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aws sagemaker data scientist

data scientist contact center ai

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies, improve automation using AI and improved customer experience. This role applies industry-leading Agentic AI capabilities for creatively solve business problems in the Contact Center space. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as NLP, Conversational AI, Information Retrieval, Generative AI or search.<br>
As a Data Scientist, you will also be responsible for applying advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; 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>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</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; Build and maintain 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 typically 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><p>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</p></li><li><p>
4+ years of industry experience in Machine Learning and AI (specifically Conversational AI)</p></li><li><p>
Prior background and experience in building Generative AI based solutions for industry is a plus</p></li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience in Machine Learning, Conversational AI, predictive modeling, data mining and data analysis</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>
3</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>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</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>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</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>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</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>

Data Scientist, Contact Center AI

Emory University

<div>Discover Your Career at Emory University:
<div>
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.</div>
Description:
<div>
The Division of Microbiology &amp; Immunology and Center for AIDS Research within the Emory National Primate Research Center at Emory University is currently seeking a full time Assistant Scientist, Bioinformatics to join the Emory NPRC Genomics Core laboratory. The successful candidate will work as part of a team that provides bioinformatics services to Emory and extramural researchers. Projects aim at investigating mechanisms of disease in the immune system, cancer and infectious disease. The position will allow for the successful applicant to obtain any necessary additional bioinformatic or computational training to complete the project, including training for single-cell RNA-seq, spatial transcriptomics, epigenetics and WGS.</div><div><br>
The ideal candidate should be motivated, dependable, detail-oriented, have a positive attitude and passion for research. The Assistant Scientist, Bioinformatics will be a team player who is willing to learn on the job and collaborate with lab members and center members. The Assistant Scientist, Bioinformatics will work to ensure the highest quality of laboratory research support, and has good communication skills with co-workers, the management team, PI&rsquo;s, research staff, students, and other support services.</div><div><br>
Collaborate. Innovate. Serve. These three simple words capture what we do at EPC to help advance science and improve the health and well-being of humans and non-human primates. If you are someone with computational biology experience who is familiar with immunology, this is an amazing opportunity to indirectly save and change lives and make a positive impact in the science and research community.</div><div></div><div><br>
Under minimal supervision, the Assistant Scientist, Bioinformatics performs a wide range of highly technical and complex bioinformatics procedures. Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL. This role collaborates with researchers to develop high throughput data processing and analysis capability.</div><div></div><div><br>
Dedicated to discovering causes, preventions, treatments, and cures of disease, Emory National Primate Research Center (EPC) is improving human and animal health and lives worldwide. One of seven NPRCs funded by the NIH, EPC conducts studies that make breakthrough discoveries possible. Learn more at http://enprc.emory.edu</div><div></div><div><br>
KEY RESPONSIBILITIES:
</div><ul><li>Directs and guides database searches and the computational analysis of resulting data.
</li><li>Provides direct technical support and helps guide, implement, and maintain further improvements to bioinformatics software, databases, and interfaces and works with the entire bioinformatics team to diagnose and fix related issues.
</li><li>May assist in grant and other funding applications, as necessary and appropriate.
</li><li>Demonstrated ability to function as part of a team.
</li><li>Performs other responsibilities as required.</li></ul><div>
MINIMUM QUALIFICATIONS:
</div><ul><li>PhD in bioinformatics, computer science, biological or physical science and three years of experience.</li><li>
Experience prior to achieving the PhD will be considered.</li></ul><div>
PREFERRED/DESIRED QUALIFICATIONS:</div><ul><li>
Applicant with a background in bioinformatics and strong computer science with an advanced degree in computational biology, bioinformatics or a related computer science discipline preferred</li><li>
Demonstrable experience writing code to solve biological problems</li><li>
R/Bioconductor proficiency highly preferred</li><li>
Experience working with RNA-Seq is a significant strength</li><li>
Programming experience in C/C++, Python, Java or PERL is a significant plus</li><li>
Experience with containerization/workflow, Docker, Nextflow, Snakemake</li><li>
Excellent communication and scientific writing skills</li><li>
Motivation to turn data into manuscripts.</li><li>
Candidates with analytical experience with spatial transcriptomics will be prioritized.</li></ul><div>
WORKING ENVIRONMENT:</div><ul><li>
This is an on-site/in-person position with limited remote work availability.</li><li>
Your work schedule will be communicated to you by your manager.</li></ul><p>
PRE-EMPLOYMENT SCREENING STATEMENT:</p><p></p><div><br>
The Emory National Primate Research Center (EPC), in conjunction with Emory University, conducts pre-employment screenings for all positions. These screenings may include an Information Network Associates (INA) and criminal background check, and verification of work history, academic credentials, licenses, and certifications. In addition, the process may include a drug screening with health assessment, and review and mandate for various vaccinations. Updated COVID-19 vaccinations may be necessary for specific research projects.</div><div></div><div><br>
NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.</div>
Additional Details:
<div>
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).</div><div></div><div><br>
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.</div></div>

Assistant Scientist, Bioinformatics - Emory National Primate Research Center

Capgemini

<div><div><div><p>Atlanta</p><div>
AWS SageMaker Data Scientist</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
Job Location : Charlotte, NC</div></div></div><div></div><div><div><div>
Job Description</div></div><div><p>
We are seeking a highly skilled AWS SageMaker Data Scientist with deep expertise in building, deploying, and optimizing machine learning solutions on AWS. The ideal candidate will have strong experience with modern ML architectures (including transformers), end-to-end pipeline development, and ML Ops best practices across the AWS ecosystem. This role requires a hands-on technologist who can collaborate with cross-functional teams to translate business needs into scalable AI/ML solutions.</p></div></div><div><div><div>
Must Have Skills :</div></div><div><ul><li>
8+ years of hands-on experience in data science, machine learning, or applied AI.</li><li>
Strong expertise in transformer models, ML architectures, and algorithm development.</li><li>
Proven experience with Amazon SageMaker, AWS Bedrock, and MLflow.</li><li>
Advanced programming skills in Python or R.</li><li>
Experience with AWS analytical and data services including Athena, Redshift, EMR, Glue, and Lambda.</li></ul></div></div><div><div><div>
Key Responsibilities :</div></div><div><ul><li>
Design and implement end-to-end machine learning (ML) pipelines using services such as Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3.</li><li>
Perform data collection, cleaning, and feature engineering to prepare datasets for modeling.</li><li>
Develop predictive models and statistical analyses using Python, R, or similar tools.</li><li>
Deploy, monitor, and optimize ML models in production environments using AWS ML Ops best practices.</li><li>
Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability.</li><li>
Utilize AWS analytics services (Athena, Redshift, QuickSight, EMR) for advanced reporting and visualization.</li><li>
Work with stakeholders to translate business objectives into data science solutions and actionable insights.</li><li>
Apply AI/ML algorithms for use cases such as forecasting, anomaly detection, NLP, computer vision, and recommendation systems.</li><li>
Maintain compliance with security and governance standards for data management on AWS.</li></ul></div></div></div><p>
The base compensation range for this role in the posted location is: 80000-100000</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
433773-en_US</div></div><div><div>
Posted on</div><div>
02 Apr 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Atlanta</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

AWS SageMaker Data Scientist

<div><p><b>Position Purpose:
</b></p><p>The Senior Analyst, Program Management - AI / Automation Enablement, is the functional lead and execution engine for high-impact AI-powered solutions. This role bridges the gap between business strategy and technical delivery, translating the needs of Online Merchants and Brand Advocates into scalable, automated workflows.</p><p></p><p>
Reporting to the Senior Manager, this individual is responsible for the day-to-day management of a &quot;Balanced Team&quot; (Data Science, IT, and UX), ensuring that technical roadmaps are aligned with business realities. The Senior Analyst combines a strong grasp of data architecture and SQL/data warehousing with a product-centric mindset to drive the development, integration, and adoption of agentic systems across a 1&ndash;2 year program horizon.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><p>
25% Cross-Functional Coordination - Balanced Team Leadership: Lead the daily cadence and project rhythm for a matrixed team of Data Science, IT, and UX partners, ensuring high-performance and program rigor. Collaborative Best Practices: Actively contribute to the solution design process, voicing opinions on best practices and fostering a culture of continuous improvement within the technical team. Dependency Management: Proactively identify and resolve impediments across indirect support teams, ensuring that cross-functional roadmaps remain synchronized.</p></li><li><p>
30% Program Execution &amp; Sprint Delivery - Roadmap Management: Orchestrate the phased delivery of AI solutions, balancing immediate sprint needs with the long-term (1&ndash;2 year) strategic goals of the program. Execution Rigor: Manage program tracking against the roadmap, focusing on schedule, scope, and resource alignment while translating technical risks into potential business impacts. Integration Strategy: Coordinate the seamless embedding of AI tools into existing merchant workflows, ensuring that solutions are user-friendly and technically scalable.</p></li><li><p>
15% Stakeholder Alignment &amp; Value Realization - User Advocacy: Serve as the primary point of contact for Online Merchants and Brand Advocates, managing expectations and communicating transparent status updates. Adoption &amp; Change Management: Support the development of change management plans to ensure business teams effectively adopt and trust new AI-driven processes. Value Tracking: Monitor tool performance and report on business outcomes (e.g., efficiency gains, ROI, and decision-making accuracy) to leadership and executive stakeholders.</p></li><li><p>
30% Technical Product Ownership &amp; Solutioning - Workflow Translation: Partner with business users to deconstruct manual processes into structured logic, identifying where AI and automation can drive the most operational leverage. Data Fluency: Leverage SQL and data warehouse knowledge to understand underlying data structures, validate model inputs, and ensure technical solutions are built on a sound architectural foundation. Technical Requirement Definition: Translate ambiguous business &quot;pain points&quot; into high-quality technical requirements, user stories, and acceptance criteria for Data Science and Engineering teams. Product Quality Assurance: Act as a primary tester for AI outputs, ensuring the solution meets the rigorous accuracy and reliability standards required by the business.</p></li></ul><p></p><p><b>
Direct Manager/Direct Reports:
</b></p><ul><li><p>This Position typically reports to Senior Manager.
</p></li><li><p>This Position does not have direct reports.</p></li></ul><p></p><p><b>
Travel Requirements</b>:</p><ul><li><p>
Typically requires overnight travel less than 5% of the time.
</p></li></ul><p></p><p><b>Physical Requirements:
</b></p><ul><li><p>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.</p></li></ul><p></p><p><b>
Working Conditions:
</b></p><ul><li><p>Located in a comfortable indoor area; any unpleasant conditions would be infrequent and not objectionable.</p></li></ul><p></p><p><b>
Minimum Qualifications:
</b></p><ul><li><p>Must be eighteen years of age or older.</p></li><li><p>
Must be legally permitted to work in the United States.</p></li><li><p>
4+ years of professional experience in a Product Management, Business Analysis, or Technical Program Management capacity.</p></li><li><p>
2+ years of direct experience contributing to the implementation of AI, ML, or Automation solutions within business workflows.</p></li><li><p>
Demonstrated experience leading cross-functional &quot;Balanced Teams&quot; (Data Science, Engineering, UX) in an agile or sprint-based environment.</p></li><li><p>
Technical Data Proficiency: Proficiency in SQL and experience navigating cloud data warehouses to analyze data structures and validate solution inputs.</p></li><li><p>
Business Translation: Proven ability to translate ambiguous business &quot;pain points&quot; into structured technical requirements and user stories.</p></li><li><p>
Solution Lifecycle Management: Experience driving a technical product from initial requirements through UAT, deployment, and user adoption.</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Bachelor&rsquo;s degree in a relevant field (Computer Science, Data Analytics, Business Information Systems, or equivalent).</p></li><li><p>
Technical Product Ownership: Prior experience working as a Product Owner or Lead Analyst within a modern software design and development team.</p></li><li><p>
Process Optimization: Demonstrated experience re-engineering manual business processes into automated or AI-enabled workflows.</p></li><li><p>
AI Ecosystem Knowledge: Familiarity with the components of Generative AI systems, including an understanding of how models integrate with enterprise applications via APIs or orchestration layers.</p></li><li><p>
Data Architecture: Knowledge of data modeling concepts and how data flows from source systems to AI model endpoints.</p></li><li><p>
Retail or E-commerce Experience: Prior experience supporting Online Merchants, Brand Advocates, or similar business-side stakeholders in a large enterprise environment.</p></li><li><p>
Change Management: Experience developing training materials and documentation to drive the adoption of new technical tools.</p></li></ul><p></p><p><b>
Minimum Education:</b></p><ul><li><p>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</p></li></ul><p></p><p><b>
Preferred Education:</b></p><ul><li><p>
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.</p></li></ul><p></p><p><b>
Minimum Years of Work Experience</b>:</p><ul><li><p>
2</p></li></ul><p></p><p><b>
Preferred Years of Work Experience:
</b></p><ul><li><p>4</p></li></ul><p></p><p><b>
Minimum Leadership Experience</b>:</p><ul><li><p>
No previous leadership experience</p></li></ul><p></p><p><b>
Preferred Leadership Experience:
</b></p><ul><li><p>No previous leadership experience</p></li></ul><p></p><p><b>
Certifications:
</b></p><ul><li><p>Insurance licensing as required by state</p></li></ul><p></p><p><b>
Competencies:
</b></p><ul><li><p>Action Oriented</p></li><li><p>
Collaborates</p></li><li><p>
Drives Engagement</p></li><li><p>
Ensures Accountability</p></li><li><p>
Communicates Effectively</p></li><li><p>
Customer Focus</p></li><li><p>
Drives Results</p></li><li><p>
Manages Conflict</p></li></ul></div>

Sr Analyst, Program Management AI Automation Enablement

Franklin Fitch

<div>
 <p>
  The AI Adoption Manager is responsible for leading the enterprise-wide adoption, implementation, and evolution of artificial intelligence capabilities across the organization. Acting as both a strategist and hands-on builder, this role translates AI potential into practical solutions that improve operational efficiency, unlock the value of organizational data, and embed AI into the daily workflows of teams across the business.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role owns the full lifecycle of AI enablement - from identifying high-impact opportunities and designing AI strategies to configuring tools, training teams, managing governance, and measuring business outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Outcomes &amp; Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Identify and prioritize high-impact AI use cases across the enterprise.
  </li>
  <li>
   Assess AI readiness, current initiatives, and data maturity.
  </li>
  <li>
   Develop and communicate an enterprise AI strategy aligned to business goals.
  </li>
  <li>
   Deliver quick-win pilots to demonstrate early value and build momentum.
  </li>
  <li>
   Lead staged rollout and configuration of enterprise AI tools.
  </li>
  <li>
   Build and deploy AI solutions (e.g., knowledge assistants, automation workflows).
  </li>
  <li>
   Partner with IT for secure integration and system optimization.
  </li>
  <li>
   Manage pilot programs, refine use cases, and scale successful initiatives.
  </li>
  <li>
   Design and deliver role-based AI training programs.
  </li>
  <li>
   Build internal AI champion networks and user communities.
  </li>
  <li>
   Execute change management strategies to ensure adoption and reduce resistance.
  </li>
  <li>
   Communicate AI value, purpose, and responsible usage across teams.
  </li>
  <li>
   Assess and improve enterprise data quality, accessibility, and integration.
  </li>
  <li>
   Collaborate with data teams to strengthen governance and hygiene.
  </li>
  <li>
   Ensure AI initiatives are based on trusted and compliant data sources.
  </li>
  <li>
   Implement AI governance, privacy, and ethical standards.
  </li>
  <li>
   Conduct audits of AI outputs, usage, and data to mitigate risk.
  </li>
  <li>
   Balance innovation with security, compliance, and brand safety.
  </li>
  <li>
   Track AI adoption, utilization, and business impact.
  </li>
  <li>
   Optimize AI tool allocation and ROI.
  </li>
  <li>
   Capture success stories and continuously improve AI capabilities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Business, IT, Data Science, or related field.
  </li>
  <li>
   Experience in enterprise software implementation, digital transformation, AI enablement, or product ownership.
  </li>
  <li>
   Hands-on experience configuring or implementing AI tools, chatbots, automation platforms, or SaaS solutions.
  </li>
  <li>
   Strong understanding of change management and technology adoption practices.
  </li>
  <li>
   Knowledge of data governance, privacy, and security considerations related to AI.
  </li>
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   Experience working with platforms such as Microsoft Copilot, Azure AI, OpenAI, or similar technologies.
  </li>
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   Familiarity with data integration, analytics platforms, or master data management practices.
  </li>
  <li>
   Certifications in AI governance, change management, or enterprise architecture.
  </li>
 </ul>
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 </p>
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AI Adoption Manager

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<p><b>Job Overview</b><br/>We are seeking a dynamic and innovative AI Researcher to join our cutting-edge technology team. In this role, you will drive the development of advanced artificial intelligence solutions, harnessing the power of machine learning, natural language processing, and big data analytics. Your expertise will help shape the future of intelligent systems, enabling transformative applications across diverse industries. This position offers an exciting opportunity to work with state-of-the-art tools and frameworks, contribute to impactful research projects, and collaborate with a talented team dedicated to pushing the boundaries of AI technology.</p><p><b>Responsibilities</b></p><ul><li>Design, develop, and optimize machine learning models using frameworks such as TensorFlow and other AI tools.</li><li>Conduct research on unsupervised learning techniques to uncover hidden patterns in large datasets.</li><li>Implement data pipelines using ETL processes and tools like Talend to prepare data for analysis and model training.</li><li>Develop scalable solutions leveraging cloud platforms such as AWS for model deployment and management.</li><li>Collaborate with cross-functional teams to integrate natural language processing capabilities into products and services.</li><li>Perform data mining and database design to support analytics initiatives and enhance data accessibility.</li><li>Utilize big data technologies like Hadoop, Spark, and SQL to analyze complex datasets and extract actionable insights.</li></ul><p><b>Requirements</b></p><ul><li>Proven experience in machine learning, AI, and natural language processing with a strong understanding of relevant frameworks such as TensorFlow or similar.</li><li>Proficiency in programming languages including Python, Java, C, VBA, Bash (Unix shell), and R for data analysis and model development.</li><li>Hands-on experience with cloud services like AWS for model training, deployment, and scaling AI solutions.</li><li>Solid knowledge of big data tools such as Hadoop, Spark, SQL databases, and ETL processes for managing large-scale datasets.</li><li>Familiarity with database design principles and linked data concepts to facilitate efficient data retrieval and integration.</li><li>Experience in data mining, analytics, and applying unsupervised learning techniques to real-world problems.</li><li>Ability to work with diverse machine learning frameworks and tools while maintaining a focus on model accuracy and performance.</li><li>Strong analytical skills complemented by expertise in SAS or Looker for advanced reporting and visualization tasks.</li><li>Knowledge of quantum engineering is a plus but not required; enthusiasm for emerging technologies is encouraged. Join us as an AI Researcher to innovate at the forefront of technology! Bring your passion for research, your technical prowess across multiple programming languages and platforms, and your desire to make a meaningful impact through artificial intelligence solutions that transform industries worldwide.</li></ul><p>Pay: From $55,609.76 per year</p><p>Benefits:</p><ul><li>Employee assistance program</li><li>Flexible schedule</li><li>Professional development assistance</li><li>Referral program</li><li>Tuition reimbursement</li></ul><p>Work Location: In person</p>

AI Researcher

<div><div><p><b>Position Purpose:</b></p><p>
The Sr Machine Learning Engineer is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions.<br>
<br>
Sr Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager</li><li>
This Position has 0 Direct Reports</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>
3 - 5 years of relevant work experience<br>
Experience in Python and modern AI development frameworks<br>
Experience building Generative AI applications using large language models (LLMs)<br>
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques<br>
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic<br>
Experience with GenAI frameworks such as Google Agent Development Kit (ADK)<br>
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases<br>
Experience working with vector databases such as google Vertex AI Search<br>
Experience with building conversational AI systems, or AI assistants<br>
Experience with responsible AI practices including bias mitigation and safety guardrails<br>
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems.<br>
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management.<br>
Experience with monitoring, evaluation, and optimization of production AI systems<br>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python)<br>
Experience with GPU acceleration (i.e. CUDA and cuDNN)<br>
Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3<br>
Experience in writing SQL queries against a relational database<br>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security<br>
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide<br>
Familiarity with defensive coding practices and patterns for high Availability<br>
Familiarity with A/B testing and effective REST design for scalable web services architecture<br>
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</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>
2</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>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul><p><i>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit </i><i>https://careers.homedepot.com/our-benefits</i><i>.</i></p></div><p></p><p><br>
Apply End Date: 05/11/2026</p></div>

Senior Machine Learning Engineer – Generative AI (Remote)

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