ai, data & tech - technology strategy senior associate

data engineer

senior data engineer (aws, azure, gcp) Jobs in Chicago

senior data engineer (aws, azure, gcp)

agentic ai data scientist Jobs in Chicago

agentic ai data scientist

ai trainer/data annotator - remote Jobs in Chicago

ai trainer/data annotator - remote

ai, data & tech - technology strategy senior associate Jobs in Chicago

principal 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.
Your Work Shapes the World at Caterpillar Inc.
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.
Job Summary:
eCommerce is a key digital enabler to Caterpillar&rsquo;s aftermarket parts and services growth strategy. Delivering on the Caterpillar brand promise of premium, high-quality solutions is an important element in accelerating the development and deployment of Caterpillar&rsquo;s expanded capabilities in eCommerce.
The principal data scientist &ndash; Search Quality Framework is responsible for architecting and implementing an advanced, AI-driven search quality framework that rigorously validates whether search enhancements deliver the intended outcomes. This role leverages sophisticated data science skills, including designing and deploying machine learning (ML) and deep learning models tailored for search relevance, ranking, and personalization. Key responsibilities involve developing automated evaluation pipelines using statistical analysis, A/B testing, and custom metrics to measure the impact of new algorithms on user experience and business goals This role combines strategic vision, hands-on AI/ML expertise, and leadership to build scalable, high-performance search algorithms that deliver exceptional user experiences. 
What You Will Do:<ul><li>
Technical Strategy: Define and implement a long-term technical vision for the search platform to ensure scalability and adaptability to growing data volumes and query complexity.</li><li>
Team Leadership: Mentor and guide a team of search engineers through technical reviews, best practices, and collaborative problem-solving.</li><li>
Feature Development: Introduce advanced capabilities such as NLP, vector search, and personalization to enhance relevance and accuracy.</li><li>
Data Analysis &amp; Optimization: Build search capabilities with measurable KPIs (e.g., CTR, Query Distribution, Zero Search) and leverage analytics to continuously improve search performance.</li><li>
Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to align search initiatives with business objectives</li></ul>
Algorithm Development &amp; Modeling<ul><li>
Optimization Models: Profile and tune deep learning algorithms for maximum search efficiency for keyword matching, user data and behavior, preferences, popularity, and more.</li><li>
Behavioral Models: Profile the end-users&rsquo; behaviors and signals and fine-tune models to reflect to rearrange the search facet values</li><li>
Context Models: Leverage AI/MI/LLM models to discern user intent and capture in relevant search categories</li><li>
Categorization Models : Leverage the Graph based models to build fitment recommendation based on Bill of materials.</li><li>
Personalization Models: Rule based segmentation, ML based recommendation models, PFM &ndash; SSL models and Implicit Personalization models to enhance the search</li></ul> 
What You Will Have:<ul><li>
Search AI/ML Models: Strong track record to deploy Search related ML models in large industrial /automobile / Manufacturing parts application (Learning-Rank, Lambda MART, Deep Ranking Models)</li><li>
Search &amp; Data Quality Frameworks: Extensive background in building frameworks that continuously monitor and improve search accuracy.</li><li>
Generative AI &amp; LLMs: Proficiency in Fine-tuning and Prompt Engineering for Large Language Models, specifically using Retrieval-Augmented Generation (RAG), Indexing models BM25, Sematic Retrieval, Query rewrite etc</li><li>
ML Platform Experience: Proven ability to work with large-scale search logs, Product data and build robust future/label pipelines and deploy models thru MLOps/ML platforms and API&rsquo;s in Cloud environment (AWS/Azure/GCP)</li><li>
Business Statistics: Extensive experience with statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.</li><li>
Analytical Thinking: Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.</li><li>
Programming Languages: Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms to write and modify programming languages.</li><li>
Requirements Analysis: Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.</li></ul>
Considerations for Top Candidates:<ul><li>
Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence &amp; Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree</li><li>
Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges.</li><li>
Extensive experience with advanced data analysis, machine learning such as clustering, Log regressions, neural nets and statistical methods such as statistical process control, etc. (typically 8+ years)</li><li>
Experience in practical applications of onboard architecture / software (e.g. mini projects using Raspberry Pi or any other architecture is a bonus)</li><li>
Working experience with heavy equipment engineering or data analysis.</li><li>
Familiarity with A/B testing frameworks for evaluating and improving model-driven features - nice to have.</li><li>
Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.)</li><li>
Advanced experience with version control / repositories such as GitHub</li><li>
Experience operating in an Agile environment</li><li>
Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.</li></ul>
What You Will Get:
Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We&rsquo;ve created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us.
About Caterpillar
Caterpillar Inc. is the world&rsquo;s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we&rsquo;ve been helping customers build a better, more sustainable world and are committed to and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.
Summary Pay Range:
$147,760.00 - $240,110.00
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>
Relocation is available for this position.
Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at www.caterpillar.com/careers.
Posting Dates:
March 11, 2026 - March 20, 2026
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>

Principal Data Scientist

BMO Financial Group

320 S Canal Street Chicago Illinois,60606
 
<div><div><div>Job Description</div></div><div><div><div><div>
Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.<ul><li>
Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.</li><li>
Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.</li><li>
Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs.</li><li>
Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models.</li><li>
Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.</li><li>
Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.</li><li>
Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.</li><li>
Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.</li><li>
Ensures alignment between values and behaviours that fosters diversity and inclusion.</li><li>
Regularly connects work to BMO&rsquo;s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.</li></ul> 
Qualifications:
Advanced level of proficiency:<ul><li>
Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field.</li><li>
5+ years of data science experience.</li><li>
In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc.</li><li>
Data visualization and polished communication skills.</li><li>
Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.</li><li>
Highly analytical, technically proficient, and able to learn new tools and ML models quickly.</li><li>
Trust, bias and ethics.</li><li>
Collaboration &amp; team skills; with a focus on cross-group collaboration.</li><li>
Able to manage ambiguity.</li><li>
Data driven decision making.</li><li>
Experience with GenAI LLM models</li><li>
Experience with MLOps, building workflows for model retraining, monitoring and deploying</li><li>
Experience with ML frameworks such as TensorFlow, PyTorch</li><li>
Experience with cloud-based data platforms such as AWS or Azure</li><li>
Experience with data visualization tools such as Power BI</li></ul></div></div></div></div>
Salary:
$122,400.00 - $228,000.00
Pay Type:
Salaried
The above represents BMO Financial Group&rsquo;s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.
BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one &ndash; for yourself and our customers. We&rsquo;ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we&rsquo;ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at https://jobs.bmo.com/us/en
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</div>

Information Technology Senior Management Forum

<div><div>Posted Date
3/18/2026
</div><div>Description
<div>Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience with development of Generative AI models</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: $147,100 - $167,900 for Princ Associate, Data Science 

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science 

Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science 
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).
Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience with development of Generative AI models</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: $147,100 - $167,900 for Princ Associate, Data Science 

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science 

Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science 
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>
</div><div>Salary
147,100.00 - 167,900.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights

84.51°

<div><div>84.51&deg; Overview:

84.51&deg; is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51&deg; Insights, 84.51&deg; Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

84.51&deg; follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.

Join us at 84.51&deg;!

__________________________________________________________</div> 
Senior Data Scientist (P4513)

Summary

The SCORe team is seeking a Senior Data Scientist to support ecommerce retail operations, focusing on optimization and data science. The ideal candidate combines strong technical skills in optimization and production-quality code development with a practical understanding of retail operations. This role most closely aligns with an Optimization Science / Operations Research skillset.

Responsibilities
<ul>
<li>Research, develop, and implement optimization models that directly support live ecommerce retail operations at scale.</li>
</ul><ul><li>Write production-grade, computationally efficient code that supports near real-time decision-making for in-store and ecommerce operations.</li>
</ul><ul><li>Lead the development and delivery of analytical plans to support client roadmaps, ensuring the adoption of best practices and innovative ideas.</li>
</ul><ul><li>Collaborate with stakeholders to understand business objectives, designing and delivering best-in-class solutions.</li>
</ul><ul><li>Partner with engineering, product, and research teams to implement best practices for analysis, storage, and quality assurance.</li>
</ul><ul><li>Conduct analytic experiments and explore emerging methods to support project development and business objectives; share findings with the team.</li>
</ul>
Qualifications, Skills, and Experience
<ul>
<li>Bachelor's degree in mathematics, statistics, operations research, data science, or a related discipline.</li>
</ul><ul><li>2+ years of experience developing and implementing optimization models, preferably at enterprise scale.</li>
</ul><ul><li>2+ years of experience writing production-quality code in Python.</li>
</ul><ul><li>2+ years of experience developing and deploying solutions on cloud platforms (Azure, Databricks, etc.).</li>
</ul><ul><li>Proficiency in querying and manipulating large datasets from relational databases.</li>
</ul><ul><li>Expertise in data wrangling, cleaning, and preparation.</li>
</ul><ul><li>Ability to present technical solutions to a non-technical audience.</li>
</ul><ul><li>Strong analytical and creative problem-solving skills.</li>
</ul><ul><li>Grocery, retail, and/or ecommerce operations experience is a plus.</li></ul> 


#LI-SSS</div>

Senior Data Scientist (P4513)

The Hartford

<div>Data Scientist - GD08AE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
Step into the future with The Hartford as an AI Scientist, where Generative AI isn&rsquo;t just a buzzword&mdash;it&rsquo;s central to our strategy. Join a team that&rsquo;s advancing AI‑driven solutions across underwriting and sales enablement, transforming how complex commercial risks are evaluated and decisions are made. As part of our Applied AI Middle &amp; Large Business team, you&rsquo;ll work on high‑impact use cases and help shape the development of GenAI capabilities embedded directly into core business workflows. Here, your work delivers real, measurable impact&mdash;driving innovation, efficiency, and smarter decision‑making with cutting‑edge AI tools. If you&rsquo;re looking for a role where your expertise is essential to the future of commercial insurance, The Hartford is the place for you. 
 
We are looking for a technically proficient GenAI data scientist with deep implementation experience in building and evaluating GenAI systems, and a proven ability to stay at the forefront tools and techniques in the evolving AI landscape. 
 
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). 
 
Responsibilities: 
 
Support The Hartford&rsquo;s AI innovation strategy to identify and implement high-end use cases, ensuring alignment with business objectives and emerging industry trends.
 
Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry. 
Partner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts. 
Design and build GenAI solutions for tasks such as summarization, question answering, search, data synthesis, etc.
Design, build, and support traditional machine learning solutions, while developing and maintaining robust Python infrastructure using strong coding fundamentals such as object‑oriented programming, modular design, and testing. 
Apply AI techniques to complex and heterogeneous risk exposures within Middle &amp; Large Commercial portfolios. 
Rapidly prototype with cutting-edge tools, such as VertexAI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc. 
Research and recommend novel foundation model options, tools, and libraries to improve solutions in performance and reliability. 
Develop evaluation pipelines for generative outputs using a mix of automatic metrics, human feedback, and llm-as-a-judge methods. 
Collaborate with ML Ops to ensure best practice is followed for scalable training and deployment. 
 
 
 
Qualifications: 
 
Master&rsquo;s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field. 
3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI. 
Proven experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc. 
Solid understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation. 
Proficiency in Python and ML frameworks such as Scikit-Learn, PyTorch, TensorFlow, etc. 
Experience developing and deploying agentic AI workflows and systems 
Experience with vector databases such as Chroma, Pinecone, etc. and cloud platforms such as GCP, AWS, Azure, etc. 
Strong analytical, problem solving and debugging skills.
 
Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$90,160 - $135,240
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</div>

Agentic AI Data Scientist

HERE Technologies

<div>What's the role?:<div></div><ul><li> 
Working with data scientist, architect, and researcher engineers to support the new Multiple Industry organization dynamic content product ML features development and implementation.
</li><li>Data collection, filtering, analysis, and algorithm implementation. .</li><li>Probe and sensor data analysis to improve our overall dynamic product quality.
</li><li>Support the intersection travel time analysis using probe data and ML algorithm development.
</li><li>Origin/Destination Trips modeling.</li><li>Intersection modeling.
</li></ul>Who are you?:
<ul><li>Undergraduate students in CS or CE or other Engineering area.</li><li>Proven ability to quickly prototype in languages like Python, Java/Java Script, Scala, JDBC, Tableau, experience in Amazon Web Services, Glue,IceBerg, ECS/EKS, Athena, Redshift, Sage maker will be a big plus.</li><li>Solid experience in developing new research ideas and implementing prototype systems in timely manner.</li><li>Ability to efficiently write technical reports and communicate results.</li><li>High motivation team player.</li></ul><div></div><div> 
This is a full-time paid internship (20 to 40 hours per week) with a fixed hourly rate of depending on your level of education as follows:</div><div>
Undergraduate Students: $25/hr</div><div>
Graduate Students: $30/hr</div><div>
PhD Students: $35/hr</div><div></div><div> 
Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance and retirement savings plans.</div><div>
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records.</div><div>
HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.</div><div>
Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team.</div><div></div><div> 
#LI-AG3</div> 
<div></div>
Who are we?:
<div>
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes &ndash; from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.</div><div></div><div> 
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people&rsquo;s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.</div></div>

Software Engineer Intern

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 
</li>
<li>4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 
</li>
<li>Experience building agentic workflows (e.g., agent development kit (ADK), context management, and prompt engineering) to transform corporate processes.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

As a Senior Business Data Scientist, you will collaborate with other data scientists, analysts, engineers, and Product Managers (PMs) to create end-to-end AI/ML and Agentic solutions to transform Finance processes and drive AI adoption across the organization. You will demonstrate experience in solving business problems through a product/transformation mindset with AI/ML technical knowledge.
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. 
 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Work cross-functionally with analysts, engineers, and program managers to develop and deploy agentic and AI solutions.</li>
<li>Use a product-driven mindset to transform key Finance processes using Agents and AI. 
</li>
<li>Partner with your product team to solve problem and deliver end-to-end process transformation.</li>
<li>Operationalize and monitor solutions; design and deploy model endpoints that adhere to high-availability Service Level Agreements (SLAs), implementing necessary health checks, retries, and fallback mechanisms.</li>
<li>Communicate results to peers, stakeholders, and leaders.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Business Data Scientist, Agentic AI, Finance

Explore 476+ Principal data scientist in Chicago this March. Find roles across top companies and apply now to boost your career.

476 principal data scientist jobs In Chicago

Principal Data Scientist

Principal Data Scientist

Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights

Senior Data Scientist (P4513)

Agentic AI Data Scientist

Software Engineer Intern

Senior Business Data Scientist, Agentic AI, Finance