data scientist

The Home Depot

<p>Position Purpose:<br/></p><p>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.<br/>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.<br/></p><p>Key Responsibilities:<br/>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<br/>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<br/>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<br/></p><p>Direct Manager/Direct Reports:<br/>This position reports to manager or above<br/>This position has 0 direct reports<br/></p><p>Travel Requirements:<br/>No travel required.<br/></p><p>Physical Requirements:<br/>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.<br/></p><p>Working Conditions:<br/>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/>Must be eighteen years of age or older.<br/>Must be legally permitted to work in the United States.<br/></p><p>Preferred Qualifications:<br/>Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience<br/>3+ years of experience in business intelligence and analytics<br/>Working knowledge of Microsoft Excel and Power Point<br/>Experience in a modern scripting language (preferably Python)<br/>Experience running queries against data (preferably with Google BigQuery or SQL)<br/>Experience in predictive modeling, data mining and data analysis<br/>Experience with data visualization software (preferably Tableau)<br/>Experience utilizing statistical techniques to identify key insights that help solve business problems<br/>Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP<br/>Basic knowledge or exposure to predictive modeling, data mining and data analysis<br/></p><p>Minimum Education:<br/>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.<br/></p><p>Preferred Education:<br/>No additional education<br/></p><p>Minimum Years of Work Experience:<br/>0<br/></p><p>Preferred Years of Work Experience:<br/>No additional years of experience<br/></p><p>Minimum Leadership Experience:<br/>None<br/></p><p>Preferred Leadership Experience:<br/>None<br/></p><p>Certifications:<br/>None<br/></p><p>Competencies:<br/>Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm<br/>Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals<br/>Collaborates: Building partnerships and working collaboratively with others to meet shared objectives<br/>Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences<br/>Customer Focus: Building strong customer relationships and delivering customer-centric solutions<br/>Drives Results: Consistently achieving results, even under tough circumstances<br/>Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder<br/>Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement<br/>Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals<br/>Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels<br/></p>

Associate Data Scientist - Decision Analytics

Delta Air Lines

<div><div><div><div><div><p><b>United States, Georgia, Atlanta</b></p>
<p><b>Information Technology</b></p>
<p><b>01-Jul-2026</b></p>
<p><b>Ref #: 33178</b></p>
</div></div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>How you'll help us Keep Climbing (overview &amp; key responsibilities)</b></h3>
</div></div><div><div>Delta Air Lines, Inc. has multiple openings for Senior Decision Scientists in Atlanta, GA.
</div><div>Key Responsibilities
</div><div><ul><li>Develop optimization models and algorithms that enhance operational efficiency.</li>
<li>Consult with internal business units to develop models and other decision-support solutions that meet business needs. Identify opportunities for automation and mathematical optimization, experimenting and evaluating the methodologies that deliver benefits including profitability, cost savings, and revenue growth.</li>
<li>Generate optimization framework and implement solutions.</li>
<li>Apply understanding of quantitative analyses to evaluate evolving business needs and use cases.</li>
<li>Use statistical analysis, operations research, and machine learning to create models that guide decision making.</li>
<li>Collaborate with business units and peers on solutions and ideas and use technical expertise and business acumen in partnering with stakeholders.</li>
<li>Mentor junior scientists and research specialists.</li>
<li>Telecommuting permitted two to three days per week.</li><br>
</ul></div></div></div></div><div></div><br>
<div><div><div><div><h3 class="jobSectionHeader"><b>Benefits and Perks to Help You Keep Climbing</b></h3>
</div></div><div><div>Our culture is rooted in a shared dedication to living our values &ndash; Care, Integrity, Resilience, Servant Leadership, and Teamwork &ndash; every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way:
</div><div>Competitive salary, industry-leading proﬁt sharing program, and performance incentives
</div><div>401(k) with generous company contributions up to 9%
</div><div>Paid time off including vacation, holidays, paid personal time, maternity and parental leave
</div><div>Comprehensive health beneﬁts including medical, dental, vision, short/long term disability and life beneﬁts
</div><div>Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages
</div><div>Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health
</div><div>Domestic and International space-available flight privileges for employees and eligible family members
</div><div>Career development programs to achieve your long-term career goals
</div><div>World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint
</div><div>Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies
</div><div>Recognition rewards and awards through the platform Unstoppable Together
</div><div>Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare
</div></div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>What you need to succeed (minimum qualifications)</b></h3>
</div></div><div><p>Master&rsquo;s degree in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related field, and six years of experience in operations research optimization. In the alternative, will accept PhD degree in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related field, and two years of experience in operations research optimization.</p>
<p></p><ul><li>Must have work experience in the following:</li>
<li>Designing, developing, and implementing optimization tools</li>
<li>Programming using C++ or Python</li>
<li>Commercial optimization solvers including CPLEX, Gurobi, or Xpress</li>
<li>Algebraic modeling</li>
<li>GIT and DevOps</li>
</ul></div></div></div><p></p><div><div><div><div><h3 class="jobSectionHeader"><b>What will give you a competitive edge (preferred qualifications)</b></h3>
</div></div><div><div>.</div></div></div></div></div><div></div>

Senior Data Scientist

Prestige Staffing

<div>
 <strong>
  Senior Data Analyst &ndash; Forecasting &amp; Yield Optimization
  <br/>
  <br/>
 </strong>
 <strong>
  Pay
  <br/>
  <br/>
 </strong>
 $125,000 - $160,000 annually, dependent on experience and location
 <br/>
 <br/>
 <strong>
  Location
  <br/>
  <br/>
 </strong>
 New York City, or Atlanta
 <br/>
 <br/>
 <strong>
  Summary
  <br/>
  <br/>
 </strong>
 We are seeking an experienced Senior Data Analyst with 5&ndash;8 years of expertise in forecasting and yield management to develop models that maximize performance across our publisher network. This role involves predicting attribution outcomes, optimizing inventory yield, and delivering actionable insights through advanced analytics and visualization tools. The ideal candidate will collaborate with cross-functional teams to embed models into the platform, contributing directly to revenue growth and operational efficiency in the hospitality and travel adtech space.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5&ndash;8 years of professional experience in data science, forecasting, or yield management
  </li>
  <li>
   Expertise in time series forecasting techniques (ARIMA, Prophet, Neural Networks) and optimization algorithms
  </li>
  <li>
   Proficiency in SQL, Python and/or R for data analysis and modeling
  </li>
  <li>
   Experience integrating large datasets from multiple sources, including attribution and performance metrics
  </li>
  <li>
   Strong communication skills to translate technical outcomes into business impact
  </li>
  <li>
   Ability to partner effectively with product, engineering, and business teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and refine forecasting models to predict attribution outcomes by hotel, publisher, and time period
  </li>
  <li>
   Build yield optimization frameworks to allocate publisher inventory efficiently and maximize client ROI
  </li>
  <li>
   Integrate data from attribution, publisher metrics, seasonality, and external signals for comprehensive analysis
  </li>
  <li>
   Deliver reporting and insights to guide decision-making across teams
  </li>
  <li>
   Create dashboards and visualizations to present data findings clearly to non-technical stakeholders
  </li>
  <li>
   Collaborate with product and engineering teams to embed models into the platform for scalable deployment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and equity options
  </li>
  <li>
   Comprehensive medical, dental, and disability insurance
  </li>
  <li>
   401(k) match up to 4%
  </li>
  <li>
   Hybrid work environment with flexible scheduling
  </li>
  <li>
   15 personal days plus 10+ public holidays
  </li>
  <li>
   Monthly health and wellness stipend
  </li>
  <li>
   Casual, collaborative, and dog-friendly office culture in the heart of Flatiron or remote work options
   <br/>
   <br/>
  </li>
 </ul>
 #Dice #ZR-Pro
 <br/>
 <br/>
</div>


Sr Data Analyst

CharterUP

<div>
 <strong>
  About CharterUP.
 </strong>
 CharterUP is transforming the $450+ billion group transportation and mobility market with an AI native platform that powers modern charter, shuttle, and emerging autonomous vehicle operations. Trusted by many Fortune 500 companies, CharterUP connects enterprises, institutions, and event organizers to thousands of bus operators nationwide, while increasingly serving as the operating system for large scale shuttle and transit programs across airports, campuses, industrial sites, and major events.
 <br/>
 <br/>
 Through real time availability, transparent pricing, intelligent routing, and AI driven dispatch and optimization, CharterUP replaces a fragmented and opaque industry with automation, accountability, and scale.
 <br/>
 <br/>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Innovative Impact: Be part of the team that's revolutionizing group travel, setting new standards in an industry overdue for change.
  </li>
  <li>
   Growth Opportunities: As a hyper growth company and one of the fastest-growing companies recognized by Inc., there&rsquo;s no better time to join our dynamic, growth-stage organization.
  </li>
  <li>
   Driven Team: Collaborate with some of the most driven minds in tech, all while working in a remote-first environment with a tech hub in Austin, TX.
  </li>
  <li>
   Funding and Stability: Our $60 million Series A funding was just the start&mdash;we&rsquo;re poised for even greater expansion, and you can be part of this exciting journey. CharterUp has achieved this growth profitability and efficiently, ensuring long-term stability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Title:
 </strong>
 Data Analyst
 <br/>
 <br/>
 <strong>
  Reports to:
 </strong>
 Head of Business Intelligence, Finance and Accounting
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Austin, TX. (Hybrid: Monday, Wednesday, Friday in-office); Open to considering Atlanta, GA or Denver, CO.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 CharterUP is seeking an early career
 <strong>
  Data Analyst
 </strong>
 to join our Finance BI team, someone eager to tackle data challenges and assist in meeting the reporting and analytics needs of teams throughout the organization. This role&rsquo;s deliverables will have a high impact, with visibility to leadership.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collect, clean, and organize large datasets from multiple sources (e.g., databases, APIs, spreadsheets) for both one-off data requests and recurring reports.
  </li>
  <li>
   Perform data analysis to identify trends, patterns, and insights that will guide business strategy and decision-making.
  </li>
  <li>
   Develop and maintain dashboards and reports to track key business metrics.
  </li>
  <li>
   Collaborate with cross-functional teams to support data-driven projects and initiatives.
  </li>
  <li>
   Conduct statistical analysis and model data to predict future trends and performance.
  </li>
  <li>
   Present findings, recommendations, and insights in a clear and concise manner to non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience And Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s and Master's degrees. Masters must be in one of the following fields: Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering
  </li>
  <li>
   1+ years industry experience as Data Analyst
  </li>
  <li>
   Proficiency in SQL, Python or equivalent
  </li>
  <li>
   Proficiency in Excel/Google Sheets
  </li>
  <li>
   Strong knowledge of data visualization tools like Tableau, Power BI, or similar platforms is a plus.
  </li>
  <li>
   Familiarity with any of the following is a plus: Redshift or Snowflake, dbt, Fivetran, Salesforce and tools like 6sense.
  </li>
  <li>
   Experience with data manipulation, cleaning, and transformation techniques.
  </li>
  <li>
   Strong communication skills with the ability to present data insights to diverse audiences.
  </li>
  <li>
   Ability to work independently and manage multiple tasks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Recruiting Process
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Step 1 - Wonderlic Assessment
  </li>
  <li>
   Step 2 - Video call: Talent Acquisition interview
  </li>
  <li>
   Step 3 - Video call: Interview with Head of BI - Finance
  </li>
  <li>
   Step 4 - Video call: Team interview
  </li>
  <li>
   Step 5 - Video call: Final Interview with CFO
  </li>
  <li>
   Step 6 - Offer &amp; Background check
  </li>
  <li>
   Welcome aboard!
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   $70,000 - $75,000 base salary
  </li>
  <li>
   Comprehensive benefits package, including fully subsidized medical benefits for the employee
  </li>
  <li>
   401(k) plan
   <br/>
   <br/>
  </li>
 </ul>
 Salary: $70,000 USD - $75,000 USD
 <br/>
 <br/>
 Global Benefits &amp; Perks at CharterUP
 <br/>
 <br/>
 We believe great people can live anywhere&mdash;and they deserve great benefits, too. While offerings may vary slightly by location, we prioritize hiring near our hubs in Austin, Atlanta, Miami, and Denver as we grow our global team.
 <br/>
 <br/>
 <ul>
  <li>
   Flexible Work Model: CharterUP operates as a remote-first company, with select roles requiring regular, in-office presence based on team and business needs. Role-specific expectations will be shared during the hiring process. U.S.-based employees may reside in any of our 19 approved states.
  </li>
  <li>
   Comprehensive Health &amp; Wellness: Medical, dental, and vision insurance, mental health support, virtual care, gym discounts, and family-building benefits. In the U.S., we cover 100% of premiums for employees. International benefits align with local standards.
  </li>
  <li>
   Time Off to Recharge: Paid time off so you can truly unplug. U.S.: 15 PTO days (increasing to 20 after 2 years) + 8 paid holidays. International policies vary by country.
  </li>
  <li>
   Financial Peace of Mind: Company-paid life, short-term, and long-term disability insurance where available.
  </li>
  <li>
   Performance-Driven Culture: Join a fast-moving, ambitious, and collaborative team that wins together.
  </li>
  <li>
   Referral Rewards: Earn bonuses for bringing top talent to the team.
  </li>
  <li>
   Planning for the Future: Long-term financial planning support. U.S.: 401(k) plan. International: region-specific savings programs where applicable.
  </li>
  <li>
   Top-Tier Tech: Choose a Mac or PC, plus monitor, keyboard, and mouse to hit the ground running.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   CharterUP is an Equal Opportunity Employer.
  </em>
 </strong>
 <em>
  We are committed to creating an inclusive, accessible, and respectful workplace. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, ancestry, disability, medical condition, marital status, veteran status, or any other protected characteristic in accordance with applicable federal, state, and local laws in the United States and Canada. If you require accommodation during the recruitment process, please let us know. CharterUP is committed to providing reasonable accommodations during the hiring process. If you need assistance or an accommodation, please contact your recruiter.
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   Hiring Locations:
  </strong>
  CharterUP U.S.-based candidates and employees must reside in one of the following states: Arizona, California, Colorado, Florida, Georgia, Hawaii, Mississippi, Missouri, North Carolina, New Hampshire, Nevada, New York, Oklahoma, South Dakota, Tennessee, Texas, Utah, Washington, and Wyoming.
  <br/>
  <br/>
 </em>
 We hire in the U.S. and Canada and are actively expanding our global footprint.
</div>


Data Analyst

Booz Allen Hamilton

<div><p><b>The Opportunity:
</b></p><p>As an experience d engineer, you know that machine learning ( ML ) and AI evaluation are critical to understanding and operationalizing massive datasets in support of public health and safety missions. Your ability to evaluate, optimize, and deploy AI-driven systems makes you an integral part of delivering mission-focused solutions for scientists, analysts, and leadership teams.</p>
<p></p><p>In this role, you&rsquo;ll help define and implement scientific AI evaluation and enablement initiatives by translating advanced AI capabilities into practical, mission-specific workflows. You&rsquo;ll collaborate with a large community of ML engineers, data scientists, architects, and product teams to design scalable ML and Generative AI solutions, including AI agents, retrieval-augmented generation ( RAG ) pipelines, and enterprise AI evaluation frameworks.</p>
<p></p><p>You&rsquo;ll apply technical expertise across AI evaluation, retrieval optimization, memory and state management, and AI agent architecture to support real-time insights and decision-making. Your work will also contribute to enterprise MLOps capabilities, data governance standards, and ethical AI practices within regulated public health environments. This position is located in Atlanta, GA.</p>
<p></p><p><b>What You'll Work On:
</b></p><ul><li>Build and maintain scalable data pipelines using PySpark and Palantir Foundry to support AI, analytics, and scientific evaluation workflows.</li>
<li>Design and implement ML and Generative AI workflows, including AI agents, RAG pipelines, and AI evaluation frameworks.</li>
<li>Integrate advanced AI technologies such as Codex and Claude, to support mission-specific workflows, real-time insights, and decision-making capabilities.</li>
<li>Develop evaluation strategies covering model quality, retrieval optimization, benchmarking, and performance monitoring for deployed AI systems.</li>
<li>Design AI architectures supporting memory, state management, structured and unstructured public health data interaction, and scalable agent orchestration.</li>
<li>Establish data governance, privacy, anonymization, documentation, and ethical AI standards across AI / ML systems and public health data environments.</li>
</ul><p></p><p>Join us. The world can&rsquo;t wait.</p>
<p></p><p><b>You Have:
</b></p><ul><li>5+ years of experience with Generative AI, LLMs, AI agents, or RAG applications, and designing, developing, and deploying ML models and AI solutions using Python</li>
<li>3+ years of experience with AI agents and AI evaluation strategies in enterprise environments</li>
<li>2+ years of experience with Deep Research evaluation met hodologies and AI evaluation workflows</li>
<li>Experience with ML frameworks such as TensorFlow or PyTorch, for production-grade model development</li>
<li>Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li>
<li>Experience with MLOps platforms such as MLflow and cloud environments, including Azure</li>
<li>Knowledge of public health, healthcare, or government data systems and asso cia ted governance practices</li>
<li>Ability to design and optimize AI systems involving retrieval workflows, memory or state management, and real-time decision-support capabilities</li>
<li>Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
</li><li>Bachelor's degree in CS, Engineering, or Data Science</li>
</ul><p></p><p><b>Nice If You Have:
</b></p><ul><li>Experience working in healthcare, biomedical, or government public health AI / ML environments</li>
<li>Experience with conversational AI, chatbot systems, or full-stack AI application development</li>
<li>Experience with containerization, CI / CD, orchestration, and production MLOps pipelines</li>
<li>Experience with Agile delivery environments and tools such as Jira</li>
<li>Experience writing technical documentation and presenting AI / ML solutions to various audiences</li>
<li>Experience integrating enterprise AI tools such as Codex, Claude, or similar AI enablement platforms</li>
<li>Knowledge of enterprise AI governance, compliance, and ethical AI frameworks</li>
<li>Knowledge of AI systems for retrieval, ranking, and scientific evaluation use cases</li>
<li>Ability to collaborate effectively in matrixed, cross-functional organizations</li>
<li>Master's degree in CS, Data Science, ML, or a related field</li>
</ul><p></p><p><b>Vetting:</b>
</p><p>Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .</p>
<p></p><p><b>Compensation
</b></p><p>At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p>
<p></p>Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
<p></p><p><b>Identity Statement
</b></p><p>As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p>
<p></p><p><b>Candidate AI Usage Policy
</b></p><p>AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided </b>.</p>
<p></p><p><b>Work Model
</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p>
<ul><li><p><b>Remote </b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p>
</li><li><p><b>Hybrid </b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p>
</li><li><p><b>Onsite </b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p>
</li></ul><p></p><p><b>Commitment to Non-Discrimination
</b></p><p>All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

AL/ML Evaluation Engineer

<div>AL/ML Engineer, Lead<p><b>
The Opportunity:</b></p><p>
As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support public health and safety. As an ML engineer on our team, you&rsquo;ll train, test, deploy, and maintain models that learn from data.</p><p></p><p>
In this role, you&rsquo;ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You&rsquo;ll be part of a large community of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, enterprise architects, and product owners to deliver world-class solutions. You&rsquo;ll help design and develop enterprise ML operations frameworks, support mentorship and training initiatives, process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and systems.</p><p></p><p>
Your advanced skills and technical expertise will guide clients as they navigate the evolving landscape of ML, Generative AI, AI agents, and retrieval-augmented generation (RAG) technologies. This position is located in Atlanta, GA.</p><p></p><p><b>
What You'll Work On:</b></p><ul><li>
Build and maintain complex data pipelines using PySpark and Palantir Foundry to support AI and analytical workloads.</li><li>
Design and implement ML workflows, including Generative AI, AI agents, MCP-enabled systems, and RAG pipelines for public health use cases.</li><li>
Develop robust AI evaluation strategies to ensure the quality, reliability, and performance of deployed AI solutions.</li><li>
Design AI architectures supporting agent memory, state management, retrieval optimization, and interaction with structured and unstructured public health data.</li><li>
Collaborate with cross-functional teams to translate mission requirements into scalable AI/ML solutions while maintaining technical documentation and governance standards.</li><li>
Define and enforce data quality, privacy, anonymization, auditing, and ethical AI standards in compliance with public health and government requirements.</li></ul><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li>
5+ years of experience designing, developing, and deploying ML models and AI solutions using Python</li><li>
5+ years of experience with Generative AI, LLMs, AI agents, or RAG applications in enterprise environments</li><li>
Experience developing AI evaluation strategies and working with MCP-enabled systems</li><li>
Experience with ML frameworks and libraries such as TensorFlow or PyTorch</li><li>
Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li><li>
Experience with Prompt Buddy, Codex, Claude, or OpenEvidence in enterprise environments</li><li>
Experience deploying ML solutions at scale using MLOps tools such as MLflow, and cloud platforms such as Azure, Databricks, or Domino</li><li>
Ability to implement AI agent architectures, retrieval optimization, and memory or state management workflows</li><li>
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements</li><li>
Bachelor's degree in CS, Engineering, or Data Science</li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li>
Experience with open-source LLMs such as LLaMA, Gemma, or Phi</li><li>
Experience in deep learning, NLP, conversational AI, or computer vision</li><li>
Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government public health data systems</li><li>
Experience with chatbot development or end-to-end AI application deployment</li><li>
Experience with containerization, orchestration, CI/CD, and full-stack ML application deployment</li><li>
Experience working in Agile environments using tools such as Jira</li><li>
Experience writing technical documentation and presenting technical solutions to broad audiences</li><li>
Ability to collaborate effectively in matrixed environments with cross-functional stakeholders</li><li>
Master&rsquo;s degree</li></ul><p></p><p><b>
Vetting:</b>
</p><p>Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Candidate AI Usage Policy</b></p><p>
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided</b>.
</p><p></p><p><b>Work Model</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p><ul><li><p><b>
Remote</b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p></li><li><p><b>
Hybrid</b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p></li><li><p><b>
Onsite</b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p></li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

AL/ML Engineer, Lead

Atlanta Community Food Bank

<div><p>This position works a hybrid schedule at our east point location<br>
<b>Who</b> <b>We Are:</b></p><p>
The Atlanta Community Food Bank is committed to ending hunger in our community by leveraging food, dedicated people, and innovative solutions to ensure that no one has to worry about their next meal. Since 1979, we&rsquo;ve provided vital resources to a growing network of nonprofit partners, including food pantries, community kitchens, childcare centers, night shelters, and senior centers. Today, we proudly serve over 700 partners across 29 counties in metro Atlanta and north Georgia, working together to create a hunger-free future.</p><p><b>
Where</b> <b>You&rsquo;ll</b> <b>Work:</b></p><p>
Business Intelligence and Analytics / Information &amp; Technology
</p><p><b>About the Role:</b></p><p>
As the Senior Manager, Data Products &amp; Analytics, you'll lead the strategy, development, and delivery of data products that help the Atlanta Community Food Bank make smarter decisions and increase our impact across Georgia. In this role, you'll partner with leaders across the organization to transform complex data into meaningful insights, modernize our analytics capabilities, and build scalable solutions that empower teams to make informed decisions. You'll also help advance the responsible use of artificial intelligence and emerging technologies, identifying opportunities to apply these capabilities to improve decision-making, increase efficiency, and extend the impact of our work.</p><p>
You'll lead a team responsible for delivering trusted data, meaningful insights, and innovative analytics solutions that support the Food Bank's strategic priorities. By partnering with teams across the organization, you'll help transform data into actionable information that improves operations, strengthens decision-making, and advances our mission to end hunger.</p><p><b>
What</b> <b>You&rsquo;ll</b> <b>Do:</b></p><p><b>
 Execute Data Strategy:</b></p><br>
<ul><li>
Lead or co-lead workstreams in the development and maintenance of the Food Bank&rsquo;s data systems, including a data lakehouse analytics environment. Ensure data is organized, accessible, and optimized for analysis and reporting in alignment with organizational goals.</li><li>
Design and manage semantic models that unify business definitions, enable consistent reporting, and support governed self-service analytics across the organization.</li><li>
Develop and optimize DAX calculations (measures, time intelligence, row-level security) to deliver accurate, performant insights for dashboards, scorecards, and ad-hoc analysis.</li><li>
Facilitate data governance initiatives by engaging stakeholders across domains to define metrics, maintain data quality, and align on standards and access controls.</li><li>
Partner with the Information Architect to advance the Food Bank&rsquo;s enterprise data platform, including data architecture, integrations, governance, and semantic modeling capabilities.
</li><li>Collaborate with the Information Architect to ensure data products and analytics solutions align with enterprise architecture standards and long-term technology strategy.
</li><li>Lead the maturation of ACFB's data product operating model, establishing domain ownership, shared governance, and self-service analytics capabilities that align with data mesh principles.
 </li></ul><p><b>Data Products:</b></p><ul><li>
Oversee the development and lifecycle management of data products that support ACFB processes, decisions, and strategic priorities.
</li><li>Manage solutions built in Power BI, Azure, Power Platform, and Microsoft Fabric, ensuring clear documentation, stakeholder alignment, and actionable design.
</li><li>Oversee the administration and adoption of the PolicyMap environment, ensuring stakeholders have access to geographic, demographic, and community data that informs strategic decision-making and program effectiveness.
</li><li>Identify and implement automation opportunities using low-code tools, cloud services, and scripting to increase efficiency and reduce manual work.</li></ul><p><b>
 Analytics:</b></p><ul><li>
Perform and oversee analyses that explore data in business context, applying statistical techniques, performance metrics, and visualization to uncover insights.</li><li>
Lead performance management reporting and help stakeholders track key KPIs and operational benchmarks.
</li><li>Promote strong problem-solving frameworks, incorporating both exploratory analysis and structured diagnostic approaches.</li><li>
Communicate complex findings to diverse audiences through compelling storytelling, strong visualization, and consultative dialogue.</li><li>
Build trusted relationships across Food Bank departments, fostering a culture of curiosity, data fluency, and continuous improvement.
</li></ul><p><b>Leads a Successful Team:</b></p><ul><li>
Execute department strategy by translating goals and initiatives into actionable plans for the team.</li><li>
Lead, coach, and develop a high performing team of data analysts. Ensure team members are productive, engaged, and meet performance expectations.</li><li>
Provide hands-on support to team members, guiding them through challenges and offering real-time coaching and feedback.</li><li>
Monitor and evaluate team performance, implementing improvement plans and ensuring adherence to organizational standards.</li><li>
Facilitate communication between staff and upper management, ensuring clarity on expectations, priorities, and progress.</li><li>
Support hiring, onboarding, and training of new team members, ensuring they are equipped to perform their roles effectively.</li><li>
Foster a positive team environment, promoting collaboration, accountability, and strong morale within the department.
</li><li>Track and report team metrics to department leadership, identifying areas for improvement and success in meeting goals.</li></ul><p><b>
Key Competencies we look for in All our Food Bankers are:</b></p><ul><li>
Customer Focus</li><li>
Decision Making</li><li>
Accountability</li><li>
The Ability to Navigate Change</li></ul><p>
If you&rsquo;re excited about this role and can clearly demonstrate these and the other skills named below, we encourage you to apply. You may be just the right candidate for this or other roles!</p><p><b>
 Skills</b> <b>your resume should</b> <b>demonstrate:</b></p><ul><li>
Demonstrated experience in analytics, data strategy, computer science or business intelligence.
</li><li>Strong command of Microsoft Azure ecosystem (Data Factory, Integration Services, Synapse, Fabric).</li><li>
Familiarity with supply chain or distribution business environments
</li><li>Demonstrated experience developing Power BI reports, managing semantic models, and automating data workflows.</li><li>
Working knowledge of geospatial tools such as ArcGIS and their integration into business intelligence use cases.
</li><li>Proven ability to translate business needs into scalable data solutions and insights.</li><li>
Excellent communication, facilitation, and relationship-building skills.</li><li>
Possess good working knowledge with Python, SQL, and PowerApps
</li><li>Team leadership or mentoring experience.</li></ul><p><b>
There may be some Physical Demands and Travel:</b></p><p>
The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><ul><li>
Employee is routinely required to lift 25 lbs.</li><li>
Expected local travel time for this position is up to 10% per year</li></ul></div>

Senior Manager, Data Products & Analytics

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