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data scientist, operations engineering Jobs in Chicago

data scientist, operations engineering

data scientist

Motorola Solutions

<div><h2 class="jobSectionHeader"><b>Company Overview</b></h2><p>
At Motorola Solutions, we believe that everything starts with our people. We&rsquo;re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that&rsquo;s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.<br>
</p><h2 class="jobSectionHeader"><br>
<b>Department Overview</b></h2>
Motorola Solutions<h2 class="jobSectionHeader"><br>
<b>
Job Description</b></h2><ul><li>
Develop AI text processing algorithms that enable free text and voicebased interactions between humans and large computer systems.
</li><li>Build AI algorithms that take unstructured data and convert them to structured data that enable humans to search over big amounts of data.
</li><li>Architect a voice-based chat system that allows individuals to perform location search, person search and other day-to-day activities.
</li><li>Design new ways to create parsers, that can be used for any general search-based applications.
</li><li>Analysis of human-computer interaction patterns to optimize language-based interfaces.
</li><li>Telecommuting permitted from anywhere within the U.S.
</li></ul><p></p><p>Target Base Salary Range: $142,210 - $147,000 USD</p><p><br>
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.</p><h2 class="jobSectionHeader"><b><br>
Basic Requirements</b></h2><ul><li>
Masters Degree + 2 years experience or</li><li>
Bachelors Degree + 5 years experience.</li></ul><h2 class="jobSectionHeader"><br>
<b>
Travel Requirements</b></h2>
None<h2 class="jobSectionHeader"><br>
<b>
Relocation Provided</b></h2>
None<h2 class="jobSectionHeader"><br>
<b>
Position Type</b></h2>
Experienced<h2 class="jobSectionHeader"><br>
<b>
Referral Payment Plan</b></h2>
No<p></p><p><b>
Our </b><b>U.S. Benefits include:</b></p><ul><li>
Incentive Bonus Plans</li><li>
Medical, Dental, Vision benefits</li><li>
401K</li><li>
10 Paid Holidays</li><li>
Generous Paid Time Off Packages</li><li>
Employee Stock Purchase Plan</li><li>
Paid Parental &amp; Family Leave</li><li>
and more!</li></ul><p><b><i><br>
EEO Statement</i></b></p><p></p><p>
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.</p><p></p><p>
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you&rsquo;d like to join our team but feel that you don&rsquo;t quite meet all of the preferred skills, we&rsquo;d still love to hear why you think you&rsquo;d be a great addition to our team.</p><p></p><p>
We&rsquo;re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.</p></div><p></p>

Data Scientist

Invenergy

<div><div>Invenergy drives innovation in energy. Powered by decades of entrepreneurial experience and unparalleled execution, we solve the energy challenges facing our customers and communities. We provide power generation and storage solutions at scale around the world to create a cleaner energy future. We develop. We build. We own. We operate. We are Invenergy.</div><div></div><div>
This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.</div><div></div><div><div><div><div><div><div><div><div>
Job Description</div></div></div></div></div></div></div></div><div></div><div><div>
Position Overview</div><div>
The Data Scientist, Operations Engineering plays a critical role in delivering operational intelligence across a large fleet of solar and battery storage projects. This role leverages advanced statistical methods and modeling techniques to analyze large-scale datasets, uncover performance trends, and generate actionable insights that enhance project efficiency and reliability.</div><div></div><div>
Core Responsibilities</div></div><div><ul><li><div>
Analyze large-scale operational data from solar and battery storage assets to identify trends, anomalies, and opportunities for performance improvement.</div></li></ul></div><div><ul><li><div>
Develop and deploy predictive models to support proactive maintenance, fault detection, and system optimization.</div></li></ul></div><div><ul><li><div>
Collaborate with cross-functional teams including performance engineering, asset management, and data analysts to translate insights into impactful solutions.</div></li></ul></div><div><ul><li><div>
Design and implement dashboards and visualizations to communicate findings to technical and non-technical stakeholders.</div></li></ul></div><div><ul><li><div>
Continuously improve analytical methodologies and tools to enhance data-driven decision-making.</div></li></ul><div></div><div><div><div>
Required Skills</div></div><div><ul><li><div>
Bachelor&rsquo;s degree in Data Science or related discipline, or 2+ years of work experience in Data Science position</div></li></ul></div><div><ul><li><div>
Proficiency in Python and SQL</div></li></ul></div><div><ul><li><div>
Experience finding insight from structured and unstructured data sets</div></li></ul></div></div><div><div><ul><li><div>
Excellent understanding of machine learning and AI techniques and algorithms</div></li></ul></div><div><ul><li><div>
Experience deploying large scale models to production including monitoring capabilities and methods for continuous improvement</div></li></ul></div><div><ul><li><div>
Strong communication and visualization skills</div></li><li>
Eligible to work in the United States without the need for employer visa sponsorship now or in the future.</li></ul></div><div><div>
Preferred Skills</div></div><div><ul><li><div>
Experience working with time series data within the PI software suite</div></li></ul></div><div><ul><li><div>
Familiarity with data science cloud platforms including Azure ML or Databricks</div></li></ul></div><div><ul><li><div>
Proficiency with BI visualization tools, such as Power BI</div></li></ul></div><div><ul><li><div>
Familiarity with cloud-based data storage</div></li></ul></div><div><ul><li><div>
Experience working in CI/CD workflows</div></li></ul></div><div><ul><li><div>
Familiar with solar or storage energy industry</div></li></ul></div></div></div><div></div><div><div><div><div><div><div><div><div>
Base Pay</div></div></div></div></div></div></div></div><div></div><div><div>
$80,000 &ndash; $100,000 USD Annual<br>
Bonus: 0% - 15%</div></div><div></div><div>
The base pay range reflects the minimum and maximum target salary for the position. Invenergy considers a number of factors when determining base pay offers such as the scope and responsibilities of the position and the candidate's experience, education and skills.<br>
<br>
In addition to base pay, the total annual compensation package may also include eligibility to participate in our bonus program(s) which are designed to reward individual and company performance. Your recruiter can share more about bonus eligibility for this position during the hiring process.<br>
<br>
Invenergy offers a variety of other benefits including medical, dental and vision insurance, 401k, profit sharing, paid time off, etc.</div><div></div><div>
Invenergy LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.</div></div>

Data Scientist, Operations Engineering

United Airlines

<div>Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.<br>
<br>
Come join us to create what&rsquo;s next. Let&rsquo;s define tomorrow, together.<br>
<h2 class="jobSectionHeader"><b>
Description</b></h2><p><b>
Job overview and responsibilities</b></p><p><br>
Develops and programs integrated software algorithms to structure, analyze and leverage data in systems applications. Develops and communicates statistical modeling techniques to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Can work with large scale computing frameworks, data analysis systems and modeling environments.</p><ul><li>
Design and implement key components of the Machine Learning Platform infrastructure and establish processes and best practices</li><li>
Work cross-functionally with data scientists, data engineers, and IT teams to design, develop, deploy, and integrate high-performance, production-grade machine learning solutions and data intensive workflows</li><li>
Partner with data scientists and data engineers to create and refine features from underlying data and build reproducible feature pipelines to train models and serve features in production</li><li>
Partner with data platform and operations teams to solve complex data ingestion, pipeline and governance problems for machine learning solutions</li><li>
Take ownership of production systems with a focus on delivery, continuous integration, and automation of machine learning workloads</li><li>
Provide technical mentorship, guidance, and quality-focused code review to data scientists and ML engineers</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><p><b>
What&rsquo;s needed to succeed (Minimum Qualifications):</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or a related technical discipline</li><li>
4-8 years of experience in managing technical teams and projects</li><li>
4+ years of experience in full software lifecycle development using Python</li><li>
4+ years of experience leading an ML Ops team familiar with large cloud environments, Big Data technologies</li><li>
4+ years in software development in Python, Java, PySpark</li><li>
4+ Years of Experience with Machine Learning and Machine Learning workflows</li><li>
3+ years of experience desiging an developing using tecnologies as Docker, Kubernetes</li><li>
Strong software engineering experience with Python and at least one additional language such as Java, Go, Rust, or C/C++</li><li>
Understanding of machine learning principles and techniques</li><li>
Experience with data science tools and frameworks (e.g. PyTorch, Tensorflow, Keras, Pandas, Numpy, Spark)</li><li>
Experience designing and developing scalable cloud native solutions using technologies such as Docker and Kubernetes and serverless services such as AWS Lambda, EKS, ECS, Fargate</li><li>
Experience building infrastructure-as-code templates (e.g. AWS CloudFormation) and cloud-native CI/CD pipelines using tools such as AWS CodePipeline</li><li>
Experience building ETL pipelines and working with big data technologies (e.g. Hadoop, Spark, and serverless technologies such as EMR, Redshift, S3, AWS Glue, and Kinesis)</li><li>
Knowledge of distributed systems as it pertains to compute and data storage</li><li>
Strong desire to experiment with and learn new technologies and stay aligned with the latest community developments in ML Ops/Engineering and cloud native</li><li>
Excellent oral and written communication skills. Ability to prepare high-quality presentation materials and explain complex concepts and technical materials to less-technical audiences</li><li>
Must be legally authorized to work in the United States for any employer without sponsorship</li><li>
Successful completion of interview required to meet job qualification</li><li>
Reliable, punctual attendance is an essential function of the position</li></ul><p></p><p><b><br>
What will help you propel from the pack (Preferred Qualifications):</b></p><br>
<ul><li>
AWS Certified Solution Architect (Associate or Professional)</li><li>
Experience working as a Machine Learning Engineer or Data Scientist building and productional machine learning solutions</li><li>
Experience building real-time event-driven stream processing solutions with technologies such as Kafka, Flink, and Spark</li><li>
Experience with GPU acceleration (e.g. CUDA and CuDNN)</li><li>
Experience with Kubernetes</li></ul><br>
The base pay range for this role is $114,665.00 to $149,376.00.<br>
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.<br>
<br>
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident &amp; disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.<br>
<br>
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.<br>
<br>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.</div>

Machine Learning Engineering Manager

Sprout Social

<div><p>Sprout Social is looking for a Data Engineer to join our Data Foundations team. This team builds the internal data infrastructure, pipelines, and products that empower analytics, data science, and business stakeholders across Sprout. While our software engineers are focused on delivering customer-facing platform features, our data engineers specialize in ensuring data is reliable, well-modeled, and accessible to fuel smarter decisions and internal innovation.</p>
<h2 class="jobSectionHeader"><b>
Why join Sprout Social's Data Engineering team?</b></h2>
<p>
Sprout Social empowers businesses worldwide to harness the immense potential of social media in today's digital-first world. Processing over one billion social messages daily, our platform delivers insights and actionable intelligence to more than 30,000 brands. These insights guide strategic decisions, drive growth, and foster deeper connections with customers.</p>
<p>
Our Data Foundations team plays a critical role in this by enabling Sprout's internal stakeholders&mdash;analytics, product, finance, sales, and beyond&mdash;to work with trustworthy, scalable, and reusable data. You'll be helping build the pipelines, curated datasets, and data products that unlock value across the business and extend Sprout's data-driven culture.</p>
<h2 class="jobSectionHeader"><b>
What you'll do</b></h2>
<ul><li>Design and maintain ETL/ELT pipelines and data workflows that enable reliable, timely, and scalable data flows.</li>
<li>Collaborate with analysts, scientists, and business stakeholders to deliver curated datasets and internal data products.</li>
<li>Implement best practices in schema design, data modeling, and metadata management.</li>
<li>Own and evolve internal data infrastructure for quality, monitoring, and discoverability.</li>
<li>Partner with software engineering teams where application data intersects with internal pipelines&mdash;ensuring business-critical data is clean, structured, and usable.</li>
</ul><h2 class="jobSectionHeader"><b>What you'll bring</b></h2>
<p>
We're looking for a data engineer with a strong foundation in data infrastructure and a passion for enabling others to succeed through high-quality data.</p>
<p>
The minimum qualifications for this role include:</p>
<ul>
<li>2+ years of professional experience in data engineering or at least 2 years of hands on experience building, deploying and maintaining production-grade data infrastructure and pipelines</li>
<li>Demonstrated proficiency in SQL (e.g. MySQL, PostgreSQL) and data modeling; with experience in a variety of business domains. Proficiency in Python.</li>
<li>Experience working in relational and non-relational databases</li>
<li>Hands on experience with ELT + transformation frameworks (e.g., dbt) and with orchestrators (e.g., Airflow, dbt. dagster).</li>
<li>Experience building internal data products (curated datasets, semantic layers, or reusable modeling frameworks).</li>
<li>Proven experience applying standard software development practice to data engineering, including testing, version control, code reviews, incident management, incident CI/CD, documentation, and observability for data.</li>
</ul>
<p>Preferred qualifications for this role include:</p>
<ul>
<li>Experience building and maintaining data infrastructure using transformations with dbt or similar tools(and managing semantic layers for Business intelligence (BI) dashboards (e.g. Tableau, Hex, Looker).</li>
<li>Experience implementing data quality frameworks, testing methodologies, and monitoring practices to ensure data integrity.</li>
<li>Hands-on experience with event-driven or streaming frameworks (Kafka or NSQ, Kinesis, Pub/Sub).</li>
<li>Proven ability to collaborate withcross-functional teams and effectively communicate complex technical concepts to non-technical stakeholders.</li>
<li>Direct experience with cloud infrastructure (AWS, GCP, or Azure) and implementing cost optimization strategies for data platforms.</li>
</ul><h2 class="jobSectionHeader"><b>How you'll grow</b></h2>
<p>
Within 1 month, you'll plant your roots, including:</p>
<ul>
<li>Complete Sprout's New Hire onboarding program and meet peers across Data Foundations, Data Science, Engineering.</li>
<li>Learn the team's existing data stack, pipelines, and modeling frameworks.</li>
<li>Shadow teammates to understand how internal stakeholders use curated datasets today.</li>
<li>Partner with your manager to scope your first pipeline or modeling task to own.</li>
</ul>
<p>Within 3 months, you'll start hitting your stride by:</p>
<ul>
<li>Delivering your first production-ready pipeline, dataset, or internal data product.</li>
<li>Collaborating with analysts and data scientists on requirements for reusable modeling layers.</li>
<li>Gaining deeper familiarity with Sprout's data warehouse(s) and orchestration environment&mdash;and starting to suggest improvements.</li>
</ul>
<p>Within 12 months, you'll make this role your own by:</p>
<ul>
<li>Taking technical ownership of a set of pipelines or data products relied on by stakeholders across the business.</li>
<li>Proposing and implementing improvements to our pipelines for scalability, reliability, or cost efficiency.</li>
<li>Acting as a mentor to newer members of the Data Foundations team while continuing to grow your own expertise.</li>
<li>Helping shape the team's roadmap and long-term data foundations strategy.</li>
</ul>
<p>Of course what is outlined above is the ideal timeline, but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager.</p>
<p><b>
Our Benefits Program</b></p>
<p>
We're proud to regularly be recognized for our team, product and culture. Our benefits program includes:</p>
<ul>
<li><p>Insurance and benefit options that are built for both individuals and families</p>
</li>
<li><p>Progressive policies to support work/life balance, like our flexible paid time off and parental leave program</p>
</li>
<li><p>High-quality and well-maintained equipment&mdash;your computer will never prevent you from doing your best</p>
</li>
<li><p>Wellness initiatives to ensure both health and mental well-being of our team</p>
</li>
<li><p>Ongoing education and development opportunities via our Grow@Sprout program and employee-led diversity, equity and inclusion initiatives.</p>
</li>
<li><p>Growing corporate social responsibility program that is driven by the involvement and passion of our team members</p>
</li>
<li><p>Beautiful, convenient and state-of-the-art offices in Chicago's Loop and downtown Seattle, for those who prefer an office setting</p>
</li>
</ul><p><i>Whenever possible, Sprout wants to provide our team with the flexibility to work in the location that makes the most sense for them. Sprout maintains a remote workforce in many places in the United States. However, we are not set up in all states, so please look at the drop-down box in our application to see whether your state is listed. Few roles require an office setting. If your position requires a physical presence in a Sprout office, it will be evident in the job listing and your offer letter.</i></p><br>
<p>
Individual base pay is based on various factors, including work location, relevant experience and skills, the responsibility of the role, and job duties/requirements. In the United States, we have two geographic pay zones. You can confirm the pay zone for your specific location with your recruiter during your interview process. For this role, our current base pay ranges for new hires in each zone are:</p>
Zone 1 (New York, California, Washington): $133,056 (min), $166,320 (mid), $199,584 (max) USD annually<br>
<ul><li><ul><li>
</li>
<li>Zone 2 (All other US states): $121,000 (min), $151,200 (mid), $181,400 (max) USD annually</li>
</ul>
</li></ul><p>The listed ranges represent the full earning potential in this position. Starting salaries for well-qualified new hires are typically around the midpoint of the range. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed.</p><br>
<p></p>
<p>
Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout's equity plan. Employees (and their dependents) are covered by medical, dental, vision, basic life, accidental death, and dismemberment insurance, and Modern Health (a wellness benefit). Employees are able to enroll in Sprout's company's 401k plan, in which Sprout will match 50% of your contributions up to 6% with a maximum contribution. Sprout offers &quot;Flexible Paid Time Off&quot; and ten paid holidays. We have outlined the various components to an employee's full compensation package here to help you to understand our total rewards package.</p>
<p>
Sprout Social is proud to be an Equal Opportunity Employer and an Affirmative Action Employer. We do not discriminate based on identity<b>-</b> race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, unfavorable discharge from military service, genetic information, sexual orientation, marital status, order of protection status, citizenship status, arrest record or expunged or sealed convictions, or any other legally recognized protected basis under federal, state, or local law. Learn more about our commitment to diversity, equity and inclusion in our latest DEI Report.</p>
<p>
If you require a reasonable accommodation for any part of the interview process or to submit your application, please email us at accommodations@sproutsocial.com. Include the nature of your request and your preferred contact information. We'll do everything we can to support your success during our recruitment process while upholding your privacy. Please note that only inquiries regarding accommodations will receive a response from this email address; other inquiries will not be addressed (e.g., you send your resume but are not requesting an accommodation).</p>
<p>
For more information about our commitment to equal employment opportunity, please click here (1) Equal Opportunity Employment Poster (2) Sprout Social's Affirmative Action Statement (3) Pay Transparency Statement.</p>
<p>
Additionally, Sprout Social participates in the E-Verify program in certain locations, as required by law.</p>
<p>
#LI-REMOTE</p><div><p>
Sprout Social Inc. and its subsidiaries process personal data submitted through your application to assess your qualifications for employment and to inform our hiring decision and, where applicable, for required governmental reporting. For more information, please review Sprout's Global Applicant Privacy Notice.</p></div></div><div></div>

Data Engineer

Epsilon

<div><b>Overview</b><br>
<b>How You'll Make an Impact
</b><br>
Epsilon is seeking a PhD Data Science Intern to join our Decision Sciences Team. As a Data Science Intern, you will apply your academic research and machine learning skills to propose effective solutions for our technology and business challenges. Your research background will determine your placement in one of our six Decision Sciences teams, each enhancing various aspects of our personalization platform. Epsilon's personalization relies on analyzing vast amounts of anonymized data online to assess a trillion advertising opportunities monthly in real-time .
<br>
<br>
<b>Epsilon's PhD Internship Program
</b><br>
As an intern, you'll participate in a formal 12-week summer program developed to provide you with a comprehensive grasp of digital marketing and Epsilon's personalization platform. During your internship, you'll undertake a research project addressing a specific technology or business challenge, allowing you to apply your machine learning expertise practically. Lastly, you'll re ceive mentorship and feedback to help you successfully p resent your findings and approach to the entire Decision Sciences department .
<br>
<br>
<b>What You'll Achieve
</b><br>
<ul><li><b>Impact: </b>Develop innovative solutions, with a high degree of autonomy, contributing to work that has the possibility of future integration into production systems.
</li><li><b>Career Growth: </b>Apply your field of study to solve real problems with an opportunity to directly impact our business, gaining hands-on experience with internet-scale data and industry-level applications.
</li></ul><br>
<b>Who You Are
</b><br>
<ul><li><b>What you'll bring with you:
</b><ul><li>Currently enrolled in a PhD program with relevant coursework, research, and background in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field
</li><li>Hands-on involvement with research projects involving formulating hypotheses, exploring data, and developing models for insights
</li><li>Established track record in developing and validating machine learning models, with a strong understanding of model performance evaluation and optimization
</li><li>Proficiency in one or more programming languages such as Python, Scala, SQL, or R
</li></ul></li><li><b>Why you might stand out from other talent </b>:
<ul><li>Experience working with big data technologies such as Hadoop, Spark, Cassandra, or MPP databases
</li><li>Proven capacity to communicate complex data science concepts, methodologies, and findings to diverse audiences
</li><li>Ability to conduct independent research to identify and recommend the best approaches for solving complex technology and business problems
</li></ul></li></ul><br>
Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.
<br>
<br>
Base Salary: $55.00 - $60.00/hour<br>
<br>
Actual compensation within the range will be dependent upon, but not limited to the individual's skills, experience, qualifications, location and application employment laws. The salary pay range is subject to change and may be modified at any time.<br>
<br>
The application deadline for this job posting is 11/16/2025 .<br>
<br>
<b>Additional Information</b><br>
<b>When You Join Us, We'll Create Something EPIC Together</b><br>
Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.<br>
<br>
Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.<br>
<br>
Epsilon has a core set of 5 values that define our culture and guide us to create value for our clients, our people and consumers. We are seeking candidates that align with our company values, demonstrate them and make them meaningful in their day-to-day work:
<br>
<ul><li><b>Act with integrity.</b> We are transparent and have the courage to do the right thing.</li><li><b>
Work together to win together.</b> We believe collaboration is the catalyst that unlocks our full potential.</li><li><b>
Innovate with purpose.</b> We shape the market with big ideas that drive big outcomes.</li><li><b>
Respect all voices. </b>We embrace differences and foster a culture of connection and belonging.</li><li><b>
Empower with accountability.</b> We trust each other to own and deliver on common goals.</li></ul><br>
<b>
Because You Matter</b><br>
As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following:
<br>
<ul><li><b>Time to Recharge: </b>Flexible time off (FTO), 15 paid holidays</li><li><b>
Time to Recover: </b>Paid sick time
</li><li><b>Family Well-Being:</b> Parental/new child leave, childcare &amp; elder care assistance, adoption assistance
</li><li><b>Extra Perks:</b> Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling</li></ul><br>
Epsilon benefits are subject to eligibility requirements and other terms.
<br>
<br>
<b>Epsilon is an Equal Opportunity Employer.</b> Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.<br>
<br>
<b>For San Francisco Bay and Los Angeles Areas:</b> Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.<br>
<br>
#LI-VR1</div>

Intern Program - PhD Data Science Intern

<div><p><b>Description</b>
</p><p>At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It&rsquo;s why we&rsquo;re coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we&rsquo;re headed. We&rsquo;re proud to share our story and Make Amazing Happen at CDW.</p><p><b>
Job Summary</b></p><p>
The Senior Data Analyst ensures the integrity, consistency and scalability of CDW&rsquo;s Product and Partner reporting and provides insightful analysis to support management&rsquo;s decision making. This role designs and develops reporting, analyses business processes and systems, and aligns projects with the executive strategy to drive performance among coworkers, suppliers and partners.</p><p><b>
What you&rsquo;ll do</b></p><ul><li>
Produce sound analysis in support of management and partner decision makers to drive tactical and strategic investments and objectives.</li></ul><p><b>
What we expect of you</b></p><ul><li>
Bachelor&rsquo;s degree in quantitative discipline (business, statistics, economics, engineering, informatics, or an IT related field) and 5 years of work experience in an analytical role with proven experience in delivery of data driven insights OR</li><li>
9 years of work experience in an analytical role with proven experience in delivery of data driven insights.</li><li>
Demonstrated ability to critically evaluate information, identify risks and opportunities, while possessing</li><li>
creative problem-solving skills with an understanding of business concepts and models.</li><li>
Provide analysis to management/partner decision makers in support of promotions to drive offer investments and customer-facing objectives.</li></ul><p></p><p>
Pay range: $90,000 - $134,600 depending on experience and skill set
</p><p>Annual bonus target of 5% subject to terms and conditions of plan
</p><p>Benefits overview: https://cdw.benefit-info.com/
</p><p>Salary ranges may be subject to geographic differentials</p><p></p><p><b>
We make technology work so people can do great things.</b></p><p>
CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&amp;P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive.</p><p>
CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.</p></div>

Sr. Data Analyst

NORC at the University of Chicago

<div><div><div><div><div><b>JOB SUMMARY:</b></div>
<div>
<div><p>NORC at the University of Chicago is a research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. The IT Department at NORC seeks a <b>Mid-Level AI Engineer</b> who can help us build AI-powered tools (LLMs, chat interfaces, knowledge bases, AI assistants) to improve staff productivity and enable business workflows. This role involves working closely with data scientists, domain experts, and product / business teams to understand requirements, design solutions, and deliver production-ready AI components. As we scale, this person will help define best practices and mentor more junior staff.</p>
<p>
This position is based in our Chicago Loop office with a hybrid arrangement (i.e., part remote, part in-office).</p></div><br>
</div>
</div><br>
<div><div><b>DEPARTMENT: Information Technology - Administrative Systems and Support</b></div>
<div>
<div><p>NORC's Information Technology program provides technology services to our staff and clients. Given the critical role technology plays in our day-to-day lives, we are committed to providing professional, high-quality solutions in order to further our collective goal of advancing social science research.<br>
</p></div></div></div><br>
<div><div><b>RESPONSIBILITIES:</b></div>
<div><ul><li>Collaborate with domain experts and staff stakeholders to define, scope, and refine AI use-cases (chat assistants, knowledge bases, process bots, etc.).</li>
<li>Build, fine-tune, or integrate with large language models / NLP pipelines; develop retrieval augmented systems, vector DBs, embeddings, etc.</li>
<li>Develop the software interfaces / front-end / back-end integration required for chat interfaces, AI assistants, knowledge base search/QA systems.</li>
<li>Ensure models are evaluated and monitored (accuracy, drift, fairness, performance), with feedback loops to improve.</li>
<li>Maintain documentation, write tests, deploy and maintain AI systems; handle error/edge cases, logging, and reliability.</li>
<li>Participate in design / architecture discussions: decisions about prompt engineering, LLM usage vs fine-tuning, guardrails, cost trade-offs.</li>
<li>Mentor junior developers (Level 1) and help disseminate best practices in prompt / safety / deployment.</li>
</ul>
</div></div><br>
<div><div><b>REQUIRED SKILLS:</b></div>
<div><ul><li>Bachelor degree in Data Science, Machine Learning, Computer Science, or equivalent experience in related field. Masters Degree preferred</li>
<li>7+ years of technical related experience</li>
<li>Experience building AI/ML/NLP/LLM systems, preferably with exposure to production deployment</li>
<li>Proficiency in Python (and/or other relevant languages); experience with ML/AI frameworks (e.g. PyTorch, TensorFlow, HuggingFace)</li>
<li>Experience with LLM integrations, prompt engineering, vector search / retrieval augmented generation</li>
<li>Familiarity with cloud environments / deployment (AWS, Azure, GCP or equivalent), API design, software engineering best practices</li>
<li>Good communication skills: able to translate domain / business requirements into technical solutions; work with other teams</li>
<li>Awareness or experience with AI safety / bias / ethics / privacy etc.</li>
</ul>
<p><b>Preferred</b></p>
<ul>
<li>Technical or research publications relevant to LLM / NLP / AI assistants (if applicable).</li>
<li>Experience with agent-based AI or multi-agent systems.</li>
<li>Prior work in knowledge bases or building AI assistants / chatbots in business contexts.</li>
<li>Previous NORC experience valued.</li>
</ul>
<p><i>Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.</i></p></div><br>
</div><br>
<div><div><b>SALARY AND BENEFITS:</b></div>
<div>
<div><p>The pay range for this position is $131,000 to $203,000.</p>
<p>
Hybrid work model in the heart of Chicago.</p>
</div>
<div><p>This position is classified as regular. Regular staff are eligible for NORC&rsquo;s comprehensive benefits program. Benefits include, but are not limited to:</p>
</div>
<div><div><ul><li><p>Generously subsidized health insurance, effective on the first day of employment</p>
</li>
<li><p>Dental and vision insurance</p>
</li>
<li><p>A defined contribution retirement program, along with a separate voluntary 403(b) retirement program</p>
</li>
<li><p>Group life insurance, long-term and short-term disability insurance</p>
</li>
<li><p>Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP).</p>
</li>
</ul> </div></div><div><p><i>NORC&rsquo;s Approach to Equity and Transparency</i></p>
</div>
<div><p><i>Pay and benefits transparency helps to reduce wage gaps. As part of our commitment to pay equity and salary transparency, NORC includes a salary range for each job opening along with information about eligible benefit offerings. At NORC, we take a comprehensive approach to setting salary ranges and reviewing raises and promotions, which is overseen by a formal Salary Review Committee (SRC).</i></p></div><br>
</div>
</div><br>
<div><div><b>WHAT WE DO:</b></div>
<div>
<p>NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.</p></div><br>
</div><br>
<div><div><b>WHO WE ARE:</b></div>
<div>
<p>For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we&rsquo;re known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.</p></div><br>
</div><br>
<div><div><b>EEO STATEMENT:</b></div>
<div>
<p>NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics. #LI-DNI</p></div></div></div></div></div><p></p>

AI Engineer II - Chicago Hydrid

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