Applied Data Scientists
Data science internship job in Oro Valley, AZ
**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities**
● Translate business questions into data science problems and analytical workflows
● Conduct data wrangling, exploratory analysis, and hypothesis testing
● Develop statistical models and predictive tools for decision support
● Create compelling data visualizations and dashboards for business users
● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications**
● 5+ years of applied data science or analytics experience in business settings
● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills
● Experience with data visualization tools (e.g., Tableau, Power BI)
● Solid understanding of statistical modeling, experimentation, and A/B testing
● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity**
● Remote
● **Expected commitment: min 30 hours/week
● Project duration: ~6 weeks** **5\. Compensation & Contract Terms**
● $75-100/hour
● Paid weekly via Stripe Connect
● You'll be classified as an independent contractor **6\. Application Process**
● Submit your resume followed by domain expertise interview and short form **7.About Mercor**
● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations
● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey
● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI
Defense Strategy Data Analyst (Crime Analyst)
Data science internship job in Florence, AZ
Are you ready to use the power of data to drive indigent representation reform? Our well-funded Public Defense Services is seeking a highly motivated Defense Strategy Crime Analyst to join our team at the forefront of indigent defense innovation. This is not a passive reporting role; you will be the data informer at the strategy table, directly influencing the decisions about attorney caseloads, resource allocation, and client outcomes. You will launch and oversee new, critical research projects and establish data partnerships across the justice system, paving the way for the adoption of new indigent defense standards. This position offers wide-open opportunities to make a real lasting difference, setting precedents not only for Arizona but nationally, as you help define the future of constitutional public defense. Join us to leverage data, champion fairness, and become a crucial architect of change.
Under general supervision and in accordance with the standards of the crime analysis profession, analyze crime, call-for-service, crash, and other law enforcement datasets for tactical, strategic, investigative, and administrative purposes. Identify and analyze patterns and trends, generate periodic statistical reports, prepare forecasts, and issue reports valuable to all levels of the agency. Manage data and prepare analysis for Public Defense Services, and perform related duties and tasks as assigned by the PDS Director.
Read more about the position and see if it is a good match for you. We are growing so be sure to check out all of our other opportunities as well!
* An Employer that Values Each Employee and Prioritizes a Work Experience that Provides Ample Time for Stress Reduction and Work-Life Balance.
* Paid Vacation And Sick Leave
* 15 Vacation Days Accrued Annually Starting Day One
* After Three (3) Years of Service, 18 Vacation Days Accrued Annually
* After Five (5) Years of Service, 20 Vacation Days Accrued Annually
* Ten Paid Holidays + One Paid Floating Holiday to Use as You Wish
* 13 Sick Leave Days Accrued Annually Starting Day One
* Paid Sabbaticals Every Five (5) Years
* Two-Week Sabbatical After Five Years of Continuous Service
* Three-Week Sabbatical After Ten Years of Continuous Service
* Four-Week Sabbatical After Fifteen Years of Continuous Service
* Four-Week Sabbaticals Every Five Years After Fifteen Years of Continuous Service
* Comprehensive Wellness Program
* Quarterly Wellness Challenges
* Vision Exams and Optometry Events Onsite
* Vaccination Clinics
* Onsite Mammogram and Prostate Screening Events
* Skin Cancer Screening Events Onsite
* Biometrics and Health Screening Events Onsite
* Financial Health and Retirement Planning Events Onsite & Online
* Fitness Resources and Onsite Sessions Like Yoga and Tai Chi
* Retirement Plans with Generous Employer Contributions - Guaranteed Lifetime Benefit!
* Variety of Top Tier Affordable Medical Plans - Six Different Medical Plans to Choose From
* Some Medical Plans with Zero Employee Premium Cost
* Dental and Vision Plans
* Tuition Reimbursement Program
* Alternative Work Schedules
* Telehealth
* Qualified Employer - Public Service Loan Forgiveness Program - Department of Education
* Employee Assistance Program with Ongoing Training & Development Options
* Civil Service Leave
* VanPool Options
* Short-Term Disability - Employer Paid
* Basic Life Insurance - Employer Paid
* Flexible Spending Accounts for Dependent Care and Medical Expenses
Suite of Voluntary Benefits including additional Life, Accident, Critical Illness & Cancer Insurance
Additionally, collaborate with a talented team committed to making Pinal County an outstanding place for residents and staff. Working at Pinal County is an investment in YOU.
Apply today and find out why Pinal County is more than just a job.
Before you apply, watch this video to learn helpful tips for completing an application at Pinal County:
Application Tips
* Collect, analyze, and interpret data and statistics using quantitative and qualitative methods.
* Interpret and summarize crime reports and statistics on criminal activity in order to identify existing patterns and trends.
* Prepare and present complex and detailed statistical reports to leadership and other relevant stakeholders.
* Develop hypothetical links between criminals, organized crime groups, and their impact on Pinal County.
* Provide analytical case support to staff, and attorneys to support their representation.
* Establish, interact and maintain working relationships with other criminal justice agencies to aid in information sharing between jurisdictions.
* Attend local, regional and state-wide meetings for Public Defense Services.
* Communicate and respond to requests for various information and statistical reports to leadership and public on public defense activities by providing findings and recommendations.
* Use computer databases, electronic spreadsheets, desktop publishing, word processing, and statistical applications to manipulate, analyze, and present data.
* Prepare periodic comparison reports for crime and accident analytics.
* Review and ensure completeness and accuracy of analytical products produced.
* Locate and export data to produce analytical or intelligence products from relational databases.
* Maintains absolute confidentiality of work-related issues, customer records and restricted County information; performs related duties as required or assigned.
* To promote and adhere to the workplace values of accountability, commitment, and teamwork to help enrich lives beyond expectation.
Position Specific Duties
* Analyze attorney caseload data and metrics to identify resource allocation needs
* Oversee and manage research projects related to indigent representation, including data collection and analysis of outcomes, case processing times, and systemic inefficiencies.
* Establish and maintain collaborative data partnerships with other system agencies to perform comparative analysis and system-wide change efforts.
* Develop data-drive reports on social justice indicators to inform county-wide policy modifications and training efforts.
* Bachelor's Degree in Criminal Justice, Social Sciences, Business or Public Administration or a related field
* one (1) year of experience in analyzing crime data, statistical analysis and/or data research/analysis
* Must pass a thorough background investigation
* For ACJIS users - must pass a thorough background investigation and background re-investigation every 5 years.
* Arizona residents must have a valid Arizona Driver's License upon hire; newly established Arizona Residents must have one within 30 days of hire.
* Or an equivalent combination of relevant education or experience may substitute for the minimum requirements
Preferred Qualifications
* IACA Certified Analyst or other Criminal Justice Data Certifications. Demonstrated experience with public defense research methodologies or managing public defense data.
* Knowledge of routine research methods and procedures used in statistical analysis
* Knowledge of the principles and practices of police administration, crime reporting methods and procedures, and of police reporting methods.
* Knowledge of Uniform Crime Reporting (UCR) codes and Arizona Revised Statutes crime reporting codes.
* Skill in personal computers, relational database environment, and related software.
* Skill in effective communication, both orally and written.
* Ability to apply mathematical skills in report preparation and routine analysis.
* Ability to read and critique crime reports and assign crimes to appropriate UCR crime categories.
* Ability to establish and maintain effective working relationships with Public Safety agencies, community organizations, employees and the general public.
* Ability to communicate clearly and concisely, orally and in writing.
* Ability to operate a personal computer and related software and demonstrate proficiency to prepare documents, spreadsheets, databases, email and timesheets.
* Ability to prepare accurate and grammatically correct written reports.
* Ability to work nights, weekends and holidays occasionally as needed in the event of time-sensitive investigations or public safety emergencies.
PHYSICAL DEMANDS:
Independent body mobility to stand, walk, bend, and sit for prolonged periods of time and/or drive a vehicle. Manual dexterity to reach, and grasp; manual dexterity to hand write or use computer keyboard; vision sufficient to see/read; hear and speak to communicate with customers in person and over the phone.
WORK ENVIRONMENT:
Work is performed in a dynamic environment that requires the ability to be sensitive to change and responsive to changing goals, priorities, and needs.
NOTICE TO APPLICANTS
We appreciate your interest in our employment opportunities. At Pinal County, we value professionalism and treating others with respect. If these values are not demonstrated throughout the application and interview process we reserve the right to remove your candidacy from consideration and may impact your future Pinal County applications. The hiring salary for this position is dependent upon experience, qualifications and position funding; starting salaries above the first quartile require additional approval.
All qualified candidates eligible to work in the United States are welcome to apply. However, visa sponsorship is not available. Pinal County does not participate in STEM Optional Practical Training (STEM OPT).
Pinal County requires pre-employment screening, which includes a Motor Vehicle Record check, a comprehensive background check (encompassing employment, education, and criminal history), and drug testing for safety-sensitive roles. Criminal convictions do not automatically disqualify candidates from employment. Employment offers are contingent on successful pre-employment screening. If driving is a requirement of the position, you must have a valid Arizona State Driver's License in accordance with Arizona State Law.
Work in this classification requires an individual to be able to perform the essential job functions satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary classification functions herein described. Since every duty associated with this classification may not be described herein, employees may be required to perform duties not specifically spelled out in this classification description, but which may be reasonably considered to be incidental in the performing of their duties, just as though they were actually written out in this description.
Data Science Intern - Summer 2026
Data science internship job in Glendale, AZ
External candidates: In order for your application to be correctly processed please sign-in before you apply
Internal candidates: Please go to Workday and click "Find Jobs" link under Career
Thank you for considering opportunities with us!
Job Title
Data Science Intern - Summer 2026
Requisition Number
R7429 Data Science Intern - Summer 2026 (Open)
Location
Glendale, Arizona
Additional Locations
Arizona - Home Teleworkers
Job Information
CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the top personal lines property and casualty insurance groups in the U.S. Our employees form the heart and soul of fulfilling our enduring purpose to help members prevent, prepare for and recover from life's uncertainties, and we're proud of the culture we create together. As we commit to progress over perfection, we recognize that every day is an opportunity to be innovative and adaptable. At CSAA IG, we hire good people for a brighter tomorrow. Join us and support CSAA Insurance Group, a AAA Insurer, in achieving our goals.
Internship Summary: We are actively hiring for a Data Science Intern! This summer, we are looking for motivated individuals looking to begin a career in our Data Science department to support our Research team. As an intern you will work with our data science team on innovation projects focused on artificial intelligence and machine learning.
CSAA Internship Program: As an intern, you will participate in an 11-week summer internship experience with an emphasis on hands-on learning and real-world immersion into our business. Our interns participate in professional development and job-specific training and plenty of networking opportunities to gain deep understanding of their role and department while also broadening their knowledge of CSAA's business. We offer an Intern Innovation Challenge, executive meet and greets, community service opportunities, and social bonding activities to help you stay connected.
Internship Details: The anticipated dates of our 2026 summer internship will be May 26-August 7. This role can be remote or hybrid based out of our Glendale, AZ office. The anticipated hourly rate for this role is $39.00.
Essential responsibilities
Collaborate with our data science team and business leads to pursue research in areas of high business impact.
Drive CSAA's knowledge of our customers through research projects from data collection to model development.
Provide recommendation based on well-documented, reproducible analysis from large datasets.
Work on a capstone project and present findings to senior management
Ideal Qualifications
Current graduate student pursuing a quantitative or analytically focused degree, ideally graduating December 2026 or later.
Interested to begin a career with a focus on data or statistical analysis.
Familiar with manipulating raw data with Python.
Creative problem solver with a strong interest in machine learning.
High-energy, high-impact individual who can provide statistical insights with data
Self-motivated and results-oriented professional with strong written and verbal communication skills.
Able to influence and effectively manage multiple projects while communicating effectively in front of others
Enthusiastic to learn new concepts and committed to self-development
Has a keen analytical mind with a sharp eye for details
Must have authorization to work indefinitely in the US.
CSAA IG Careers
As part of our values, we are committed to supporting inclusion and diversity at CSAA IG. We actively celebrate colleagues' different abilities, sexual orientation, ethnicity, and gender. Everyone is welcome and supported in their development at all stages in their journey with us.
We are always recruiting, retaining, and promoting a diverse mix of colleagues who are representative of the diversity in the U.S. workforce. This diversity gives us a great opportunity to have access to a broad range of ideas and allows us to give you the wide mix of products you know and expect from CSAA.
At CSAA IG, we're proudly devoted to protecting our customers, our employees, our communities, and the world at large. We are on a climate journey to continue to do better for our people, our business, and our planet. Taking bold action and leading by example. We are citizens for a changing world, and we continually change to meet it.
Let's Work Together
Submit your application to be considered. We communicate via email, so check your inbox and/or your spam folder to ensure you don't miss important updates from us. If reasonable accommodation is needed to participate in the job application or interview process, please contact **************************. CSAA Insurance Group is an equal opportunity employer.
Recognition
We offer 401(k) Plan with a company match, employee rewards and recognition, paid time off and holidays, product discounts, and much more. Please note that this role does not offer a performance bonus.
.
Auto-ApplySenior Configuration & Data Management Analyst I - Secret Clearance
Data science internship job in Tucson, AZ
Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more - all with the goal of opening access space. The rockets and satellites we build, and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations.
Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope.
SPACE SYSTEMS
At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more.
Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions.
SENIOR CONFIGURATION AND DATA MANAGEMENT ANALYST I - SECRET CLEARANCE
Rocket Lab's Optical Systems division solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance (ISR) challenges for Department of Defense (DoD) and Intelligence Community (IC) customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains.
We are looking for a Senior Configuration and Data Management Analyst I based at our Optical Systems site in Tucson, AZ. You will have the opportunity to support internal and external customers and suppliers by providing procedural configuration execution for all projects and programs through their lifecycle. You will be responsible for ensuring that data released, transmitted, or exported is done in accordance with customer, regulatory and company procedures. You will report to the Program Manager.
WHAT YOU'LL GET TO DO:
Develop and implement configuration management plans and procedures to ensure the integrity and traceability of all project artifacts.
Establish and maintain baseline configurations for software, hardware, and documentation throughout the product lifecycle.
Manage the configuration control board (CCB) process, including the review and approval of configuration changes.
Oversee data management activities, including data collection, storage, retrieval, and archival.
Implement data quality control measures to ensure accuracy, completeness, and consistency of data assets.
Examine and analyze documents, drawings, change orders, and specifications to verify completeness and accuracy of data from a control perspective to ensure the data meets the standards before release.
Comply and verify requested configuration of documents, drawings, and models prior to export to customer and/or suppliers.
Prepare data for transmit or export using approved methods for ITAR/EAR control prior to posting to an approved portal site.
Ensure that proper procedures are followed during the release of all engineering changes.
Explain policies, practices, and procedures in support of engineering releases and the turnback process.
Support audits for the company release process as needed
Post customer SDRL deliverables as needed and track the status of rejected items.
Customer Product Data Administration: interface with customer through web tools and ensure customer documentation is downloaded for release in the RLOS release system.
Update the RLOS release system as required, assists with batch loads to support system marking as necessary.
Travel less than 10% internationally and domestically.
Perform other duties as assigned.
YOU'LL BRING THESE QUALIFICATIONS:
Bachelor's degree in engineering or other technical discipline.
5+ years of experience.
Active U.S. Government Secret Security Clearance with TS/SCI eligibility.
Demonstrable experience in utilizing MS Office.
THESE QUALIFICATIONS WOULD BE NICE TO HAVE:
Current SSBI clearance.
Strong analytical and problem-solving skills, with the ability to assess and propose effective solutions.
Excellent management skills, including the ability to prioritize tasks, manage resources, and deliver results within given constraints.
Effective communication and interpersonal skills, with the ability to collaborate with multidisciplinary teams and present technical information to both technical and non-technical stakeholders.
ADDITIONAL REQUIREMENTS:
Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to focus.
Regularly required to sit, use hands and fingers, operate computer keyboard and controls, and communicate verbally and in writing.
Must be physically able to commute to buildings.
Occasional exposure to dust, fumes and moderate levels of noise.
WHAT TO EXPECT
We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way.
Important information:
FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY:
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here.
Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at ***********************.This dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days.
FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY:
For security reasons background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations.
Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.
Auto-ApplyData Analyst
Data science internship job in Phoenix, AZ
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
************
Data Scientist
Data science internship job in Tucson, AZ
Our client, a world leader in diagnostics and life sciences, is looking for a "Data Scientist” based out of Tucson, AZ.
Job Duration: Long Term Contract (Possibility Of Further Extension)
Pay Rate: $60/hr on W2
Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K
Work closely with the assay and algorithm development teams to ensure seamless data integration and maintain data integrity across complex digital pathology projects. Design, develop, and implement robust solutions to automate manual steps within the algorithm development and data management workflows, enhancing efficiency and reproducibility. Perform sophisticated image processing, data analysis, and predictive modeling using large-scale digital pathology datasets. Build, test, and deploy computational tools and algorithms, primarily using Python or similar languages, adhering to high standards of code quality, efficiency, and maintainability.
Leverage your skills in digital pathology, machine learning (ML), artificial intelligence (AI), and GUI development to create impactful solutions and improve algorithm performance. Meticulously maintain the traceability and integrity of all data, including images and associated metadata, ensuring compliance with relevant standards and supporting contractual obligations.
Minimum Qualifications:
Bachelor's degree or higher in Computer Science, Data Science, Engineering, Statistics, or a related quantitative field with 7+ years of relevant experience.
Proven experience developing, testing, and deploying solutions using Python or similar programming languages within a software development lifecycle.
Solid understanding and practical experience in image analysis, machine learning/deep learning techniques, and AI concepts.
Demonstrated ability to perform complex data modeling, processing, and analysis on large or intricate datasets.
Experience developing graphical user interface (GUI) for technical applications or data visualization.
Preferred Qualifications:
Experience working within the life sciences, biotechnology, or pharmaceutical industry, particularly with digital pathology or medical imaging data.
Familiarity with regulatory requirements and compliance standards applicable to medical devices or software as a medical device (SaMD) (e.g., FDA guidance, IVDR).
Proficiency with cloud computing platforms (e.g., AWS, Azure, GCP) and associated services.
Experience utilizing High-Performance Computing (HPC) environments for computationally intensive tasks.
Knowledge of bioinformatics or molecular modeling techniques.
If interested, please send us your updated resume at hr@dawarconsulting.com/***************************
Easy ApplyData Scientist, NLP & Language Models
Data science internship job in Phoenix, AZ
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.
Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types.
As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future.
**You Will:**
+ Play a key role in the success of our products by developing models for NLP (and other) tasks.
+ Perform error analysis, data cleaning, and other related tasks to improve models.
+ Collaborate with your team by making recommendations for the development roadmap of a capability.
+ Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.
+ Understand product use-cases and define key performance metrics for models according to business requirements.
+ Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).
**What You Will Bring to the Table:**
+ Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience.
+ 4+ years of experience with data science and machine learning in an industry setting.
+ 4+ years experience with Python.
+ Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing.
+ Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
+ Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow.
+ Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity.
+ 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.
\#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 (**************************************** .
Data Scientist
Data science internship job in Arizona
Join us for an exciting career with the leading provider of supplemental benefits!
Our Promise
Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
The Data Scientist is responsible for collecting, analyzing, and interpreting large datasets to help organizations make data-driven decisions.
Job Summary:
The Data Scientist is responsible for leveraging their expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets. This person will play a crucial role in helping organizations make data-driven decisions, solve challenging problems and drive data innovation.
Competencies:
Functional:
Collaborate with colleagues in other departments to improve business outcomes
Identify and mine reliable internal and external data sources
Design custom tools to optimize data mining, cleaning, validation and analysis tasks
Develop and apply custom data models and algorithms to data sets
Develop tools and testing models to ensure data accuracy
Create and present reports that detail your findings, recommendations and solutions
Core:
Data Acquisition and Preparation: Identifying relevant data sources, collecting, cleaning, processing, and transforming raw data into a usable format. This often involves dealing with both structured and unstructured data.
Exploratory Data Analysis (EDA): Investigating datasets to uncover patterns, trends, relationships, and anomalies. This stage helps in formulating hypotheses and understanding the data's potential.
Statistical Analysis and Modeling: Applying statistical methods and building mathematical models to analyze data, test hypotheses, and make predictions. This includes a strong understanding of statistical concepts, regressions, and probability.
Machine Learning and Predictive Modeling: Developing, training, and deploying machine learning algorithms and predictive models to forecast outcomes, classify data, and automate processes. This involves selecting appropriate algorithms, feature engineering, and model evaluation.
Data Mining and Pattern Recognition: Utilizing techniques to discover hidden patterns and insights within large datasets, which can be used for tasks like fraud detection or customer behavior prediction.
Experimentation and Hypothesis Testing: Designing and conducting experiments (e.g., A/B testing) to validate hypotheses, measure the impact of changes, and optimize solutions.
Data Visualization and Communication: Presenting complex findings and insights in a clear, concise, and engaging manner to both technical and non-technical stakeholders. This often involves creating reports, dashboards, and compelling visual representations of data.
Behavioral:
Collegiality: building strong relationships on company-wide, approachable, and helpful, ability to mentor and support team growth.
Initiative: readiness to lead or take action to achieve goals.
Communicative: ability to relay issues, concepts, and ideas to others easily orally and in writing.
Member-focused: going above and beyond to make our members feel seen, valued, and appreciated.
Detail-oriented and thorough: managing and completing details of assignments without too much oversight.
Flexible and responsive: managing new demands, changes, and situations.
Critical Thinking: effectively troubleshoot complex issues, problem solve and multi-task.
Integrity & responsibility: acting with a clear sense of ownership for actions, decisions and to keep information confidential when required.
Collaborative: ability to represent your own interests while being fair to those representing other or competing ideas in search of a workable solution for all parties.
Minimum Qualifications:
Bachelor's degree in computer science, Data Science, Math or related field.
5+ years' experience working in healthcare
Demonstrated expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets.
Expertise in designing multi-cloud or hybrid data ecosystems.
5+ years' experience using Java, JavaScript, Python, R or SQL
Experience with business intelligence and data analytics tools such as PowerBI
Familiarity with machine learning techniques and when they should be used
Familiarity with statistical and data mining techniques and when it is appropriate to use them
Strong problem-solving skills
Preferred Qualifications:
Master's degree in data science, Computer Science, or related field.
Experience with AI-driven data architecture and advanced analytics solutions.
Proficiency in cloud-native database management and DevOps practices.
At Avēsis, we strive to design equitable, and competitive compensation programs. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current pay ranges for new hires in each zone are:
Zone A:$81,650.00-$136,090.00 Zone B:$89,060.00-$148,440.00 Zone C:$95,840.00-$159,730.00 FLSA Status: Salary/Exempt
This role may also be eligible for benefits, bonuses, and commission.
Please visit Avesis Pay Zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
We Offer
Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way.
Competitive compensation package.
Excellent medical, dental, supplemental health, life and vision coverage for you and your dependents with no wait period.
Life and disability insurance.
A great 401(k) with company match.
Tuition assistance, paid parental leave and backup family care.
Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent.
Flexible time off, dress code, and work location policies to balance your work and life in the ways that suit you best.
Employee Resource Groups that advocate for inclusion and diversity in all that we do.
Social responsibility in all aspects of our work. We volunteer within our local communities, create educational alliances with colleges, drive a variety of initiatives in sustainability.
How To Stay Safe
Avēsis is aware of fraudulent activity by individuals falsely representing themselves as Avēsis recruiters. In some instances, these individuals may even contact applicants with a job offer letter, ask applicants to make purchases (i.e., a laptop or gift cards) from a designated vendor, have applicants fill out W-2 forms, or ask that applicants ship or send packages of goods to the company.
Avēsis would never make such requests to applicants at any time throughout our job application process. We also would never ask applicants for personal information, such as passport numbers, bank account numbers, or social security numbers, during our process. Our recruitment process takes place by phone and via trusted business communication platform (i.e., Zoom, Webex, Microsoft Teams, etc.). Any emails from Avēsis recruiters will come from a verified email address ending in @ Avēsiscom.
We urge all applicants to exercise caution. If something feels off about your interactions, we encourage you to suspend or cease communications. If you are unsure of the legitimacy of a communication you have received, please reach out to ********************.
To learn more about protecting yourself from fraudulent activity, please refer to this article link (************************************************** If you believe you were a victim of fraudulent activity, please contact your local authorities or file a complaint (Link: ******************************* with the Federal Trade Commission. Avēsis is not responsible for any claims, losses, damages, or expenses resulting from unaffiliated individuals of the company or their fraudulent activity.
Equal Employment Opportunity
At Avēsis, We See You. We celebrate differences and are building a culture of inclusivity and diversity. We are proud to be an Equal Employment Opportunity employer that considers all qualified applicants and does not discriminate against any person based on ancestry, age, citizenship, color, creed, disability, familial status, gender, gender expression, gender identity, marital status, military or veteran status, national origin, race, religion, sexual orientation, or any other characteristic. At Avēsis, we believe that, to operate at the peak of excellence, our workforce needs to represent a rich mixture of diverse people, all focused on providing a world-class experience for our clients. We focus on recruiting, training and retaining those individuals that share similar goals. Come Dare to be Different at Avēsis, where We See You!
Auto-ApplyData Scientist
Data science internship job in Phoenix, AZ
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist Responsibilities:
1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products.
2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
4. Build models of user behaviors for analysis or to power production systems.
5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
6. Design and implement dashboards and reports that track key business metrics and provide actionable insights.
7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.
9. Telecommuting from anywhere in the U.S. allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following
11. Relational database (SQL)
12. Developing in scripting language (Python, R)
13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive)
14. Data Visualization (Tableau)
**Public Compensation:**
$165,787/year to $196,900/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.
Construction Cost Data Analyst
Data science internship job in Phoenix, AZ
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.
Graduate Data Analyst
Data science internship job in Phoenix, AZ
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
M612-Data Analyst 5681.
Data science internship job in Phoenix, AZ
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
Data Analyst 4
Data science internship job in Tempe, AZ
Data Analyst 4 Job ID: 21-11545 Client is seeking a Data Analyst to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems. Job Responsibilities: * Expert level knowledge and experience in complex database structure (preferably in MDM and EDW environment)
* Must have experience writing complex SQL (preferably ORACLE) and experience in Microsoft products - Excel, PowerPoint and Visio
* Must have experience in Analyzing Data Quality, Control and Health Check.
* Identified DQ gaps for various (in few 100s) existing "DQ Health Check batches"
* Independent and pro-active while able to make decision and handle pressure in fast pace environment
* Drive projects from discovery phase to solution proposal to delivery and Coordinate with all impacted line of businesses, IT Partners and various work streams
* Prior experience in Banking and Finance preferred
* Prior PM experience will be helpful
* Thorough understanding and application of principles, standards, industry practices, techniques and concepts
* Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results.
* Demonstrated ability to develop solutions to highly complex and diverse analytical problems which requires an in-depth evaluation of variable factors.
* Must have solid organizational skills, with the ability to handle complex projects in a multi-tasking environment and meet deadlines with quality results.
* Job details
*
Analyst, Data Governance & Management
Data science internship job in Phoenix, AZ
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
Auto-ApplyData Scientist
Data science internship job in Phoenix, AZ
Insight Global is looking to hire a Data Scientist to join one of the largest non-profit healthcare systems in the US. This position is responsible for ensuring the seamless operation and optimization of our Supply & Service Resource Management (SSRM) data driven insights, solutions, and processes. In this role, you will be responsible for applying your expertise in data analytics, data engineering, machine learning, and modeling to strengthen SSRM data solutions and processes. Your work will directly contribute to improving patient care, operational efficiency, and decision-making within our healthcare organization. Other responsibilities include:
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.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: ****************************************************
Skills and Requirements
-Experience with Lawson S3 or equivalent procurement system experience.
-Proficient in Python and SQL programming languages.
-Knowledge of the supply chain and healthcare operations.
-Experience with software engineering best practices, such as version control (Git), testing and continuous integrations, to analytics code.
-Proficiency in data manipulation and analysis using tools like Pandas and NumPy.
-Ability to extract, combine, and organize large data sets and knowledge of databases.
-Understanding of machine learning algorithms, model development, and evaluation.
-Proficiency in data visualization tools like Tableau, Google Looker, or similar software.
-Excellent communication and teamwork skills, with the ability to convey complex technical information to non-technical stakeholders. -5+ years of relevant experience or a Bachelor's Degree in Data Science, Computer Science, Statistics, or a related field.
-Master's Degree
-Experience with healthcare data, including electronic health records (EHR), supply chain data, and clinical data.
-Must be ok working 8:30am - 3:30pm MT.
Data Scientist
Data science internship job in Mesa, AZ
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.
Auto-ApplyJunior Data Scientist
Data science internship job in Scottsdale, AZ
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
Auto-ApplyData Scientist
Data science internship job in Phoenix, AZ
Matrix has been named a Zweig Group 2025 Best Firm to Work For!
Matrix Design Group, Inc is actively hiring for an in-office Data Scientist position in our San Antonio, Denver, Colorado Springs or Phoenix offices. As an employee-owned company we are committed to fostering, cultivating, and preserving a culture of diversity, respect, and excellence.
We have a friendly, collegial, collaborative atmosphere and offer a full range of benefits including medical, dental, vision, disability, and life insurance; holiday, vacation, and sick leave; training and education; 401(k) and an Employee Stock Ownership Plan (ESOP). We strive to employ highly motivated people capable of creatively applied problem-solving skills who desire to advance personally and professionally.
Salary Range: $90,000.00 to $110,000.00 Annually. Salary will be dependent upon experience.
Location: San Antonio, Denver, Colorado Springs or Phoenix. (Must be willing to work a hybrid schedule)
SUMMARY:
Matrix seeks a driven individual to provide Data Science and Business Intelligence support to the firm as part of our Advanced Solutions Division. Support to Advanced Solutions is often related directly or indirectly to the Department of Defense and will include data collection and analysis, leveraging various programming languages to meet client needs, researching and writing unique reports. It may also include data management, exposure to cloud platforms, the use of APIs, and other tasks as assigned.
ESSENTIAL FUNCTIONS:
Support continuous process improvement and business process reengineering projects through focused application of sound data science, data analysis, and mathematical principles, to include process mapping, data collection, analysis, & visualization
Support project execution to include the development of technical documents and presentations and contributing to other project deliverables
Support project execution with statistical and other technical skills, to include but not limited to: statistical analysis, simulation, modeling, machine learning, artificial intelligence, or other methods to analyze information and develop practical solutions to business problems; digital dashboard construction, linear regression, parameter estimates, connection of data silos, and process automation
Support proposal development by providing technical content and coordinating with others to incorporate the input and feedback of both clients and team members
Meet with clients and their representatives as an individual or part of a team to present results, explain complex technical and/or statistical concepts, resolve issues, answer questions, and maintain positive, constructive relations
Research areas or issues as assigned and write formal and informal reports of varying lengths focused on summarizing information or persuading readers to support objectives
COMPETENCIES
Proficiency and demonstrated ability to work independently in statistical analysis, simulation, modeling, machine learning, artificial intelligence, or other methods to analyze information and develop practical solutions to business problems
Proficiency in programming tools and languages, to include SQL, Python, R, and APIs
Proficiency in data visualization tools (e.g., Power BI, Tableau, R Shiny, and others)
Well-versed in use of the Microsoft Office suite of products, to include Power Platform and SharePoint
Familiarity with the Department of Defense (DoD) and the Department of the Air Force (DAF)
Ability to harness the above in the scraping of PDFs or web for relevant information
Strategic thinker with exceptional communication skills (written and oral) and presentation skills, including the ability to synthesize and distill complex topics into concise reports/presentations
Possess the ability to explain complex technical information in a manner comprehensible to non-technical audiences
Ability and willingness to travel to project sites and other facility offices
EDUCATION AND EXPERIENCE:
Graduate degree in data science, statistics, operations research, engineering, or related field of study
4 or more years of relevant experience in data science, data management, and/or data analysis, to include internship(s)
Valid driver's license, in conjunction with successfully passing the Company's MVR screening
Other Duties:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Physical Demands:
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is occasionally required to stand; walk and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 10 pounds.
The noise level in the work environment is usually moderate.
Matrix Design Group, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, gender, color, religion, sex, national origin, or protected veteran status, and will not be discriminated against based on disability.
Any applicant with a qualifying physical or mental disability who believes they require reasonable accommodation for any part of the application process should contact us at ************ for assistance.
How to Apply:
Please apply online at ****************************************
Auto-ApplyData Center Quality Inspector-Intern
Data science internship job in Phoenix, AZ
As a Data Center Quality Inspector I, you provide superb quality control services for our clients. The work includes performing essential inspections of electrical equipment and systems, such as switchgear and substations. Detailed knowledge of mechanical and instrumentation is critical to conduct inspections and interpret electrical drawings and specifications. Attentively, you ensure the equipment and technicians around you comply with company and site safety requirements. You prepare detailed daily reports about your findings, including time tracking and special inspection reports. Diligently, you approve and submit important documents such as Lockout/Tagout (LOTO) requests, team reports, and time tracking reports. You take pride in assuring that our clients receive safely installed and functional equipment every time.
If you are an analytical and detail-oriented individual who communicates effectively and prioritizes safety, this could be the position for you! Travel may be required.
Responsibilities
Ability to read and interpret electrical drawings and specifications. Prepare written documentation such as daily narratives (work reports), special inspection reports, and daily time tracking.
Perform inspections of switchgear, standby generators, protective relays, and other electrical distribution components.
Submit LOTO requests, review and approve team reports, and time tracking.
Ensure compliance with all company and site safety requirements.
Benefits
Competitive pay, depending on experience.
Medical, dental, vision, 401(k) with company match, among other benefits.
Holidays and paid vacation time.
Extensive learning and development opportunities.
Requirements
Requirements
High school diploma or equivalent. Higher education degree preferred.
Minimum of two years of experience inspecting, testing, commissioning, or operating electrical distribution systems. Commercial or naval nuclear experience is strongly desired.
OSHA 10-hour Construction Safety training.
Commitment to excellence and high standards.
Summer 2026 - Data, AI, & Analytics Intern
Data science internship job in Phoenix, AZ
The Shamrock Students Professional Internship Program is an 11-week program focused on hands-on training in a variety of opportunities throughout the Shamrock Foods Company enterprise. As a Shamrock Student, you will be a part of a cohort of interns focused on real projects that impact the business. In addition to the work, you will do to support your department, you'll get to know your fellow interns through a variety of collaborative projects and events.
Essential Duties:
* Provide support for the data and analytics team in an accurate and timely manner
* Build and transform datasets to support data modeling and analysis needs.
* Assist in developing and evaluating machine learning models and experiments.
* Support data pipeline creation, including data ingestion, validation, and structuring.
* Other duties as assigned
Qualifications:
* 1+ year(s) educational experience and currently pursuing a degree from an accredited college or university with a focus on Data and Analytics, Business Analytics, Statistics, Computer Science, or related studies
* Maintains a minimum GPA of 3.0
* Must live in or near Phoenix, AZ
* Strong written and oral communication skills
* Strong sense of urgency and accountability
* Demonstrates expertise in Microsoft Office suite (Excel, Outlook, Word)
* Ability to learn and act in a fast-paced environment
* Effective task management
* High level of motivation and adaptability
* Great attitude and desire to learn and grow
Corporate Summary:
At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922.
Our Mission:
At Shamrock Foods Company, we live by our founding family's motto to 'treat associates like family and customers like friends.'
Why intern for us?
Shamrock Foods Company is committed to a program that goes beyond your typical internship experience, giving interns the opportunity to start their career path. We offer great training and growth for college students to help interns apply their education towards solving business problems and working on hands-on projects in a workplace environment. Our interns are more than a temporary associate; they become part of our family.
Equal Opportunity Employer
At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.