machine learning engineer Jobs in Chicago

machine learning engineer

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data engineers

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lead data engineer

big data 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

Thoughtworks

<div><div><div>Lead data engineers at Thoughtworks develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. They might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On projects, they will be leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. Alongside hands-on coding, they are leading the team to implement the solution.
</div>
<h2 class="jobSectionHeader">Job responsibilities</h2>
<div><ul><li>You will lead and manage data engineering projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration.</li>
<li>You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.</li>
<li>You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.</li>
<li>You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems.</li>
<li>You will collaborate with data scientists to design scalable implementations of their models.</li>
<li>You write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.</li>
<li>You will lead and advise clients on how to use different distributed storage and computing technologies from the plethora of options available.</li>
<li>You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.</li>
<li>You will be responsible for data governance, data security and data privacy to support business and compliance requirements.</li>
<li>You will define the strategy for and incorporate data quality into your day-to-day work.</li>
</ul></div><h2 class="jobSectionHeader">Job qualifications</h2>
<div><h3 class="jobSectionHeader">Technical Skills</h3>
<div><ul><li>You have experience in leading the system design and implementation of technical solutions.</li>
<li>Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems.</li>
<li>You have a deep understanding of data modeling and experience with modern data engineering tools and platforms.</li>
<li>You have experience in writing clean, high-quality code using the preferred programming language.</li>
<li>You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.</li>
<li>You have experience with data visualization techniques and can communicate the insights as per the audience.</li>
<li>You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.</li>
<li>You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).</li>
</ul></div><h3 class="jobSectionHeader">Professional Skills</h3>
<div><ul><li>You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.</li>
<li>You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.</li>
<li>You don't shy away from risks or conflicts, instead you take them on and skillfully manage them.</li>
<li>You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.</li>
<li>You enjoy influencing others and always advocate for technical excellence while being open to change when needed.</li>
<li>You are a proven leader with a track record of encouraging teammates in their professional development and relationships.</li>
<li>Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.</li>
</ul></div></div><h2 class="jobSectionHeader">Other things to know</h2>
<div><h3 class="jobSectionHeader">Learning &amp; Development</h3>
<div>
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
</div>
</div><h2 class="jobSectionHeader">About Thoughtworks</h2>
<div>
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we're pushing boundaries through our purposeful and impactful work. For 30+ years, we've delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let's be extraordinary.
</div>
#LI-Remote
</div><div>
See here our AI policy.</div></div>

Lead Data Engineer

<div>Role description 
Senior Data Engineer

Lead I - Data Engineering 


Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.

Visit us at UST.com. 


You Are:

UST is searching for a highly skilled Senior Data Engineer with strong expertise in Python, PySpark, and AWS to design, build, and optimize scalable data pipelines and modern data platforms. The candidate will be responsible for delivering high-performance data solutions supporting analytics and business intelligence use cases in a cloud-native environment. 


The opportunity:
<ul><li> Design, develop, and maintain scalable ETL/ELT pipelines using Python and PySpark for batch and streaming workloads.</li></ul>
<ul><li> Build and manage data lake / lakehouse architectures (Bronze/Silver/Gold layers) to support enterprise analytics.</li></ul>
<ul><li> Optimize Spark jobs for performance, scalability, and cost efficiency using best practices.</li></ul>
<ul><li> Work with AWS services such as S3, Glue, EMR, Lambda, and Step Functions to integrate and orchestrate data workflows.</li></ul>
<ul><li> Implement data quality, validation, and monitoring frameworks to ensure data reliability and integrity.</li></ul>
<ul><li> Collaborate with cross-functional teams (Data, Platform, Application teams) to deliver end-to-end data solutions.</li></ul> 


This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. 
What you need:
<ul><li> Core Experience</li></ul>
<ul><li> 4+ years of experience in Data Engineering / Software Development.</li></ul>
<ul><li> Strong proficiency in Python programming (data structures, OOP, design patterns).</li></ul>
<ul><li> Hands-on experience in PySpark and Spark ecosystem including DataFrames, Spark SQL, and Spark Streaming.</li></ul>
<ul><li> Data Engineering &amp; Processing</li></ul>
<ul><li> Experience in building large-scale ETL/ELT pipelines.</li></ul>
<ul><li> Strong knowledge of data modeling and data lake architecture (Bronze/Silver/Gold).</li></ul>
<ul><li> Expertise with file formats such as Parquet, Avro, JSON.</li></ul>
<ul><li> Knowledge of data quality, validation, and governance practices.</li></ul>
<ul><li> Cloud (AWS) Expertise</li></ul>
<ul><li> Hands-on experience with:</li></ul>
<ul><li> AWS Glue (ETL jobs, Data Catalog, workflows)</li></ul>
<ul><li> Amazon EMR (cluster management, scaling, optimization)</li></ul>
<ul><li> Amazon S3 (data lake design, partitioning, lifecycle)</li></ul>
<ul><li> AWS Lambda (serverless integrations)</li></ul>
<ul><li> Experience with orchestration tools:</li></ul>
<ul><li> AWS Step Functions / Airflow (MWAA)</li></ul>
<ul><li> Monitoring via CloudWatch (logs, metrics, s)</li></ul>
<ul><li> Performance &amp; Optimization</li></ul>
<ul><li> Strong experience in Spark performance tuning and optimization.</li></ul>
<ul><li> Handling large datasets with focus on efficiency and cost optimization.</li></ul>
<ul><li> Development &amp; DevOps</li></ul>
<ul><li> Experience with CI/CD pipelines (CodePipeline, CodeBuild, CodeDeploy).</li></ul>
<ul><li> Familiarity with Infrastructure as Code (Terraform/CloudFormation).</li></ul>
<ul><li> Strong focus on testing and code quality (pytest, unit/integration testing, PEP 8 standards).</li></ul>
<ul><li> Additional Skills</li></ul>
<ul><li> Strong analytical and problem-solving skills.</li></ul>
<ul><li> Excellent communication and stakeholder collaboration abilities.</li></ul>
<ul><li> Ability to work independently and in Agile environments.</li></ul> 


Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Illinois

Compensation Range: $70,000-$105,000 


Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws. 


What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions. 


Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships. 


Equal Employment Opportunity Statement 
UST is an Equal Opportunity Employer. 


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. 


#UST

#CB

#LI-IS1 
Skills 
data engineering,python,spark,sql,aws system,data integration,data pipeline, 
Benefits 
Compensation range: $70,000.00 to $105,000.00 per year 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Senior Data Engineer

Shirley Ryan Ability Lab

<div>Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you&rsquo;ll be part of our life-changing mission and vision. You&rsquo;ll contribute to an innovative, multifaceted culture that is second to none &mdash; one that embraces collaboration, excellence, discovery and compassion. You&rsquo;ll play a role in something that&rsquo;s never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes &mdash; as we Advance Human Ability, together.
Job Description Summary
Job Description
Data Engineers for Chicago, IL location.<ul><li>
Develop secure, stable, scalable long-term plans for the flow of hospital data.</li><li>
Assist in the development of scalable data infrastructure and platforms to collect and process large amounts of data, including structured and unstructured data for analysis by clinical, research, and business resources.</li><li>
Establish methods and procedures for tracking data quality, completeness, redundancy, compliance and improvement.</li><li>
Create strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup and archiving.</li><li>
Help oversee mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.</li><li>
Define standards for naming, describing, governing, managing, modeling, cleaning, enriching, transforming, moving, storing, searching, and delivering data securely.</li><li>
Participate in data and information model design across multiple stakeholders.</li><li>
Technical environment: Implementation of data security standards in line with HIPAA requirements, SQL, SQL server Management Studio, Python, VBA, SSIS, Requirements Analysis, relational databases, Business intelligence, Tableau development, ETL process development, Data management, Data engineering, Data modeling.</li></ul>
Job Requirements<ul><li><ul><li>Masters degree in Information Systems, Computer Science, Data Science or related field plus 2 years of experience in data analytics with large data sets required.</li></ul></li><li>
Required skills: implementation of data security standards in line with HIPAA requirements, SQL, SQL server Management Studio, Python, VBA, SSIS, Requirements Analysis, relational databases, Business intelligence, Tableau development, ETL process development, Data management, Data engineering, Data modeling.</li><li>
Some telecommuting permitted.</li><li>
(*Bachelor&rsquo;s degree in Information Systems, Computer Science, Data Science or related field plus 5 years of progressive experience in data analytics with large data sets also acceptable).</li></ul>
Salary: $104, 250 &ndash; 124,500/yr.
Benefits: See https://www.sralab.org/benefits
Equal Employment Opportunity Employer 
Shirley Ryan AbilityLab is an Equal Employment Opportunity Employer. All applicants will be afforded equal employment opportunity without discrimination because of race, color, religion, sex, marital status, national origin or ancestry, citizenship status, age, disability, sexual orientation, gender identity, genetic information, military status, order of protection status, unfavorable discharge from military service, or any other characteristics protected by law. 
EEO is the Law | EEO is the Law - Know Your Rights | View our Full Policy 
Shirley Ryan AbilityLab is an Affirmative Action Employer as required by law.</div>

Data Engineers

Mark Anthony Services Inc.

<div>Mark Anthony Group is an entrepreneurial drinks company, built from the ground up by thinking differently, innovating and doing the unexpected. Our company is rooted in family values, a bold vision and relentless determination to continuously raise the bar and make a positive difference in consumers' lives. Founded in 1972, we&rsquo;ve grown organically from a one-person import wine business into an international drinks company whose hallmarks include a portfolio of luxury wineries and iconic beverage brands, including White Claw&reg; Hard Seltzer, Mike&rsquo;s Hard Lemonade, and Cayman Jack.

This role will work directly with the Finance Manager to assist in capturing and analyzing financial data. The analyst will assist in the budget &amp; forecasting process, provide business analysis, and report on Mark Anthony Brewing&rsquo;s financial results. This role will help support the development of financial reporting and is encouraged to proactively improve business processes.

Accountabilities:
<ul>
<li>Identify and provide analysis on the drivers of Supply Chain financial variances</li>
<li>Prepare journal entries and ensure financial impacts to the business are accurately accounted for.</li>
<li>Partner with Supply Chain business partners to understand and forecast operational expenses.</li>
<li>Prepare and maintain financial models</li>
<li>Provide ad hoc analysis and reporting</li>
</ul>
Key Metrics &amp; Financial Targets:
<ul>
<li>Direct COGs $ per case equivalent</li>
<li>Production and Sales Volume &amp; Mix Impact</li>
<li>Operational expenses for Chicago G&amp;A cost centers</li>
<li>Supply Chain scorecard &amp; operational targets (Quality, Safety, Material Usage, People)</li>
</ul>
Own:
<ul>
<li>Analysis on drivers of Supply Chain financial variances, month-end close responsibilities, operational expenses for brewing business partners.</li>
</ul>
Influence:
<ul>
<li>Refine and enhance existing reports to improve business processes.</li>
</ul>
Critical Relationships:
<ul>
<li>Supply Chain Finance Team</li>
<li>MAB G&amp;A business partners</li>
</ul>
Skills Needed To Be Successful:
<ul>
<li>Bachelor&rsquo;s Degree</li>
<li>0-3 years of proven experience in finance and accounting</li>
<li>Strong proficiency using ERP systems and Microsoft Excel</li>
<li>Strong analytical, problem-solving skills &amp; attention to detail</li>
<li>Comfortable handling large amounts of data and detail, and having the ability to see the big picture</li>
</ul>
Compensation:

Compensation offered to prospective Team Members has taken internal equity into consideration and can vary depending on a positions&rsquo; location. The final agreed upon wage may vary based on the job-related knowledge, skills, and experience of the individual.
<ul>
<li>Competitive annual salary from $73,000 to $87,000 based in Chicago, IL</li>
<li>Bonus plan designed to recognize company performance and individual contributions</li>
<li>Comprehensive health and welfare benefits</li>
<li>Company matching 401(k) contributions</li>
<li>Paid time off including annual leave, paid sick time and holidays</li>
<li>Extensive opportunities for training, development, and career growth</li>
</ul>
At Mark Anthony, we exist to Unearth the Extraordinary:

Our Purpose is not just a statement; it is a call to action that binds us together and ignites our passion for making a difference. It is the driving force behind why we do what we do every single day, connecting our global organization across all business units, roles, and locations. We are:

Best in Our Craft 
We set the standard with a pursuit of excellence that can be found in everything from our products and processes to our plants and people.
Ambitiously Curious 
We stay curious, dreaming big and navigating the unknown with an enduring belief in better.
Made With Humility 
We bring humility, authenticity, fun, and support to every collaboration and celebrate wins as a team.

Daringly Disruptive 
We disrupt the status quo, moving fast to seize opportunities and acting scrappy to stay ahead of industry giants. 
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

Analyst, FP&A

<div>Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling
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 Data Solutions and Model team builds the machine learning and AI agents that help our customers in the Global Payment Network. We create models and AI tools to support fraud/risk, merchant acceptance, merchant intelligence and monitoring. 
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>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><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></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 &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in &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>
Experience with Large Language Models (LLMs), including utilizing embedding models and working with vector databases</li><li>
Experience designing and implementing AI workflows and autonomous AI agents</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.
Anytown, IL: $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.
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Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling

Comcast

<div>FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we&rsquo;re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world. 
Job Summary
In this role you will provide meaningful/substantial contributions to the design, development, and delivery of scalable software solutions. Although primarily an individual contributor (IC) from a work product perspective, your years of experience have shaped you into a skilled collaborator. You are comfortable working with a broad spectrum of stakeholders, including product development, project management, compliance, architecture, SRE, QA and end-users. Additionally, you understand foundational principles of success which underpin engineering execution in a Cloud environment.
Job Description
Responsibilities:<ul><li>
Partner with Product Management and Engineering leadership to gather requirements for components, applications, services, platforms and other technical solutions.</li><li>
Possess hands-on experience with one or more major cloud platforms (AWS, OCI, Azure, or GCP); with a good understanding of automation, CI/CD pipelines, infrastructure as code, and cloud-native tools.</li><li>
Practical experience with a range of programming (Python, Java, JavaScript, Go, etc.), build (GitHub, Bitbucket, Maven, etc.), containerization (Docker, Kubernetes, Podman, etc.), database (PostgreSQL, MySQL, SQLite, etc.), and collaboration tools (JIRA, Confluence, Trello).</li><li>
Build and scale measurement infrastructure for outcome-based optimization, starting with lower-funnel use cases and expanding over time.</li><li>
Apply and improve attribution and performance models to quantify campaign outcomes and support reporting, planning, and optimization.</li><li>
Create solutions which bring measurement metrics into buying and selling workflows through robust APIs, reporting, and user interfaces.</li><li>
Support product capabilities such as universal pixel, conversion APIs, clean-room data, real-time and batch processing, and self-service measurement tools.</li><li>
Create automated unit and integration tests, validating adherence to requirements and preventing escaped defects</li><li>
Develop an understanding of the larger (Freewheel) Engineering ecosystem, contributing to &ldquo;buy vs. build vs. broker&rdquo; discussions.</li><li>
Ensure that delivered software solutions are scalable, available, and maintainable.</li><li>
Consistent exercise of independent judgment and discretion in matters of significance.</li><li>
Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.</li><li>
Other duties and responsibilities as assigned.</li></ul>
Preferred skills:<ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or a related field, or equivalent practical experience.</li><li>
3+ years of hands-on programming experience in languages such as Golang, Python, Node.js, Rust, or Scala.</li><li>
Demonstrated experience with microservices and container orchestration platforms such as Kubernetes or EKS (AWS or OCI).</li><li>
Practical skill operating with at least one major cloud provider (e.g., AWS, Azure, GCP, or OCI), including exposure to services like S3, EC2, Lambda, IAM, or their equivalents.</li><li>
Working knowledge of CI/CD concepts and tools, such as Jenkins, GitHub Actions, or Terraform.</li><li>
Solid SQL skills, with exposure to data platforms like Aerospike, Snowflake, Databricks, Spark, Presto, or EMR.</li><li>
Exposure to monitoring and observability tools such as Datadog, Prometheus, or ELK stack.</li><li>
Demonstrated ability to debug and resolve technical issues within scoped features or components.</li><li>
Strong collaboration and communication skills, with the ability to work effectively within a cross-functional team.</li><li>
Ability to adapt and contribute in a fast-paced, agile development environment.</li><li>
Interest or experience in the advertising or audience targeting domain is a plus, but not required.</li></ul>
Employees at all levels are expected to:<ul><li>
Understand our Operating Principles; make them the guidelines for how you do your job.</li><li>
Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.</li><li>
Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.</li><li>
Win as a team make big things happen by working together and being open to new ideas.</li><li>
Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.</li><li>
Drive results and growth.</li><li>
Support a culture of inclusion in how you work and lead.</li><li>
Do what's right for each other, our customers, investors and our communities.</li></ul> 
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. 
Skills:
Collaboration; Software Releases; Software Applications 
Salary:
Primary Location Pay Range: $109,759.26 - $164,638.89
Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. 
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That&rsquo;s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. 
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
5-7 Years</div>

Python or GoLang Software Engineer - 2 days onsite (Chicago, IL) - FreeWheel

Explore 100+ Big data engineer in Chicago this July. Find roles across top companies and apply now to boost your career.