Data Science Internship Jobs in Phoenix, AZ

Job Title: Data Scientist/Data engineer Duration: 12 Months Contract (Possibility of Extension) Pay: $48-50/hr on W2 without any benefits *Looking for Local US Citizen Only* *No C2C* Job Description: The Launch Vehicles Continuous Improvement team is seeking a software engineer who will make significant and ongoing contributions to the maturation of our data-driven processes. You will collect, process and present information, including actionable insights, from multiple disparate data sets. The ideal candidate possesses both the analytical aptitude and problem-solving skillset necessary for extracting value from a collection of novel data sets. In addition to being a highly proficient data analyst, this candidate is expected to foster a data pipeline by engineering analytics that lend themselves to automation and scale. As a function of engaging with stakeholders and taking ownership of outcomes, the candidate can comprehend the general problem space and is confident in socializing, demonstrating, and presenting insights generated from the data. Your responsibilities: • Analyze multiple data sources in detail to identify trends and patterns using engineering fundamentals. • Interpret data, analyze results using statistical techniques and provide ongoing reports. • Summarize and socialize data, make conclusions and provide direction on problems identified. • Effectively generate ideas and support building tools to automate analysis processes. • Strong communication & visualization of the data to articulate the findings. - Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. • Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics. What you need to be successful in the role: • Comfort with requirements-analysis and stake-holder engagement. • Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable. • Solid communication skills (written, verbal, and visual) • Ability to communicate data and engineering analysis regarding conclusions that were reached. • Ability to create and present data reports to support investigations. • Excellent attention to detail. • Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques. • Prioritization skills to manage workload and make sound decisions for assigned team's data analysis activities. Basic Qualifications: • Bachelor's degree in a technical area with 8 years of relevant experience (6 years with technical MS; 3 years with a PhD in related field) • OR Bachelor's degree in a technical area with 2 years of relevant experience (0 years with technical MS) • Knowledge of data gathering, cleansing and transformation techniques • Experience with common data science toolkits such as Python and Tableau • Experience using Python packages: pandas, numpy, matplotlib • Experience developing and presenting data visualizations for scientific analysis • Able to obtain and maintain a Secret clearance. US Citizen is a requirement. Preferred Qualifications: • Product Lifecycle experience • Proficient using query languages such as SQL • Experience mentoring and leading peers in data science projects • Strong applied statistics skills, such as distributions, statistical testing, regression, etc. • JMP proficiency (SAS statistical tool) and experience scripting in JSL • Gitlab CM and CI/CD experience • MATLAB experience • Linux experience

Are you a People Data Scientist and a Data Nerd? Do you bring a background in organizational behavior, people, OD and HR with proven success translating that work into data? If you are willing to commit to a 12-month contract, this may be a position you should consider! Why this Company? Non-Profit entity Dedicated to Saving Lives Work for a Stable Company in business over 70 years Targeted Scaled Growth Plan Human and Organizational Development function is growing Why this Position? Great culture - be part of a tight-knit, friendly team Serve as a People Data Science Subject Matter Expert Competitive Hourly Pay Rate Range: $43-52 per hour (Depending on experience) Contract length: 12 months or longer Location: Hybrid with 3 days onsite in Scottsdale, AZ Hours: 8:00 - 5:00pm AZ time | Ability to work flexible hours based on business needs This Hybrid Contract People Data Scientist is responsible for bringing innovative solutions and a background in organizational behavior, people, OD and HR with proven success translating that work into data. You will serve as a subject matter expert, advisor, coach and mentor to HR colleagues to leapfrog the OD and HR team in this space and upskill the HR team in this work and methodology before the contract ends. You are a seasoned data nerd who can turn information into forecasting and influencing next steps, including making recommendations, creating a roadmap and teaching the tools. Background Profile: Bachelor's degree in Human Factors, Organizational Psychology or similar field is Preferred 4+ years of People Data Scientist experience AND a Bachelor's degree OR 8+ years of People Data Scientist experience in lieu of a degree A certification in Human Performance Improvement (HPI) and/or Human Factors and Organizational Behavior or Organizational Design is Preferred LEAN/Six Sigma/Continuous Improvement Certification is a Strong Plus Strong Analytical Mindset with proficiency in Data Analysis & Reporting Tools & a Demonstrated ability to solve problems on a broad scale Exceptional Communicator, Influencer & Collaborator with the ability to work within a fast-paced team of experts, influence at all levels through clear, informed and logical business justification and discussion while managing multiple projects at one time Must be a Permanent US Resident | US Citizen or Green Card Holder to be considered

Are you detail-oriented and solution-driven? Do you enjoy thinking outside the box, learning new skills, and tackling complex problems? If so, we invite you to consider joining the team of one of our Fortune 500 and rapidly growing clients, serving as as an Data Reconciliation Analyst! This role is perfect for someone who thrives in a fast-paced, collaborative environment and is passionate about delivering high-quality results. Position Overview The Data Reconciliation Analyst supports the Performance and Data Reconciliation (PDR) department by addressing accounting and data challenges. In this role, you'll work closely with Analysts and Senior Analysts to ensure smooth data flow, maintain procedures, and improve processes while contributing to critical reconciliations and quality controls. Key Responsibilities Take ownership of reconciliation breaks and resolve them within established Service Level Agreement (SLA) timelines. Execute month-end transactional and performance quality controls efficiently. Manage data flow and quality to ensure accurate processing into downstream systems. Identify, troubleshoot, and resolve accounting and data-related issues. Analyze abnormalities affecting fee billing calculations with an understanding of monthly rates of return. Collaborate with team members on process improvements and maintain updated departmental procedures. Assist in root cause analysis and provide solutions to recurring issues. Organize workflows and monitor progress toward team and individual goals. Validate performance returns using time- and money-weighted performance calculations. Qualifications Bachelor's degree (Finance or related preferred) 1-2 years of relevant industry experience Proficiency in Microsoft Suite with advanced Excel skills (lookups, pivot tables, formulas, etc.) Basic knowledge of SQL Experience with database management Financial Expertise: Strong understanding of complex financial vehicles and multi-sleeve reconciliation Strong organizational and time-management skills with the ability to work independently Pay $26 /hr Location: HYBRID Tempe, AZ Schedule: Monday - Friday 40 hours /week Optional Overtime offered ------------ TalentBridge -- Connecting People with Their Purpose As one of the nation's leading professional recruiting companies, TalentBridge successfully places thousands of candidates in their dream jobs every year. At TalentBridge, we're passionate about connecting people with their purpose, and we go above and beyond to be the trusted partner to the people we serve. We value relationships over transactions - relationships grounded in open communication and honesty. We're built on collaboration and teamwork - both with internal team members and with each and every candidate we represent. And that goes beyond a vested interest in your professional success, to rooting for your personal success. We're not just another staffing company churning and burning our way through candidates. Our seasoned recruiting professionals love what they do - the Charlotte Observer named us a Top Workplace two years running - and they're great at it! We know success begins with personal connections, so we work hard every day to get to know the person behind the resume so we can help our candidates find the best job, not just a job. That's a fantastic reason to get out of bed every morning, and we're excited to share it with an expanding team. Will you join us? Proven Process We follow a disciplined, proven process to help ensure success in matching high-quality candidates with high-performance companies. It starts with an in-depth understanding of your skills and experience. It continues with a deep dive into your passions which, in turn, help us to find your purpose. It's a process that goes well beyond your resume - one that values relationships over transactions in order to optimize success in your job search.

As a Lead AI/Data Scientist here at Honeywell Aerospace Technologies, you will be responsible for providing project guidance on data analysis, machine learning, and statistical modeling. You will oversee and prioritize data science projects, ensuring alignment with business goals and objectives. You will report directly to our Director of AI and you'll work out of our Phoenix, AZ, Minneapolis, MN, San Jose, CA, or Clearwater, FL location on a hybrid work schedule. In this role, you will impact the aerospace industry by providing transformative insights and innovation. The actionable insights derived from your work will optimize processes, reduce costs, and identify growth opportunities, positioning Honeywell Aerospace Technologies at the forefront of data-driven innovation. Leveraging cutting-edge technologies and advanced analytics, we specialize in turning data into actionable intelligence that propels the aerospace industry forward. Let's shape the future of how we use data together. KEY RESPONSIBILITIES + Lead highly complex data science and advanced analytics projects in support of supply chain, finance, customer experience, engineering, and defense & space domains within aerospace manufacturing. + Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows. + Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution. + Independently develop data science models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control and maintaining documentation of created applications. + Effectively work with enterprise partners to transfer promising proof-of-concept data science models and data pipelines into production and support CI/CD and MLOPs activities. + Work directly with customers and business partners to develop requirements and provide technical solutions through an analysis of manufacturing/business needs and pain points. + Proactively assess current capabilities to identify areas for improvement by proposing solutions that align with core strategy and operation. + Guide and produce information products, supporting visualization and data accessibility in a customer centric manner. + Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes. + Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members. COMPENSATION AND BENEFITS The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Connecticut, and Hawaii is $175K - $219K. For Washington and most major metropolitan areas in New York & California, the annual base salary range is $152K - $190K. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations. This position is incentive plan eligible. In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell (******************************** The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. U.S. CITIZENSHIP REQUIREMENTS Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. citizen, U.S. permanent resident, or have asylum or refugee status in the U.S. #LI-Hybrid #LI-AL3 YOU MUST HAVE + 5-10 years of experience applying data science and advanced analytic methods in aerospace or related industries. + Proven track record of successfully leading data science projects to production. + Strong programming skills in Python and SQL. + Experience with data wrangling, feature engineering, and model development. + Experience with MLOPS practices and deployment pipelines. WE VALUE + Experience with DataBricks, Snowflake, Azure, and AWS + Experience working with SAP data + Ability to understand a broad array of technical and business issues, prioritize work, and analyze issues to develop innovative and effective solutions. + Broad experience and working knowledge of advanced analytic methods and applications in data science (classic and GenAI), optimization, and statistics. + Effectively lead team interaction, including meetings and collaboration, to resolve issues. + Experience with Scaled Agile Framework and managing project work in Jira. + Ability to develop and communicate technical vision for projects and initiatives that can be understood by customers and management. + Proven mentoring ability to drive results and technical growth in peers. + Effective communication skills (verbal, written, and presentation) for interacting with customers and peers. ABOUT HONEYWELL Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here THE BUSINESS UNIT Honeywell Aerospace Technologies (AT) products and services are found on virtually every commercial, defense, and space aircraft in the world. We build aircraft engines, cockpit and cabin electronics, wireless connectivity systems, mechanical components and more, and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel, more fuel-efficient and better-maintained aircraft, more direct and on-time flight arrivals, safer skies and airports, and more comfortable flights, along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21,000 employees globally. To learn more, please visit click here. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

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 ************

GovCIO is currently hiring for ETL Engineer (or Data Scientist) to join our ETL Team focused on ingesting and visualizing data from all over the cloud and alerting on deviations of normalization. This position will be located in Hanover, MD and will be a fully remote position. **Responsibilities** Develops, inspects, mines, transforms, and analyzes data to create descriptive and predictive models that impact productivity, decision making, and provide strategic mission impact. Data Integration - Applies data wrangling tools including ETL, ELT, and programming languages to collect and blend data from operational and relevant external systems. Data Analysis -- Applies data mining, machine learning, and statistical analysis on data to create predictive and descriptive models. Applies and integrates these models to develop segmentation, clustering, forecasting, classification and other models. Data Visualization -- Applies Data discovery and data visualization tools to interpret and present the findings in a compelling and usable manner. Maintains and integrates analytical systems with operational systems, verifies the accuracy of the data and analytics. Interacts with both business and data SMEs. + Generates new business insights through data extraction, storage, transformation, analysis, and visualization of diverse data sets. + Collects and transforms structured, unstructured, relational, and NoSQL data using ETL and ELT tools as well as develops custom code using programming languages. Understands and uses distributed (e.g. MapReduce) methods that scale to multi-Terabyte sized data collections. + Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib). + Interprets and evaluates accuracy of results through iterative, agile methods. + Applies data discovery and data visualization tools (e.g. Tableau, Trifacta) to develop compelling, actionable, useful data stories. + Works closely with data SMEs, business, and management to prioritize business and information needs. **Qualifications** HS Diploma with 9+ years' experience/professional Clearance: Secret Will accept a SECRET clearance but must be able to obtain a Top-Secret clearance. Required Skills and Experience + Must have or obtain IAT level II/III certification (i.e., CompTIA Security+(CE)) + Demonstrated experience or certifications in Linux and/or AWS GovCloud technologies Preferred Skills and Experience + Strong interpersonal skills to collaborate with customers and internal cross-functional teams + Experience with virtual and/or cloud-based servers and applications (AWS GovCloud Specific) + Excellent technical documentation and reporting skills + Effective written and oral communication skills + Experience working in an Agile environment + Certification(s) in relevant technologies + Active Top Secret clearance \#NSS \#AR **Company Overview** GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? **We are an Equal Opportunity Employer.** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay Range The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an "at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. **Posted Salary Range** USD $155,000.00 - USD $172,000.00 /Yr. Submit a referral to this job (****************************************************************************************************************************************** **Location** _US-Remote_ **ID** _2024-5297_ **Category** _IT Infrastructure & Network Engineering & Operations_ **Position Type** _Full-Time_

Company Statement: Marketech International Corp. USA provides an extensive service network. The business scope covers CMP, photomask, wafer and mask inspection, consumable spare parts, SOI wafer, LCD process and inspection equipment and materials; outsourcing service in tool manufacturing; clean room and MEP turnkey projects, DI water, gas and chemical supply systems, waste water treatment systems, facility monitoring and control system, etc. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Job overview: Data analyst and Document controller is an energetic professional who doesn't mind wearing multiple hats. Analyst punch issue and fill out all the test result and document controller to experience in handling a wide range of document duties and come out data to support-related tasks and able to work independently. Well organized, flexible, and enjoys the data and document control challenges of supporting engineers with daily inspection report. Responsibilities: Assist engineer to generate daily report and document control. Data collection and analyst Handling a wide range of document and data control duties. Come out weekly report, daily data tacking and record.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

At Verint, we believe customer engagement is the core of every global brand. Our mission is to help organizations elevate Customer Experience (CX) and increase workforce productivity by delivering CX Automation. We hire innovators with the passion, creativity, and drive to answer constantly shifting market challenges and deliver impactful results for our customers. Our commitment to attracting and retaining a talented, diverse, and engaged team creates a collaborative environment that openly celebrates all cultures and affords personal and professional growth opportunities. Learn more at ************** . **Overview of Job Function:** The position is primarily focused on various tasks related to data ingestion, processing, normalization, and cataloging in a cloud environment. The intern will be assisting the Da Vinci AI team with several projects regarding data analysis, annotation, and automating data pipelines. The intern will implement and evaluate data annotation and augmentation pipelines using tools from cloud providers for the purposes of machine learning and evaluation of Large Language Models. This intern will also compare methods to generate and evaluate synthetic datasets for various use cases. **Principal Duties and Essential Responsibilities:** + Practice analyzing big data + Use available libraries for implementation of algorithms + Evaluate and refine algorithms using relevant data + Perform exploratory and targeted data analysis using descriptive statistics and other methods + Communicate the business value of technical solutions + Perform ad-hoc analysis and assist in developing reproducible analytical approaches to meet business requirements + Experiment with and evaluate the output of Large Language Models for various tasks + Utilization of the following technologies: Python, Jupyter, Spark, and AWS Sagemaker + Data Engineering / Data Ops tasks: + Cataloging research datasets from various groups - identifying use cases, tagging meta-data, etc. + Perform data normalization + Writing ETL scripts to convert to standardized form + Perform data exploration on various datasets + Build data pipelines and transform data sets to support the application of a variety of machine learning techniques + Participate in data storage architecture design discussions **Minimum Requirements:** + Pursuing BS in Mathematics, Computer Science, Information Management or Statistics + Knowledge of machine learning algorithms + Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy + Adept at documenting experiments, report writing and presenting findings + Knowledge of cloud-based data processing platforms such as AWS SageMaker, Google Vertex AI, Microsoft Azure ML, etc. + Knowledge of SQL, statistics, and experience using statistical packages for analyzing datasets (Excel, Statsmodels, R etc.) + Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit and drug screening, where applicable and in accordance with federal and local regulations. \#LI-BM1 MIN: $25/HR MAX: $30/HR

At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. **Job description** Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. **Key duties and responsibilities** In this role as a Data Scientist, you will: + Collaborate with product partners and other scientists to identity new opportunities to apply AI / ML to our content and products + Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams + Contributes towards the common data science platform + Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments **Key requirements** + 3+ years of experience developing AI / ML applications and data driven solutions + Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience + Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques + Deep understanding of CS fundamentals, computational complexity and algorithm design + Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes + Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries + Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems + Experience mentoring junior team members + Excellent problem solving and communication skills + Nice to have + M.S. in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences. + Knowledge of the healthcare domain and experience with applying AI to healthcare data + Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake + Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs **Our Guiding Principles at Norstella** 01: Bold, Passionate, Mission-First We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. 02: Integrity, Truth, Reality We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. 03: Kindness, Empathy, Grace We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. 04: Resilience, Mettle, Perseverance We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. 05: Humility, Gratitude, Learning We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Education benefits Paid parental leave Paid time off **_*Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.*_** The expected base salary for this position ranges from $100,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law. All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected] . Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

Why USAA? Let's do something that really matters. At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all our employees served in our nation's military, but we all share in the mission to give back to those who did. We're working as one to build a great experience and make a real impact for our members. We believe in our core values of honesty, integrity, loyalty, and service. They're what guides everything we do - from how we treat our members to how we treat each other. Come be a part of what makes us so special! As a dedicated Lead Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, expanding the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is not available for this position. This position can work remotely in the continental U.S. with occasional business travel. The Opportunity The Lead Data Scientist - Fraud Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: * Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts * Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities * Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes * Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits * Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience * Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance * Exports insights to decision systems to enable better fraud targeting and model development efforts * Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks * Develops and mentors junior staff, establishing a culture of R&D to augment the day-to-day aspects of the job What you'll do: * Gathers, interprets, and manipulates sophisticated structured and unstructured data to enable sophisticated analytical solutions for the business. * Leads and conducts sophisticated analytics demonstrating machine learning, simulation, and optimization to deliver business insights and achieve business objectives. * Guides team on selecting the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. * Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. * Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. * Partners with business leaders from across the organization to proactively identify business needs and proposes/recommends analytical and modeling projects to generate business value. * Works with business and analytics leaders to prioritize analytics and highly sophisticated modeling. problems/research efforts. * Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. * Assists team with translating business request(s) into specific analytical questions, implementing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations. * Manages project portfolio breakthroughs, risks, and impediments. Anticipates potential issues that could limit project success or implementation and intensifies as needed. * Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. * Interacts with internal and external peers and management to maintain expertise and awareness of pioneering techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. * Serves as a mentor to data scientists in modeling, analytics, computer science, eye for business, and other interpersonal skills. * Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. * Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: * Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. * 8 years of experience in a predictive analytics or data analysis * 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. * 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. * Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). * Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. * Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. * Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. * Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. * Project management experience that demonstrates the ability to anticipate and appropriately manage project landmarks, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. * Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc. * Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. * Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. * Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. * A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). * Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization. What sets you apart: * US military experience through military service or a military spouse/domestic partner * Graduate degree in a quantitative subject area * Over 5 years of experience with model development or other advanced fraud detection algorithms * Over 4 years of experience with graph databases and graph solutions * Experience in fraud/financial crimes model development The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. What we offer: Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. The salary range for this position is: $158,960 - $286,130. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, please visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

You Lead the Way. We've Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers' digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. American Express offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex. Focus You are key member of the product team that will collaborate with business leaders and partners to support and help craft the Enterprise Data Insights, Visualize the Story of underlying Data leveraging the expertise on Portfolio Metrics, Agility Metrics, Productivity Metrics, , OKRs, Capacity & Demand metrics, drive the sequencing of Product Roadmap, prioritize the Engineering team's sprint backlog, participate actively in all phases of the iteration process, and cross-functional collaboration. * Mastery in reporting/analytical applications (Python, Power BI, Data Modelling, and strong Excel Skills) * With hands-on Python skills, understands and applies new Artificial Intelligence, Machine Learning, BI and Visualization trends, and market standard methodologies Organizational Context Reports to Portfolio/Product Director within Technology Portfolio Transformation Organization of Technology Business Enablement (TBE) Unit. Key Responsibilities * Works with customers, key partners, and colleagues to define / Visualize the Insights of underlying Data leveraging the expertise on Portfolio Metrics, Agility Metrics, Productivity Metrics, Objectives Key Results, Capacity & Demand metrics * Convert Data into Insights with demonstrated Data Analytical Skills and Data Modelling Skills * Manage the sequencing and prioritization of Insights product roadmap and seek alignment across dependent Teams * Drives Program Increment (PI) Objectives and Product releases via Prioritized Features and Enablers * Owns and Manages Platform Features Backlog and owns Feature and Capability Acceptance Criteria * Provides Program/Product Vision to the Agile Train and Prioritizes Program backlog (Features) * Focuses on Business Outcome over Outputs * Understands and applies new Artificial Intelligence, Machine Learning, BI and Visualization trends, and market standard methodologies * Communicates and build consensus across disciplines in crafting the product roadmap * Leads the work to define and articulate a long-term product strategy and roadmap with clearly defined business metrics and targets * Support development of appropriate tracking and reporting to track product performance post launch to evaluate future investment * Produce return on investment analyses and optimization recommendations * Identify risks, challenges, opportunities, and business integration needs * Enable cross-functional collaboration with relevant teams within the product scope * Translates product roadmap into well-defined product requirements/user stories and acceptance test criteria * Prioritizes and maintains the sprint backlog consistent with Outcomes and Product Roadmap and performs story elaboration with the implementation team * Partners the design and technology teams to develop, test and deliver the defined capabilities and rapidly iterate new solutions * Works closely with analytics and uses internal data tools to understand measure success and impact to critical metrics * Reviews and accepts completed user stories * Reviews/demonstrates sprint-related or general functionality with external partners and customers, including the Director of Product Management and other colleagues * Coordinates communications and facilitates resolution of risks, issues, and changes tied to the product backlog Scope of Impact/Influence * Responsible for small product in whole or a large-scale functionality * Main interface between the Business and Technology organizations for product development * Both product and technology focused and may be responsible for a Product in whole or large-scale functionality within a product * Responsible for driving product outcomes Education & Experience * 4+ years of experience in Product Management with proven track record in defining winning product constructs and delivering a product vision and strategy * Experience with rapid and iterative software development methodologies * Proven track record managing large, complex features or products with multiple partners * Bachelor's Degree in related field required; advanced degree preferred Knowledge/Skills * Mastery in reporting/analytical applications (Python, Power BI, AI/ML, Data Modelling and strong Excel Skills) * Knowledge of Agile Management, Portfolio Management, or Workforce Management domain data sets is preferred. Technology Core Competencies * Data Science and Analytics * Agile Practices * Industry and Company Knowledge * Technical Acumen * Technology Industry Trends Game Changers * Product-Mindset * Curiosity * Collaboration & Teamwork * Adaptability * Continuous Improvement Role Core Competencies Technical * Python, Power BI, Machine Learning, Artificial Intelligence - Emerging Technologies Functional * Business Analysis * User Experience Evaluation and Analysis Leadership * Analytical Thinking * Consultancy * Decision-Making * Influence and Negotiation Business * Business Case Development * Business Product Knowledge * Problem Solving Salary Range: $110,000.00 to $190,000.00 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 our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: * 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. 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/Employees - Click here to view the "Know Your Rights" poster and the Pay Transparency Policy Statement. If the links do not work, please copy and paste the following URLs in a new browser window: ****************************************** to access the three posters. Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

**Sponsorship:** GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. **Hybrid or Remote:** This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, or Milford], you are expected to report to that location three times a week, at minimum. **The Role** The Product Safety Data Analytics team is seeking a skilled Data Scientist with a wide range of AI/ML experience from NLP, to traditional models like XGBoost and SVM along with expertise in Azure, Databricks, and MLflow for LLM's. This Data Scientist role requires well-rounded programming capabilities and statistical techniques to solve complex problems. If you're passionate about driving innovation through AI/ML and enjoy working collaboratively within an analytics team, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment. As a Machine Learning Data Scientist, you will play a key role in providing technical expertise and guidance to ensure the successful development and delivery of Machine Learning and AI solutions. Your responsibilities will include working with your customers, Engineers, Data Analysts and Data Scientists to understand their needs and collaborating within your team to determine the best approach. Once the approach is identified, data selection including analyzing and preparing the data is key for training your machine learning model. Additional steps include working within our ML Ops framework to test and deploy your solution. **What You'll Do** + Train new machine learning models to solve complex business problems. + Enhance existing machine learning models to increase performance and adapt to our changing business landscape. + Prototype new AI solutions, including Generative AI, to solve business problems. + You provide guidance on describing enterprise or vehicle performance using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners. + You thrive in reciprocal environments with leaders and managers to resolve and address ad-hoc data and reporting needs. + Build statistical models that depict company-wide trends. + Perform testing and validation of data sets. + Challenge of determining the meaning of data and explaining how various teams and leaders can leverage it to improve and streamline their processes. + Keeping defined structures in documentation and data and have a large toolset in statistical methodologies to tackle business problems. **Additional Job Description** **Your Skills & Abilities** + Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field + 5+ years of experience in machine learning engineering, data science, or a related field + Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks + Familiarity with MLflow for model management and experimentation + Proficiency in Python for machine learning and data analysis + Knowledge of machine learning algorithms, NLP techniques, statistical modeling, and data structures + Experience with version control systems (e.g., Git) + Excellent communication and collaboration skills, with the ability to work effectively in a team environment + Strong problem-solving mindset and a proactive attitude towards learning and self-improvement **What Will Give You A Competitive Edge (Preferred qualifications)** + Experience with generative AI **This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.** **Compensation:** + The expected base compensation for this role is $85,100 - $143,300 USD Annually + Actual base compensation within the identified range will vary based on factors relevant to the position + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance **Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. **Explore our global location** **s** The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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. Program dates: May 19, 2025 to August 1, 2025 Essential Duties: * Provide support for the commercial account management team in an accurate and timely manner * Develop and maintain Power BI dashboards for account management team * Prepare, clean, and analyze data in large financial and operational datasets * Generate weekly KPI reporting in Power BI/Excel to help drive account strategy * Troubleshoot customer issues/requests and effectively formulate communication strategy and solutions * Create effective presentations for team leadership that encapsulate current operation conditions and relevant KPIs that define the business * 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 Business Analytics, Data Analytics, Statistics, Supply Chain Management, Finance, Operation Management, or related studies * Maintains a minimum GPA of 3.0 * Must live in or near Phoenix, Arizona * 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.

Job Title: Data Scientist Engineer Relevant Experience(in yrs): 6-10 yrs Technical/Functional Skills: Data Science Roles & Responsibilities: * 6+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 6+ years of experience with statistical and general-purpose programming languages and toolkits for data analysis such as Python or R * Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * Experience using statistical and AI/ML techniques to derive insights from large datasets * Knowledge of data governance principles, data warehousing solutions and the ability to work with both structured and unstructured data * Experience with Sequence Models is must * Should be designer, architect and model recommendation person for ML components and collaborate with us on overall end to workflow that encompasses the ML. Base salary range: $90000 to $105000 per year

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **Why Join Cardinal Health's AI CoE?** + Make a Real Difference: Contribute to cutting-edge solutions that improve patient care, enhance healthcare operations, and drive positive change in the industry. + Work with a Passionate Team: Join a team of highly skilled data scientists who are committed to pushing the boundaries of AI in healthcare. + Grow and Develop: Access opportunities for professional growth, mentorship, and development within a dynamic and innovative environment **Responsibilities:** + Lead the Development of Innovative AI solutions: You will be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry. This will involve leveraging your expertise in areas such as: + Machine Learning (ML): Developing advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Generative AI: Exploring and leveraging the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + RAG Technologies: Building robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: You will work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. You will be a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and Mentor a Team of Data Scientists and ML Engineer: You will provide technical guidance, mentorship, and support to a team of skilled geographically distributed data scientists, fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: You will foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **Qualifications:** + 4-8 years of experience, preferred + Bachelor's degree in computer science or related field, or equivalent work experience, preferred + Proven AI/ML Expertise: Minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions. + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases. + Healthcare Data Acumen: Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Cloud Computing Expertise: Experience working with cloud platforms like Google Cloud Platform (GCP), Azure, or AWS for data processing, model training, evaluation, monitoring, deployment and support. + Leadership and Communication: Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences. + Strong Technical Skills: Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools. + CI/CD Automation: Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments. + REST API Development: Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems. + Software Engineering Best Practices: Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations. + Data Engineering: Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling. + Agile Methodologies: Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices. + DevSecOps: Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/04/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

**Thanks for visiting our Career Page. Please review our open positions and apply to the positions that match your qualifications.** **Data Analyst Internship - Data Science & Gen-AI Team** Scottsdale, AZ Internship Student (College) Data Analyst Internship -Data Science & Gen-AI Team At Peerlogic, we're pioneering the integration of artificial intelligence to revolutionize communication within the healthcare community. Guided by our core values of Curiosity, Accountability, Grit, and Enthusiasm (CAGE), we strive for excellence in innovating AI-driven solutions that improve, streamline, and transform professional interactions in medical settings. We're on the hunt for a Data Analysis II Intern to join our Data Science and Gen-AI team, a role critical to our mission of shaping the future of healthcare communication. Location: Scottsdale, Arizona Duration: 6 months, with potential for extension or transition to a full-time position Role Overview: As a Data Analysis Intern, you will dive deep into the intricacies of AI and data science, contributing directly to projects at the cutting edge of technology and healthcare. Reporting to Dr. Amir Yazdavar, PhD, Principal Data Scientist, your work will support the development of AI solutions that embody our CAGE values, pushing the boundaries of what's possible in healthcare communication. Key Responsibilities: * Conduct advanced data analysis, utilizing statistical software and machine learning algorithms to extract insights from complex healthcare datasets. * Collaborate with our AI development team to refine and enhance AI models, ensuring they meet the high standards required for healthcare applications. * Engage in the entire lifecycle of AI solution development, from initial data collection and analysis to implementation and feedback collection. * Develop and present clear, actionable insights to team members and stakeholders, aiding in decision-making and strategy development. * Contribute to the creation of a robust knowledge base by documenting findings, methodologies, and best practices. Qualifications: * Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or related field, with a strong academic record. * Demonstrated experience with data analysis and statistical tools (e.g., Python, R), and a keen interest in AI and machine learning. * A proactive learner with a knack for problem-solving and a passion for healthcare innovation. * Exceptional communication skills, with the ability to convey complex ideas effectively to a diverse audience. * Alignment with Peerlogic's core values of Curiosity, Accountability, Grit, and Enthusiasm, and a strong desire to make a positive impact in healthcare. What You'll Gain: * A competitive stipend and flexible scheduling to accommodate your educational commitments. * Hands-on experience in a fast-paced startup environment, working on groundbreaking projects at the intersection of AI and healthcare. * Direct mentorship from Dr. Amir Yazdavar and the opportunity to learn from a team of experienced professionals. * Access to a network of industry professionals and potential for future employment opportunities within Peerlogic. Interested candidates should apply with a resume, cover letter detailing their interest and fit for the role, and any relevant project samples or portfolios. Peerlogic is an equal-opportunity employer dedicated to building a diverse and inclusive team. We encourage applications from all qualified individuals who share our vision for improving healthcare communication. ** Apply for this position** Required*** Apply with Indeed Apply with

Phoenix, AZ Job Id SUMME008949 Category Internships JOB DESCRIPTION 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. Program dates: May 19, 2025 to August 1, 2025 **Essential Duties:** * Provide support for the commercial account management team in an accurate and timely manner * Develop and maintain Power BI dashboards for account management team * Prepare, clean, and analyze data in large financial and operational datasets * Generate weekly KPI reporting in Power BI/Excel to help drive account strategy * Troubleshoot customer issues/requests and effectively formulate communication strategy and solutions * Create effective presentations for team leadership that encapsulate current operation conditions and relevant KPIs that define the business * 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 Business Analytics, Data Analytics, Statistics, Supply Chain Management, Finance, Operation Management, or related studies * Maintains a minimum GPA of 3.0 * Must live in or near Phoenix, Arizona * 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.' 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. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) Location Phoenix, AZ, USA Category Internships Posted Date 12/11/2024 Location Phoenix, AZ, USA Category Internships Posted Date 12/11/2024 Location Eastvale, CA, USA Category Internships Posted Date 12/12/2024 Location Phoenix, AZ, USA Category Internships Posted Date 12/12/2024 Location Phoenix, AZ, USA Category Internships Posted Date 12/16/2024 Location Phoenix, AZ, USA Category Internships Posted Date 12/11/2024 Location Phoenix, AZ, USA Category Internships Posted Date 12/12/2024 Location Eastvale, CA, USA Category Internships Posted Date 12/12/2024 Location Phoenix, AZ, USA Category Internships Posted Date 12/17/2024

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************