ai scientist 2 Jobs in Atlanta United States

ai scientist 2

civil engineer iii Jobs in Atlanta United States

civil engineer iii

claims workforce management analyst Jobs in Atlanta United States

claims workforce management analyst

data engineer - ii Jobs in Atlanta United States

data engineer - ii

engineer - warehouse management system Jobs in Atlanta United States

engineer - warehouse management system

industrial engineer 2 3 years experience for a workforce modeling and optimization role

PI Technologies LLC

looking for candidates comfortable with:<ul><li>Python</li><li>LP/MILP modeling (Cplex is a plus)</li><li>AWS / Databricks</li><li>Data extraction &amp; cleaning</li><li>Headcount / staffing analysis</li></ul>The role focuses on workload modeling, staffing optimization, and translating model outputs business recommendations.Pay: $25.00 - $30.00 per hourWork Location: Hybrid remote in Atlanta, GA 30328

Industrial Engineer (2–3 years experience) for a workforce modeling and optimization role.

The Home Depot

<div>Position Purpose:
The Manager, Analytics &amp; Workforce Optimization leads the analytical, reporting, workforce planning, and applied data science functions that power operational decision-making across HDES. This role serves as both a producer of high‑impact analytical work and a leader for one Analyst. The manager owns HDES&rsquo; operational dashboards, workflow modeling, workforce‑management insights, forecasting support, and optimization analytics enabling performance, productivity, and service reliability. 
Key Responsibilities:<ul><li>
Analyze the fundamental components of problems and communicate the correct course of action to the team and the resolution to the field.</li><li>
Develop and implement changes that improve overall store operations processes that are likely to add value to the stores' bottom line. Manage/drive core store operations projects and/or process improvements.</li><li>
Manage day to day processes related to their areas of responsibility. Create and maintain project work plans.</li><li>
Manage issues and roadblocks that arise related to their area of responsibility.</li><li>
Respond proactively to unanticipated store needs arising out of a variety of inputs. Manage action steps necessary for successful execution of both strategic projects/initiatives and process improvement.</li><li>
Communicate effectively and build strong, effective partnerships with the field/stores and throughout The Home Depot.</li><li>
Prepare and deliver high-level insights and recommendations based on multiple analyses of industry/ business, competitive landscape, consumer data for area of expertise.</li><li>
Provide guidance and training specific to area of expertise. Assist in collaborating findings from data and making verbal/written recommendations. Demonstrate proficiency/understanding of specific processes.</li><li>
Maintain knowledge base regarding specific operations and processes within store operations</li><li>
Responsible for appropriate selection, terminations, performance appraisal and professional development of support team (Business Analysts).</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Direct and indirect reports typically include 2-5 Business Analysts.</li><li>
Typically requires frequent persuasion or influencing of others. Usually assigns and reviews work of others.</li><li>
Typically procedures for analyzing situations and making conclusions are very diverse.</li><li>
Typically considers among many different options or procedures when solving problems.</li><li>
Typically, once given general assignments, determines priorities and defines what should be done and how to do it.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li><li>
Under constant pressure to continuously meet tight deadlines, demanding quotas and/or must regularly deal with difficult situations.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li><ul><li>Advanced analytics in Excel, Tableau, SQL; Python for modeling and automation.</li><li>Data modeling, forecasting, clustering, and predictive analysis.</li><li>Strong communication and storytelling for senior leaders.</li><li>Understanding of HDES operational workflows and service models.</li><li>Ability to coach an early‑career analyst.</li></ul></li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Strong business, functional and/or store knowledge for their area of responsibility</li><li>
Leadership and management experience preferred</li><li>
Strong operations, retail and/or field experience required</li><li>
Ability to partner/communicate well with the field/stores</li><li>
High sense of urgency in responding to field needs</li><li>
Strong big picture; strategic thinking skills</li><li>
Strong quantitative skills such as statistics and data analysis.</li></ul></div>

Manager, Analytics - Workforce Optimization (Equipment Services)

Sequium Asset Solutions

<div>Job title: Entry Level Data Scientist - Collections Analytics
Location: Atlanta, GA or Remote
Employment type: Full-time
Reports to: VP Strategic Initiatives
About us
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, Tomorrow is Today.
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
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.
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.
Key responsibilities<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>
Required qualifications<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>
Preferred (nice-to-have)<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>
Technical stack expectations<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>
Success metrics (first 6&ndash;12 months)<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>
Behavioral competencies<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>
Application process
Submit resume, transcript (unofficial acceptable), and a one-page project summary showing relevant work.</div>

Entry Level Data Scientist - Collections Analytics

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.
In this role, you will:<ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.
Required Qualifications<ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul>
Preferred Qualifications<ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul>
Education<ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Senior Data Engineer

Cortland

<div>
 
 Role Overview
 
 
 
 Cortland Asset Management , LLC has a full-time opening for Lead Data Engineer in Atlanta, GA 30326. Duties are to design the architecture of a data platform. Develop, customize and manage integration tools, databases, and analytical systems. Build data pipelines, test reliability and performance of the system. Responsible to manage data and meta-data and structure it appropriately in a database management system. Improve awareness and democratize data across organization by publishing data catalogs. Provide data access tools for advanced and business users to extract data, view data, and visualizations. Responsible for performance optimization at database layer and data ingestion frameworks. Build continuous integration and deployment models and automate release pipelines. Support deployment of machine learning models using the CI/CD pipelines. Work closely with infrastructure team to build a secure and reliable eco-system. Work with business teams to solve real business problems using data and provide needed insights. Bachelor&rsquo;s Degree or its foreign equivalent in Comp. Science, Engineering, Math, Stats., or related quantitative field. Plus 5 years&rsquo; experience in job offered or closely related technical position. Experience must include the following: 2 years with Azure Cloud Technologies (Data Factory, PowerShell, Data Lake and Data Lake Analytics); 5 years with Data Modeling and ETL tools, Business Intelligence platforms, API Integration, and Object-Oriented Programming (OOP) and utilizing modern technologies (Python, Git, Jenkins, Octopus Deploy, Tensorflow, Domo, ArcGIS, E/R Studio, RedGate DLM Automation and 1 year with Azure HDInsight + Spark, Azure Databricks, Azure Stream Analytics. Email resumes to: careers@cortland.com.
</div>

Lead Data Engineer - Atlanta, GA

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.<h1 class="jobSectionHeader">
Position Summary</h1>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.
As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.
As a Data Engineer, you will:<ul><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li></ul>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.
Required Qualifications<ul><li>
1+ years of experience with SQL, NoSQL</li><li>
1+ years of experience with Python (or a comparable scripting language)</li><li>
1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
1+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
1+ years of experience with reporting/analytic tools</li><li>
1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
1+ years of experience with Big data and cloud architecture</li><li>
1+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP)</li><li>
1+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
1+ years of experience with real-time and streaming technology (i.e. Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li></ul>
Preferred Qualifications
<ul><li>Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Understanding of software development methodologies including waterfall and agile</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul>
Education<ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$64,890.00 - $173,040.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Data Engineer

<div>Position Purpose:
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.
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.
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. 
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. 
Key Responsibilities:<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> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to manager or above</li><li>
This position has 0 Direct Reports and leads/manages projects</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><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> 
Preferred Qualifications:<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> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
10</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
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>

Lead Data Scientist, Online Merchandising

Explore 736+ Industrial engineer 2 3 years experience for a workforce modeling and optimization role in Atlanta United States this March. Find roles across top companies and apply now to boost your career.