machine learning intern

PayPal

<div>
 
 The Company
 
 
 PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
 
 
 We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
 
 
 We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
 
 
 Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
 
 
 
 Job Summary:
 
 
 
 This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
 
 
 
 Job Description:
 
 
 
 
 Essential Responsibilities:
 
 
 
 <ul>
 <li>
 Assist in the development and optimization of machine learning models.
 </li>
 <li>
 Preprocess and analyze datasets to ensure data quality.
 </li>
 <li>
 Collaborate with senior engineers and data scientists on model deployment.
 </li>
 <li>
 Conduct experiments and run machine learning tests.
 </li>
 <li>
 Stay updated with the latest advancements in machine learning.
 
 
 </li>
 </ul>
 
 Minimum Qualifications:
 
 
 
 <ul>
 <li>
 1+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.
 </li>
 <li>
 Familiarity with ML frameworks like TensorFlow or scikit-learn.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 
 
 </li>
 </ul>
 
 Additional Responsibilities &amp; Preferred Qualifications:
 
 
 
 
 Role And Responsibilities
 
 
 <ul>
 <li>
 Support the lead of the team in performing oversight of high-impact statistical model and AI applications in a variety of business function areas, including but not limited to fraud detection, credit underwriting, marketing analytics etc.
 </li>
 <li>
 Conduct quantitative and qualitative model validation according to Model Risk Management Policy to identify and understand model risk issues
 </li>
 <li>
 Collaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvements
 </li>
 <li>
 Perform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal&rsquo;s AI applications are compliant with ever evolving regulatory expectation such as Responsible AI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 This position requires the ability and curiosity to learn various advanced modeling methods/AI techniques, covering a broader business function. This role also requires candidate to have the capability in building effective relationship with various stakeholders including business owners, model owners, model developers and control officers. The candidate must possess excellent communication, writing and presentation skills.
 
 
 <ul>
 <li>
 An advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering essential
 </li>
 <li>
 Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs)
 </li>
 <li>
 Possessing advanced coding skills in dealing with big data (e.g., Scikit-learn in Python, Tensorflow, Hadoop, Spark , SQL, etc.)
 </li>
 <li>
 Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either in academic or financial industry
 </li>
 <li>
 Ability to work effectively both independently and in a team environment
 </li>
 <li>
 Ability to communicate effectively and establish constructive relationship with stakeholders
 
 
 </li>
 </ul>
 
 Subsidiary:
 
 
 
 PayPal
 
 
 
 Travel Percent:
 
 
 
 0
 
 
 The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
 
 
 
 Primary Location : Pay Range:
 
 
 
 Chicago, Illinois : ($117,500.00 - $174,350.00 Annually)
 
 
 
 Additional Location(s) : Pay Range:
 
 
 
 Austin, Texas : ($117,500.00 - $174,350.00 Annually)
 
 
 Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
 
 
 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
 
 
 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
 
 
 
 Our Benefits:
 
 
 
 At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing&mdash;physical, emotional, and financial&mdash;delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
 
 
 
 Who We Are:
 
 
 
 Click Here to learn more about our culture and community.
 
 
 
 Commitment to Diversity and Inclusion
 
 
 
 PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
 
 
 
 Belonging at PayPal:
 
 
 
 Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
 
 
 Any general requests for consideration of your skills, please Join our Talent Community.
 
 
 We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.
</div>

Machine Learning Engineer

Cognizant

The posted job opening may be for a Temporary Fixed Term period of time. If the selected applicant is hired as a Temporary Fixed Term employee/associate, their employment with Cognizant will typically be for a period of six to nine months. Any extensions to the temporary employee’s employment period will be solely at the discretion of Cognizant Technology Solutions. About the role
 As a Gen AI Architect , you will make an impact by designing and implementing end-to-end artificial intelligence and machine learning solutions that support safe, scalable, and compliant medical device products. You will be a valued member of the AI and data engineering team and work collaboratively with data scientists, engineers, and compliance stakeholders to deliver innovative solutions that meet regulatory and clinical standards. In this role, you will:
 Design end-to-end machine learning architectures using AWS AI/ML services and MLOps practices for scalable and secure medical device applications
 Develop reusable MLflow-based frameworks for experiment tracking, model versioning, and governance across projects
 Build automated ML pipelines using AWS CodePipeline and related services to enable CI/CD for machine learning models
 Collaborate with cross-functional teams to translate AI/ML concepts into production-ready solutions aligned with regulatory requirements
 Define standards for data ingestion, feature engineering, and model serving to meet performance, reliability, and compliance goals
 Optimize deployment of generative AI and traditional ML models on AWS, balancing cost, scalability, and compliance
 Implement monitoring strategies for model drift, data drift, and system performance using MLOps tools
 Document architectures, decisions, and operational processes to support audits and regulatory reviews
 Partner with compliance and quality teams to ensure traceability, validation, and risk management in medical device AI solutions
 Promote secure coding and data protection practices for sensitive healthcare data
 Review and enhance existing AI/ML solutions to improve scalability, reliability, and clinical safety
 Support modernization of legacy systems into AI-driven solutions for improved clinical outcomes
 Advise stakeholders on how AI and ML capabilities can enhance medical device offerings responsibly Work model
 We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a Cognizant office or client location in Chicago, IL. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
 The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered:
 9–12 years of experience in AI/ML engineering, solution architecture, or data science
 Strong hands-on experience with AWS machine learning services and cloud-native architecture design
 Proven expertise in MLOps practices, including MLflow, model lifecycle management, and governance
 Experience implementing CI/CD pipelines for ML using AWS CodePipeline or similar tools
 Deep understanding of machine learning concepts, including model development, evaluation, and feature engineering
 Hands-on experience with generative AI techniques and frameworks
 Experience working in regulated environments, preferably in medical devices or healthcare
 Strong understanding of data security, compliance, and privacy standards
 Ability to communicate effectively with both technical and non-technical stakeholders These will help you stand out:
 Experience delivering audit-ready, compliant AI/ML solutions in the medical device domain
 Familiarity with regulatory frameworks and validation processes for healthcare technologies
 Strong knowledge of responsible AI practices and risk mitigation strategies
 Experience designing highly scalable, secure cloud architectures for sensitive data
 Ability to bridge innovation with compliance in complex enterprise environments Salary and Other Compensation:
 Applications will be accepted until July 2, 2026 .
 The hourly salary for this position is between $88/hr - $100/hr depending on experience and other qualifications of the successful candidate.
 This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
 Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
 
Medical/Dental/Life Insurance
 
Long-term/Short-term Disability
 Employee Stock Purchase Plan
 Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Gen AI Architect

Huron Consulting Group

<div>Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We&rsquo;re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we&rsquo;re developing strategies and implementing solutions that enable the transformative change they need to own their future. 
 
As a member of the Huron corporate team, you&rsquo;ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron&rsquo;s collective strategies and enable real transformation to produce sustainable business results. 
 
Join our team and create your future.
This person is a shared engineer who builds and runs the platform every pod reuses: the pipelines, testing, deployment and monitoring, plus reusable building blocks so each new pod starts further ahead.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Build and run the pipelines. CI/CD with automated testing across the pods.</li><li>
Provision the environments. Set up and run the environments the pods build in.</li><li>
Deploy and monitor. The models and agents the pods put into production.</li><li>
Set the standards. Technical and security standards every pod builds to.</li><li>
Build reusable parts. So each new pod starts further ahead than the last.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Building internal developer platforms.</li><li>
AI testing and monitoring in production.</li><li>
Healthcare or higher education with data-security awareness (HIPAA, FERPA).</li><li>
AWS Machine Learning or DevOps, Azure AI-102, or Kubernetes (CKA).</li></ul><h1 class="jobSectionHeader">
General Required Skills</h1><ul><li>
5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading.</li><li>
Hands-on running AI systems in production.</li><li>
AWS and Azure, Docker, Kubernetes, infrastructure as code.</li><li>
Strong Python.</li><li>
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.</li></ul>
The estimated base salary for this job is $140,000 - $170,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron&rsquo;s annual incentive compensation program, which reflects Huron&rsquo;s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $161,000 - $218,750 USD. The job is also eligible to participate in Huron&rsquo;s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
#LI-REMOTE
#LI-CL1<h2 class="jobSectionHeader">
Position Level</h2>
Manager<h2 class="jobSectionHeader">
Country</h2>
United States of America</div>

Platform Engineer, AI Capability Center Hub

The University of Chicago

<div>Department
BSD CTD - Data Science 
About the Department
The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data science to impactful problems in biology, medicine, healthcare, and the environment. We envision a world in which researchers have ready access to the data needed and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/ https://gen3.org/ https://stats.gen3.org/ and https://ctds.uchicago.edu/. 
Job Summary
The Center for Translational Data Science at the University of Chicago is seeking a Staff Data Scientist to support a diverse range of research projects. Data Scientists work in a collaborative interdisciplinary team and play a critical role in AI/ML tooling, features, and improvements for our open-source software systems and applications, analyzing data, and in understanding and representing user requirements to internal and external stakeholders in our translational data science projects and products. Under the leadership of team or project leads, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data from various sources; organizes, harmonizes, and analyzes data sets and develops tools to assist such processes; uses various technologies to visualize data or enable data visualization; and creates applications of general value to the project and product owners. The job uses best practices and advanced knowledge of data manipulation, statistical applications, programming, analysis and modeling in order to implement projects related to the University's various internal data systems as well as from external sources. 
 
This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
Responsibilities<ul><li>
Leading the Interpretation of data from multiple sources.</li><li>
Developing and implementing software programs and services, software notebooks and software scripts for data transformation, data integration, data analysis and data visualization.</li><li>
Building, validating and evaluating AI/ML models.</li><li>
Contributing to and taking a leadership role in the enhancement and maintenance of previously developed in-house open-source data platforms, systems, applications and notebooks.</li><li>
Performing various types of analysis involving multiple data sets.</li><li>
Leading data science projects and initiatives within purview, by relaying data analysis and model deployment best practices, enhancing the technical knowledge of peers, and helping develop data science skills in junior employees and interns.</li><li>
Leading the conceptualization, design, and execution of sophisticated data science projects and AI/ML solutions for research and production environments.</li><li>
Establish and enforce data governance, quality assurance processes, and operational protocols for large, complex data sets from internal and external sources.</li><li>
Assisting in providing leadership for design of user-facing computational resources.</li><li>
Serving as a reference for staff, faculty members, and Gen3 users as a technical subject matter expert by applying principles of data science to define and scope data science projects that involve developing computational tools and services for data engineering, data manipulation, statistical analysis, and modeling.</li><li>
Collaborating closely with faculty, researchers, and stakeholders to translate scientific and user requirements into actionable data science strategies and solutions.</li><li>
Stay current with developments in data science, machine learning, artificial intelligence, and related fields, and adopt new methods and technologies to advance research goals.</li><li>
Communicate complex technical concepts and project results clearly to technical and non-technical audiences, and present findings at internal and external forums.</li><li>
Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.</li><li>
Guides staff or faculty members in defining the project and applies principals of data science in manipulation, statistical applications, programming, analysis and modeling.</li><li>
Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources.</li><li>
Performs other related work as needed.</li></ul> 
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field. 
Work Experience:
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline. 
Certifications:
-
Preferred Qualifications
Education:<ul><li>
Advanced degree in Computer Science, Data Science, Statistics, Mathematics, Bioinformatics, or a relevant quantitative field.</li></ul>
Experience:
<ul><li>Experience working in data science roles, preferably in an academic, research, or health/science environment.</li><li>
Experience with collaborative open-source projects and software engineering best practices.</li><li>
Experience working in multi-disciplinary academic teams.</li><li>
Knowledge of biomedical and translational research data sources is a significant advantage.</li><li>
Knowledge of hardware specifications required for AI/ML research and projecting resource needs and use in public clouds environments like AWS and GCP.</li><li>
Knowledge of and experience with data and applications of interest to CTDS, including, but not necessarily limited to, AI data commons, AI data meshes, Gen3, NCI Genomic Data Commons, cancer genomics, biomedical imaging data, human clinical data.</li><li>
Expertise in designing and implementing machine learning, deep learning, and statistical models for research and production.</li><li>
Experience with biomedical data.</li><li>
Experience collaborating on manuscripts and submitting papers for peer-reviewed, scientific publications.</li></ul>
Preferred Competencies<ul><li>
Advanced skills in problem solving and quantitative/qualitative analysis.</li><li>
Able to organize and prioritize work assignments to meet project needs and work independently to identify and address needs beyond assigned tasks.</li><li>
Strong communication skills to effectively convey complex findings while serving as a reference and subject matter expert for staff, faculty members, and Gen3 users.</li><li>
Ability to quickly comprehend requirements and assignments and then explain his/her solutions in both writing and speech.</li><li>
Ability to learn new skills quickly and manage complex projects.</li><li>
Proficiency in Python, R, and other relevant programming languages; experience with open-source data science platforms, technologies, and cloud environments.</li><li>
Outstanding analytical, problem-solving, and project management abilities.</li><li>
Proven track record mentoring and leading project teams and communicating technical issues to diverse audiences.</li><li>
Excellent written and verbal communication skills.</li></ul>
Working Conditions<ul><li>
Hybrid office/remote.</li></ul>
Application Documents<ul><li>
Resume/CV (required)</li><li>
Cover Letter (preferred)</li></ul> 
The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions. 
 
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. 
Job Family
Research 
Role Impact
Individual Contributor 
Scheduled Weekly Hours
40 
Drug Test Required
No 
Health Screen Required
No 
Motor Vehicle Record Inquiry Required
No 
Pay Rate Type
Salary 
 
FLSA Status
Exempt 
 
Pay Range
$90,000.00 - $120,000.00
The included pay rate or range represents the University&rsquo;s good faith estimate of the possible compensation offer for this role at the time of posting. 
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. 
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. 
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. 
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. 
The University of Chicago's Annual Security &amp; Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.</div>

Staff Data Scientist & AI Researcher

Capital One

<div>Senior Lead Data Engineer
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:
<ul><li>Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
</li><li>Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
</li><li>Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
</li><li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community
</li><li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
</li><li>Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
</li></ul>Basic Qualifications:
<ul><li>Bachelor&rsquo;s Degree
</li><li>At least 6 years of experience in application development (Internship experience does not apply)
</li><li>At least 2 years of experience in big data technologies
</li><li>At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
</li></ul>Preferred Qualifications:
<ul><li>Master's Degree
</li><li>9+ years of experience in application development including Python, SQL, Scala, or Java
</li><li>4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
</li><li>5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
</li><li>4+ year experience working on real-time data and streaming applications
</li><li>4+ years of experience with NoSQL implementation (Mongo, Cassandra)
</li><li>4+ years of data warehousing experience (Redshift or Snowflake)
</li><li>4+ years of experience with UNIX/Linux including basic commands and shell scripting
</li><li>2+ years of experience with Agile engineering practices
</li><li>Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
</li></ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago, IL: $209,000 - $238,500 for Sr. Lead Data Engineer 
 
 
 
 
 
 
 
 
 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Senior Lead Data Engineer

Walgreens

<div><ul><li>Models and delivers a distinctive and delightful customer experience.</li>
<li>Registers sales on assigned cash register, provides customers with courteous, fair, friendly, and efficient checkout service.</li>
</ul>Customer Experience
<ul><li>Engages customers and patients by greeting them and offering assistance with products and services. Resolves customer issues and answers questions to ensure a positive customer experience.</li>
<li>Models and shares customer service best practices with all team members to deliver a distinctive and delightful customer experience, including interpersonal habits (e.g., greeting, eye contact, courtesy, etc.) and Walgreens service traits (e.g., offering help proactively, identifying needs, servicing until satisfied, etc.).</li>
</ul>Operations
<ul><li>Provides customers with courteous, friendly, fast, and efficient service.</li>
<li>Recommends items for sale to customer and recommends trade-up and/or companion items.</li>
<li>Registers customer purchases on assigned cash register, collects cash and distributes change as requested; processes voids, returns, rain checks, refunds, and exchanges as needed.</li>
<li>Keeps counters and shelves clean and well merchandised, takes inventory, and maintains records. Checks in and prices merchandise as required or as directed by store manager or communicated by the shift leader.</li>
<li>Implements Company asset protection procedures to identify and minimize profit loss.</li>
<li>Ensures compliance with state and local laws regarding regulated products (e.g., alcoholic beverages and tobacco products).</li>
<li>Constructs and maintains displays, including promotional, seasonal, super structures, and sale merchandise. Completes resets and revisions as directed.</li>
<li>Assists with separation of food items (e.g., raw foods from pre-cooked) and product placement as specified by policies/procedures (e.g., raw and frozen meats on bottom shelves). For consumable items, assists in stock rotation, using the first in, first out method and restock outs.</li>
<li>Has working knowledge of store systems and store equipment.</li>
<li>Provides customer service in the photo area, including digital passport photo service, poster print and creative machine, suggestive sell of promotional photo products.</li>
<li>Assumes web pick-up responsibilities (monitors orders in Picture Care Plus, fills orders (pick items), delivers orders to customers as they arrive at store).</li>
<li>Assists with exterior and interior maintenance by ensuring clean, neat, orderly store condition and appearance.</li>
<li>Complies with all company policies and procedures; maintains respectful relationships with coworkers.</li>
<li>Completes special assignments and other tasks as assigned.</li>
</ul>Training &amp; Personal Development
<ul><li>Attends training and completes PPLs requested by Manager or assigned by corporate.</li> 
</ul> 
 
Basic Qualifications
 
<ul><li>Must be fluent in reading, writing, and speaking English. (Except in Puerto Rico)</li>
<li>Requires willingness to work flexible schedule, including evenings and weekend hours.</li> 
</ul> 
 
Preferred Qualifications
 
<ul><li>Prefer six months of experience in a retail environment.</li>
<li>Prefer to have prior work experience with Walgreens.</li>
</ul>The following information is applicable for San Francisco, CA applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
An Equal Opportunity Employer, including disability/veterans.
 
 
The actual compensation that you will be offered will depend on a variety of factors including geography, skills and abilities, education, experience and other relevant factors. This role will remain open until filled. To review benefits, please click here jobs.walgreens.com/benefits. If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits 
 
 
 
 
Salary Range: $17.05 - $19 / Hourly</div>
 <div><h2 class="jobSectionHeader">Benefits</h2>
<ul><li><h3 class="jobSectionHeader">Health, dental and vision*</h3></li>
<li><h3 class="jobSectionHeader">Paid time off benefits</h3></li>
<li><h3 class="jobSectionHeader">Employee discount</h3></li>
<li><h3 class="jobSectionHeader">Retirement Savings Plan (401(k))</h3></li>
<li><h3 class="jobSectionHeader">Flexible hours</h3></li>
<li><h3 class="jobSectionHeader">Training programs</h3></li>
</ul><ul><li>with a 30-hour work week</li></ul></div>

Customer Service Associate - Temporary

Specialized Bicycle Components

<div>Cycling Specialized - Specialized Fulton - Chicago, IL
ABOUT SPECIALIZED
Innovation has guided our every decision since 1974. As more riders of all ages get on the roads, trails, and streets than ever before, we&rsquo;re here to do the best work of our lives to push the greatest human powered machine into the future each and every day. We&rsquo;re a team of barrier-breakers, disrupters, and problem solvers. We&rsquo;re committed to building a diverse and inclusive workforce where every teammate can succeed as we inspire riders everywhere.
In Company Owned Retail, we strive to be a transformative, inclusive, authentic, rider focused, and collaborative team that creates the best bikes and delivers world class rider care attention. Simply said, we provide quality in our products and to our riders at every interaction and are looking for a teammate to be a part of this growing team. Reach out &ndash; we&rsquo;re here to help you build your career at Specialized.
JOB SUMMARY
A critical member of the team, the Cycling Specialist balances a passion for people and excellence in retail.
A Specialized Cycling Specialist is front line and point person for our store, working directly with riders, both present and remote, as a host, mentor, brand advocate, and customer service ace, to identify and locate the goods, services, and experiences needed to provide solutions quickly and frictionless to keep them riding longer and better. A Cycling Specialist delivers locally authentic interactions that express inclusive, transformative, and ride-focused experiences. The Cycling Specialist delivers exceptional rider service; enhances rider satisfaction; and aids in meeting sales and profitability goals.
HOW YOU&rsquo;LL MAKE A DIFFERENCE<ul><li>
Deliver world class rider-service that ensures ongoing sales and high levels of rider satisfaction</li><li>
Meeting and making a connection with riders, asking questions, and listening to riders' needs, then giving options and advice on meeting those needs</li><li>
Inspiring the rider to buy, celebrating the purchase, and creating a lasting positive impression of the specialist, Specialized, and the purchase process</li><li>
Delivering transformative, inclusive, ride-focused, locally authentic, and collaborative experiences for staff and riders alike inside and out, c/o the Specialized Retail Way</li><li>
Assist in ensuring that visual merchandising standards are met and maintained, restocking as needed, ensuring product presentation areas remain clean and organized</li><li>
General cleanliness standards are set at store opening, maintained throughout the day, and reset at close of business, including light janitorial duty</li><li>
Use company literature/resources and available training to stay current on product features</li><li>
Regular, dependable attendance and punctuality</li></ul>
WHAT YOU NEED TO WIN<ul><li>
Passion for cycling and the Specialized brand</li><li>
Bike shop experience preferred</li><li>
A current or former retail employee with 1+ years of experience preferred</li><li>
Excellent communication with the ability to effectively interact with riders and team members</li><li>
Ability to stand for extensive time periods; while occasionally walking, kneeling, or reaching</li><li>
Able to lift at least 50 lbs. or more and use proper lifting skills</li></ul>
TELL ME MORE<ul><li>
Competitive health care (Medical PPO or HDHP)*</li><li>
Dental*</li><li>
Vision*</li><li>
Health Savings Account (HSA)</li><li>
Short and Long Term Disability</li><li>
Company sponsored life insurance</li><li>
Optional Term Life Insurance</li><li>
Optional Critical Illness insurance</li><li>
Optional Critical Accident insurance</li><li>
Competitive vacation package*</li><li>
401(k) with match</li><li>
8 Weeks paid parental leave</li><li>
Paid company holidays</li><li>
Employee discounts on all product</li><li>
Deep partner retail discounts</li><li>
Fitness &amp; Events Reimbursement</li><li>
Employee Assistance Program</li><li>
Commuter Benefits *if applicable in state</li></ul><ul><li>For eligible employees</li></ul>
At Specialized, your base pay is one part of your total compensation package and will depend on your work experience, skills, certification, and location.
 For additional information on benefits and perks, please visit: https://benefits.specialized.com
Here at Specialized we believe that bikes have the power to change lives. Our culture is one of passion, striving to break barriers and have a positive impact on the world.
We want to increase representation of all races, genders, and body types in the cycling industry and are committed to building a diverse and inclusive workforce where all people thrive. We encourage everyone &ndash; especially those from marginalized groups &ndash; to apply to our job postings and help us earn the position as the rider&rsquo;s brand of choice. We are always looking for creative, innovative, and passionate people who are eager to contribute to our mission of pedaling the planet forward. Regardless of your qualifications, if you are ready to make a difference, please apply and let us know how you can make an impact at Specialized!
See what we are up to on LinkedIn, Instagram, and most importantly, our #DogsofSpecialized.</div>

Cycling Specialized - Specialized Fulton - Chicago, IL

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