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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

Synchrony

<div><div><div><h2 class="jobSectionHeader">Overview</h2>
<ul><li>Location: Chicago, Illinois; Stamford, Connecticut; Lake Mary, Florida; Alpharetta, Georgia; New York, New York; Charlotte, North Carolina; Canton, Ohio; West Chester, Ohio; Dallas, Texas; Draper, Utah</li>
<li>Salary: 85,000.00 - 140,000.00 USD Annual</li>
</ul></div></div><div><div><div><div><div><h2 class="jobSectionHeader">About Us</h2>
Synchrony is more than a financial services company, we&rsquo;re a team of passionate innovators committed to delivering best-in-class solutions that support millions of customers across the U.S. With a bold focus on technology, data, and digital innovation, we create meaningful experiences that simplify lives and enable financial wellness.
When you join Synchrony, you become part of an inclusive culture where your voice matters, your growth is championed, and your work drives impactful results.
</div></div></div></div></div><div><div><h2 class="jobSectionHeader">Job Description</h2>
<div><div><div>Job ID</div>
<div>2602127</div>
</div><div><div>Category</div>
<div>Credit &amp; Risk</div>
</div><div><div>Date posted</div>
<div>07/29/2026</div>
</div></div><div>Role Summary/Purpose:
Synchrony's Credit and Capital Management group is looking for a data scientist / credit risk modeling professional experienced with executing, maintaining and developing models under the relevant regulatory guidance (SR 11-7 / OCC 2011-12, CECL, CCAR, DFAST). This role is part of Credit and Capital Management, in the Reserves &amp; Loss forecasting team. The role requires demonstrated expertise with data, statistical analysis and model development, as well as programming skills (Python/Pandas, Spark, Hadoop, SQL, Linux).
The primary focus of this role is on the quarterly reserve development process, as well as planning sessions involving loss forecast and reserve estimate projections. As lead analyst, the role is responsible for executing critical credit estimation models on a quarterly basis, providing analytical input to development of estimates of Credit and Fraud Losses by executing complex statistical, trend-based models with forward looking features.This role analyses trends and drivers of changes across the entire Synchrony portfolio and all products. In addition, robust collateral is required to be produced in support of process risk controls and related documentation as part of effective governance, as well as internal and external review.
The lead analyst will collaborate across different functions in Credit &amp; Capital Management, with IT and model development to manage model enhancements and big data processing.
The person will use their model knowledge, business analysis and process experience to ensure business intent is matched with sound estimates, and communicate with peers and functional leaders, as well as document assumptions and methods to meet accounting rules and model risk management guidelines.
Essential Responsibilities:
<ul><li>Plan and execute models in the production Reserves and Loss Forecasting process with a focus on CECL, as well as allied quantitative estimates such as recoveries and scenario management and stress testing</li>
<li>Maintain model data input monitoring, production controls and output analytics including results analysis along with robust documentation of key facets</li>
<li>Support quarterly review process and quarter closing activities, as well as contribute to effective process controls as peer reviewer</li>
<li>Visualize insights, performance, and trends in inputs/outputs for effective communication and decisioning</li>
<li>Drive understanding of drivers and providing narrative support for the assumptions, rationale, and projections to model owners and sponsors</li>
<li>Assist with responding to model validation, regulatory or other oversight requests, including exam findings or issues. Adhere to and follow model governance standards</li>
<li>Support the development of new models or enhancements to existing models</li>
<li>Aid management of models through their lifecycle, from development phase through to implementation into production and outline enhancements for evaluation and future model releases. Meet project timelines, engage in ongoing analysis, find performance thresholds, manage model version control, performance assessments, seek out opportunities for process and model improvements, collaborate on model re-calibrations, and re-fits when business dynamics change</li>
<li>Collaborate with other cross functional teams &ndash; Forecasting an, Reserve and Stress Testing/Capital Management teams, Model Development, Data Governance, Finance, Collections and Controllership</li>
<li>Perform other duties and/or special projects as assigned</li>
</ul>Qualifications/Requirements:
<ul><li>Bachelor's degree with quantitative underpinning (i.e., Data Science, Computer Science, Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) and 5+ years of experience in Programming / Analytics ideally in support of Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience or in lieu of degree 9+ years of experience in Risk, Credit, Finance, Accounting or Consumer Lending</li>
<li>5+ years&rsquo; experience demonstrating strong programing skills in SQL, Python, Spark with. Proven hands-on experience utilizing using SQL, Python, Spark, Linux, to perform statistical analysis, query relational databases, and manage large amounts of data</li>
<li>Ability and flexibility to travel for business as required</li>
</ul>Desired Characteristics:
<ul><li>Excellent time management with ability to manage multiple competing initiatives and deliver results within deadlines with accuracy and attention to detail</li>
<li>Experience in process improvement, project management or change management</li>
<li>Familiarity with Model Governance trends/developments across the banking sector, especially as related to credit card or consumer lending (SR11-7)</li>
<li>Strong communication skills to facilitate complex discussions in productive and collaborative manner</li>
<li>Positive mindset under tight timelines and critical deliverables</li>
<li>Experience with Linux, HDFS and AWS to collaborate and operate in a cloud computing environment</li>
</ul>Grade/Level: 09
The salary range for this position is 85,000.00 - 140,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.
Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.
Salaries are adjusted according to market in CA, NY Metro and Seattle.
Our Way of Working:
We&rsquo;re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. You will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training and culture events.
<ul><li>Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.</li></ul>
Eligibility Requirements:
<ul><li>You must be 18 years or older</li>
<li>You must have a high school diploma or equivalent</li>
<li>You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process</li>
<li>You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.</li>
<li>New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months&rsquo; time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months&rsquo; time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don&rsquo;t meet the time in position or performance expectations).</li>
</ul>Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Our Commitment:
When you join us, you&rsquo;ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard &ndash; but valued. Together, we&rsquo;re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.
This starts when you choose to for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We&rsquo;re proud to have an award-winning culture for all.
Reasonable Accommodation Notice:
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to<ul><li> for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.</li>
<li>If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am &ndash; 5pm Monday to Friday, Central Standard Time</li>
</ul>Job Family Group:
Credit</div></div></div></div>

Senior Analyst, Credit Operations Modeling

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

J2B GLOBAL LLC

<div><div><div><div><h3 class="jobSectionHeader">Principal ML Engineer</h3>
</div><div>C2CContract
</div></div><div>Chicago, IL
</div><div>Visa: US CitizenH1BTNGreen CardGC-EADH4-EADEAD
</div><div>Role: Principal ML Engineer Location: Dallas, TX - 5 days onsite from day 1 Secondary locations: Chicago, IL and New York City, NY Job Description: Responsibilities: Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights within Mail and the broader client's ecosystem. Innovate and Personalize: Assist in building scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences. Technical Leadership: Guide and mentor a team of passionate engineers, fostering a culture of innovation and excellence. Your leadership will ensure the delivery of high-quality, user-centric solutions. Collaborative Development: Work with cross-functional teams to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions. Data-Driven Insights: Apply machine learning techniques and big data processing to derive insights from mail data, enhancing content and user knowledge. Tool and Workflow Development: Develop AI/ML tools and workflows to manage and utilize large datasets, supporting AI-based infrastructure and analytics. A/B Testing and Analysis: Run regular A/B tests, gather data, and draw conclusions on the impact of your models. Commitment to Excellence: Maintain high engineering standards, focusing on code quality and architectural skills, while delivering optimal user experiences. Feedback and Recovery: Implement feedback loops and recovery paths to handle AI failures gracefully, ensuring user satisfaction. Balance Tradeoffs: Manage cost, quality, and speed tradeoffs in AI/ML solutions to optimize performance. A lot about YOU Educational Background: You have a strong foundation in computer science, data science, or a related field, with a focus on machine learning and AI technologies. Technical Skills: Proficient in programming languages such as Python or Java and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. AI Skills: Advanced AI skills, including experience with AI development tools and frameworks. Problem-Solving Ability: You possess strong analytical skills and a knack for solving complex problems using data-driven approaches. Collaboration: You are a team player who can work effectively with cross-functional teams, including tech leads and architects, to deliver high-quality solutions. Passion for Innovation: You are enthusiastic about leveraging AI/ML to drive innovation and enhance user experiences across Mail and the broader ecosystem. Attention to Detail: You maintain high standards for code quality and are committed to delivering robust, scalable solutions. Continuous Learning: You are eager to stay updated with the latest advancements in AI/ML and apply them to improve products and services. Qualifications Educational Requirement: Bachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus. Experience: 8+ years of experience in machine learning, data analysis, or a related field. Technical Proficiency: Expertise in Python, Java, or C++ and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. Data and Infrastructure: Proficient in big data technologies (Hadoop, Spark) and modern ML infrastructure (Airflow, MLFlow, feature stores, vector databases, CI/CD for ML). Generative AI and Optimization: Hands-on experience with LLMs, generative AI (prompt engineering, Agent frameworks, fine-tuning, RAG, LLMOps), and GPU optimizations. Observability and Feedback: Familiar with observability, telemetry, and user feedback loops for product improvement. Algorithm Knowledge: Solid understanding of machine learning algorithms, natural language processing, and data mining techniques. Problem-Solving Skills: Demonstrated ability to solve complex problems and implement efficient, scalable solutions. Collaboration Skills: Ability to work effectively in a team environment and collaborate with tech leads, architects, and cross-functional teams. Communication Skills: Strong verbal and written communication skills to articulate complex technical concepts to non-technical stakeholders. Continuous Improvement: Eagerness to learn and adapt to new technologies and methodologies in the AI/ML domain. Preferred Qualifications Mail Experience: Prior experience working with email systems or related technologies is a plus. Personal Attributes: Self-driven and detail-oriented, with a passion for tackling challenges. Strong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively. Cloud Experience: Experience with public cloud platforms, especially Google Cloud Platform (GCP), is preferred.</div></div><div> Refer</div></div>

Principal ML Engineer

Uber

<div>About the Role
 
 
Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.
 
 
We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.
 
 
What You'll Do
 
 
This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.
 
 
Basic Qualifications
<ul><li>6+ years of experience developing ML models to solve business problem.
</li><li>Bachelor's degree in Computer Science, Computer Engineering, or related fields.
</li><li>Familiar with modern AI/ML frameworks (e.g., PyTorch).
</li></ul>Preferred Qualifications
<ul><li>Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical.
</li><li>Previous experience with state-of-the-art marketplace technology is preferred.
</li>Experience with causal inference and constrained optimization 
<li>
</li></ul> 
 
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year. 
 
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. 
 
Ready to Ride? 
 
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you. 
 
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
 
 
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements. 
 
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Staff Machine Learning Engineer

Kirkland & Ellis

<div>About Kirkland &amp; Ellis
At Kirkland &amp; Ellis, we don&rsquo;t just meet the standard for legal excellence &mdash; we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers&rsquo; commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
What You&rsquo;ll Do
Are you passionate about turning complex data into meaningful insights that drive business decisions?
As a Business Intelligence Data Modeler Engineer II, you&rsquo;ll play a critical role in shaping how data is structured, accessed, and for enterprise business intelligence. Partnering closely with business analysts, data engineers, and business stakeholders, you&rsquo;ll design and support development of data models that power reporting, analytics. This role blends technical expertise with business insight, giving you the opportunity to influence how data supports enterprise-wide decision-making.<div><ul><li> 
Data Modeling Design: Create and maintain conceptual, logical, and physical data models that support reporting and analytics across enterprise systems.</li><li>Business Partnership: Collaborate with stakeholders to translate business needs into scalable data structures and solutions.</li><li>ETL Development Support: Contribute to the design of Extract, Transform, Load (ETL) processes to ensure efficient data movement into Business Intelligence (BI) platforms and warehouses.</li><li>Data Quality &amp; Validation: Implement checks and rules to ensure data accuracy, consistency, and reliability across systems.</li><li>Performance Optimization: Continuously monitor and refine data models and database performance for efficient querying and reporting.</li><li>Documentation &amp; Governance: Maintain clear documentation of models, schemas, and data flows while adhering to data governance standards.</li><li>Data Security: Help design access controls and security measures to protect sensitive data.</li><li>Advanced Querying: Develop and utilize Structured Query Language (SQL) queries for ad hoc analysis, troubleshooting, and data validation.</li><li>Agile Collaboration: Participate in Agile workflows across analysis, development, quality assurance (QA), and user acceptance testing (UAT) phases as a data subject matter expert.</li><li>Domain Expertise: Build strong knowledge of business systems and data domains to support strategic initiatives.</li><li>Continuous Learning: Stay current with evolving technologies and industry trends in data modeling and analytics.</li></ul></div> 
What You&rsquo;ll Bring
<ul><li>Education: Bachelor&rsquo;s degree in computer science, a related field, or equivalent practical experience.</li><li>Experience: 7+ years of experience in data modeling, data warehousing, and ETL processes.</li></ul><div>
Required 
<ul><li>Data Modeling Expertise: Strong Hands-on experience of dimensional modeling, fact tables, star/snowflake schemas, slowly changing dimensions (SCDs), and tools like Erwin.</li><li>Technical Skills: Expertise with SQL (including Transact-SQL) and deep experience with relational database systems such as Microsoft SQL Server.</li><li>Data Engineering Knowledge: Experience with data pipelines using ETL or Extract, Load, Transform (ELT) techniques and tools such as Azure Data Factory (ADF) to load data into analytics data marts, data warehouses and data lakes. Experience with analytics data platforms such as Azure Synapse Analytics, OneLake or Microsoft Fabric.</li><li>Analytics &amp; BI Tools: Familiarity with Business Intelligence (BI) platforms such as Microsoft Power BI and Qlik Sense, and experience supporting enterprise reporting.</li><li>Programming &amp; Scripting: Exposure to Python, PySpark, Databricks, or programming languages like Java or C# is a plus.</li><li>Data Governance &amp; Security: Understanding of data governance principles, access controls, and data protection best practices.</li><li>Business Acumen: Experience working with operational analytics domains such as Human Resources (HR), Finance, or Risk Management; professional services industry experience is a plus.</li><li>Collaboration &amp; Communication: Strong problem-solving, interpersonal, and communication skills with the ability to work cross-functionally.</li><li>Work Style: Highly organized, self-motivated, and able to thrive in a fast-paced, Agile project environment managing multiple priorities.</li></ul></div>
If you&rsquo;re ready to help shape how data drives smarter decisions and deliver impactful insights as a Business Intelligence Data Modeler Engineer II, we&rsquo;d love to hear from you! 
Compensation
The base salary range below represents the low and high end of the salary range for this position in Chicago. This range may differ based on your geographic location and cost of living considerations. At Kirkland &amp; Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.
Compensation Range:
Chicago: $116,000 - $144,000
How to Apply
Thank you for your interest in Kirkland &amp; Ellis LLP. To complete an application and submit your resume, please click &quot;Apply Now.&quot;
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.
Equal Employment Opportunity
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee&rsquo;s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. #LI-Hybrid #LI-CF1</div>

Business Intelligence Data Modeler Engineer II

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