based on LangGraph multi-agent orchestration • Monitor system performance and behavior in production • Investigate and triage bugs or regressions through data analysis • Recommend improvements and automation opportunities • Collaborate with engineers, designers, and product managers in an agile product team • Focus on delivering high-quality, reliable solutions that impact real users Requirements • Master's degree in Data Science, Computer Science, AI, or related field preferred • Equivalent hands-on experience in applied analytics or data-driven product work also considered • Strong Python skills (pandas, NumPy, seaborn, matplotlib); working knowledge of SQL • Comfortable working with production data, debugging with metrics, and making actionable recommendations • Experience with agile development and cross-functional collaboration • Familiarity with LangGraph, LangChain, or AI orchestration tools is a plus • Exceptional communication and a bias toward execution and product delivery Why Peerlogic • Work on real features that ship into production and improve patient experiences • In-office mentorship, fast feedback loops, and close collaboration with senior talent • Competitive compensation and equity • Defined salary progression at 3, 6, and 12 months

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a dedicated Principal Data Scientist, you will leverage technical expertise and industry experience to influence the application, scalability, and enablement of artificial intelligence/machine learning (AI/ML) across USAA's enterprise, including key bank operations such as call center optimization, complaints program analytics, and digital servicing enhancements. This includes driving intelligent automation and personalization through next best action recommendations and predictive servicing strategies. You will identify novel opportunities for advanced analytics solutions, effectively communicate with business leaders, product teams, and other key stakeholders, and guide end-to-end solution development, IT implementation, and business adoption. You will provide strategic guidance to executive leadership by seeking, vetting, proposing, and enabling “best in class” tools and technologies. Additionally, you will collaborate with IT Architecture and leadership to ensure data and analytics tools align with USAA's strategic vision and operational priorities. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC or Tampa, FL. Relocation assistance is available for this position. What you'll do: Identifies, researches, and defines large-scale, cross-functional AI/ML use cases in collaboration with business leaders, executive peers, and strategic partners. Guides end-to-end efforts to develop scalable, efficient, highly-performant, automated AI/ML solutions. Applies deep expertise to amplify the impact of modeling techniques on emerging business initiatives. Collaborates with IT architects to design, implement, monitor, and scale cutting-edge AI/ML solutions that translate prototypes into novel products, services, and features. Ensures that AI/ML solutions are built using industry best practices, and sound methodology. Works with model risk partners to promote a culture of regulatory compliance. Designs large, complex information assets that enable applied analytics. Collaborates with engineering, data, and information architects to establish and maintain well-governed, documented, and controlled datasets from internal and external, structured, and unstructured sources. Seeks opportunities to simplify, modernize, and standardize the model development lifecycle. Provides expert technical advice and guidance by vetting vendor acquisitions. Actively raises the bar on talent and recruitment by leading or participating in communities of practice, talent development initiatives, and technical interview panels. Clearly translates complex analytical and technical concepts to diverse, technical, and non-technical audiences in a way that promotes organizational data literacy and informs business priorities. Provides technical oversight for building and maintaining a robust library of reusable, production-quality algorithms and supporting code. Develops and maintains academic and industry relationships for research purposes. Represents USAA in key internal/external technology and advanced analytics conferences. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline. 10 years of progressive experience in predictive analytics or data analysis, to include 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 6 years of experience in one or more dynamic scripted language (such as Python, R, etc.) with a focus on writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Subject matter expert in the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc. Subject matter expert in the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Deep hands-on experience building, deploying, and managing the performance of advanced analytics solutions. Proven track record of providing cutting-edge solutions that drive business adoption and value. Extensive project management experience and can anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating and escalating potential impediments and limitations to leadership. Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. Extensive experience explaining and influencing complex technology decisions to both technical and nontechnical audiences at all levels in the organization and with cross functional and enterprise teams. Demonstrated experience leading business or product/portfolio transformation through use of advanced analytics. What sets you apart: Applied expertise in machine learning, NLP, and generative AI, with hands-on experience developing agent-based AI solutions tailored to banking operations such as call center automation, digital servicing, and complaints resolution. Proven leadership in technology research, strategy, and enterprise-scale implementation, particularly in Generative AI initiatives that enhance customer engagement, streamline servicing workflows, and support regulatory compliance across functional areas. Strong ability to translate business needs into technical solutions, driving innovation in customer experience, contact center performance, underwriting efficiency, and next best action recommendations through advanced AI applications and intelligent decisioning systems. Compensation range: The salary range for this position is: $217,520 - $415,760. Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

** Turner & Townsend is a global professional services company with over 22,000 people in more than 60 countries. Working with our clients across real estate, infrastructure, energy and natural resources, we transform together delivering outcomes that improve people's lives. Working in partnership makes it possible to deliver the world's most impactful projects and programs as we turn challenge into opportunity and complexity into success. Our capabilities include program, project, cost, asset and commercial management, controls and performance, procurement and supply chain, net zero and digital solutions. We are majority-owned by CBRE Group, Inc., the world's largest commercial real estate services and investment firm, with our partners holding a significant minority interest. Turner & Townsend and CBRE work together to provide clients with the premier program, project and cost management offering in markets around the world. **Job Description** **Turner & Townsend** are engaged to support our client with many complex projects, and we are seeking the ideal **Construction Cost Data Analyst** responsible for data management, analytics and dashboard reporting development for our technology client's Global Data Center Portfolio. As part of this role, you may also be required to perform cost management duties for related projects. **Responsibilities:** + Analyze cost trends, issues and opportunities for a global data center portfolio. Projects are across various regions, in different construction stages and ranging from small colocation fit-out to large hyperscale lease. + You will likely perform a variety of analyses such as benchmarking, trend identification, growth forecasting to add value to problem-solving discussions. + Provide insights and/or recommendations based on analysis to facilitate internal initiatives. + Ability to present analysis findings in a clear concise and professional manner. + Identify ways to improve and streamline processes with the use of software tools and/or automation. + Review contractor and subcontractor pricing against benchmarks, including identifying and negotiating outliers. + Develop and maintain project cashflow forecasts and accruals on a monthly basis. + Analyze project budgets against program-wide benchmarks and ongoing cost trends. + If necessary, provide recommendations to the client on project funding needs based on those benchmarks and cost trends. + Support the client in compiling information required for capital planning requests (funding). + SOX control responsibilities may be part of this role, which are to be adhered to where applicable. **Qualifications** + Minimum of 4 years of using technical skills such as benchmarking, data modeling, and statistical methods to solve problems. + Previous commercial experience in data center or industrial / manufacturing projects. + Advanced software skills in Excel and Power BI Dashboards. + UAT/QA experience is helpful. + Strong presentation skills and ability to thrive in a client-facing role. + Good organization skills, ability to multi-task, prioritize, and be a team player. **Additional Information** **_*On-site presence and requirements may change depending on our clients' needs.*_** _Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change._ _We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance._ _Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community._ _Please find out more about us at_ _*************************** _Turner & Townsend does not accept any speculative or unsolicited CV's that have been sent to our internal recruitment team or hiring managers from agencies outside of our preferred supplier list or that have not followed due process. Any speculative or unsolicited CV's will be treated as a direct application._ _All your information will be kept confidential according to EEO guidelines._ \#LI-MB1 Join our social media conversations for more information about Turner & Townsend and our exciting future projects: Twitter (*********************************** Instagram LinkedIn (**************************************************** _It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time._ _Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review._

As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist Manager, Central Product Platform Responsibilities: 1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions 2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals 3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals 4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities 5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches 6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact 7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance 8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor 9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers **Minimum Qualifications:** Minimum Qualifications: 10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience 11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams 12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers 13. Proven track record of leading high-performing analytics teams 14. Experience communicating both in low-level technical details as well as high-level strategies 15. Track-record driving product roadmap and execution 16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering **Preferred Qualifications:** Preferred Qualifications: 17. Experience supporting analytic platforms, working with cross company stakeholders, and prioritizing features based on multiple goals 18. Ideally a background in experimentation and survey research 19. Familiarity with ML and AI operationalization. Specifically measurement, goaling, and performance optimization **Public Compensation:** $error/year to $error/year + bonus + equity + benefits We apologize for the inconvenience, please be patient as we work to correct the issue. **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**What Data Analytics brings to Cardinal Health:** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Analytics applies business process knowledge and data analytics to develop, recommend and communicate timely, accurate, relevant and actionable insights to support business decisions and objectives. As a Data Analyst within our Digital Solutions team, you'll play a key role in transforming data into actionable insights that drive business decisions. You'll work across teams to build scalable analytics solutions, support data governance, and contribute to the modernization of our reporting and analytics platforms. **What Data Analytics brings to OptiFreight** OptiFreight, a leader in healthcare logistics, provides tailored solutions, committed experts, and innovative technology to optimize freight management and supply chain operations for healthcare providers. The Digital Solutions team is at the forefront of leveraging technology and data to drive efficiency, reduce costs, and enhance overall customer experience through advanced digital tools and platforms. **What is expected of you and others at this level** Independently applies analytical and technical skills to solve moderately complex business problems. Demonstrates sound judgment and attention to detail in data interpretation and solution design. Works cross-functionally to clarify requirements and deliver actionable insights. Communicates findings clearly to technical and non-technical audiences. Begins to identify opportunities for process improvement and automation. Participates in project planning and contributes to business case development. **Responsibilities** + Translate business needs into analytical solutions using SQL, Python, and visualization tools. + Perform data exploration, profiling, and cleansing to ensure high-quality insights. + Build and maintain dashboards and reporting solutions using Tableau, Looker, or similar tools. + Apply descriptive and inferential statistics to identify trends, forecast outcomes, and support decision-making. + Collaborate cross-functionally to define requirements and deliver iterative analytics solutions. + Document business processes and data flows to support transparency and governance. + Contribute to data product development and participate in agile delivery cycles. + Support data governance and quality initiatives through adherence to standards and proactive issue identification. **Qualifications** + Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Business Analytics) or equivalent experience. + 4-8 years of experience in data analytics or business intelligence preferred. + Proficiency in SQL and Python; experience with R is a plus. + Experience with cloud-based data platforms (e.g., GCP BigQuery, Databricks, or Snowflake). + Strong skills in data visualization tools (e.g., Tableau, Looker, Power BI). + Familiarity with statistical methods and hypothesis testing. + Knowledge of Alteryx or similar data prep tools preferred. + Experience working in agile or iterative development environments. **Anticipated salary range:** $80,900 - $115,500 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/15/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Job Description American Express engages with thousands of third parties to provide goods and services. To ensure we protect our brand, avoid financial impact and adhere to various laws and regulations, all high-risk third parties are subject to risk management throughout the third-party lifecycle. The GSM Third-Party Center of Excellence (COE) Reporting & Analytics team is responsible for the data management, transformation, analysis, and visualization of insights in support of the third-party management program. This team produces reporting and analytics for various stakeholders including the Third-Party COE, AXP Business Units, Management Committees and Risk Subject Matter Experts. Our Third-Party COE Reporting & Analytics team not only understands how process, technology and systems work, but how the information is used to generate valuable and actionable insights for our program stakeholders. So, if you're interested in a career in analytics, machine learning and data strategy, creating breakthrough analytical products and making an impact on our internal customers and third parties, look no further. In this role as Data Analyst, the successful candidate will be responsible for understanding analytical requirements, data transformation, applying statistical tools and data visualization for the Third-Party COE. The candidate will drive success of the analytical reports by working closely with program stakeholders, maintaining a strong project management framework, developing transformation logic, and providing value-added reporting. Responsibilities: Drive Analytical capabilities in support of GSM and AXP Business Units Analyze the existing environment and derive opportunities, recommend alternative solutions to technical problems. Deliver high quality and accurate results in a timely manner. Enhancing data collection procedures to include information that is relevant for building analytic models and systems. Processing, cleansing, and verifying the integrity of data used for analysis. Propose and implement solutions to ad-hoc business problems, working independently to leverage data, drive insights, and presenting results in a clear and concise manner. Predictive Analysis and visualization Creating automated anomaly detection systems and constant tracking of its performance Meticulous attention to details while preserving the goal and timeframe of end products Translate requirements into concepts and user experience design - associate with stakeholders/ business partners to enhance design suggestions. Drive Data strategy initiatives Minimum Qualifications: 2+ years of experience in Analytics. Bachelor's or Master's degree relevant to the industry (other credentials will be a plus) Strong analytical bend and experience on analytics tools in Excel, Tableau, SQL, Alteryx etc. Proficiency in dealing with large quantities of complex data and ability to derive actionable insights. Strong communication and relationship building skills. Proven ability to create powerful analytics and reporting is a must. Strong performance behavior in previous role. Excellent Visual Design skills with sensitivity to user-system interaction - experience in developing reporting solutions towards complex multi-paneled, interactive dashboards. Ability to communicate complex ideas in a simple manner to a global audience. Independent and self-motivated, capable of executing under uncertainty with multiple priorities, in a fast-paced environment. Preferred Qualifications: Third-party risk reporting knowledge would be preferred. Guardian Salary Range\: $65,500.00 to $102,500.00 annually + bonus + benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives 6% Company Match on retirement savings plan Free financial coaching and financial well-being support Comprehensive medical, dental, vision, life insurance, and disability benefits Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window\: https\://******************* Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.