associate data engineer

data analyst

data scientist - pro

senior data analyst, solutions strategy Jobs in Atlanta

senior data analyst, solutions strategy

sr. data analyst, data quality Jobs in Atlanta

sr. data analyst, data quality

analytical data scientist

Worldpay

<div>
 
 Job Description
 
 
 
 
 Please note: Sponsorship is NOT eligible for this role including OPT. Applicants must be a US Citizen or Green Card holder.
 
 
 
 
 Are you ready to write your next chapter?
 
 
 
 Make your mark at one of the biggest names in payments. We&rsquo;re looking for a Data Scientist to join our ever evolving team and help us unleash the potential of every business.
 
 
 
 Location:
 
 Cincinnati, OH, Denver, CO, or Atlanta, GA office locations, hybrid schedule
 
 
 
 What You&rsquo;ll Own As The Data Scientist
 
 
 
 <ul>
 <li>
 Analyze and extract insights from internal and external data.
 </li>
 <li>
 Employ machine learning and statistical modeling to create and enhance data-driven products.
 </li>
 <li>
 Work with Big Data and transform complex datasets into more usable formats.
 </li>
 <li>
 Utilize a variety of data science tools and programming languages such as Python, R, and SQL.
 </li>
 <li>
 Work independently and collaborate with other groups to solve complex problems.
 </li>
 <li>
 Create and present analyses to internal and external partners and clients.
 </li>
 <li>
 Document models and write code to track and monitor models and product performance.
 </li>
 <li>
 Make pragmatic and business-aware choices when trading off sophistication and accuracy versus implementation and performance costs.
 </li>
 <li>
 Participate in project planning sessions, analyze requirements, and provide design recommendations for complex analytical systems.
 </li>
 <li>
 Other related duties as assigned.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Degree in Data Science, Statistics, Decision Sciences, Applied Mathematics, Economics, Computer Science, or an equivalent combination of education, training, and work experience.
 </li>
 <li>
 Proficient in data science tools and programming languages Python, R, and SQL
 </li>
 <li>
 Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis.
 </li>
 <li>
 Experience or knowledge of cloud-based technology.
 </li>
 <li>
 Ability to collaborate with others and solve complex problems.
 </li>
 <li>
 Outstanding verbal and written communication skills to technical and non-technical audiences at all levels.
 </li>
 <li>
 Excellent analytical, decision-making, problem-solving, team, and time management skills.
 </li>
 <li>
 Positive outlook, strong work ethic, and responsiveness to internal and external clients and contacts.
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 To learn more about our winning teams, check out our world-class teams that own it every day.
 
 
 
 What Makes a Worldpayer
 
 
 
 What makes a Worldpayer? It&rsquo;s simple: Think, Act, Win. We stay curious, always asking the right questions and finding creative solutions to simplify the complex. We&rsquo;re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we&rsquo;re determined, always staying open and winning and failing as one.
 
 
 Does this sound like you? Then you sound like a Worldpayer. Apply now to write the next chapter in your career.
 
 
 Worldpay is dedicated to offering individuals rewarding career opportunities and competitive compensation. For this full-time position, the good faith estimated annual salary range upon hire is $101,100.00-$152,550.00. This range reflects what we reasonably expect to offer based on the role&rsquo;s responsibilities, level, and geographic location. The actual starting salary will be determined by a candidate&rsquo;s experience, job-related skills, and relevant education or training. Please note that changes in work location may impact the final offered salary. We encourage you to consult with your recruiter to confirm the budget for your location and to better understand the applicable pay scale.
 
 
 
 EEOC Statement
 
 
 
 Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.
 
 
 If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.
 
 
</div>

Data Scientist

<div>Before you apply to a job, select your language preference from the options available at the top right of this page.
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow&mdash;people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
Job Description:
UPS US Marketing is looking for a talented and driven Business Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced data analysis where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders.
Responsibilities:<ul><li>
Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and statistical methods</li><li>
Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools.</li><li>
Understand and apply appropriate methods for cleaning and transforming data</li><li>
Work across multiple stake holders to develop, maintain and improve models in production</li><li>
Take the initiative to create and execute analyses in a proactive manner</li><li>
Deliver complex analytical and visualizations to broader audiences including upper management and executives</li><li>
Understand the application of advanced analytics to solve complex business problems</li></ul>
Qualifications<ul><li>
MS in a quantitative discipline and 2+ years of relevant work experience or Ph.D in a STEM field</li><li>
Proficiency in Python and SQL</li><li>
Experience in applied statistics and analytics utilizing programming languages (Ex: Python or R)</li><li>
Proficient in cloud computing using Azure and Google cloud environments</li><li>
Proficient in data concepts and transformation methods</li><li>
Effective presentation skills utilizing PowerPoint and visualization methods to explain complex concepts</li><li>
Experience in reporting and analytics using dashboards (PowerBI, Tableau, Looker, etc.)</li></ul>
Bonus Qualifications<ul><li>
Experience with pricing methodologies and revenue management</li><li>
Experience using PySpark, Azure Databricks, Google Bigquery and Vertex AI</li><li>
Creating and implementing AI and GenAI based projects</li><li>
Familiarity with Data architecture and engineering</li></ul>
Employer will not sponsor a visa for this position. Must be currently in the same geographic location as the job or willing to relocate yourself.
Job Grade- 20G
Last day to apply internally- 4/22/26 @ 11:59am EST
Employee Type:
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Other Criteria:
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
Basic Qualifications:
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.</div>

Business Data Scientist

Honeywell

<div>As a Sr Advanced Data Scientist here at Honeywell, you will leverage your expertise in advanced analytics and data science to develop innovative solutions that drive business growth and operational efficiency. You will work on complex data sets and cutting-edge technologies to extract actionable insights that influence strategic decisions.
You will work out of our Atlanta, GA location on a hybrid work schedule.
In this role, you will impact the company's ability to harness data-driven insights to optimize processes, enhance product offerings, and contribute to Honeywell's leadership in technology innovation.</div>
 <div><h4 class="jobSectionHeader">BENEFITS OF WORKING FOR HONEYWELL
</h4>In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here
The application period for the job is estimated to be 40 days from the job posting date 4/3/2026; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.
<h4 class="jobSectionHeader">ABOUT HONEYWELL
</h4>Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here
<h4 class="jobSectionHeader">THE BUSINESS UNIT
</h4>Honeywell Advanced Materials is an industry leading solutions provider, playing a crucial role in advancing industries worldwide through diverse applications, revolutionary inventions, and pioneering technologies focused on high growth mega-trends. Our science and technology experts create solutions that help solve our customers' needs today and in the future. Our solutions span across industries, including retail, healthcare and pharma, buildings, manufacturing and hi-tech. In each of these verticals we bring deep materials and engineering knowledge, which leads to our customers achieving reduction in energy consumption, cutting down their carbon emissions and improving their operational efficiencies.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and diversity : click here
<h4 class="jobSectionHeader">YOU MUST HAVE
</h4><div><ul><li>Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial setup.
</li><li>Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems, and hardware in a commercial setup.
</li><li>Minimum of 3 years of experience with distributed storage and compute tools (e.g. Spark)
</li><li>Minimum of 3 years' experience developing and deploying machine learning models on cloud platforms (e.g. AWS, Azure, GCP etc.)
</li><li>Minimum of 2 years of experience in deep learning frameworks like PyTorch, Tensorflow, Keras
</li><li>Minimum of 2 years' Experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs
</li></ul></div><h4 class="jobSectionHeader">WE VALUE
</h4><ul><li>Bachelor&rsquo;s degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline.
</li><li>Master's degree in computer science, Engineering, Applied Mathematics or related STEM field
</li><li>PhD degree in Computer Science, Engineering, Applied Mathematics or related STEM field
</li><li>Experience with MLOPS best practices and implementations
</li><li>Experience with LLM and Natural Language Processing models
</li><li>Experience working with remote and global teams
</li><li>Results driven with a positive can-do attitude</li></ul></div>
 <div><h4 class="jobSectionHeader">KEY RESPONSIBILITIES
</h4><ul><li>The Sr Advanced Data Scientist role is expected to work within Honeywell to identify opportunities for new growth and efficiency based on data analyses and foster relationships with business team members by being proactive, displaying a thorough understanding of the business processes.
</li><li>You will also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and also be responsible for defining the data acquisition strategy when required.
</li><li>After influencing scope and prioritizing the analytics pipeline, you will assist in leading the technical execution of data science projects directing daily work of junior data scientists and will be responsible for the overall success of the project. This includes stakeholder management by presenting regular updates and final results to senior leadership of the customer organization.
</li><li>You will also be expected to actively participate in defining and governing our analytics strategy for
</li><li>Honeywell building out AI/ML capabilities of our Forge platform and promoting data science methods and processes across functions
</li><li>You will report to the Data Science Leader in Honeywell Connected Enterprise.</li></ul></div>
 <div>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.</div>

Sr Advanced Data Scientist

Capgemini

<div><div><div><div>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.
<div><div><div><h2 class="jobSectionHeader">Job Location : Malvern, PA (Onsite/Hybrid)</h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader">Job Description</h2>
</div><div><div>We are looking for a highly experienced AWS Data Scientist with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming to build and deploy scalable, cloud-native analytics solutions on AWS. The role requires hands-on experience across the full data science lifecycle and close collaboration with business and engineering teams.</div>
</div></div><div><div><h2 class="jobSectionHeader">Required Skills &amp; Qualifications</h2>
</div><div><ul><li>Minimum 8+ years of experience in Data Science, AI, or Machine Learning</li>
<li>Strong hands-on expertise in AI &amp; ML, including supervised and unsupervised learning, NLP, or deep learning</li>
<li>Advanced Python programming skills, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch</li>
<li>Extensive experience with AWS, especially SageMaker, S3, Redshift, Glue, Athena, Lambda</li>
<li>Strong foundation in statistics, predictive modeling, and ML algorithms</li>
<li>Proficiency in SQL and experience with data visualization techniques</li>
<li>Excellent communication and stakeholder management skills</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Key Responsibilities</h2>
</div><div><ul><li>Design, develop, and deploy AI/ML models and data science solutions on AWS</li>
<li>Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR</li>
<li>Perform advanced data analysis, feature engineering, model training, and optimization using Python</li>
<li>Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift</li>
<li>Implement MLOps practices for model deployment, monitoring, retraining, and version control</li>
<li>Translate complex business problems into AI/ML-driven solutions</li>
<li>Ensure adherence to data security, governance, and compliance standards</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Preferred Qualifications</h2>
</div><div><ul><li>AWS Certifications (Machine Learning &ndash; Specialty or Solutions Architect)</li>
<li>Experience with big data technologies such as Spark</li>
<li>Exposure to real-time or streaming data pipelines</li>
<li>Background in financial services or regulated industries</li>
</ul></div></div></div>The base compensation range for this role in the posted location is: $80786 - 90892
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.
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.
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.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
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. 
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<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>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. 
Disclaimers
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.
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.
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.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 
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.</div></div></div></div>

AWS Data Scientist

Equifax

<div>
 
 
 This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
 
 
 
 
 We are seeking an experienced and driven Data Science expert to join the Analytical Capabilities team, where you will help power Equifax&rsquo;s AI and analytical offerings. In this role, you will build innovative tools and perform in-depth analysis to support customer decision points across the consumer lending lifecycle. By leveraging advanced mathematical and statistical approaches, you will develop robust, reusable, and highly automated solutions.
 
 
 In this position, you will analyze complex data sources using various programming languages to inform business strategy and deliver insights for both internal and external stakeholders. You will develop models to test hypotheses and quantify the impact of decisions under various scenarios. Your ability to communicate technical results will be essential in driving profitability and translating business requirements into scalable, data-driven products.
 
 
 What you'll do
 
 
 <ul>
 <li>
 Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions.
 </li>
 <li>
 Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities.
 </li>
 <li>
 Drive the execution of projects with multiple deliverables, leveraging business and technical expertise.
 </li>
 <li>
 Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop enhanced solutions.
 </li>
 <li>
 Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work.
 </li>
 <li>
 Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy.
 
 
 </li>
 </ul>
 
 What Experience You Need
 
 
 
 <ul>
 <li>
 MS degree in a STEM major or equivalent discipline
 </li>
 <li>
 2-5 years of experience in a related analytical role
 </li>
 <li>
 Experience with data analysis on structured and unstructured data
 </li>
 <li>
 Proven track record of developing predictive models in real-world applications
 </li>
 <li>
 Experience with model performance evaluation
 </li>
 <li>
 Cloud certification strongly preferred
 </li>
 <li>
 Additional role-based certifications may be required depending upon region/BU requirements
 
 
 </li>
 </ul>
 What could set you apart
 
 
 <ul>
 <li>
 Background in the financial services industry, specifically as it pertains to credit risk, marketing or collections
 </li>
 <li>
 Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
 </li>
 <li>
 Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments
 </li>
 <li>
 Background using or leveraging AI tools for work efficiency or knowledge gathering
 </li>
 <li>
 Demonstrates Git usage and CI/CD integration skills
 </li>
 </ul>
</div>

Data Scientist - Analytics Capability

The Home Depot

<div>Position Purpose:
Supply Chain Economics owns the logic and data products that bridge supply chain operations with finance. This suite of datasets, analytics and models are key for financial processes, operational initiatives, merchant allocations and more. The team aims to continue to modernize its data products and provide insights into the costs and operational levers of The Home Depot's supply chain. The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. 
Key Responsibilities:<ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience in predictive modeling, data mining and data analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Data Scientist - Decision Analytics, Supply Chain Economics

<div>
 Req176806
 
 
 
 Position Purpose
 
 
 
 The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
 
 
 As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
 
 
 
 This role is based on‑site and requires full‑time, five‑day‑a‑week presence in the office.
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
 </li>
 <li>
 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
 </li>
 <li>
 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
 </li>
 <li>
 15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 This position typically reports to Manager or above
 </li>
 <li>
 This position has 0 Direct Reports
 
 
 </li>
 </ul>
 
 Travel Requirements
 
 
 
 <ul>
 <li>
 Typically requires overnight travel less than 10% of the time.
 
 
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 Physical Requirements
 
 
 
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 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.
 
 
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 </ul>
 
 Working Conditions
 
 
 
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 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
 
 
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 </ul>
 
 Minimum Qualifications
 
 
 
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 Must be eighteen years of age or older.
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 Must be legally permitted to work in the United States.
 
 
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 </ul>
 
 Preferred Qualifications
 
 
 
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 <li>
 Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
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 4+ years of experience in business intelligence, advanced analytics, and/or AI/ML fields.
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 Experience designing, building, and maintaining scalable data pipelines to support ingestion, processing, and transformation from multiple sources (e.g., databases, APIs, streaming).
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 Experience in a modern scripting language (preferably Python)
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 Proficient in Data querying (SQL/BQ) and visualization (preferably tableau)
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 Proficient utilizing statistical techniques to identify key insights that help solve business problems
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 Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search, or traditional NLP is a plus.
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 Familiarity or hands-on experience in designing, developing, and deploying autonomous AI agents or multi-agent systems using modern LLM orchestration frameworks.
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 Experience with Retrieval-Augmented Generation (RAG) architectures, prompt engineering, and enabling LLMs with tool/function calling capabilities to interact with external APIs and databases.
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 Understanding of evaluating, testing, and monitoring generative AI models and agents in production environments to ensure reliability, safety, and performance.
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 Demonstrated experience in predictive modeling, data mining and data analysis
 
 
 </li>
 </ul>
 
 Minimum Education
 
 
 
 <ul>
 <li>
 The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
 
 
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 </ul>
 
 Preferred Education
 
 
 
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 <li>
 No additional education
 
 
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 </ul>
 
 Minimum Years Of Work Experience
 
 
 
 <ul>
 <li>
 3
 
 
 </li>
 </ul>
 
 Preferred Years Of Work Experience
 
 
 
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 <li>
 No additional years of experience
 
 
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 </ul>
 
 Minimum Leadership Experience
 
 
 
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 <li>
 None
 
 
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 </ul>
 
 Preferred Leadership Experience
 
 
 
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 <li>
 None
 
 
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 </ul>
 
 Certifications
 
 
 
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 <li>
 None
 
 
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 </ul>
 
 Competencies
 
 
 
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 Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
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 Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
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 Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
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 Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
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 Customer Focus: Building strong customer relationships and delivering customer-centric solutions
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 Drives Results: Consistently achieving results, even under tough circumstances
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 Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
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 Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
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 Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
 </li>
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 Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
 </li>
 </ul>
</div>

Data Scientist - Pro

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