analyst, data analytics (all levels)

analyst, inventory planning Jobs in Atlanta

analyst, inventory planning

data architect - hospital patient monitoring (south zone) Jobs in Atlanta

data science manager - space planning intelligence Jobs in Atlanta

data scientist, online

data science manager space planning intelligence

The Home Depot

<div>Position Purpose:
We are transforming how merchandising decisions are made through AI-powered solutions and automation. The Data Science Manager &ndash; Micro Space Intelligence plays a critical role in the technical design and delivery of AI-enabled planogram automation capabilities. This role partners closely with Strategy and Process teams to ingest business requirements and translate them into a scalable technical roadmap, overseeing the development of business rules, AI/ML algorithms, and optimization techniques that accurately reflect merchandising intent. As the technical owner of the solution, this leader designs the end-to-end technical strategy to integrate tools and platforms together into a cohesive, scalable process, ensuring the underlying math, automation logic, and learning systems are sound, efficient, and adaptable.
As a people and technical leader, the Data Science Manager leads and mentors a team of data scientists and solution engineers, setting coding standards, QA processes, and deployment best practices to ensure solutions are robust, maintainable, and production-ready. Acting as a trusted technical advisor to Strategy and business partners, this role evaluates proposed initiatives for technical feasibility, identifies advanced analytical and AI opportunities, and translates high-level business goals into impactful automated systems. The role also collaborates closely with fellow Data Science Managers to align approaches, manage talent effectively, and deliver clear, executive-level communication that drives alignment across all levels of the organization. 
Key Responsibilities:<ul><li>
40% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments</li><li>
25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts</li><li>
15% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management</li><li>
20% 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; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Senior Manager or above</li><li>
This position has Direct Reports &amp; manages programs</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related technical field.</li><li>
7+ years of industry experience in data science, applied machine learning, or software engineering, and 2+ years in a people or technical leadership role.</li><li>
Strong foundation in applied data science with experience building and maintaining production-grade software, coupled with the ability to set technical direction, establish standards, and drive data science and engineering excellence from concept through production at scale.</li><li>
Hands-on experience developing AI-powered tools and platforms that integrate seamlessly with existing enterprise software ecosystems.</li><li>
Proficiency in python and solid understanding of engineering best practices, including APIs, microservices, version control, CI/CD, testing and deployment.</li><li>
Experience designing and operating large-scale data pipelines and distributed systems with AI/ML components, preferably on cloud platforms such as GCP and VertexAI.</li><li>
Familiar with microservices architectures and deploying models and APIs in containerized, cloud-neutral environments.</li><li>
Familiar with or contributed to AI agents or agentic applications in real-world, production settings.</li><li>
Proven ability to translate complex business processes and strategy into scalable, maintainable architectures, including well-orchestrated data and ML pipelines, while clearly communicating technical constraints and trade-offs to non-technical stakeholders.</li><li>
Domain experience in retail, merchandising, e-commerce, or supply chain, or familiarity in space intelligence concepts such as store layout optimization, merchandising analytics, computer vision, and LLM-based solutions.</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>
8</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 Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</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>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Data Science Manager - Space Planning Intelligence

<div>
 Req167506
 
 
 
 Position Purpose
 
 
 
 The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
 
 
 As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
 </li>
 <li>
 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
 </li>
 <li>
 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
 </li>
 <li>
 15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 This position typically reports to Manager or above
 </li>
 <li>
 This position has 0 Direct Reports
 
 
 </li>
 </ul>
 
 Travel Requirements
 
 
 
 <ul>
 <li>
 Typically requires overnight travel less than 10% of the time.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Must be eighteen years of age or older.
 </li>
 <li>
 Must be legally permitted to work in the United States.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
 </li>
 <li>
 4+ years of experience in business intelligence and analytics
 </li>
 <li>
 Working knowledge of Microsoft Excel and Power Point
 </li>
 <li>
 Experience in a modern scripting language (preferably Python)
 </li>
 <li>
 Proficient running queries against data (preferably with Google BigQuery or SQL)
 </li>
 <li>
 Proficient with data visualization software (preferably Tableau)
 </li>
 <li>
 Proficient utilizing statistical techniques to identify key insights that help solve business problems
 </li>
 <li>
 Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
 </li>
 <li>
 Demonstrated experience in predictive modeling, data mining and data analysis
 
 
 </li>
 </ul>
 
 Minimum Education
 
 
 
 <ul>
 <li>
 The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 <ul>
 <li>
 No additional education
 
 
 </li>
 </ul>
 
 Minimum Years Of Work Experience
 
 
 
 <ul>
 <li>
 3
 
 
 </li>
 </ul>
 
 Preferred Years Of Work Experience
 
 
 
 <ul>
 <li>
 No additional years of experience
 
 
 </li>
 </ul>
 
 Minimum Leadership Experience
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Preferred Leadership Experience
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Certifications
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Competencies
 
 
 
 <ul>
 <li>
 Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
 </li>
 <li>
 Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
 </li>
 <li>
 Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
 </li>
 <li>
 Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
 </li>
 <li>
 Customer Focus: Building strong customer relationships and delivering customer-centric solutions
 </li>
 <li>
 Drives Results: Consistently achieving results, even under tough circumstances
 </li>
 <li>
 Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
 </li>
 <li>
 Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
 </li>
 <li>
 Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
 </li>
 <li>
 Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
 </li>
 </ul>
</div>

Data Scientist, Online

GoHealth Urgent Care

<div>You&rsquo;re more valuable than ever &ndash; And that&rsquo;s just how we&rsquo;ll make you feel.
Job Summary 
The Data Product Owner is responsible for leading the development and delivery of data products 
that support business strategy and decision-making. This role collaborates with cross-functional 
teams&mdash;including stakeholders, data engineers, analysts, and business units&mdash;to define product 
vision, manage the product backlog, and ensure execution of data initiatives aligned with 
organizational goals and user needs. 
Qualifications 
Education Required:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Information Technology, Business, or a related field.</li></ul>
Work Experience Required:<ul><li>
3+ years&rsquo; experience as a Product Owner, Product Manager, or similar role in a data-driven environment.</li><li>
Strong background in data engineering, data analytics, or data science.</li><li>
Experience working with cloud platforms (e.g., AWS, Google Cloud, Snowflake) and data tools (e.g., SQL, ETL, BI tools).</li></ul>
Preferred Qualifications, Education, Licenses, Certifications, Experience, etc.:<ul><li>
Experience in data modeling, API management, and machine learning would be advantageous.</li><li>
Certified Scrum Product Owner (CSPO) or equivalent Agile Product Owner certification.</li><li>
Certified Product Manager (CPM) or Pragmatic Institute Certification.</li><li>
DAMA Certified Data Management Professional (CDMP) or equivalent data governance/data management certification.</li><li>
Tableau Desktop Specialist or Tableau Certified Data Analyst.</li><li>
dbt Fundamentals or dbt Advanced Certification.</li><li>
Snowflake SnowPro Core Certification.</li><li>
Certification in Agile (e.g., Certified SAFe Product Owner/Product Manager).</li><li>
Experience working with data products or platforms like Snowflake, BigQuery, or Azure Data Lake.</li><li>
A Master&rsquo;s degree is a plus</li></ul>
Knowledge, Skills, and Abilities<ul><li>
This role involves interaction and collaboration with other departments and requires excellent judgment and interpersonal skills.</li><li>
Strong understanding of Agile methodologies with experience managing product backlogs using tools such as Jira, Azure DevOps, or similar platforms.</li><li>
Excellent communication and leadership skills, with the ability to translate complex technical concepts into clear business language.</li><li>
Analytical mindset with the ability to interpret complex data and make informed, data driven decisions.</li><li>
Knowledge of data governance, data security, and compliance best practices.</li><li>
Proven ability to manage stakeholders and collaborate effectively with cross-functional teams.</li></ul>
Essential Duties and Responsibilities 
Product Strategy &amp; Vision<ul><li>
Define and communicate the vision and roadmap for data products, ensuring alignment with business goals and stakeholder needs.</li><li>
Collaborate with stakeholders to understand business objectives, user requirements, and product opportunities.</li><li>
Prioritize and manage the data product backlog in alignment with organizational goals, ensuring that all features, enhancements, and technical improvements are documented, approved, and scheduled in accordance with established processes.</li><li>
Translate approved business requirements into clear, detailed user stories and acceptance criteria that provide actionable direction for technical teams.</li><li>
Collaborate with Data Engineering, Business Intelligence, and Data Governance teams to maintain, refine, and update the backlog, ensuring alignment with regulatory, operational, and security standards.</li><li>
Ensure backlog items are accurately documented, appropriately prioritized, and properly estimated, in compliance with Agile delivery practices and internal change management procedures.</li><li>
Support sprint planning and release management activities by confirming that all backlog items meet defined readiness criteria prior to development.</li><li>
Maintain records of backlog prioritization decisions and stakeholder approvals in accordance with GoHealth Urgent Care policies and applicable data governance frameworks.</li></ul>
Stakeholder Engagement<ul><li>
Act as the primary liaison between business stakeholders and technical teams to ensure alignment and transparency</li><li>
Facilitate regular stakeholder meetings to gather feedback, resolve issues, and adjust the data product roadmap</li></ul>
Development Oversight<ul><li>
Guide cross-functional teams through the data product development lifecycle, from concept to delivery</li><li>
Ensure data products are built to specification, meet quality standards, and are delivered on time</li><li>
Collaborate on acceptance criteria and review completed work to confirm it meets the definition of done</li></ul>
Data Governance &amp; Quality<ul><li>
Ensure data products maintain integrity, accuracy, and accessibility</li><li>
Support the development and implementation of data governance frameworks and policies</li></ul>
Market &amp; User Research<ul><li>
Conduct market and competitive analysis to identify opportunities and gaps in data products</li><li>
Engage with end users to gather insights, identify pain points, and validate product value</li></ul>
Product Metrics &amp; Performance<ul><li>
Define and monitor KPIs to evaluate product performance and drive continuous improvement</li><li>
Present performance insights to leadership, highlighting key metrics, risks, and opportunities</li></ul>
Innovation &amp; Improvement<ul><li>
Stay current with &bull; Stay current with industry trends in data, analytics, and technology</li><li>
Recommend new tools, technologies, and methodologies to enhance data product capabilities industry trends in data, analytics, and technology</li><li>
Recommend new tools, technologies, and methodologies to enhance data product capabilities</li></ul>
GoHealth Core Values 
GoHealth&rsquo;s Core Values, listed below, are essential functions of this position:<ul><li>
Collaboration: Takes ownership for collectively establishing productive partnerships and relationships and seek to gain joint understanding of priorities and objectives so that the greater good of the organization and those we serve is always at the forefront.</li><li>
Innovation: Consistently uses good judgment, applying creativity to overcome obstacles and increasing effectiveness and efficiency through process and other forms of innovation.</li><li>
Diversity &amp; Inclusion: Fosters diversity and inclusion, to be able to better understand team members, our customers and partners. Engages the strengths and talents of each GoHealth team member, creating an environment of involvement, respect and connection where the richness of ideas, backgrounds and perspectives are harnessed.</li><li>
Courage &amp; Integrity: Models and practices the highest ethical and professional standards; demonstrates pride and personal interest in our patients, partners and fellow team members, deeply engaging in the business. Makes decisions, with a focus on doing the right thing; treats team members, our customers, partners and vendors with dignity, consideration, open-mindedness and respect.</li><li>
Accountability: Always shows initiative, demonstrates a bias to action and gets things done. Actively accepts responsibility for diverse roles, obligations and actions that positively influence patient and customer outcomes, our partnerships and the healthcare needs of our communities.</li></ul>
Physical Requirements<ul><li>
Office Environment: Tasks may be conducted within a climate-controlled office setting.</li><li>
Physical Activity: The role may require the ability to lift, carry, push, or pull materials, supplies, and equipment (up to 25 lbs.). Duties typically involve a combination of sitting, standing, and walking, with frequent changes in position.</li><li>
Travel: Travel may be required, including travel between Company locations and out-oftown destinations as needed. Up to 10%.</li><li>
Safety Equipment: May require the use of safety equipment for infection prevention.</li></ul>
_________________________________________________________________________________________________________ 
Note: This Job Description is not inclusive of all the duties of the position. You may be asked by Leaders 
to perform other duties. Leadership may revise this job description at any time.
Set up email alerts as new job postings become available that meet your interest!
All qualified persons are granted an equal opportunity for employment without regard to race, color, religion, sex, sexual orientation and gender identity or expression, age, national origin, citizenship status, disability, genetic information, medical condition, family care leave status, pregnancy or pregnancy-related condition, otherwise qualified disabled or veteran status. The company will comply with all fair employment laws in each of the jurisdictions where we conduct business. 
 
For applicants in California, please review our California Consumer Privacy Statement here. https://www.gohealthuc.com/privacy-policy</div>

Data Product Owner

<div>Position Purpose:
We are transforming how merchandising decisions are made through AI-powered solutions and automation. This Sr. Data Scientist plays a key role to build scalable, mathematical algorithms in production that directly impact retail and merchandising by solving complex, high-value business problems. The position focuses on science-driven models, operating at the intersection of data science, process automation, cloud deployment, and software production to deliver reliable decision systems that increase efficiency and improve customer experience.
This role leads Machine Learning initiatives end-to-end, from cross-functional collaboration and business problem framing through technical design, development, deployment, and ongoing monitoring and enhancement. The Sr. Data Scientist partners closely with product managers, software engineers, and business stakeholders to identify high-impact opportunities, translate into technical requirements, and deliver scalable solutions in production. The role is responsible for communicating insights and recommendations to both technical and non-technical audiences, mentoring data scientists on projects, and ensuring models perform effectively based on real-world outcomes. 
Key Responsibilities:<ul><li>
35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; 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>
30% Project Management &amp; Team Support - Work with project teams and business partners to determine project goals; 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</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 general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage</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; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master&rsquo;s or PhD in Data Science, Statistics, Economics, Applied Math, Engineering, or other quantitative and engineering fields.</li><li>
6+ years of hands-on experience developing and deploying Machine Learning models into production environments and integrating into scalable data pipelines and decision systems (e.g., via APIs, microservices, or batch pipelines), ensuring reliability, scalability, traceability, and interoperability.</li><li>
Deep expertise in causal inference (e.g., Difference-in-Differences, Double ML, Synthetic Control) and discrete choice models, including elasticity, substitution and demand transfer.</li><li>
Solid foundation in machine learning models (e.g., regularized regression, tree-based methods such as XGBoost, and neural networks)</li><li>
Strong experience with forecasting models (e.g., time-series forecasting. ARIMA, Bayesian and probabilistic methods or deep learning-based approaches).</li><li>
Strong understanding of data structures, and modern cloud ecosystems (GCP, AWS, etc.).</li><li>
Proficient with data visualization software (preferably Tableau).</li><li>
Familiarity with GenAI, LLM and Agentic framework, with experience integrating LLM-based reasoning into ML-driven solutions.</li><li>
Comfortable collaborating with front-end developers or building light UI prototypes (e.g., Streamlit, React).</li><li>
Demonstrated strength in business communication and technical leadership, with the ability to clearly explain complex statistical and ML concepts to non-technical stakeholders in a way that builds trust and drives adoption.</li><li>
Experience solving retail or merchandising problems such as assortment &amp; space optimization, demand transfer, consumer choice models, demand forecasting.</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>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</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>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</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>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Sr Data Scientist- Assortment and Space Planning (Core ML)

Realign

<div>Atlanta, Georgia 30033 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Job Title : Senior R Python Developer</div><div>
Location: Atlanta, GA / Remote</div><div>
FTE Only</div><div></div><div> 
Job Description</div><div></div><div> 
Must Have Technical/Functional Skills</div><div>
Experience administering RStudio/Posit environments. Advanced knowledge of R, Python, and related data science package ecosystems. Hands- on experience managing Posit Workbench, Connect, and GPU servers in enterprise environments. Experience with Linux Shell Scripting. Strong understanding of SAS to R/Python migration methodologies and open-source modernization strategies.</div><div></div><div> 
Roles &amp; Responsibilities</div><div>
We are seeking a highly skilled Senior R/Python Developer to join our team. In this role, you will design, develop, and maintain scalable data processing, analytical, and statistical solutions that support advanced analytics, business intelligence, and operational reporting. You will work closely with stakeholders to understand analytical needs, translate them into robust technical implementations, and ensure the reliability, accuracy, and consistency of data-driven outputs.</div>
You will collaborate with data scientists, data engineers, analysts, and business teams to deliver high quality, efficient, and well optimized analytical applications and models. Success in this position requires strong programming expertise in R and Python, solid SQL and data manipulation skills, and the ability to thrive in a fast paced, collaborative environment. If you are passionate about building sophisticated analytical systems, solving complex data challenges, and elevating automation and data quality, we would be excited to connect with you. 

Required Skills
CLOUD DEVELOPER SQL APPLICATION DEVELOPER</div>

Senior R Python Developer (Remote)

Emory Healthcare

<div>Overview:
<div>
Be inspired. Be valued. Belong.</div><div></div><div> 
At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:</div><ul><li>
Comprehensive health benefits that start day 1</li><li>
Student Loan Repayment Assistance &amp; Reimbursement Programs</li><li>
Family-focused benefits
</li><li>Wellness incentives</li></ul><div>
Ongoing mentorship, development, leadership programs...and more!</div>
Description:
<div>
RESPONSIBILITIES:</div><ul><li>
Acts as a project leader responsible for the successful planning, scheduling, and completion of multiple operations planning and improvements projects.</li><li>
Utilizes a systems methodology to analyze organizational systems and processes, to make recommendations for operation improvements and to coordinate the implementation of changes, working through individual and team approaches.</li><li>
Coordinates and supervises the work of a project team.</li><li>
Reviews and coordinates team member work plans.</li><li>
Facilitates and guides redesign teams and process improvement teams. Works with manager to formulate plan for professional development.</li><li>
Attends educational in-services as appropriate.</li><li>
Participates in professional activities and organizations to maintain knowledge of current trends, practices, and developments.</li><li>
Assists in analysis of facility needs including work flow analysis, space programming, functional layout design, and simulation technology.</li></ul><div></div><div> 
MINIMUM QUALIFICATIONS:
</div><ul><li>A bachelor's degree in industrial engineering or a related field.</li><li>
Three years directly related work experience.</li><li>
Masters degree may substitute for experience.</li><li>
Experience as a project leader.</li><li>
A working knowledge of multiple computer software applications.</li></ul>
Additional Details:
<div>
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.</div><div></div><div> 
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></div>

Management Engineer

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

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