associate data engineer

data engineer — customer data platform Jobs in Atlanta

data engineer — customer data platform

ai/ml engineering intern

associate applied data scientist Jobs in Atlanta

associate applied data scientist

associate data analyst

intern data science

Shake Shack

<div>
 *Our secret to leading the way in hospitality? We put our people first!*
 <br/>
 <br/>
 At Shake Shack, our mission is to Stand For Something Good in all that we do. From our teams to our neighborhoods, we're committed to always doing the right thing. As one of the fastest-growing hospitality brands, we're all about crafting unforgettable experiences for our guests. We offer endless learning opportunities and the chance to make a lasting impact on our business, restaurants, and communities. As a member of the #ShackFam, you&rsquo;ll have access to hands-on mentorship, training, and growth potential, all in a fun and inclusive environment.
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 Join us and Be a Part of Something Good.
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 Our Summer Internship Program is built for students who want real experience, real ownership, and real impact. From day one, interns work on meaningful business projects that support teams across our Support Centers in New York City and Atlanta. You&rsquo;ll collaborate with leaders, partner across functions, and see firsthand how ideas turn into action at a fast-growing, guest-focused company.
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 <br/>
 In addition to project work, interns participate in a structured cohort experience designed to provide exposure to our culture, our operations, and the people who make Shake Shack special.
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 <strong>
  Program Details
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 </strong>
 <ul>
  <li>
   *Program Dates:* June 11 &ndash; August 4 (8 weeks, 32 hours per week)
  </li>
  <li>
   *Pay:* $25/hour
  </li>
  <li>
   *Work Model:* Hybrid (Monday remote, Tuesday&ndash;Thursday in person)
  </li>
  <li>
   *Eligibility:* Rising college juniors and seniors
  </li>
  <li>
   *Location:* Atlanta Support Center
  </li>
  <li>
   Project Title: *What Drives Guest Visit Frequency? (A Data Science Approach)
   <br/>
   <br/>
  </li>
 </ul>
 The intern will join our Data Science team to analyze guest behavior, feedback, operational experiences, promotional offers, and the overall value proposition to develop a comprehensive understanding of the factors that influence visit frequency among different guest segments&mdash;loyal, infrequent, and new guests at Shake Shack. The goal is to identify key drivers of guest behavior and determine how these factors can be leveraged to improve visit frequency.
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 <br/>
 The intern will partner with the Data Science and Consumer Insights teams to:
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 <br/>
 <ul>
  <li>
   Develop a dashboard to explore and visualize key guest metrics and behavioral trends
  </li>
  <li>
   Support the development of guest segmentation models
  </li>
  <li>
   Derive actionable insights on the drivers of guest frequency across different cohorts
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   <br/>
  </li>
 </ul>
 <strong>
  Program Experience
  <br/>
  <br/>
 </strong>
 Throughout the summer, interns will take part in a series of cohort experiences designed to complement their project work and provide exposure to the broader business. Program experiences include:
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 <ul>
  <li>
   Intern Orientation &amp; Cohort Kickoff
  </li>
  <li>
   Intern Mixers and networking events
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  <li>
   Shack visit &amp; operational shadowing experience
  </li>
  <li>
   Leadership conversations with senior leaders
  </li>
  <li>
   Development workshops focused on leadership and communication skills
  </li>
  <li>
   Cross-functional cohort programming and collaboration
  </li>
  <li>
   Final project presentation &amp; graduation event
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   <br/>
  </li>
 </ul>
 <strong>
  Benefits At Shake Shack
  <br/>
  <br/>
 </strong>
 A work environment where you can come as you are, share your ideas, have fun, and work collaboratively:
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 <ul>
  <li>
   Weekly Pay and Performance bonuses
  </li>
  <li>
   Shake Shack Meal Discounts
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  <li>
   Exclusive corporate discounts for travel, electronics, wellness, leisure activities and more
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   <br/>
  </li>
 </ul>
 * Medical, Dental, and Vision Insurance*
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 * Employer Paid Life and Disability Insurance*
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 * 401k Plan with Company Match*
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 * Paid Time Off*
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 * Paid Parental Leave*
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 <ul>
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   Access to Employee Assistance Program on Day 1
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   Pre-Tax Commuter and Parking Benefits
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  </li>
 </ul>
 * Flexible Spending and Dependent Care Accounts*
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 <ul>
  <li>
   Development and Growth Opportunities
  </li>
  <li>
   Eligibility criteria applies
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   <br/>
  </li>
 </ul>
 Click the "*Apply*" button above to apply for this opening.
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 <br/>
 *About Us*
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 <br/>
 Beginning as a hot dog cart in New York City&rsquo;s Madison Square Park, Shake Shack was created by Danny Meyer, Founder and CEO of Union Square Hospitality Group and best-selling author of Setting the Table. Shack Fans lined up daily, making the cart a resounding success, and donating all proceeds back to the park beautification efforts. A permanent stand was eventually built&hellip;and the rest is Shack history! With our roots in fine dining and giving back to the community, we are committed to high quality food served with a high level of hospitality. Our team members enjoy a positive work environment that is deeply committed to the philosophy that we "Stand for Something Good."
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 *Shake Shack is an Equal Opportunity Employer *
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 All qualified applicants will receive consideration for employment without regard to any protected characteristic, including race, color, ancestry, national origin, religion, creed, age, disability (mental and physical), sex, gender identity, sexual orientation, gender expression, medical condition, genetic information, marital, military and veteran status.
</div>


Intern - Data Science

JM HUBER CORPORATION

<div><p><b>Portfolio Business</b><b><i>:</i></b> Corporate</p><p>
J.M. Huber Corporation is one of the largest privately held, family-owned companies in the United States. Established in 1883, we are a diversified, global supplier of specialty and commodity chemicals, hydrocolloid solutions, engineered wood products and natural resources to customers spanning a wide variety of industries. With approximately $3 billion in sales and 4,000 employees worldwide, we have a material presence in more than 20 countries.</p><div><div><div><h2 class="jobSectionHeader"><b>
Position Summary</b></h2></div><div><p>
The Corporate Safety and Sustainability team is seeking a personable and highly motivated intern to support with strategic projects related to Data Management and Analytics. As part of the summer internship program, you will have the chance to work with experienced Sustainability and Operations professionals. If you&rsquo;re looking for a summer filled with real-world work experience and hands-on learning, this is the internship for you!</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Principal Duties &amp; Responsibilities</b></h2></div><div><ul><li>
Develop strong understanding of tools and technologies in use by the Safety and Sustainability teams.</li><li>
Work across Oracle ERP, 3rd Party SaaS tools, Microsoft tools (PowerBI, Excel) in the advancement of reporting, KPIs, and Dashboards</li><li>
Develop Work Aids, Policy documents, or Training as needed for System use, data management and roll-out related to required governance of data management against global frameworks.</li><li>
Research Public Information and Sources for best practices in data management and system use within the work of Sustainability</li><li>
Prepare concise summaries and recommendations to support development of long‑term data management excellence.</li><li>
Gain knowledge and experience in a variety of areas within the Safety and Sustainability function, including operational context for diverse manufacturing environments.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Education, Specialized/Technical Knowledge or Required Skills</b></h2></div><div><div><p><b>
Education:</b><b>
</b></p><ul><li>Current undergraduate student or graduate student studying Environmental Science, Sustainability, Data Analytics or related fields</li></ul></div><p></p><div><p><b><br>
Required skills/competencies:</b></p></div><div><ul><li><p>
Proficiency with Microsoft 365 and Zoom</p></li></ul></div><div><ul><li><p>
Excellent oral and written communication skills</p></li></ul></div><div><ul><li><p>
Ability to work in detail-oriented, dynamic and changing environment</p></li></ul></div><div><ul><li><p>
Strong Data Analytics and IT Systems skills</p></li></ul></div></div></div></div><p>
Our employees are our strongest asset, and their safety, health, and well-being is our highest priority. We respect the individual by providing opportunities for professional and personal development. Our Principles drive us to create an inclusive workplace where employees share core values, show dignity and respect toward others, and work hard to achieve their best performance.</p><p>
J.M. Huber Corporation is an EEO employer. Pre-employment drug screening is required</p></div><p></p>

Sustainability Analytics Intern

Corpay

What We Need
<br>Looking for a summer internship with a highly dynamic, entrepreneurial company? Seeking a rewarding summer experience that will stand out from the crowd?
<br>Corpay is a leading global payments and financial services firm headquartered in Atlanta, GA. We invite you to join our 8-10-week paid summer internship program for rising juniors and seniors.
<br>The Salesforce intern performs and supports deployments and maintenance of Salesforce application. In addition, the intern performs activities such as data gathering, data cleansing developing integrations, working directly with key business leaders to understand Fleetcor business processes and with IT stakeholders to maintain the health of Salesforce application.
<br><br>
How We Work
<br>As a Salesforce intern you will be expected to work in an in-office environment. Corpay will set you up for success by providing:
<br><ul>
<li>Assigned workspace in office</li>
<li>Company-issued equipment</li>
<li>Formal, hands-on training</li>
</ul>
Role Responsibilities
<br><ul>
<li>Basic configuration of the system such as user management and security profile updates.</li>
<li>Creating interfaces to bring in data from external systems.</li>
<li>Participating in performing weekly deployments.</li>
<li>Creating, maintaining and supporting standard Salesforce reports and dashboards.</li>
<li>Improving data quality by using tools such as Cloudingo.</li>
<li>Assisting with Salesforce optimization initiatives such as cleansing fields and page layouts.</li>
<li>Monitoring errors and escalate them when necessary.</li>
<li>Exhibiting professionalism, accountability, integrity, transparency, team spirit and respect for other team members.</li>
</ul>
Qualifications & Skills
<br><ul>
<li>Bachelor’s degree (or pursuing) in technology, business, marketing or a related field.</li>
<li>Strong communication / interpersonal skills, capable of interacting with multiple levels of IT and business management.</li>
<li>Good writing, verbal and other presentation skills.</li>
<li>Analytical mind with ability to learn quickly.</li>
<li>Ability to work collaboratively with peers and superiors.</li>
<li>Basic understanding of IT concepts such as Cloud computing, Client-Server architecture and software development lifecycle.</li>
<li>Ability to use email and collaborate with other team members using chat tools.</li>
</ul>
Equal Opportunity/Affirmative Action Employer
<br><br>
Corpay is an Equal Opportunity Employer. Corpay provides equal employment opportunities to all employees and applicants without regard to race, color, gender (including pregnancy), religion, national origin, ancestry, disability, age, sexual orientation, gender identity or expression, marital status, language, ancestry, genetic information, veteran and/or military status or any other group status protected by federal or local law. If you require reasonable accommodation for the application and/or interview process, please notify a representative of the Human Resources Department.
<br>For more information about our commitment to equal employment opportunity and pay transparency, please click the following links:  EEO and Pay Transparency

Salesforce Intern

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>AI/ML Engineering Intern</b></p>
<p><b>
Associate I - Data Science</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
UST is looking for AI/ML Engineering Interns who are ready to push the boundaries of Agentic AI and Generative AI at scale. At UST, we don&rsquo;t just build models&mdash;we build intelligent, autonomous systems that redefine how enterprises operate.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<ul><li> Build Generative AI Systems: Design and implement production-grade RAG pipelines, including document chunking, embedding generation, retrieval strategies, and vector database integration.</li></ul>
<ul><li> Develop Agentic Workflows: Build and orchestrate autonomous multi-agent systems using frameworks such as LangGraph, CrewAI, and OpenAI Agent SDK.</li></ul>
<ul><li> Accelerate Software Development: Leverage modern AI-assisted developer tools such as Claude Code, Codex, and Cursor to enhance developer productivity and automate engineering workflows.</li></ul>
<ul><li> Develop Scalable AI Services: Build robust backend services and APIs using Python and FastAPI to support AI-powered applications.</li></ul>
<ul><li> Evaluate AI Systems: Define and implement evaluation frameworks for LLMs and AI agents, focusing on metrics such as faithfulness, answer relevancy, retrieval quality, and hallucination detection.</li></ul>
<ul><li> Apply AI Expertise: Utilize knowledge of machine learning, deep learning, NLP, and computer vision to build and enhance AI-driven solutions.</li></ul>
<ul><li> Collaborate on Cloud Deployments: Work with cloud platforms such as AWS, GCP, or Azure to build scalable AI systems.</li></ul><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<ul><li> Academic Background</li></ul>
<ul><li> Currently pursuing a 4-year undergraduate degree (minimum requirement) in Computer Science, Artificial Intelligence, Data Science, or a related field.</li></ul>
<ul><li> Master&rsquo;s and PhD students are strongly encouraged to apply.</li></ul>
<ul><li> Programming &amp; Engineering</li></ul>
<ul><li> Strong proficiency in Python and experience building backend systems or APIs.</li></ul>
<ul><li> Familiarity with modern frameworks such as FastAPI, Node.js, or similar.</li></ul>
<ul><li> Solid understanding of data structures, algorithms, and software engineering fundamentals.</li></ul>
<ul><li> Generative AI &amp; Agent Systems</li></ul>
<ul><li> Understanding of RAG architectures, embeddings, retrieval strategies, and vector databases.</li></ul>
<ul><li> Exposure to agent frameworks such as LangGraph, CrewAI, OpenAI Agent SDK, ADK, MCP, or Agent-to-Agent workflows.</li></ul>
<ul><li> Data &amp; Database Skills</li></ul>
<ul><li> Good understanding of SQL and relational databases.</li></ul>
<ul><li> Experience working with structured and semi-structured data.</li></ul>
<ul><li> Cloud &amp; Infrastructure</li></ul>
<ul><li> Familiarity with AWS, Google Cloud Platform, or Microsoft Azure.</li></ul>
<ul><li> Exposure to modern AI engineering tools and development environments.</li></ul>
<ul><li> Mathematical Foundations</li></ul>
<ul><li> Strong foundation in Probability, Statistics, Linear Algebra, and Calculus.</li></ul>
<ul><li> Personal Attributes</li></ul>
<ul><li> Curiosity to explore cutting-edge AI technologies.</li></ul>
<ul><li> Ability to learn quickly and work in fast-paced technical environments.</li></ul>
<ul><li> Strong problem-solving mindset and effective communication skills<b>.</b></li></ul><br>
<p></p>
<p>
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.</p>
<p><b>
Role Location: Georgia</b></p>
<p><b>
Compensation Range</b>: $56,000-$84,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
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.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
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.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
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.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-VK5</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>ai agent,statistical modeling,ai agent orchestration,natural language processing,prompt engineering,python,</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 56,000.00 to 84,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>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></div>

AI/ML Engineering Intern

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
The Data Science Sr. Manager - GenBI is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.<br>
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
50% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments</li><li>
15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs</li><li>
25% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management</li><li>
10% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Proficient managing and growing team members in a professional setting</li><li>
Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting</li><li>
Demonstrated experience with translating high level strategy to tactical execution</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
11+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
10</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div><p></p>

Data Science Senior Manager - Generative BI

<div><p><b>Position Purpose:</b></p><p>
The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, efficiencies and customer value by supporting the data science and analytical needs of THD&rsquo;s Cost Finance Team. This role assists in the development of the Home Depot advanced analytics, machine learning, and AI infrastructure that informs cost mitigation and strategic sourcing decisions. Sr. Data Scientists are expected to seek out business opportunities to leverage data science to improve the company&rsquo;s cost position and profitability. Based on the specific data science team, this role would need to be an expert in data science methods such as data engineering, pipeline development and maintenance, machine learning, and artificial intelligence as well as fluent in cost finance concepts.</p><p></p><p>
As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with finance managers and finance leadership, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
30% Project Management &amp; Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team</li><li>
20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position reports to manager or above</li><li>
This position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree (Computer Science, Math, Statistics, etc.)</li><li>
Bachelor&rsquo;s Degree in required field (Mathematics, Statistics, Economics, Finance)</li><li>
6+ years of experience in business intelligence and data science</li><li>
Working knowledge of international trade dynamics and regulations or experience supporting retail cost mitigation efforts</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis in a retail setting</li><li>
Experience developing production quality databases and pipelines for machine learning/artificial intelligence</li><li>
Demonstrated proficiency in building Gen AI agents and building agentic AI systems</li><li>
Experience working with Application Programming Interfaces (APIs)</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Proficient in Python</li><li>
Proficient running queries against Google BigQuery</li><li>
Proficient with Tableau</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems (including hypothesis testing, regression, time series, machine learning, and deep learning)</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
5</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Cultivates Innovation: Creating new and better ways for the organization to be successful</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div><p></p>

Senior Data Scientist - Generative BI

<div><p><b>Position Purpose:</b></p><p>
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this strategic initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics.<br>
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.<br>
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
40% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments</li><li>
25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts</li><li>
15% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management</li><li>
20% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to Senior Manager or above</li><li>
This position has Direct Reports &amp; manages programs</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Strong background in Business Intelligence (BI), enterprise data strategy, and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><li>
9+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Experience managing and growing team members in a professional setting</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
8</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div><p></p>

Data Science Manager - GenBI

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