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data scientist

Caterpillar

<div>Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world 
As a Data Scientist in the aftermarket analytics team, you will drive parts and services growth by building data-driven solutions that enhance digital products and customer experiences. You will apply analytics and machine learning to solve complex problems, with a focus on personalization and recommendations. You will partner with cross-functional teams, owning components of projects end-to-end while contributing to high-impact solutions that deliver measurable business value.
What You Will Do:<ul><li>
Apply machine learning, statistical modeling, causal inference, and emerging GenAI techniques to understand customer behavior and deliver recommendation and personalization solutions that drive measurable business value</li><li>
Develop and deploy data-driven solutions that optimize digital experiences, including recommendation systems and AI-powered assistants (e.g., conversational insights, targeting, and sales enablement use cases)</li><li>
Partner with product, engineering, and business stakeholders to translate business problems into scalable analytical and AI-driven solutions</li><li>
Own components of analytics and data science projects end-to-end, from exploration and modeling to delivering production-ready insights or features</li><li>
Demonstrate strong initiative to research and apply new techniques, including GenAI approaches, to improve customer impact</li><li>
Communicate findings clearly to technical and non-technical audiences, influencing decisions through data-driven storytelling</li></ul>
What you will have:
<ul><li>Analytical Thinking: Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; Knowledge of techniques and tools that promote effective analysis.</li><li>
Data Cleaning, Analysis, and Preparation: Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.</li><li>
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Experience completing specific tasks and initiatives utilizing machine learning technologies, such as classification, regression, or optimization and specific tools and techniques to process descriptive and inferential statistics.</li><li>
Programming Languages: Experience and fluency with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li><li>
Collaboration &amp; Effective Communication: Experience working closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challenges.</li></ul>
Consideration for top candidates:<ul><li>
Bachelors, Masters, or PhD degree in statistics, economics, mathematics, data science or similar degree</li><li>
Experience utilizing quantitative analysis, or a Master&rsquo;s degree or PhD in related field</li><li>
Experience in eCommerce and/or digital products domains</li><li>
Experience with advanced data analysis and statistical methods including regression and hypothesis testing</li><li><div>
Practical applications of machine learning techniques, including Collaborative Filtering, Clustering, and emerging GenAI techniques</div></li><li>
Strong technical and problem-solving skills and evidence of continuous learning in the analytics field</li><li>
Experience leading analytics projects connecting data from various business domains and providing forecasts and insights to run the business profitably</li><li>
Experience with cloud technologies (AWS, Azure, Snowflake, Google Cloud, etc.)</li></ul>
Additional Details:<ul><li>
This position requires the candidate to be in Chicago, IL</li><li>
Relocation assistance is NOT available for this position</li><li>
Visa sponsorship is NOT available with this position.</li></ul>
Summary Pay Range:
$97,530.00 - $158,480.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.<ul><li>
Medical, dental, and vision benefits*</li><li>
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</li><li>
401(k) savings plans*</li><li>
Health Savings Account (HSA)*</li><li>
Flexible Spending Accounts (FSAs)*</li><li>
Health Lifestyle Programs*</li><li>
Employee Assistance Program*</li><li>
Voluntary Benefits and Employee Discounts*</li><li>
Career Development*</li><li>
Incentive bonus*</li><li>
Disability benefits</li><li>
Life Insurance</li><li>
Parental leave</li><li>
Adoption benefits</li><li>
Tuition Reimbursement</li></ul>
<ul><li>These benefits also apply to part-time employees</li></ul>
Visa Sponsorship is not available for this position.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.</div>

Data Scientist, eCommerce Analytics

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

Rush University Medical Center

<div>Location: Chicago, Illinois
Business Unit: Rush Medical Center
Hospital: Rush University Medical Center
Department: Research Computing
Work Type: Full Time Remote (Total FTE between 0.9 and 1.0)
Shift: Shift 1
Work Schedule: 8 Hr (8:00:00 AM - 5:00:00 PM)
Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).
Pay Range: $34.61 - $51.57 per hour
 
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush&rsquo;s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.
Summary:
 
The Analyst will support the research, clinical, quality improvement, and business data analysis needs of Rush University Medical Center. The Analyst will assist clinical faculty and Principal Investigators to identify and gather necessary data that span operational through research needs and will build databases to permit queries. The analyst will have a direct reporting relationship to the Knowledge Management Team, Medical Director, and Chief Analytics Officer, who are the subject matter experts in data access and research data requests. Exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.
<div>Other information:
 
Required Job Qualifications:
 
<ul><li>Master's degree in information science, computer science, epidemiology, biostatistics, or equivalent technical experience.
</li><li>Strong analytic, issue resolution, and facilitation skills.
</li><li>Demonstrated proficiency writing SQL stored procedures or queries.
</li><li>Able to present complex information in an understandable and compelling manner.
</li><li>Able to prioritize and multi-task to manage expectations of multiple stakeholders.
</li><li>Able to deliver high quality, timely work product with significant autonomy.
</li><li>Effectively adapts to rapid changes in project or data requirements and changing directions.
</li><li>Strong written and verbal communication.
</li><li>Effective interpersonal and teamwork skills.
</li><li>Expertise with data and analytics tools.
</li><li>Experience querying and analyzing data with SQL programming language or equivalent tools.
</li></ul> 
Preferred Job Qualifications:
 
<ul><li>At least three years of experience in statistical software (e.g. SAS or R), with data science experience.
</li><li>Some experience in the health care setting.
</li><li>Familiarity with healthcare industry or healthcare information systems.
</li><li>Experience with Epic.
</li><li>Experience with financial /claims data. 
</li></ul></div><div>Responsibilities:
 
<ul><li>Gather business/data requirements from clinical faculty and Principal Investigators and collaborate on the best way to design studies or to build study cohorts based on the Analyst's knowledge of available systems. Acts as interface between clinical experts and IT to determine feasibility, timelines, and cost of date requests.
</li><li>Uses third party software tools and research data warehouse in development of queries and visualizations. Creates research data marts using the enterprise IT architecture.
</li><li>Serves as representative for the KM Team on committees and initiatives that involve multi-site studies to facilitate IT and research informatics collaborations.
</li><li>Participates in analytics-based projects that leverage data collected from electronic medical records to measure and predict patient outcomes.
</li><li>Works with statisticians and mathematicians to design predictive models using statistical and machine learning methods that will predict patient outcomes.
</li><li>Develops analytic data sets for research and operations and uses statistical software (SAS or R) to analyze data sets as requested by departmental faculty.
</li><li>Produces reports that facilitate evidence-based clinical and financial decisions.
</li><li>Works with CRIO/CMIO/Knowledge Management team to develop new data queries and toolsets.
</li><li>Member of the IT business intelligence/knowledge management team at Rush. Maintains peer relationship and collaborative knowledge exchange with IT counterparts.
</li></ul></div>Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.</div>

Clinical Data Analyst

<div>
 
 DRW
 
 is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
 
 
 Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
 
 
 We operate with respect, curiosity and open minds. The people who thrive here share our belief that it&rsquo;s not just what we do that matters&ndash;it's how we do it.
 
 DRW
 
 is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
 
 
 
 About The Team
 
 
 
 The DRW Cumberland &amp; FICC Options Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval.
 
 
 
 About The Role
 
 
 
 We are seeking a Data Engineer to join our trading team. This role will be responsible for onboarding, transforming, and curating datasets. You will collaborate closely with traders, researchers, and quantitative developers to support options and delta-one trading strategies. In this role you will:
 
 
 <ul>
 <li>
 Build, maintain, and manage core trading datasets
 </li>
 <li>
 Implement data quality and control processes
 </li>
 <li>
 Incorporate new data from both internally derived and vendor systems
 </li>
 <li>
 Collaborate with research teams to apply novel ideas to historic data sets
 </li>
 <li>
 Create AI sympathetic annotations to new and existing data sets
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3+ years of demonstrated experience designing and implementing ingestion pipelines
 </li>
 <li>
 Foundational understanding of the Python data science ecosystem
 </li>
 <li>
 Strong understanding of option and future products and their respective data requirements
 </li>
 <li>
 Strong understanding of financial point-in-time and time-series data and analysis
 </li>
 <li>
 An understanding of the financial data vendor landscape and product offerings
 </li>
 <li>
 Proven expertise in developing data quality control processes to detect gaps or inaccuracies
 </li>
 <li>
 Experience with monitoring, observability, and alerting systems for data pipelines
 </li>
 <li>
 Proven ability to work in an agile, fast-paced environment and handle trading environment demands
 
 
 </li>
 </ul>
 The annual base salary range for this position is $150,000 to $200,000 depending on the candidate&rsquo;s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&amp;D insurance, health savings accounts, and flexible spending accounts.
 
 
 
 For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.
 
 
 
 
 California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.
 
 
 
 LI-BL1
</div>

Data Engineer, Cumberland/FICCO

Wonder

<div>About Grubhub
At Grubhub, we believe food is more than just a meal: It&rsquo;s a source of discovery, connection, and pure enjoyment. There&rsquo;s a time and place for every type of dish, from hidden neighborhood gems to tried-and-true favorites, and we exist to connect people with the food they love in all the ways they like to dig in. We&rsquo;ve been at it since 2004, but now, as part of Wonder, Grubhub is operating with a renewed sense of momentum and the high-velocity energy of a powerhouse startup.
As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in more than 4,000 cities, creating the ultimate food experience by elevating online ordering through innovative restaurant technology, easy-to-use platforms, and an improved delivery experience. We are constantly finding new ways to innovate&mdash;from integrated grocery delivery with groceries powered by Instacart to exclusive loyalty programs. Join our team, based out of New York City, Chicago and Denver, and help us give our diners the exceptional value they deserve.
About The Opportunity
As a Sr Analyst - Merchant Network Strategy &amp; Analytics you will be responsible for analyzing complex data sets, identifying trends, and providing actionable insights that directly impact strategic decision-making and drive business growth. You will also be the architect of a connected ecosystem of dashboards and reports that empower teams across the business to move faster, smarter, and more confidently. This involves executing advanced analyses, improving reporting processes, and collaborating closely with senior leadership to address critical business challenges.
You will work with cross-functional teams to optimize business performance, implement strategic initiatives, and ensure that business decisions are backed by robust data analysis and reliable 'source of truth' reporting and metrics. Your work will have a direct impact on fostering growth and operational efficiency as well as influencing how key projects are executed and ensuring that the organization stays competitive in a rapidly evolving market.
You will primarily support the Merchant Network team, who is responsible for signing, onboarding, retaining, and growing restaurant partners on Grubhub.
The Impact You Will Make<ul><li>
Analyze Complex Data -Sets: Perform sophisticated analytics to understand critical drivers of business performance, including fraud prevention, customer care, and logistics operations. Leverage your analytical curiosity to proactively uncover data trends, anomalies, and other key insights that can help the company grow faster, reduce costs, and increase profitability.</li><li>
Build and Maintain Dashboard Ecosystems: Develop and manage a connected ecosystem of dashboards and reports across platforms such as Tableau and Redash. Ensure seamless integration and data consistency to support company-wide consumption.</li><li>
Support Cross-Functional Business Leaders: Collaborate with leaders to address business challenges, providing insightful analysis to help them understand the financial implications of their strategies and decisions. Present your findings and recommendations in clear, actionable formats, working with stakeholders to ensure that data-driven solutions are incorporated into business strategies. Influence key decisions with high-quality analysis and insights.</li><li>
Transform Business Requirements into Actionable Insights: Collaborate with cross-functional stakeholders to gather requirements and translate them into intuitive, data-driven dashboards and reporting solutions. Ensure outputs are tailored to drive strategic and operational decisions.</li><li>
Monitor and Report on KPIs: Take ownership of preparing, tracking, monitoring and communicating key performance indicators (KPIs) on a regular, recurring cadence.. Investigate variances and anomalies, identify trends, and communicate findings to Leadership to inform strategic decision-making.</li><li>
Develop and Maintain Financial Models: Design and implement financial models to support key strategic initiatives across various departments. Provide data-driven insights that help guide decision-making related to resource allocation, cost optimization, and performance improvement.</li><li>
Maintain a Central Source of Truth: Establish, document, and maintain a &ldquo;Source of Truth&rdquo; for company-wide metrics. Drive consistency in metric definitions, data sources, and reporting methodologies across the organization.</li><li>
Drive Reporting Automation and Scalability: Identify opportunities to automate recurring reporting tasks and streamline dashboard creation. Build scalable reporting frameworks and reusable templates to support future business growth. Work to optimize reporting tools, dashboards, and data collection methods, ensuring that data presented to stakeholders is both accurate and timely.</li><li>
Drive Continuous Improvement: Look for opportunities to improve data processes, enhance reporting efficiency, and increase the overall impact of analytical outputs.</li><li>
Mentorship and Collaboration: Act as a mentor for junior analysts, helping them to refine their skills and grow within the role. Foster a collaborative environment where analytical best practices are shared across teams and departments.</li><li>
Stay Ahead of Market Trends: Stay informed about industry developments, competitor activities, and emerging technologies. Use this knowledge to refine analyses and make proactive recommendations that help the company stay competitive and innovative.</li></ul>
What You Bring to the Table<ul><li>
Experience: 3-5 years of experience in a Data, Business Intelligence, or Analytics role, with a proven track record of leading advanced data analyses and providing actionable insights that inform strategic business decisions, and a demonstrated ability to develop impactful dashboards and reporting tools that drive business decision-making.</li><li>
Education: Bachelor&rsquo;s degree in Business, Finance, Economics, Statistics, Mathematics, Data Analytics, Computer Science, or a related field. An advanced degree or certifications in data science, business analytics, or related areas is a plus.</li><li>
Technical Skills:</li><li>
Advanced proficiency in data analysis tools such as Excel, SQL, and data visualization platforms (e.g., Tableau, Power BI).</li><li>
Familiarity with data modeling, cleaning, and transformation best practices.</li><li>
Exposure to Python for data analysis, modeling &amp; automation, analysis, and data pipeline optimization is preferred.</li><li>
Understanding of statistical concepts and techniques, including regression analysis, hypothesis testing, and forecasting is a plus.</li><li>
Comfortable balancing speed and accuracy while developing scalable reporting solutions.</li><li>
Experience with data cleaning, transformation, and analysis processes.</li><li>
Analytical Expertise: Expertise in interpreting complex data sets and delivering clear, actionable insights. Ability to manage large-scale data projects, identify emerging trends, and provide recommendations that drive significant business impact. Strong sense of ownership over data quality, structure, and reporting consistency.</li><li>
Business Acumen: Strong understanding of business strategy, financial modeling, and operational metrics. Ability to synthesize data into strategic recommendations that drive profitability, operational efficiency, and growth. Ability to frame analytical findings within a business context and influence decisions with data.</li><li>
Problem-Solving and Strategic Thinking: Strong critical thinking and problem-solving abilities, with the capability to address business challenges at a strategic level. Ability to lead and implement data-driven solutions to complex problems.</li><li>
Communication Skills: Exceptional written and verbal communication abilities, adept at presenting data insights to diverse audiences, including executive leadership. Proven ability to influence business decisions by translating complex data into accessible and actionable information for both technical and non-technical stakeholders.</li><li>
Attention to Detail and Accuracy: High level of precision and accuracy in data analysis, with the ability to manage multiple tasks while maintaining a focus on quality and integrity.</li><li>
Adaptability and Innovation: Ability to adapt quickly to changing business needs and drive continuous improvement with evolving data tools and analytics techniques. Agile mindset with a passion for continuous learning</li></ul>
As a matter of company policy, Wonder does not sponsor applicants for employment visa status for this role.
Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome&mdash;and encouraged&mdash;to be in the office up to 5 days a week if it works for you.
#LI-Hybrid
New York: $128,000 per year
Illinois: $115,000 per year
Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.
Benefits
We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.
A Final Note
At Wonder, we build the best teams by hiring with an objective lens &mdash; evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know.
We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.</div>

Sr Analyst - Merchant Network Strategy & Analytics

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

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

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