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director data science machine learning

<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:
The Director, Data Science and Machine Learning sets strategic direction for data science and machine learning (ML) imperatives and will direct and design Data Science and Machine Learning algorithms scalable to the enterprise and initiates policies and procedures aimed at global adoption.
This position partners with stakeholders in operational, customer and enterprise business units, and solution delivery groups to understand challenges, assess data needs, and develop strategies, roadmaps, and solutions to address complex logistical challenges. The role drives the advancement and adoption of advanced data science and ML techniques and algorithms aimed at advancing a pervasive data driven culture at UPS. This position directs the design and development of highly complex tools, methods, products, programs, and solutions to achieve the highest level of optimization and to attain optimal operational efficiencies.
As the Subject Matter Expert (SME) in Data Science, Advanced Analytics, Machine Learning, and/or Computer Science, this position provides direction and leadership on strategic projects and initiatives to increase profitability and competitive advantage. This position uses demonstrated work experience and partnerships with industry experts, business, and technology stakeholders to drive out business and customer value using data and data science solutions.
Preferred location: Atlanta, GA; highly qualified candidates in other locations will also be considered. 
 
RESPONSIBILITIES<ul><li>
Develops and oversees the Data Science vision and adoption among data science departments across the organization and advocates a data-driven culture that rapidly drives business and customer value by leveraging Data Science and Machine Learning (ML) techniques.</li><li>
Develops multi-year roadmaps and strategies to meet goals of maturity in data governance, Data Science, data literacy, and fluency to support the acceleration and delivery of advanced analytic solutions to meet business needs with focus on technology, automation, productivity, and quality of service.</li><li>
Articulates business vision and strategy and mobilizes the workforce to collaboratively reach evolving business objectives through internal and external relationships.</li><li>
Oversees others to conduct proof of concept (POC) projects as needed, vets techniques and potential business value models, and oversees development and implementation of data strategies and governance models to mine and manage large scale data sets to support Data Science/ML models and algorithms.</li><li>
Identifies requirements to design cutting-edge Advanced Analytics/Machine Learning tools and/or solutions that are new to the industry to address short- and long-term challenges and business needs that aim to reduce costs and improve efficiency.</li><li>
Oversees efforts to embed and adopt technology, automation, emerging data science technologies, frameworks, and methodologies globally.</li><li>
Defines, advises, and influences use of emerging technologies by partnering with strategic vendor executives, communicates UPS needs and influences cutting-edge product development, and researches and promotes emerging technologies to educate staff and business management.</li><li>
Champions technology and funding recommendations to senior management to ensure technology and value are maximized and meet business objectives.</li><li>
Leads cross functional groups in a unified direction as well as an ability to influence and move top business leadership and senior executives while demonstrating an ability to form strong, meaningful, and effective connections with others internally and externally.</li><li>
Communicates to business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies.</li></ul> 
QUALIFICATIONS<ul><li>
7+ years of demonstrated experience leading a data science team from conception through the implementation of new data science models, tools, and techniques that lead to improvement in business performance</li><li>
Extensive experience solving analytical issues through quantitative approaches and machine learning methods as well as vast experience using advanced statistical methods, data mining techniques, and information retrieval.</li><li>
Working knowledge and proficiency in emerging computing and technological solutions; vast experience with distributed and big data technologies, programming and scripting languages that support analytical processes (e.g., Python, R, Java).</li><li>
Hands-on experience in leading and managing enterprise advanced analytics projects in production at scale while using available cloud-AI technologies and infrastructures.</li><li>
Ability to effectively advocate strategic direction around technical solutions to research scientists, engineering teams as well business audiences.</li><li>
Experience mentoring data scientists in data aggregation, model experimentation, machine learning techniques, data visualization and production deployment architecture.</li><li>
Strong oral and written communication and presentation skills.</li><li>
Able to communicate data through a story framework to convey data-driven results to senior leadership and stakeholders with varying technical expertise.</li><li>
Master&rsquo;s or PhD Degree (or international equivalent) in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.) or additional experience above the minimum may be considered in lieu of the required education on a year-for-year basis.</li></ul>
ADDITIONAL INFORMATION FOR INTERNAL APPLICANTS<ul><li>
Position paygrade: 40H</li><li>
Position will be posted internally through March 24, 2026</li></ul>
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>

Director, Data Science & Machine Learning

NASDAQ

<div>About Our Internship Program 
 
Nasdaq&rsquo;s Internship Program is a 10-week summer experience designed to give students real exposure to how global markets and technology come together. Our interns work on meaningful projects alongside Nasdaq teams, gaining hands-on skills that make an impact on the business. 
 
We believe the best way to learn is by doing &mdash; that&rsquo;s why you&rsquo;ll be paired with a mentor, connected with senior leaders, and included in professional development sessions. You&rsquo;ll also join a diverse global intern community, sharing experiences and building networks that last beyond the program. 
 
Our goal is to provide a supportive, engaging, and fun environment where your work feels valued and your growth comes first. Check out our Nasdaq Internship Program page to learn more and hear directly from past interns about their journeys.<div></div><div>
We are seeking a motivated and curious Data Science Summer Intern to join our team and contribute to impactful, data-driven projects. In this role, you will work alongside an experienced Research &amp; Development team to analyze large datasets, build predictive models, and develop actionable insights using tools such as Python, R, or SQL. This is an excellent opportunity for a student pursuing a degree in Data Science, Statistics, Computer Science, or a related field to gain hands-on experience in a fast-paced, collaborative environment.</div><div></div><div> 
At Nasdaq, you&rsquo;ll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you&rsquo;ll support [team/business area] and gain hands-on experience with [specific products/projects/clients].</div><div></div><div> 
You don&rsquo;t need to know everything on day one &mdash; we&rsquo;ll help you build the skills, confidence, and network to grow your career.</div><div></div><div>
What You&rsquo;ll Do</div><div></div><ul><li> 
 Support the R&amp;D team with day-to-day analytical tasks and contribute to ongoing modeling and research initiatives</li><li> Learn how to build, validate, and deploy machine learning models using industry-standard tools such as Python, SQL, and cloud-based platforms.</li><li> Collaborate with teammates across Product, Sales and Data Operations to deliver end-to-end data solutions.</li><li> Bring your ideas and curiosity to real-world problem-solving by exploring datasets, identifying trends, and presenting findings to stakeholders</li><li> Develop your technical and professional skills through hands-on project work, code reviews, and mentorship from experienced data scientists.</li></ul><div></div><div> 
What You&rsquo;ll Bring</div><div></div><ul><li> 
 Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field.</li><li> Foundational knowledge of programming languages such as SQL, Python or R, with exposure to data manipulation, Large Language Models and exploratory data analysis</li><li> Eagerness to learn, ask questions, and apply academic knowledge to real-world data challenges in a professional setting</li><li> Ability to think analytically and communicate findings clearly to both technical and non-technical audiences.</li><li> Curiosity about machine learning, artificial intelligence, and the role of data in driving business decisions.</li></ul><div></div><div>
Nice-to-Have</div><div></div><ul><li> 
 Project experience related to data science, machine learning, or statistical analysis, such as academic research, data competitions, or personal data projects.</li><li> Involvement in student organizations, hackathons, volunteering, or leadership roles that demonstrate initiative, teamwork, and a passion for data and technology</li><li> Familiarity with specific tools or technologies such as PowerBI, Snowflake, Databricks, Fabric, AWS</li></ul><div></div><div>
This position will be located in Atlanta and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.</div><div></div><div>
Come as You Are</div><div></div><div>
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.</div><div></div><div>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.</div></div><div></div>

Data Science Intern - 2026 Summer Intern

Pratt Industries

<div>Job Title: Data Science Engineer

Position leads the data science initiative in all areas of BRR Plus's responsibilities, including Pratt Industries and Visy, providing professional knowledge and expertise in the areas of large data analytics in support of operational improvements across all facets as designated by the Group Data Science Manager. The position will be expected to build data/machine learning products to extract valuable business insights.

ESSENTIAL DUTIES AND RESPONSIBILITIES: (Other duties may be assigned)-
<ul>
<li>Identify valuable data sources and automate collection processes</li>
<li>Undertake preprocessing of structured and unstructured data</li>
<li>Analyze large amounts of information to discover trends and patterns</li>
<li>Leverage programming skills to develop automated systems that help improve business operations</li>
<li>Build predictive models and machine-learning algorithms</li>
<li>Present information using data visualization techniques</li>
<li>Collaborate with engineering and production teams</li>
<li>Assist all Pratt/Visy locations (via remote login, video conferencing, or onsite support), provide direction, training, and development support, roll out pre-developed tools, expedite installation of insightful data products</li>
<li>Travel as required to support development of other Pratt/Visy locations</li>
</ul>
EDUCATION and/or EXPERIENCE -
<ul>
<li>Experience as a Data Scientist or Data Analyst preferred</li>
<li>Understanding of machine-learning and operations research preferred or demonstrated ability and desire to learn ML/AI methods to develop the desired outcome
</li><li>Knowledge of DCS systems, Data Historians, and Data Analytics software such as: dataParc, Seeq, Python</li>
<li>Analytical mind and business acumen</li>
<li>Strong math skills (e.g. statistics, algebra)</li>
<li>Problem-solving aptitude</li>
<li>Excellent communication and presentation skills</li>
<li>Post-secondary educational degree (2 to 4-year degree from college, university, technical school, military, vocational or other advanced educational institution) REQUIRED</li>
<li>Candidates are preferred who offer the following:</li>
<li><ul><li>BS degree in Chemical Engineering, Pulp and Paper, or other engineering disciplines related to field</li>
</ul></li>
</ul>LANGUAGE SKILLS-
<ul><li>Ability to read, analyze, and interpret technical procedures, manuals, regulations, and codes</li></ul>
<ul><li>Ability to write business reports and correspondence</li></ul>
<ul><li>Ability to communicate effectively with suppliers, contractors, employees and outside officials to the company</li></ul>
<ul><li>Clear, concise oral and written communication skills</li></ul>

MATHEMATICAL SKILLS-
<ul><li>Ability to apply concepts of algebra and statistics along with basic math (adding, subtracting, multiplying and dividing)</li></ul>

REASONING ABILITY-
<ul><li>Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists</li></ul>
<ul><li>Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form</li></ul>

TECHNICAL SKILLS-
<ul><li>Ability to gather information and perform detailed analysis and problem solving</li></ul>
<ul><li>Ability to create reports for review by upper management: Computer literate with proficiency in Microsoft Word, PowerPoint, Excel, Seeq, and ML/AI software as required to perform the responsibilities of this position</li></ul>

PHYSICAL DEMANDS-
<ul><li>Employee is regularly required to walk, talk, and hear</li></ul>
<ul><li>Employee is frequently required to stand; use hands to finger, handle, feel; and reach with hands and arms</li></ul>
<ul><li>The employee is occasionally required to sit</li></ul>
<ul><li>The employee must regularly lift and/or move up to 50 pounds</li></ul>
<ul><li>Vision requirements include: close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus</li></ul>

WORK ENVIRONMENT-
<ul><li>The work environment characteristics described here are representative of those an employee encounters while performing the functions of this job</li></ul>
<ul><li>While performing the duties of this job, the employee can be exposed to wet and/or humid conditions, moving mechanical parts, and fumes of airborne particles</li></ul>
<ul><li>The noise level in the field work environment is usually loud when working in the manufacturing plants
</li></ul><ul><li>The position may work remotely at times as deemed necessary by the Group Data Science Manager
</li></ul>Equal Employment Opportunity/Affirmative Action Employer/Veterans/Disabled.
Requirements:
Pratt Industries is America's 4th largest paper and packaging company with more than 10,000+ highly skilled green collar employees dedicated to the environment and sustainability. Pratt Industries is one of the largest corrugated packaging companies in America, with sophisticated manufacturing facilities in more than twenty states. The company operates several of the most modern, cost effective paper mills in the country, as well as a series of sheet and box plants strategically placed throughout the United States offering a wide range of creative packaging solutions. Pratt Industries is committed to recycling and the environment by harvesting the urban forest. 
 
Pratt Industries offers competitive compensation plans with incentive opportunities, full benefits package including medical, dental, vision, life, disability, All State, Pre-Paid Legal, and 401(k) with company match, paid vacation, paid holidays, and childbearing and parental leave.</div>

Data Science Engineer (Shreveport, LA)

Honeywell

<div>Lead Data Scientist for Honeywell International, Inc. (Atlanta, GA)
RESPONSIBILITIES:
<ul><li>Provide insights, data analysis and predictive analytics in support of eCommerce digital and other functional initiatives.
</li><li>Design and implement statistical and ML based methods to create models, identify changes in customer behavior and forecast ecommerce results.
</li><li>Require a strong foundation in machine learning, predictive analytics and NLP.
</li><li>Collaborate with functional teams to deliver AI/ML/LLM solutions that drive business impact.
</li><li>Support data analytics and reporting for business functions.
</li><li>Present data-based recommendations and &ldquo;tell the story&rdquo; that enables effective decision-making.
</li><li>Provide thought leadership as it relates to analytics.
</li><li>Provide database systems support, end-to-end development support and technology upgrade oversight
</li><li>Lead the delivery of machine learning solutions like forecasting, churn prediction, NLP, and ecommerce analytics use cases.
</li><li>Lead initiatives using NLP to extract insights from unstructured data for use cases including root-cause analysis.
</li><li>Guide dashboard development (Tableau/Power BI) and data storytelling to communicate insights effectively to technical and non-technical stakeholders.
</li><li>Mentor junior data analysts and promote best practices in ML development and data analytics.
</li><li>Collaborate with cross functional teams to drive strategic outcomes.</li></ul></div>
 <div>YOU MUST HAVE:
<ul><li>Qualified candidates will possess a Bachelor&rsquo;s degree (or foreign equivalent) in Data Science, Information Systems, Economics, Math, Finance, Business, Electronic Engineering, or related field and 5 years of industry experience designing, developing and implementing data-driven solutions across functional areas.
</li><li>Must have 3 years of experience with the following: experience in data analytics, and delivering actionable business insights; machine learning experience applied to real world processes, systems and infrastructure in a commercial environment; proven experience leading delivery of AI projects; proven experience and highly proficient in data extraction and data manipulation using SQL, visualization and reporting.
</li>Telecommuting permitted up to 2 times per week. 
<li>
</li></ul>ADDITIONAL INFORMATION:
<ul><li>Job Site: Atlanta, GA
</li><li>40 hours/week
</li><li>Eligible for Employee Referral Program: $1500
</li><li>If offered employment must have legal right to work in U.S. EOE.</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>

Lead Data Scientist

The Home Depot

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

Data Scientist, Contact Center AI

Worldpay

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

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

Data Scientist

Harver

<div>About Harver
Harver is the industry leading hiring solution helping organizations optimize their talent decisions. Rooted in over 35 years of rich data insights, the company&rsquo;s portfolio of solutions enables organizations to make the best talent decisions across the entire employee lifecycle. Having processed over 100 million candidates, Harver provides trusted, flexible, and adaptable offerings making hiring better, faster, and fundamentally more fair. More than 1,300 customers trust Harver to help put purpose to work. 
At Harver, we are:<ul><li>
Transparent: We believe in fostering an open, honest, and accountable environment where information flows freely and clearly.</li><li>
Collaborative: We embrace the power of collaboration and recognize that every individual brings unique strengths to the table.</li><li>
Curious: We embrace curiosity as a driving force for continuous learning and innovation.</li></ul> 
Job Overview:
We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune 500 clients. You'll execute predictive validity studies and outcome analyses that prove ROI for major enterprise clients across various industries. 
This role focuses on the end-to-end execution of outcome studies&mdash;from client data intake and matching through analysis delivery. You'll work with established frameworks and tools while applying strong analytical thinking to translate complex data into compelling client insights. 
In this role you get to:<ul><li>
Client Data Management</li><li>
Intake and validate client outcome data (performance, retention, hiring funnel, demographic, productivity metrics)</li><li>
Clean and standardize diverse data formats from enterprise HRIS and ATS systems</li><li>
Match client candidate records with Harver assessment data with high accuracy</li><li>
Troubleshoot data quality issues and communicate data requirements to clients</li><li>
Document data specifications and maintain data integrity throughout analysis lifecycle</li></ul>
Predictive Validity &amp; Outcome Analysis<ul><li>
Execute concurrent &amp; predictive validity studies using established statistical frameworks</li><li>
Apply machine learning models (Random Forest, XGBoost) to predict performance and attrition outcomes from assessment data</li><li>
Conduct ROI analyses demonstrating business impact (cost savings, quality of hire improvements)</li><li>
Perform disparate impact analyses to ensure assessment fairness</li><li>
Generate client-ready reports and visualizations communicating technical findings to business stakeholders</li></ul>
Technical &amp; Collaboration<ul><li>
Query and analyze data using Looker and SQL from internal databases</li><li>
Collaborate with Data Scientists on methodology refinement and framework improvements</li><li>
Support Client Success teams with technical questions and ad-hoc analyses</li><li>
Maintain analysis documentation and contribute to team knowledge base</li><li>
Present findings to internal stakeholders and client-facing teams</li><li>
Strategic collaboration with People Science team to improve efficiency and effectiveness of solutions</li><li>
Identify custom solutions based on client escalations and build into repeatable process for similar issues in the future</li></ul> 
We&rsquo;re looking for people who have:<ul><li>
5+ years of experience in data analysis, preferably in HR tech, people analytics, or consulting</li><li>
Strong proficiency in data cleaning, transformation, and quality assurance with complicated real-world datasets</li><li>
Solid statistical foundation (regression, hypothesis testing, correlation analysis, model evaluation metrics)</li><li>
Experience applying machine learning models as a user (model scoring, interpretation, validation)</li><li>
Proficiency in both Python and R for data analysis (pandas, dplyr, data visualization libraries)</li><li>
SQL proficiency for data extraction and transformation</li><li>
Experience utilizing version control tools like GitHub or Bitbucket to manage collaborative repositories (e.g., Python, R, SQL), ensuring a transparent, peer-reviewed, and audit-ready data environment.</li><li>
Strong communication skills&mdash;ability to explain technical concepts to non-technical audiences</li><li>
Excellent attention to detail and commitment to data accuracy</li><li>
Self-directed work style with ability to manage multiple client projects simultaneously</li></ul> 
Preferred<ul><li>
Background in I-O psychology, psychometrics, or talent assessment (highly valued for facilitating onboarding and understanding assessment validation principles)</li><li>
Familiarity with psychometric concepts (validity, reliability)and experience evaluating adverse impact</li><li>
Experience in HR analytics or workforce analytics</li><li>
Experience with BI tools (Looker, Tableau, Power BI, or similar)</li><li>
Background working with enterprise clients or in client-facing analytical roles</li><li>
Knowledge of EEOC guidelines and employment law considerations in assessment validation</li></ul> 
Why Join Harver:<ul><li>
Work with Fortune 500 clients on high-impact talent decisions</li><li>
Collaborate with a senior team of data scientists and engineers</li><li>
Contribute to cutting-edge work in AI-driven talent assessment</li><li>
Opportunity to grow into more strategic or technical roles</li></ul> 
Location:
Preference for candidates based on the East Coast, with strong preference for Atlanta location. 
Reporting Structure:
This role reports to the Data Science Manager and works closely with a team of senior data scientists, Client Success, and Product teams.</div>

Senior Data Analyst

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