senior machine learning engineer – generative ai (remote)

data engineer

data scientist

senior accountant

senior analyst, marketing analytics Jobs in Atlanta

senior analyst, marketing analytics

senior machine learning engineer – generative ai (remote) Jobs in Atlanta

senior data scientist

Emory Healthcare

<div>
 
 Overview
 
 
 
 
 Be inspired. Be valued. Belong.
 
 
 
 
 Benefits
 
 
 
 At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:
 
 
 <ul>
 <li>
 Comprehensive health benefits that start day 1
 </li>
 <li>
 Student Loan Repayment Assistance &amp; Reimbursement Programs
 </li>
 <li>
 Family-focused benefits
 </li>
 <li>
 Wellness incentives
 
 
 </li>
 </ul>
 Ongoing mentorship, development, leadership programs...and more!
 
 
 Remote position, however candidates must reside in one of the following states: Alabama, Arkansas, Florida, Georgia, Illinois, Louisiana, Michigan, New Hampshire, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, or Wisconsin.
 
 
 
 Description
 
 
 
 The Data Scientist will play a central role in advancing data‑driven decision‑making across the organization, with a strong focus on improving clinical outcomes through analysis. This position is responsible for developing predictive models and analytical frameworks that uncover the drivers of key operational metrics such as length of stay, patient retention, transfer risk, and throughput bottlenecks.
 
 
 Working closely with clinical, operational, and technical teams, the Data Scientist will design and implement statistical models, machine learning pipelines, and natural language processing solutions that leverage both structured and unstructured healthcare data. The role also includes contributing to MLOps practices to ensure scalable, reliable deployment of models into production environments.
 
 
 This position is ideal for someone who thrives at the intersection of advanced analytics and real‑world healthcare challenges&mdash;someone who can translate complex data into actionable insights that meaningfully improve patient care and organizational performance.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead development of advanced models and experimentation frameworks.
 </li>
 <li>
 Design, build, and maintain end‑to‑end machine learning pipelines in a cloud based framework.
 </li>
 <li>
 Develop and refine NLP pipelines to extract structured information from unstructured clinical documentation.
 </li>
 <li>
 Mentor junior data scientists and review code and methodologies.
 </li>
 <li>
 Own domain-specific analytics solutions and stakeholder relationships.
 </li>
 <li>
 Applying statistical techniques to improve clinical workflows
 </li>
 <li>
 Ensure model governance and documentation standards are met.
 </li>
 <li>
 Explore large datasets to identify patterns, trends, and insights.
 </li>
 <li>
 Create visualizations (such as charts, graphs, and dashboards) to communicate findings effectively.
 </li>
 <li>
 Apply statistical techniques to analyze data and draw meaningful conclusions.
 </li>
 <li>
 Collaborate with data scientists to build predictive models when necessary.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in StrataJazz or similar decision support system (Data sources include electronic health records (e.g., EPIC), decision support systems (e.g, EPSi, StrataJazz), and other healthcare systems.)
 </li>
 <li>
 HIPAA compliance or experience with OMOP/standardized data models.
 </li>
 <li>
 HL7/FHIR standards and Data Ethics/Privacy.
 </li>
 <li>
 Agile experience
 </li>
 <li>
 JUDGEMENT: Leads a team - Helps develop and implement a solution and/or analytical strategy for the group - Manage customer relationships, communicating results and recommendations to project sponsors, clients &amp; various senior level audiences - Guide decision-making through data-driven recommendations
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Education: A bachelors degree, a master's degree is preferred
 </li>
 <li>
 Experience: At least 5 years of experience either in healthcare or data analytics - At least 2 years of experience working for payor companies or healthcare systems - At least 2 years of experience in relational database - Proficient in SQL and at least 1 other programming languages (e.g., Python, R, SAS) - Experience in statistical modeling, machine learning, AI - Excellent presentation skills - Experience in strategic planning and workflow optimization - Mentor and coach the broader analytic team and service line operation leaders
 
 
 </li>
 </ul>
 
 Additional Details
 
 
 
 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 Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare&rsquo;s Human Resources at careers@emoryhealthcare.org . Please note that one week's advance notice is preferred.
</div>

Data Scientist

The Home Depot

<div>Position Purpose:
The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
 
As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. 
Key Responsibilities:<ul><li>
70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position reports to manager or above
</li><li>This position has 0 direct reports</li></ul> 

Travel Requirements:<ul><li>
No travel required.</li></ul> 

Physical Requirements:<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> 

Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
3+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience running queries against data (preferably with Google BigQuery or SQL)</li><li>
Experience in predictive modeling, data mining and data analysis</li><li>
Experience with data visualization software (preferably Tableau)</li><li>
Experience utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Basic knowledge or exposure to predictive modeling, data mining and data analysis</li></ul> 

Minimum Education:<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> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
0</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<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>

Associate Data Scientist - Solutions Strategy

Chick-fil-A Corporate

<div>How We Work At Chick-fil-A: Chick-fil-A, Inc. ('Chick-fil-A' or 'the Company') Staff members play a vital role in achieving our strategic goals by developing their skills, fostering inclusive teamwork, and embracing innovation. All Staff are expected to contribute to a compelling future by inspiring and motivating those around them. Growth and development are essential at Chick-fil-A. We want Staff to seek new perspectives and adopt new methods to drive continuous improvement and adaptation to evolving business needs. Lastly, we ask Staff to seek wisdom, expect the best, accept responsibility, respond with courage, and think others first.
 
 
Our Flexible Futures Model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community. Overview:

The Principal Data Scientist is a senior individual contributor responsible for defining and leading advanced analytical approaches to complex and ambiguous business problems. This role shapes modeling strategy and technical direction for high-impact analytics initiatives, primarily supporting Restaurant Development while influencing broader enterprise analytics capabilities. 
The role is responsible not only for building models but also for framing analytical problems, defining modeling approaches, and establishing reusable analytical patterns that other data scientists can build upon. The Principal Data Scientist works closely with cross‑functional partners including business stakeholders, data engineers, analysts, and product teams to translate large and complex problems into actionable insights. 
The ideal candidate combines deep expertise in statistical modeling, machine learning, and data analysis with strong problem‑solving and communication skills. This role contributes to high‑impact analytical initiatives and helps elevate analytical practices within project teams while remaining primarily focused on hands‑on modeling and technical delivery.
Responsibilities:

Responsibilities &ndash; Advanced Analytics &amp; Modeling<ul><li>
Define modeling approaches and analytical frameworks for complex or ambiguous problems where established solutions do not yet exist.</li><li>
Apply predictive modeling, forecasting, classification, clustering, and other advanced analytics techniques to large datasets.</li><li>
Explore and integrate diverse data sources including transactional, behavioral, demographic, geospatial, and operational data.</li><li>
Build and validate models using best practices for feature engineering, experimentation, and model evaluation.</li><li>
Translate analytical findings into clear insights and recommendations for business stakeholders.</li></ul> 
Responsibilities &ndash; Technical Contribution<ul><li>
Develop production‑ready analytical models and support their integration into data platforms and business workflows.</li><li>
Identify modeling risks early, including bias, data limitations, drift, and statistical assumptions that could impact model validity.</li><li>
Collaborate with data engineers and analytics teams to ensure data quality, model reliability, and scalable implementation.</li><li>
Contribute to the development of reusable analytical frameworks, code libraries, and modeling workflows.</li><li>
Support the evaluation and selection of appropriate analytical techniques and tools for specific use cases.</li><li>
Document analytical approaches, model assumptions, and results to ensure reproducibility and transparency.</li></ul> 
Responsibilities &ndash; Cross‑Functional Collaboration<ul><li>
Partner with business stakeholders to understand analytical needs and translate business questions into data science solutions.</li><li>
Communicate complex analytical results in a clear and concise manner to both technical and non‑technical audiences.</li><li>
Contribute to cross‑functional analytics initiatives and collaborate with engineering, product, and analytics teams.</li><li>
Provide guidance and knowledge sharing on modeling approaches and analytical methods within project teams.</li></ul>
Required Qualifications (Knowledge, Skills, &amp; Abilities):
<ul><li>6+ years of experience in data science, machine learning, or advanced analytics.</li><li>
Strong understanding of statistical modeling, machine learning algorithms, and predictive analytics.</li><li>
Proficiency in Python and SQL for data analysis and model development.</li><li>
Experience working with large datasets and modern data platforms.</li><li>
Strong problem‑solving, analytical thinking, and communication skills.</li></ul>
Preferred Qualifications (Knowledge, Skills, &amp; Abilities):
<ul><li>8+ years of experience in data science, machine learning, or advanced analytics.</li><li>
Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar tools.</li><li>
Experience with distributed data processing frameworks such as Spark.</li><li>
Exposure to cloud‑based analytics platforms such as AWS, Azure, or GCP.</li><li>
Experience applying advanced analytics techniques such as geospatial analysis, optimization, or network modeling.</li></ul>
Required Years of Experience: 6 Preferred Years of Experience: 8 Travel Requirements: 10% Required Level of Education: Bachelor's Degree Preferred Level of Education: Master's Degree Major/Concentration: Statistics, Computer Science, Applied Mathematics, Data Science, Engineering, or a related quantitative field. Relocation Assistance Provided: No</div>

Data Scientist - New Restaurants

Worldpay

<div>Job Description
Please note: Sponsorship is NOT eligible for this role including OPT. Applicants must be a US Citizen or Green Card holder.
Are you ready to write your next chapter? 
Make your mark at one of the biggest names in payments. We&rsquo;re looking for a Data Scientist to join our ever evolving team and help us unleash the potential of every business.
Location: Cincinnati, OH, Denver, CO, or Atlanta, GA office locations, hybrid schedule<h3 class="jobSectionHeader">
What you&rsquo;ll own as the Data Scientist</h3><ul><li>
Analyze and extract insights from internal and external data.</li><li>
Employ machine learning and statistical modeling to create and enhance data-driven products.</li><li>
Work with Big Data and transform complex datasets into more usable formats.</li><li>
Utilize a variety of data science tools and programming languages such as Python, R, and SQL.</li><li>
Work independently and collaborate with other groups to solve complex problems.</li><li>
Create and present analyses to internal and external partners and clients.</li><li>
Document models and write code to track and monitor models and product performance.</li><li>
Make pragmatic and business-aware choices when trading off sophistication and accuracy versus implementation and performance costs.</li><li>
Participate in project planning sessions, analyze requirements, and provide design recommendations for complex analytical systems.</li><li>
Other related duties as assigned.</li></ul><h3 class="jobSectionHeader">
What you&rsquo;ll bring</h3><ul><li>
Degree in Data Science, Statistics, Decision Sciences, Applied Mathematics, Economics, Computer Science, or an equivalent combination of education, training, and work experience.</li><li>
Proficient in data science tools and programming languages Python, R, and SQL</li><li>
Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis.</li><li>
Experience or knowledge of cloud-based technology.</li><li>
Ability to collaborate with others and solve complex problems.</li><li>
Outstanding verbal and written communication skills to technical and non-technical audiences at all levels.</li><li>
Excellent analytical, decision-making, problem-solving, team, and time management skills.</li><li>
Positive outlook, strong work ethic, and responsiveness to internal and external clients and contacts.</li></ul>
About the team
To learn more about our winning teams, check out our world-class teams that own it every day.
What makes a Worldpayer
What makes a Worldpayer? It&rsquo;s simple: Think, Act, Win. We stay curious, always asking the right questions and finding creative solutions to simplify the complex. We&rsquo;re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we&rsquo;re determined, always staying open and winning and failing as one.
Does this sound like you? Then you sound like a Worldpayer. Apply now to write the next chapter in your career.
#LI-JH1 

Worldpay is dedicated to offering individuals rewarding career opportunities and competitive compensation. For this full-time position, the good faith estimated annual salary range upon hire is $101,100.00-$152,550.00. This range reflects what we reasonably expect to offer based on the role&rsquo;s responsibilities, level, and geographic location. The actual starting salary will be determined by a candidate&rsquo;s experience, job-related skills, and relevant education or training. Please note that changes in work location may impact the final offered salary. We encourage you to consult with your recruiter to confirm the budget for your location and to better understand the applicable pay scale.
EEOC Statement
Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.
If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.</div>

<div>Position Purpose:
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. 
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. 
Key Responsibilities:<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> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<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> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of industry experience in Machine Learning and AI (specifically Conversational AI)</li><li>
Prior background and experience in building Generative AI based solutions for industry is a plus</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> 
Minimum Education:<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> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<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>

Data Scientist, Contact Center AI

PRGX Global, Inc

<div><div><div><div><div>Job Title 
</div><div>Data Scientist 
</div></div> 
 
<div><div>Employment Type 
</div><div>Full-time 
</div></div> 
<div><div>Work Authorization Requirements 
</div><div>Authorized to work in the United States 
</div></div> 
<div><div>Language Requirements 
</div><div>English 
</div></div> 
</div></div>About PRGX

PRGX is the global leader in source-to-pay data analytics and software, and tech-enabled profit recovery services. We provide software and services to maximize revenue recovery and drive margin improvement for our clients. For more information about PRGX, visit www.prgx.com.

Job Duties &amp; Responsibilities
<ul><li>Apply machine learning algorithms and statistical models to large datasets to identify trends, patterns, and relationships.</li></ul>
<ul><li>Collaborate with cross-functional teams to understand business objectives and develop data-driven solutions.</li></ul>
<ul><li>Design and implement end-to-end machine learning pipelines, from data preprocessing to model training, evaluation, and deployment.</li></ul>
<ul><li>Stay up-to-date with the latest research and developments in machine learning and artificial intelligence</li></ul>
<ul><li>Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations.</li></ul>
<ul><li>Mentor and guide interns on the team.</li></ul>
<ul><li>Other duties as assigned.</li></ul>

Knowledge &amp; Qualifications
<ul><li>Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science.</li></ul>
<ul><li>PhD preferred.</li></ul>
<ul><li>Minimum of 1 year of experience applying machine learning techniques to solve complex data problems.</li></ul>
<ul><li>Strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods.</li></ul>
<ul><li>Experience with data preprocessing, feature engineering, and data visualization techniques.</li></ul>
<ul><li>Proficiency in Python programming, and experience working with big data tools such as Spark.</li></ul>
<ul><li>Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.</li></ul>
<ul><li>Strong problem-solving skills and attention to detail.</li></ul>
<ul><li>Experience with agile development methodologies and version control tools such as Git.</li></ul>

Preferred Qualifications:
<ul>
<li>Experience working with natural language processing (NLP) techniques.</li>
<li>Familiarity with deep learning frameworks such as TensorFlow or PyTorch.</li>
<li>Knowledge of cloud computing platforms such as AWS, GCP, or Azure.</li>
</ul>
Our Commitment to Equal Opportunity

PRGX is an equal opportunity employer. We comply with all applicable local, national, and international laws regarding non-discrimination and equal employment. We do not discriminate based on any legally protected characteristic and are committed to fostering an inclusive, respectful, and equitable workplace. Reasonable accommodations are available for qualified individuals in accordance with local laws and best practices.

Physical Requirements

Ability to sit or stand for extended periods of time, manual dexterity for typing, writing, or using office equipment, visual acuity for reading screens and documents, ability to lift or carry light items such as laptops, and speech and hearing ability for calls, virtual meetings, and in-person communication

Data Privacy

Your personal data will be handled in accordance with applicable data protection laws. We only collect information necessary for recruitment and will not share your data without your consent.
WORKING CONDITIONS AND EQUAL EMPLOYMENT

Any physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the described job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally required to remain stationary; move; lift and/or move up to 15 pounds. The employee must regularly sit; use hands to finger, handle, or feel; reach with hands and arms; communicate. Specific vision abilities required by this job include close vision.

PRGX does not discriminate against employees or applicants for employment based upon race, color, national origin, genetic information, religious beliefs, gender, age, marital status, disability, veteran status, or any other protected classifications, activities, or conditions as required by federal, state and local laws.</div>

<div><div><div>Position Purpose:</div><div> 
The Senior Data Engineer is an experienced individual contributor responsible for designing, building, and operating scalable data platforms and data products within the Enterprise Data Warehouse (EDW). This includes developing and maintaining core data domains, semantic layers, and enabling downstream analytics consumers. This engineer partners with staff and principal engineers to implement established architectural patterns, contribute to platform modernization efforts, and provide technical guidance through collaboration and code reviews while remaining hands‑on in complex backend data engineering work. The role emphasizes reliability, performance, cost efficiency, and analytical correctness across the EDW ecosystem.</div>
Key Responsibilities:<ul><li>
50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens</li><li>
20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people</li><li>
10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Software Engineer Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<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> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
2-4 years of experience in backend data engineering or analytics platform engineering</li><li>
Strong hands-on experience with cloud data warehouses (BigQuery strongly preferred)</li><li>
Advanced SQL expertise and strong working knowledge of Python</li><li>
Proven experience designing enterprise-grade data models, including curated/ADS datasets</li><li>
Experience building and supporting semantic layers (AtScale preferred, but not required)</li><li>
Experience with universal or shared semantic modeling across multiple domains or products</li><li>
Experience with CI/CD and orchestration frameworks, including Jenkins and Airflow</li><li>
Strong understanding of performance tuning and cost optimization techniques in large data environments</li><li>
Experience designing systems for high availability, resilience, and scalability</li><li>
Ability to work across teams and influence architectural decisions without direct authority</li></ul> 
Minimum Education:<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> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<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>
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 https://careers.homedepot.com/our-benefits.</div> 
Apply End Date: 05/11/2026</div>

Senior Software Engineer, Supply Chain Data & Analytics (Remote)

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