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ai scientist 2

Intuit

<div><b>Category</b> Data <b>Location</b> Atlanta, Georgia; Mountain View, California <b>Job ID</b> 14452</div>
<br><div><div><h2 class="jobSectionHeader"><b>Company Overview</b></h2>
<div><p>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.</p>
</div></div><div><h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<div>We are seeking an AI Scientist to work with our collaborative and creative group of scientists and engineers to design and implement the next generation AI and machine learning systems that will power our omnichannel marketing platform. In this role, you will develop and deploy modern machine learning and AI models directly in our core product to address key customer challenges. We are looking for someone passionate about the full model development lifecycle, eager to collaborate with product managers to shape innovative AI product experiences, and driven to make a significant impact on our customers.</div><p><b><br>
Responsibilities</b></p><ul><li>
Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists.</li><li>
Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and implementing solutions that support broader AI initiatives.</li><li>
Collaborate with product managers, software engineers, and designers in designing experiments and minimum viable products, learning to integrate insights from advanced AI systems.</li><li>
Discover, process, and train on huge data sets.</li><li>
In partnership with product managers and analysts, run regular A/B tests, perform statistical analysis, draw conclusions on the impact of your models, and communicate results to peers and leaders.</li><li>
Research and explore new technology shifts, particularly in generative AI and advanced ML, to understand their potential connection with customer benefits and inform ongoing AI strategy.</li></ul><p><b><br>
Qualifications</b></p><ul><li>
MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.</li><li>
1+ years of experience in modern AI/ML tools and proficient in Python and typical AI/ML libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus.</li><li>
1+ years of experience in machine learning techniques such as classification, regression, neural networks, large language models, recommender systems, natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus.</li><li>
Familiar with the latest trends and applications of generative AI including agentic applications.</li><li>
Efficient in SQL</li><li>
Comfortable in a Linux environment</li><li>
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.</p><p></p><p><br>
The expected base pay range for this position is:</p><p><b>
Bay Area California</b> $ 149,000- 202,000</p><br>
<p></p>
</div><div> <p>Saved</p></div></div><p></p>

AI Scientist 2

<div><p><b>Be part of something groundbreaking</b></p><p></p><p>
At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond, and we need your help.
</p><p></p><p>With the support and investment needed to explore new frontiers in generative AI, you&rsquo;ll be working alongside talented colleagues, innovating and leading projects that will transform how we manage risk and serve our customers.
</p><p></p><p>This team is central to our vision of the future and the core of our business offering. We will incorporate best-in-class engineering and product management principles, and your guidance and collaboration will be critical to its success.</p><p></p><p>
To rapidly advance and innovate, we need your skills and expertise to build and scale world-class products. If you&rsquo;re excited by the opportunity to create meaningful impact, we&rsquo;d love to hear from you.</p><p></p><p><b>
Who we are</b></p><p></p><p>
AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. We provide world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions.
</p><p></p><p>At AIG, we&rsquo;re reshaping how the world manages risk, and we&rsquo;re inviting you to be a key part of that transformation. As our Data Scientist you will have the opportunity to make a meaningful impact, leveraging and further developing your skills to guide groundbreaking AI initiatives. If you&rsquo;re looking for a place to grow your career and where your contributions will shape the future, AIG is where you belong.
</p><p></p><p><b>How you will create impact:</b></p><p></p><p>
This role is critical to innovation team in AICOE. Through this initiative, we are building a strategic capability to Implement Advanced AI Techniques, including RAG, Knowledge Graph, Agentic design, POC and Model Context Protocol MCP with evaluators to ensure reliability and performance. This role is critical to contribute to the invention in AIG GenAI&rsquo;s projects and AIG&rsquo;s Intelligent property, which keeps AIG leading the insurance industry in Gen AI area.</p><p></p><p><b>
Your responsibilities include:</b></p><ul><li><p>
GenAI research and application: Stay up to date with the latest advancements in GenAI and apply this knowledge to develop innovative solutions that drive member and business value. This includes designing and implementing novel architectures, algorithms, and techniques for LLMs, multi-modal models, and other GenAI applications. Be accountable for high-quality data science solutions with respect to accuracy, coverage, scalability, stability, and business adoption</p></li><li><p>
Agentic system development and optimization: Design and build enterprise level Agentic solution, including data processing and curation, to mitigate biases and ensure high-quality datasets for optimized model performance. Influence efficient Agentic architecture design for optimal performance, efficiency, and scalability</p></li><li><p>
Research strategy and direction: Define and drive the long-term research vision and strategy for GenAI in the organization, aligning with business objectives and goals. This includes identifying key research areas, setting ambitious goals, and developing achievable milestones. Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability</p></li><li><p>
Collaboration and communication: Effectively collaborate with and communicate complex research concepts to cross-functional teams, including engineering, product, and business stakeholders. This includes distilling research findings into actionable insights, providing technical guidance, and influencing the adoption of GenAI solutions</p></li><li><p>
GenAI thought leader: Advance expertise in GenAI through continuous learning, attending conferences, and engaging with the broader research community. Contribute to the team's knowledge base and advance the field through publications, presentations, and sharing of insights and expertise</p></li></ul><p></p><p><b>
What is needed to be successful:</b></p><ul><li><p>
Ph.D. with 2+ years&rsquo; industry experience</p></li><li><p>
Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences.</p></li><li><p>
Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, Operation, claims automation, customer servicing, and risk assessment</p></li><li><p>
Experience implementing Agentic AI frameworks, such as CrewAI, Claude Agent sdk and LangChain, to build autonomous systems in production settings</p></li><li><p>
Strong ML, Deep Learning and Gen AI hand-on and scientific research skills</p></li><li><p>
Have produced novel research related to agentic design and implementation</p></li><li><p>
Experience in designing and implementing Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools</p></li><li><p>
Specialized expertise in other topics like fine-tuning, RLHF, RAG and Knowledge graph etc.</p></li><li><p>
Experience in designing and implementing Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools</p></li><li><p>
Knowledge of Palantir platforms will be plus</p></li><li><p>
Ph.D. Publication with GenAI and/or Agentic is a plus</p></li><li><p>
Are passionate about getting your work into the hands of real users and - more broadly - democratizing access to modern AI technology.</p></li><li><p>
Are motivated by working on Gen AI research that - contrary to the general trend in the field - will be disclosed to the public.</p></li><li><p>
Strong communication skills and a desire to work on a small, fast-paced team</p></li></ul><p></p><p>
Veterans are encouraged to apply.</p><p><br>
#LI-RG2 #LI-AIG #AI #GenAI #artificialintelligence #DataScience #BigData</p><p></p><p>
At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.</p><p></p><p><b>
Enjoy benefits that take care of what matters</b></p><p>
At AIG, our people are our greatest asset. We know how important it is to protect and invest in what&rsquo;s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security&mdash;as well as your professional development&mdash;to bring peace of mind to you and your family.</p><p></p><p><b>
Reimagining insurance to make a bigger difference to the world</b></p><p>
American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world&rsquo;s most far-reaching property casualty networks. It is an exciting time to join us &mdash; across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.</p><p></p><p><b>
Welcome to a culture of </b><b>inclusion</b></p><p>
We&rsquo;re committed to creating a culture that truly respects and celebrates each other&rsquo;s talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG&rsquo;s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.</p><p></p><p><i>
AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.</i></p><p></p><p>
AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.
</p><p></p><div><div><div><div><div><div><div><p>Functional Area:</p></div></div></div></div></div></div></div>
DT - Data<p></p>
AIG PC Global Services, Inc.</div><p></p>

Ph.D. Research Data Scientist, GenAI

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

The Home Depot

<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

Emory Healthcare

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 <strong>
  Emory Healthcare is where belonging meets purpose.
  <br/>
  <br/>
 </strong>
 Emory Healthcare has a unique and high-impact opportunity for a Nurse Scientist in Ambulatory Care to join our growing ambulatory and outpatient clinical enterprise.
 <br/>
 <br/>
 We are seeking a clinically grounded Nurse Scientist who will embed evidence-based practice, quality improvement, and applied research directly into ambulatory operations &mdash; partnering with clinical leaders and frontline teams to improve outcomes, workforce experience, and value-based performance.
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 JOB DESCRIPTION:
 <br/>
 <br/>
 <strong>
  The ideal candidate will have a a PhD or equivalent doctoral degree in nursing or related field with a strong background in research and evidence-based practices in clinical operations.
  <br/>
  <br/>
 </strong>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD in nursing preferred; actively pursuing a nursing PhD a minimal requirement.
  </li>
  <li>
   Five years of experience in nursing practice.
  </li>
  <li>
   Experience in study design and the research process.
  </li>
  <li>
   Must have a valid, active unencumbered Nursing license or temporary permit approved by the Georgia Licensing Board.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  JOIN OUR TEAM TODAY
 </strong>
 ! Emory Healthcare (EHC), part of Emory University (EUV), is the most comprehensive academic health system in Georgia and the first and only in Georgia with a Magnet&reg; designated ambulatory practice. We are made up of 11 hospitals-7 Magnet&reg; designated, the Emory Clinic, and more than 425 provider locations. The Emory Healthcare Network, established in 2011, is the largest clinically integrated network in Georgia, with more than 3,450 physicians concentrating in 70 different subspecialties.
 <br/>
 <br/>
 <strong>
  Additional Details
  <br/>
  <br/>
 </strong>
 Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.
 <br/>
 <br/>
 Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare&rsquo;s Human Resources at careers@emoryhealthcare.org . Please note that one week's advance notice is preferred.
</div>


Nurse 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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Associate Data Scientist

<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

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