analyst, data analytics (all levels) Jobs in Atlanta

analyst, data analytics (all levels)

data analyst, supply chain Jobs in Atlanta

data analyst, supply chain

senior data engineer

sr. data analyst

ai scientist 2

associate data scientist

Freeman

<div><div><div><div><div><h2 class="jobSectionHeader"><b>About Us</b></h2>
</div><div><div>
Freeman is a global leader in events, on a mission to redefine live for a new era. With a data-driven approach and the industry&rsquo;s largest network of experts, Freeman&rsquo;s insights shape exhibitions, exhibits, and events that drive audiences to action. The integrated full-service solutions leverage a 97-year legacy in event management as well as new technologies to deliver moments that matter.</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>
Summary</b></h2>
</div><div><div>
We are seeking a trained Associate Data Scientist with a strong foundation in mathematics and business acumen, ideally holding a Math/Statistics major with 3+ years of relevant work experience in either Finance, Operations, Marketing or Data Analytics teams. This individual will leverage analytical, statistical, and machine learning techniques to drive data-driven insights that can facilitate actionable decision-making. The ideal candidate will have at least three years of experience in events / B2B business / retail / rental / tech / fintech categories, enabling them to understand unique business challenges and opportunities in these fast-paced environments.</div><br>
<div></div>
<div>
This position will support our Technology Services team. It is eligible to work a hybrid schedule, generally requiring work in-office 2-3 days per week. The ideal candidate will be based out of any of the following locations:<br>
<ul><li>Dallas, TX</li><li>Atlanta, GA</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Essential Duties &amp; Responsibilities</b></h2>
</div><div><ul><li>Data Collection and Preparation: Gather, clean, and preprocess large volumes of structured and unstructured data from diverse sources.</li><li>Advanced Analytics: Apply statistical modeling, and predictive analytics to uncover trends, forecast demand, optimize pricing, and improve customer experience.</li><li>Business Strategy Support: Translate complex analytical findings into actionable business insights and recommendations, supporting e-com, marketing, operations, sales strategy and inventory planning.</li><li>Collaboration: Work closely with cross-functional teams, including sales, marketing, operations, finance, and data engineering, to create and implement well thought through, accurate and scalable solutions.</li><li>Process Automation: Develop and deploy automated data pipelines and reporting tools to streamline analytics workflows and enhance decision speed.</li><li>Communication: Present findings to both technical and non-technical stakeholders using clear visualizations, reports, and dashboards.</li><li>Continuous Learning: Stay abreast of the latest data science tools, technologies, and industry trends to maintain a competitive edge.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Education &amp; Experience</b></h2>
</div><div><ul><li>Bachelor&rsquo;s degree in Mathematics (or related field) with an MBA preferred.</li><li>3+ years of experience as a Data Scientist or similar role in the retail, restaurant, or event industry.</li><li>Proficiency in Advanced Excel (Power Pivot, Power Query), Power BI, Python / R and SQL.</li><li>Strong quantitative and problem-solving skills, with the ability to interpret complex data and derive business value.</li><li>Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical audiences.</li><li>Demonstrated ability to lead projects, collaborate with diverse teams, and drive initiatives that deliver measurable impact.</li><li>Experience managing analytics projects from conception to implementation, with a focus on delivering business value.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Travel Requirements</b></h2>
</div><div><div>Travel up to 25%</div></div></div><div><div><h2 class="jobSectionHeader"><b>
What We Offer</b></h2>
</div><div><div>
Freeman provides benefits that aim to empower our people and their families to thrive mentally, physically, and financially. These are a handful of the types of programs and benefits our full-time people may be eligible for. There may be some variances in specific benefits across regions.</div>
<ul><li>Medical, Dental, Vision Insurance</li>
<li>Tuition Reimbursement</li>
<li>Paid Parental Leave</li>
<li>Life, Accident and Disability</li>
<li>Retirement with Company Match</li>
<li>Paid Time Off</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Diversity Commitment</b></h2>
</div><div><div>
At Freeman, our commitment to diversity and inclusion is helping us to create not only a great place to work, but also an environment where our employees, our customers and our communities around the world can reach their goals and connect with each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status and other characteristics protected by federal, state or local laws.</div><br>
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#LI-Hybrid</div></div></div></div></div></div>

Associate Data Scientist

Alvarez & Marsal

<div></div><div><div><div><p>Location: Atlanta, GA, United States<br>
Date Posted: Feb 28, 2026</p></div><p></p><div><div><br>
</div></div></div><div><p><b>Description</b>
</p><p><b>Digital Finance Transformation - Data Scientist: Associate &ndash; Private Equity Performance Improvement</b></p><p><b>
About Alvarez &amp; Marsal</b></p><p>
Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are why our people love working at A&amp;M.</p><p><b>
The Team</b></p><p>
A&amp;M&rsquo;s Private Equity Performance Improvement Services (PEPI) practice works with private equity held portfolio companies and provides our clients with solutions to preserve and generate value for their businesses. Our goal is to improve transparency to key drivers and business performance, to support increasing cash and EBITDA, and to provide benefits through hands-on involvement in our clients&rsquo; operations. Our job is to support PE firms to ensure their portfolio companies have credible plans and the ability to execute and deliver financial outcomes.</p><p><b>
Our PEPI CFO Services practice includes the following pillar of services:</b></p><ul><li>
Strategic Finance and Liquidity Management</li><li>
Accounting Advisory and Financial Reporting Solutions</li><li>
Working Capital Optimization</li><li><b>
Digital Finance Transformation</b></li><li>
Interim Management</li></ul><p></p><p><b>
How you will contribute</b></p><p>
We are seeking an Associate or Senior Associate to join our Digital Finance Transformation team within PEPI. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance function&mdash;modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact.</p><p>
The ideal candidate blends strong technical expertise in Python, SQL, and modern data platforms with a solid understanding of finance and accounting operations. You will work directly with CFOs, Controllers, and FP&amp;A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.</p><p><b>
Qualifications</b></p><ul><li>
3-6 plus years of professional experience; consulting or professional services experience preferred.</li><li>
Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
Strong SQL skills and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).</li><li>
Experience with ETL/orchestration tools (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).</li><li>
Demonstrated ability to develop lightweight finance applications using Streamlit or Retool.</li><li>
Solid understanding of finance and accounting concepts, including forecasting, working capital management, and three-statement modeling.</li><li>
Exceptional communication and collaboration skills; proven ability to translate between finance and technology teams.</li><li>
Ability to travel as required</li></ul><p></p><p>
#LI-LS1</p><p></p><p><b>
Your journey at A&amp;M</b></p><p>
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.</p><p>
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.</p><p>
The salary range is $90,000-$130,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&amp;M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.</p><p>
Alvarez &amp; Marsal recruits on an ongoing basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) that they are qualified for and that are of interest to them.</p><p></p><p>
Full-time Positions and Part-time Positions Over 30 hours</p><p>
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez &amp; Marsal Holdings&rsquo; fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&amp;D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez &amp; Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.</p><p><b>
Inclusive Diversity</b></p><p>
A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.</p><p><b>
Equal Opportunity Employer</b></p><p>
It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&amp;M policy statements and additional information by region here.</p><p><b>
Unsolicited Resumes from Third-Party Recruiters</b></p><p>
Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.</p>
</div><div><h2 class="jobSectionHeader"><b>Inclusive Diversity</b></h2>
<p>A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.</p>
<h2 class="jobSectionHeader"><b>Equal Opportunity Employer</b></h2>
<p>It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. .</p>
<h2 class="jobSectionHeader"><b>Unsolicited Resumes from Third-Party Recruiters</b></h2>
<p>Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.</p></div></div><p></p>

Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement (OPEN TO ALL US LOCATIONS)

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
We are transforming how online merchandising decisions are made through the innovative use of data-driven optimization, econometrics, and advanced causal modeling. This is a highly prioritized and visible area of our business, and we are seeking a talented Lead Data Scientist to take charge of the end-to-end implementation of our merchandising science initiatives. This critical role involves everything from initial architecture and experimentation through to the governance of production-level models. You will be a key player in shaping the future of our online business, ensuring that our strategies are built on a solid foundation of data and advanced analytics.</p><p></p><p>
Join a team that thrives on a collaborative, nurturing, and growth-focused culture. We are passionate about learning and continuously challenging ourselves to solve the most complex problems in e-commerce. You will be part of a supportive environment where your ideas are valued, and your professional development is a top priority.</p><p>
The Lead Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by applying expertise of both business and Advanced Analytics Modeling techniques. Lead Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role has expertise in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.<br>
As a Lead Data Scientist, you will be responsible for large data science projects, identifying opportunities to leverage best technology and approach, and mentoring data scientists on the project team. This role is expected to own the library of reusable algorithms for future use, ensuring developed codes are documented. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role leads data science communities across several business units.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
30% Solution Development - Utilize expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
25% Project Management &amp; Team Support - Lead and manage large and complex projects and teams; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive; Lead data science communities across several business units</li><li>
20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide technical education on advanced analytics to data science community; Partner with IT to understand potential for new tools and ways to maintain technical agility for data science; Actively seek out new business opportunities to leverage data science as a competitive advantage</li><li>
25% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science by attending conferences and publishing papers; 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; Define best practices and develop clear vision for data analysis and model productionalization; Ownership of library of reusable algorithms for future use, ensure developed code/models are documented; Develop mastery in one or more prescriptive modeling techniques, like optimization, computer vision, recommendation, search or NLP</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to manager or above</li><li>
This position has 0 Direct Reports and leads/manages projects</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
10+ years of experience in business intelligence and analytics</li><li>
Expertise in a modern scripting language (preferably Python)</li><li>
Expertise running queries against data (preferably with Google BigQuery or SQL)</li><li>
Advanced knowledge of Microsoft Office Suite</li><li>
Expertise with data visualization software (preferably Tableau)</li><li>
Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li></ul><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
10</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</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>
Cultivates Innovation: Creating new and better ways for the organization to be successful</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li><li>
Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications</li></ul></div><p></p>

Lead Data Scientist, Online Merchandising

Sequium Asset Solutions

<div><p>Job title: Entry Level Data Scientist - Collections Analytics</p><p>
Location: Atlanta, GA or Remote</p><p>
Employment type: Full-time</p><p>
Reports to: VP Strategic Initiatives</p><p><b>
About us</b></p><p>
Sequium Asset Solutions is the industry's most progressive and advanced debt collection servicer. Our mission is to provide uncompromising operational excellence by setting the highest standards in service and reliability through the application of our five core values: Leadership, Training, Talent Acquisition, Rewards and Technology. At Sequium, <b>Tomorrow is Today.</b></p><p>
We have an outstanding opportunity for an accomplished data scientist to join one of the most exciting and fastest growing companies in the industry. In this role you will report directly to the Vice President of Strategic Initiatives and support analytics and modeling projects across account segmentation, contact strategy optimization, and early-warning</p><p>
detection. You will work with cross-functional teams (operations, compliance, IT) to turn data into actionable insights, build repeatable analytics, and productionize models. Our company has made huge investments in data science and generated an agentic AI. We are attempting to fully automate all decisioning processes to give us the highest statistical result and incremental value for all performance matrices.</p><p>
The successful applicant must possess a high level of intelligence, motivation and enthusiasm in creating breakthrough value enhancements. This is a critical position within the organization for someone who is creative, self-starting and who wants to be in control of their own destiny.</p><p><b>
Key responsibilities</b></p><ul><li>
Must have significant knowledge using enterprise AI software (Claude, Cursor and Python) with the ability to direct and prompt this software in order to create significant breakthroughs to enhance automated and real-time strategies.</li><li>
Build, validate, and maintain predictive models (e.g., credit/payment propensity, churn/risk, contact response) using Python/R and standard ML libraries.</li><li>
Clean, explore, and feature-engineer large-structured datasets from multiple sources (payments, contact history, credit bureau, CRM).</li><li>
Run A/B tests and propensity-matched experiments to evaluate contact strategies and messaging, measure lift and report results.</li><li>
Create dashboards, visualizations, and regular reports for operations and leadership (KPIs: recovery rates, promise-to-pay keep rates, contact conversion, roll rates).</li><li>
Assist in productionizing models: packaging, documentation, monitoring, and retraining schedules in collaboration with others.</li><li>
Implement and track model performance, fairness, and stability metrics; support model governance and compliance documentation.</li><li>
Support data pipelines and ETL tasks; partner with data engineering to ensure data quality and lineage.</li><li>
Translate business problems into analytical approaches; present findings and recommended actions to stakeholders.</li><li>
Stay current on best practices in supervised/unsupervised learning, causal inference, and responsible AI as applied to collections.</li></ul><p><b>
Required qualifications</b></p><ul><li>
Bachelor&rsquo;s degree (or equivalent) in Data Science, Statistics, Computer Science, Mathematics, Industrial Engineering, or related quantitative field; graduation within the last 2-3 years.</li><li>
Solid SQL skills for data extraction and manipulation.</li><li>
Strong programming skills in Python.</li><li>
Understanding of basic ML algorithms (logistic regression, decision trees, ensemble methods, clustering) and evaluation metrics (precision/recall, confusion matrix, calibration).</li><li>
Experience with data visualization tools (Power BI, Tableau or equivalent) or ability to produce clear visual analyses in Python/R.</li><li>
Hands-on experience with at least one machine learning project (class project, internship, capstone, or competition) with end-to-end work (data cleaning, modeling, evaluation).</li><li>
Strong analytical problem-solving, attention to detail, and ability to communicate technical results to non-technical stakeholders.</li><li>
Commitment to ethical data practices and regulatory compliance (willingness to learn collections/consumer protection rules).</li></ul><p><b>
Preferred (nice-to-have)</b></p><ul><li>
Internship or part-time experience in finance, collections, payments, credit risk, or customer analytics.</li><li>
Familiarity with time-series or survival analysis and propensity scoring.</li><li>
Experience with model monitoring frameworks, cloud platforms (AWS, GCP, Azure).</li><li>
Knowledge of compliance/regulatory frameworks relevant to collections (e.g., FDCPA basics).</li></ul><p><b>
Technical stack expectations</b></p><ul><li>
Data: SQL, relational databases</li><li>
Visualization: Power BI</li><li>
Languages: Python (R acceptable)</li><li>
ML: scikit-learn, XGBoost/LightGBM, basic knowledge of neural nets optional</li><li>
Workflow: Git, Jupyter notebooks, basic command line</li><li>
Cloud/Infrastructure: AWS/GCP/Azure; containerization (Docker), Kubernetes experience preferred</li></ul><p><b>
Success metrics (first 6&ndash;12 months)</b></p><ul><li>
Deliver at least one validated predictive model and support its production handoff</li><li>
Implement 2&ndash;3 dashboards or automated reports used by operations.</li><li>
Demonstrate measurable lift from an A/B test or strategy change driven by your analysis.</li><li>
Complete formal documentation for at least one model covering training data, features, performance, and monitoring plan.</li></ul><p><b>
Behavioral competencies</b></p><ul><li>
Curious, proactive learner who seeks feedback and owns development.</li><li>
Team player who collaborates with ops, IT, and compliance.</li><li>
Communicates clearly, distills complex analyses into actionable recommendations.</li><li>
Comfortable working in a regulated, data-sensitive environment.</li></ul><p><b>
Application process</b></p><p>
Submit resume, transcript (unofficial acceptable), and a one-page project summary showing relevant work.</p></div>

Entry Level Data Scientist - Collections Analytics

<div><p><b>Position Purpose:</b></p><p>
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.<br>
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.</p><p><b><br>
Key Responsibilities:</b></p><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><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Masters or PHD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
3+ years of work experience in developing machine learning / AI models to solve business problems</li><li>
3+ years of experience in business intelligence and analytics</li><li>
Proficient in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</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><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>
Working knowledge of Microsoft Excel and Power Point</li></ul><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
3</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><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><p></p>

Data Scientist

<div><b>Position Purpose:</b><p>
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.
<br>
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.</p><b><br>
Key Responsibilities:</b><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><br>
<b>
Direct Manager/Direct Reports:</b><ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul><br>
<b>
Travel Requirements:</b><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><br>
<b>
Physical Requirements:</b><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><br>
<b>
Working Conditions:</b><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul><br>
<b>Minimum Qualifications:</b><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><br>
<b>
Preferred Qualifications:</b><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><br>
<b>
Minimum Education:</b><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><br>
<b>
Preferred Education:</b><ul><li>
No additional education</li></ul><br>
<b>
Minimum Years of Work Experience:</b><ul><li>
3</li></ul><br>
<b>
Preferred Years of Work Experience:</b><ul><li>
No additional years of experience</li></ul><br>
<b>
Minimum Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Preferred Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Certifications:</b><ul><li>
None</li></ul><br>
<b>
Competencies:</b><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 - SUPPLY CHAIN

<div>
 Req167506
 <br/>
 <br/>
 <strong>
  Position Purpose
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Direct Manager/Direct Reports
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This position typically reports to Manager or above
  </li>
  <li>
   This position has 0 Direct Reports
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Travel Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Typically requires overnight travel less than 10% of the time.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Physical Requirements
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Working Conditions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Must be eighteen years of age or older.
  </li>
  <li>
   Must be legally permitted to work in the United States.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Education
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   No additional education
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Years Of Work Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Years Of Work Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   No additional years of experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Leadership Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   None
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Leadership Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   None
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Certifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   None
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Competencies
  <br/>
  <br/>
 </strong>
 <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>


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