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associate applied data scientist

associate data analyst

associate data scientist decision analytics

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 position is in Decision Analytics, an internal data science support team for many areas of the business; this role specifically is involved in supporting sales growth and profitability initiatives with Customer, Delivery, and Finance areas of data. 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/></p><p>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/></p><p>This position reports to manager or above<br/>This position has 0 direct reports<br/></p><p>Travel Requirements:<br/></p><p>No travel required.<br/></p><p>Physical Requirements:<br/></p><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.<br/></p><p>Working Conditions:<br/></p><p>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/></p><p>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/></p><p>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/></p><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.<br/></p><p>Preferred Education:<br/></p><p>No additional education<br/></p><p>Minimum Years of Work Experience:<br/></p><p>0<br/></p><p>Preferred Years of Work Experience:<br/></p><p>No additional years of experience<br/></p><p>Minimum Leadership Experience:<br/></p><p>None<br/></p><p>Preferred Leadership Experience:<br/></p><p>None<br/></p><p>Certifications:<br/></p><p>None<br/></p><p>Competencies:<br/></p><p>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

<p>Position Purpose:<br/></p><p>Decision Analytics associates produce insights that answer key enterprise questions around budget, priorities, courses of action, and important decisions. They develop frameworks for analysis by identifying the right metrics for consistent, effective insights that drive business outcomes. Decision Analytics associates are skilled in advanced analytics and analytical tools and languages such as GCP Big Query, Python, R, SQL, Jupyter Notebook, Adobe Analytics, and Tableau. While they may have the ability to support model development and AI/ML work, they are primarily focused on internal business insights (i.e., business intelligence). Decision Analytics associates possess the domain expertise to understand the businesses they support with their analysis.<br/></p><p>Senior Decision Analysts assist in the development of advanced analytics to support the company's strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical tools, and collaborating with cross- functional teams to deliver high quality analytical solutions for The Home Depot. The Senior Decision Analyst monitors transformation of data and works with appropriate technology teams to resolve issues relating to incorrect mapping, business rules, and data deviations. This role is expected to leverage effective communication skills to translate complex analyses into understandable insights for business clients, internal teams and key decision makers.<br/></p><p>The role will be enabling scaling of AB testing platform so they must have that prior experience. Solid understanding of statistics and methodologies, familiarity with Central Limit Theorem and Hypothesis Testing is ideal (z-test, t-test, chi sq testing, ANOVA etc.,) The senior analyst will be regularly exploring new methods such as Non-Parametric Testing, bootstrap methods that elevate our platform. Explore new technical landscape in the world of Experimentation and bring it to the fold for Home Depot<br/></p><p>Key Responsibilities:<br/></p><p>65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.<br/>10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.<br/>5% - Project Management &amp; Support - Supports end users, solve problems and troubleshoots numerous issues.<br/>15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.<br/>5% - Technical Exploration &amp; Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures.<br/></p><p>Direct Manager/Direct Reports:<br/></p><p>This position reports to the Manager<br/>This position has 0 direct reports<br/></p><p>Travel Requirements:<br/></p><p>No travel required.<br/></p><p>Physical Requirements:<br/></p><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.<br/></p><p>Working Conditions:<br/></p><p>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/></p><p>Must be 18 years of age or older.<br/>Must be legally permitted to work in the United States.<br/></p><p>Preferred Qualifications:<br/></p><p>Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience<br/>Understanding of the central limit theorem and hypothesis testing.<br/>6+ years of experience in in data mining, statistical analysis, auditing, and/or forecasting<br/>Demonstrated expertise on data analysis and data visualization<br/>Demonstrated expertise on how to translate analysis into effective presentations<br/>Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems<br/>Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools<br/>Working knowledge of Microsoft Excel and Power Point<br/>Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations<br/>Produce deep, statistical analysis in service of predictive insights<br/>Ability to partner with requesting organizations to build KPI frameworks<br/>Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML<br/>Ability to visualize data using Tableau<br/>Experience managing multiple projects and working in a fast-paced environment<br/>Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.<br/>Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.<br/>Superior interpersonal skills and ability to collaborate actively and work in a team environment.<br/>Ability to quickly learn and adapt to new technologies, tools, and techniques.<br/></p><p>Minimum Education:<br/></p><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.<br/></p><p>Preferred Education:<br/></p><p>The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.<br/></p><p>Minimum Years of Work Experience:<br/></p><p>5<br/></p><p>Preferred Years of Work Experience:<br/></p><p>6<br/></p><p>Minimum Leadership Experience:<br/></p><p>No previous leadership experience<br/></p><p>Preferred Leadership Experience:<br/></p><p>No previous leadership experience<br/></p><p>Certifications:<br/></p><p>None<br/></p><p>Competencies:<br/></p><p>Action Oriented<br/>Collaborates<br/>Drives Engagement<br/>Communicates Effectively<br/>Customer Focus<br/>Drives Results<br/>Manages Conflict<br/></p>

Sr. Decision Analyst, Experimentation

Capgemini

<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><h2 class="jobSectionHeader"><b>Job Location : Cary, NC (Onsite/Hybrid from Day 1)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><p>We are seeking an experienced <b>Data Scientist</b> to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
</div><div><ul><li>Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.</li>
<li>Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.</li>
<li>Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.</li>
<li>Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.</li>
<li>Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.</li>
<li>Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.</li>
<li>Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.</li>
<li>Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.</li>
<li>Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.</li>
<li>Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.</li>
<li>Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.</li>
<li>Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
</div><div><ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.</li>
<li>8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.</li>
<li>5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.</li>
<li>Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.</li>
<li>Strong experience developing Machine Learning models using Python, preferably in cloud environments.</li>
<li>Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.</li>
<li>Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).</li>
<li>Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.</li>
<li>Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.</li>
<li>Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.</li>
<li>Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
</div><div><ul><li>Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.</li>
<li>Experience implementing MLOps and model lifecycle management practices in cloud environments.</li>
<li>Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.</li>
<li>Experience working within highly regulated environments such as Insurance or Financial Services.</li>
</ul></div></div></div><p>The base compensation range for this role in the posted location is: 85786- 97273</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><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> 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><b>Important Notice:</b> 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><b>Disclaimers</b></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>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></div></div></div></div>

Data Scientist

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

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
As a Data Engineer, you will partner with Business Intelligence Engineers and partner teams to build data pipelines and solutions to harness the vast amount of operational data from the AWS fleet. You will own the timely delivery of such data for use in downstream business intelligence solutions, as well as all necessary actions to ensure the reliability of data provided for business decision making. Data analysis is at the core Amazon&rsquo;s culture, and your work will have a direct impact on decision making and strategy for our organization.<br>
<br>
The ideal candidates will have excellent analytical abilities, curiosity, and strong technical skills. They will have a strong bias toward data driven decision making, and building scalable data pipelines and systems to facilitate such decision making. They will be a self-starter; comfortable with ambiguity; able to think big and be creative, while exercising strong judgment and good instincts to be right a lot. The ideal candidate is motivated by delivering high-quality and innovative solutions within timeframes that most think are impossible. If you are excited about using data to look around corners and drive engineering solutions that are the foundation of AWS data centers, this role is for you!<br>
<br>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
Key job responsibilities<br>
Collaborate with Business Intelligence Engineering team members, engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into a robust, scalable, and operable data infrastructure that works well within the overall AWS data architecture, and leads to improved engineering decisions.<br>
<br>
Develop a deep understanding and awareness of operational data from the AWS fleet, and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions.<br>
<br>
Develop a deep understanding of our vast data sources, and provide continuous recommendations for use to solve specific business problems.<br>
<br>
Take ownership of data reliability by, among other things, performing deep-dives to find root causes of potential data anomalies, and taking subsequent action to address these anomalies.<br>
<br>
Continuously optimize the performance of data queries, and address extract, transform, load (ETL) procedures.<br>
<br>
Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, GA, Atlanta - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer, Data Center Engineering, Data Center Engineering Analytics

Blu Omega LLC

<div><div><b>Senior Data Engineer</b><br>
<b>Atlanta, GA / Hybrid</b><br>
<b>Clearance Level and/or eligibility Required</b><br>
</div><div>Blu Omega is seeking a Senior Data Engineer to support a federal program focused on data management and transformation. This role operates within a government environment and is responsible for designing and maintaining scalable data pipelines, data architecture, and infrastructure to support analytics and data science initiatives. The position requires extensive experience supporting data ecosystems, with a focus on providing analysis-ready solutions to inform leadership decisions.<br>
</div><div><b>Program Overview</b><br>
<b>Mission overview:</b> Supporting large-scale data modernization efforts within a government health agency.</div>
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<b>Key Details</b><br>
<b>Location:</b> Atlanta, GA / Hybrid<br>
<b>Clearance:</b> Public Trust Eligibility<br>
<b>Work Authorization:</b> U.S. Citizenship or Permanent Residency is required as a precondition of employment.<br>
<b>Schedule: </b>Standard business hours; onsite 1-2 days per week</div>
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<b>Responsibilities</b></div>
<ul><li>Design, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL
</li><li>Build, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)
</li><li>Develop processes for ingesting, cleaning, validating, and transforming large-scale datasets from APIs, relational sources, and unstructured systems
</li><li>Implement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows
</li><li>Collaborate with cloud engineering teams to deploy and manage data solutions on Azure
</li><li>Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices
</li><li>Document data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability
</li></ul><div><b>Required Qualifications</b></div>
<ul><li>8+ years of experience in data engineering, software engineering, or database architecture
</li><li>6+ years of experience in Python and SQL with experience building scalable ETL/ELT pipelines
</li><li>2+ years of experience with cloud data ecosystems like Azure Data Factory
</li><li>1+ years of experience with modern data processing frameworks like Databricks
</li><li>Experience integrating and transforming data from diverse formats and systems (APIs, flat files, relational sources)
</li><li>Knowledge of relational and NoSQL databases, data modeling, and schema design
</li><li>Knowledge of data governance, security, and compliance principles for enterprise data environments
</li></ul><div><b>Preferred Qualifications</b></div>
<ul><li>Experience supporting key data engineering efforts in a government environment
</li><li>Experience collaborating with data scientists and analysts to define data models
</li><li>Knowledge of IT infrastructure practices and data access methodologies
</li><li>Knowledge of advanced data security practices, governance policies, and compliance frameworks
</li><li>Azure Data Engineer Associate certification
</li></ul><div><b>Compensation</b><br>
Salary Range: $150,000.00 - $165,000.00<br>
<i>Final compensation is based on technical skills, experience, education, certifications, and clearance.</i><br>
</div><div><b>Blu Omega Benefits &amp; Perks</b></div>
<ul><li>Medical, Dental, and Vision coverage through national providers
</li><li>401(k) with company match (eligible after 6 months; vesting applies)
</li><li>Company-paid Life and AD&amp;D insurance with additional voluntary options
</li><li>Short-term disability (company-paid) and long-term disability options
</li><li>Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
</li><li>Telehealth and virtual care options available through medical plans
</li><li>Pet insurance, legal services, and identity theft protection options
</li><li>Paid Time Off (PTO) for eligible employees
</li><li>Paid federal holidays for salaried employees
</li><li>Access to wellness programs, discounts, and lifestyle benefits
</li><li>Benefits eligibility and offerings may vary based on role, employment status, and program requirements.
</li></ul><div><b>Company Overview</b><br>
Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments.<br>
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We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data and analytics, and enterprise IT support. Our teams are experienced operating within federal contracting environments, supporting task orders, recompetes, and programs requiring cleared personnel and compliant delivery.<br>
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<b>Equal Opportunity Employer</b><br>
<i>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.</i><br>
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<i>#CJ #LI-Hybrid</i></div></div>

Senior Data Engineer (s)

Emory University

<div>Discover Your Career at Emory University: 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. Description:
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Join one of the nation&rsquo;s premier non-human primate (NHP) veterinary programs and build your career in primate medicine and research at the Emory National Biomedical Research Center (ENBRC). ENBRC is seeking applicants for a faculty-equivalent position as an Assistant Vet Scientist (Clinical Veterinarian) to join our team in the Division of Animal Resources. This is an outstanding opportunity to join a nationally recognized program in laboratory animal medicine and research, working with nonhuman primates and rodents. The successful candidate will become part of a collaborative team of twelve veterinarians dedicated to advancing animal welfare, supporting innovative biomedical research, and providing exceptional clinical care for a large and diverse nonhuman primate colony.</div><div></div><div><br>
ENBRC is an internationally recognized biomedical research center with facilities located on Emory University's Atlanta campus and at its 117-acre Field Station in Lawrenceville, Georgia. The position is based at the Main Station on the Atlanta campus and offers opportunities to collaborate with colleagues across both locations.</div><div></div><div><br>
The Division of Animal Resources supports a broad portfolio of research programs in immunology, infectious diseases, neuroscience, behavioral sciences, transplant medicine, imaging, and other areas of translational biomedical research. The Assistant Vet Scientist will play a central role in ensuring the highest standards of animal health, welfare, and research support while working closely with investigators, veterinary colleagues, and animal care staff.</div><div></div><div><b><br>
About ENBRC</b></div><div>
Collaborate. Innovate. Serve. These three simple words capture what we do at the Emory National Biomedical Research Center, Emory University to help advance science and improve the health and well-being of humans and non-human primates.</div><div><br>
</div><div>As one of the nation's seven National Primate Research Centers, ENBRC provides a unique environment for veterinarians seeking to practice advanced laboratory animal medicine while contributing to discoveries that improve human and animal health. Faculty work alongside internationally recognized scientists and clinicians in a highly collaborative, multidisciplinary environment that values innovation, excellence, and continuous learning.</div><div></div><div><br>
Dedicated to discovering causes, preventions, treatments, and cures of disease, ENBRC is improving human and animal health and lives worldwide. One of seven NPRCs funded by the NIH, ENBRC conducts studies that make breakthrough discoveries possible. Learn more at https://enbrc.emory.edu/.</div><div></div><div><br>
KEY RESPONSIBILITIES:
</div><ul><li>Under minimal supervision, provides a wide and comprehensive range of clinical, preventative, and emergency veterinary care for nonhuman primates and laboratory rodents, with a primary emphasis on nonhuman primate medicine. Such care will include clinical services to a variety of species.</li><li>
Areas of possible oversight include managed breeding and clinical, surgical, and anesthesia services.</li><li>
Supports research programs through clinical consultation, veterinary oversight, and collaboration with investigators.</li><li>
Participates in protocol review and regulatory compliance for university committees and activities impacting animal resources (e.g., the IACUC, chemical, radiation, and biosafety committees).
</li><li>Teaching responsibilities include the instruction of veterinary residents, veterinary technicians, animal care technicians, research staff, and other animal care personnel.</li><li>
Contributes to colony health management, behavioral management, and animal welfare initiatives.</li><li>
Participates in the planning, design, renovation, and commissioning of research animal facilities.</li><li>
Contributes to the education and mentorship of trainees in Emory's ACLAM-approved Laboratory Animal Medicine Residency Program.</li><li>
The incumbent will assist in the maintenance of proper records and the generation of reports, applications, grants, and the like.
</li><li>Expected to show scholarship and service to the university as appropriate.
</li><li>The management of direct or indirect reports may be required, and training in the supervision of others is expected.</li><li>
Demonstrated ability to function as part of a team in a team science context.</li><li>
Performs other duties, services, and responsibilities as assigned.</li></ul><div>
MINIMUM QUALIFICATIONS:
</div><ul><li>DVM or VMD degree from an AVMA-accredited college of veterinary medicine.</li><li>
2 years of experience or training in laboratory animal medicine (may include Postdoctoral Residency).</li><li>
ACLAM board eligible.</li><li>
Eligibility for veterinary licensure.</li></ul><div>
PREFERRED/DESIRED QUALIFICATIONS:</div><ul><li><div>
ACLAM board certification or eligibility is highly desirable.</div></li><li>
Licensed to practice veterinary medicine and have training or experience in laboratory animal medicine.</li><li><div>
Experience with the medical and surgical management of nonhuman primates is preferred, although candidates with strong laboratory animal medicine training and a demonstrated interest in developing expertise in nonhuman primate medicine are encouraged to apply.
</div></li><li><div>Experience in an academic or research environment is also desirable.</div></li><li>
Excellent interpersonal, communication, and collaborative skills.</li></ul><div>
WORKING ENVIRONMENT:</div><ul><li>
Work environment involves working with biohazardous blood and tissues.</li><li>
Work environment involves some exposure to hazards or physical risks, which require following basic safety precautions.</li></ul><div>
This position offers exceptional opportunities for professional growth and career development. Faculty are encouraged to develop expertise in nonhuman primate medicine, pursue collaborative and independent scholarly activities, participate in national professional organizations, and assume progressive leadership roles within the Division of Animal Resources and the broader research community. Opportunities for mentorship, continuing education, and academic advancement are integral components of the position. The Assistant Vet Scientist reports to the Chief of Clinical Operations at the Main Station and the Associate Director of Animal Resources and is a member of the integrated veterinary team serving both the Main Station and Field Station. Emory University offers a competitive salary and comprehensive benefits package.</div><div></div><div><br>
PRE-EMPLOYMENT STATEMENT:</div><div>
The Emory National Biomedical Research Center (ENBRC), 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 required to be performed in-person at an Emory University location; working remote is not an option. Emory reserves the right to change this status with notice to employee.</div>
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 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).
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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>

Assistant Vet Scientist (ENBRC) - Atlanta, GA

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