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data scientist, online

entry level data scientist - collections analytics Jobs in Atlanta

data scientist

The Home Depot

<div>
 Req167506
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  Position Purpose
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 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.
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 <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.
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  Key Responsibilities
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   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
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   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>
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   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
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  Direct Manager/Direct Reports
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   This position typically reports to Manager or above
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   This position has 0 Direct Reports
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  Travel Requirements
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   Typically requires overnight travel less than 10% of the time.
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  Physical Requirements
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   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.
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  Working Conditions
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   Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
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  Minimum Qualifications
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   Must be eighteen years of age or older.
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   Must be legally permitted to work in the United States.
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  Preferred Qualifications
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   Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
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   4+ years of experience in business intelligence and analytics
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   Working knowledge of Microsoft Excel and Power Point
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   Experience in a modern scripting language (preferably Python)
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   Proficient running queries against data (preferably with Google BigQuery or SQL)
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   Proficient with data visualization software (preferably Tableau)
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   Proficient utilizing statistical techniques to identify key insights that help solve business problems
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   Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
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   Demonstrated experience in predictive modeling, data mining and data analysis
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  Minimum Education
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   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.
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  Preferred Education
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   No additional education
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  Minimum Years Of Work Experience
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   3
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   No additional years of experience
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   None
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  Preferred Leadership Experience
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   None
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   None
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  Competencies
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   Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
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   Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
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   Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
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   Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
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   Customer Focus: Building strong customer relationships and delivering customer-centric solutions
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   Drives Results: Consistently achieving results, even under tough circumstances
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   Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
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   Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
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   Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
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   Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
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 </ul>
</div>


Data Scientist, Online

Sequium Asset Solutions

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

Entry Level Data Scientist - Collections Analytics

<div><p><b>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

<div><p><b>Position Purpose:</b></p><p>
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.</p><p>
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.</p><p><b><br>
Key Responsibilities:</b></p><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><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position 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>
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><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>
5</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>
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><p></p>

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

Southern Company

<div><p>The position is responsible for quantitative analysis on structured pricing products and developing tools and models for forecast and valuation. This role maintains the existing quantitative models and provides detailed report on model results timely and accurately. The position is accountable for continuously improving models, analysis and database across different markets. The candidate must be able to develop and implement advanced modeling methodologies to foster company-wide business decision making. This position also requires establishing close working relationship with other teams across the enterprise.</p>
<p><b>This position may be filled as Data Analytics Analyst (Grade 4), Senior Data Analytics Analyst (Grade 5), or Staff Data Analytics Analyst (Grade 6). Individuals who demonstrate advanced skills in terms of work experience, education, and certifications may be eligible for the more advanced position.</b></p>
<p><b>Functional Expertise:</b></p>
<ul><li><div>Analyze and organize key customer data for use in pricing and planning.
</div></li><li><div>Manage, improve, and validate existing predicative models, including the running of monthly reports that summarize key forecasting results to be used throughout the organization.</div></li>
<li><div>
Develop new statistical models to support special project analysis as requested.</div></li>
<li><div>
Leveraging innovative technologies such as machine learning and AI techniques to foster data analytical capability and support company growth strategy</div></li>
</ul>
<p><b>Business Acumen:</b></p>
<ul><li><div>Understand the importance of Data Analytics to the profitability of the company</div></li>
<li><div>
Constantly look for ways to improve the current models in multiple markets to mitigate potential model risks and enhance profitability</div></li>
<li><div>
Thorough knowledge of quantitative methods, statistical models, and optimization concepts and the ability to apply them to business situations</div></li>
<li><div>
Understand how data can be used and how data quality can be improved to discover and mitigate risks inherent in our business</div></li>
</ul>
<p><b>Engagement:</b></p>
<ul><li><div>Exhibit high level of personal responsibility to data analysis.</div></li>
<li><div>
Support internal and external auditing on models and analytics tools</div></li>
<li><div>
Collaborate with other teams to develop modeling tools and analysis reports and communicate projects results/status to appropriate audience</div></li>
<li><div>
Partner with management in decision making processes and influence the actions of others to ensure the achievement of business goals</div></li>
</ul>
<p><b>Driving Results:</b></p>
<ul><li><div>Collect, organize, and process complex data and information from multiple sources, verify its accuracy, and effectively build analytical models based on the data to enhance business profitability</div></li>
<li><div>
Drive efficiencies through continuous process improvement without implementing undue complexity</div></li>
<li><div>
May direct the work of other lower-level professionals</div></li>
</ul>
<p><b>Education, Certifications/Licenses:</b></p>
<p><b>Required:</b></p>
<ul><li>Bachelor&rsquo;s degree in mathematics, economics, engineering, or similar discipline.</li>
</ul>
<p><b>Preferred:</b></p>
<ul><li>Graduate degree in quantitative discipline</li>
</ul>
<p><b>DATA ANALYTICS ANALYST (Grade 4)</b></p>
<p><b>Related Work Experience:</b></p>
<p><b>Required:</b></p>
<ul><li>3-5 years&rsquo; experience in data analytics and database management</li>
</ul>
<p><b>Preferred:</b></p>
<ul><li><div>Utility, natural gas or other energy industry experience</div></li>
<li><div>
Experience with Databricks and/or AI Cloud-Based Solutions
</div></li></ul><p><b>Specific Skills &amp; Knowledge:</b></p>
<p><b>Required:</b></p>
<ul><li><div>Advanced proficiency in MS Office Suite such as Excel</div></li>
<li><div>
Knowledge of data base management systems such as SQL Server or MySQL</div></li>
<li><div>
Proven record of experience working with large databases and use of statistical models for valuation and prediction.</div></li>
<li><div>
Ability to manage multiple projects at once with several departments and stakeholders in a timely fashion with measurable results.</div></li>
</ul>
<p><b>SENIOR DATA ANALYTICS ANALYST (Grade 5)</b></p>
<p><b>Related Work Experience:</b></p>
<p><b>Required:</b></p>
<ul><li><div>5-9 years&rsquo; experience in data gathering, analytics and reporting</div></li>
<li><div>
Proven track record of model creation and management in a business environment.</div></li>
<li><div>
Extensive experience in manipulating large databases using SQL and Azure</div></li>
</ul>
<p><b>Preferred:</b></p>
<ul><li><div>Utility, natural gas or other energy industry experience</div></li>
<li><div>
Hands on experience with Machine Learning, Artificial Intelligence, and/or Big Data</div></li>
<li><div>
Experience with Databricks and/or AI Cloud-Based Solutions
</div></li></ul><p><b>Specific Skills &amp; Knowledge:</b></p>
<p><b>Required:</b></p>
<ul><li><div>Advanced proficiency in MS Office Suite such as Excel
</div></li><li><div>Knowledge of data base management systems such as SQL Server or MySQL.</div></li>
<li><div>
Proven record of experience working with large databases and use of statistical models for valuation and prediction.</div></li>
<li><div>
Ability to manage multiple projects at once with several departments and stakeholders in a timely fashion with measurable results.</div></li>
<li><div>
Experience with data visualization in Power BI or other comparable tools</div></li>
<li><div>
Demonstrate quantitative skills and ability to apply complex financial and statistical principles</div></li>
<li><div>
Hands on programming skills using Python</div></li>
</ul>
<p><b>STAFF DATA ANALYTICS ANALYST (Grade 6)</b></p>
<p><b>Related Work Experience:</b></p>
<p><b>Required:</b></p>
<ul><li><div>9+ years&rsquo; experience in data gathering, analytics and reporting</div></li>
<li><div>
Proven track record of model creation and management in a business environment.</div></li>
<li><div>
Extensive experience in manipulating large databases using SQL and Azure</div></li>
<li><div>
Hands on experience on Machine Learning, Artificial Intelligence, and/or Big Data
</div></li></ul><p><b>Preferred:</b></p>
<ul><li><div>Utility, natural gas or other energy industry experience</div></li>
<li><div>
Experience with Databricks and/or AI Cloud-Based Solutions
</div></li></ul><p><b>Specific Skills &amp; Knowledge:</b></p>
<p><b>Required:</b></p>
<ul><li><div>Advanced proficiency in MS Office Suite such as Excel and Access
</div></li><li><div>Knowledge of data base management systems such as SQL Server or MySQL.</div></li>
<li><div>
Proven record of experience working with large databases and use of statistical models for valuation and prediction.</div></li>
<li><div>
Ability to manage multiple projects at once with several departments and stakeholders in a timely fashion with measurable results.</div></li>
<li><div>
Experience with data visualization in Power BI or other comparable tools</div></li>
<li><div>
Demonstrate quantitative skills and ability to apply complex financial and statistical principles</div></li>
<li><div>
Technical leadership experience and programming skills using Python</div></li>
</ul>
<p><b>Working Conditions/Physical Requirement:</b></p>
<p>The incumbent works in an office environment/on-site.</p>
<p><b>Disclaimer:</b> This information describes the general nature and level of work performed by employees in this job. The description is not designed to be a comprehensive inventory of duties, responsibilities and qualifications required in the job. Reasonable accommodations may be made to qualified disabled individuals for performance of essential duties and responsibilities.</p>
<p><b>About Southern Company Gas</b></p>
<p>Southern Company Gas is a wholly owned subsidiary of Atlanta-based Southern Company (NYSE:SO), America&rsquo;s premier energy company. Southern Company Gas serves approximately 4.2 million natural gas utility customers through its regulated distribution companies in four states and approximately 600,000 retail customers through its companies that market natural gas. Other nonutility businesses include investments in interstate pipelines and ownership and operation of natural gas storage facilities. For more information, visit southerncompanygas.com .</p>
<p>Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com .</p>
<p>Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf . Additional and specific details about total compensation and beneﬁts will also be provided during the hiring process.</p>
<p>Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.</p>
<p>Job Identification: 17421</p>
<p>Job Category: Data Analytics</p>
<p>Job Schedule: Full time</p>
<p>Company: Southstar Energy Services</p></div>

Analyst, Data Analytics (All Levels)

Emory University

<div>Discover Your Career at Emory University:
<div>
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.</div>
Description:
<div>
JOB DESCRIPTION:
</div><ul><li>The Emory Sports Performance And Research Center (SPARC) is seeking a highly motivated postdoctoral fellow to conduct research in advanced prediction and optimization modeling.
</li><li>An ideal candidate would use their foundational knowledge of various modeling methods to develop and apply cutting-edge machine learning and data analysis techniques for assessing and modifying injury risk and performance in professional sports based on a large array of multimodal data sources.
</li><li>As part of this fellowship, they will have the opportunity to engage with a community of world-renowned scientists in the field of machine learning, musculoskeletal modeling, and human physiology to further advance their skills and grow their network for future opportunities.</li><li>
Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career.</li><li>
The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc.
</li><li>Designs and evaluates experiments.
</li><li>Develops new ideas that promote current research.
</li><li>Prepares and publishes scientific manuscripts under the direction of the Principal Investigator.</li><li>
May be responsible for operation of specific equipment.</li><li>
May teach techniques to others, train, and supervise research staff.</li><li>
Positions are temporary appointments as a research trainee.
</li><li>The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available.</li><li>
Appointments cannot exceed five years.</li></ul><div>
MINIMUM QUALIFICATIONS:</div><ul><li>
A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field.
</li><li>Excellent scientific writing ability and strong oral communication skills.</li><li>
The ability to work effectively and collegially with colleagues.
</li><li>Additional qualifications as specified by the Principal Investigator.</li></ul><div>
PREFERRED MINIMUM QUALIFICATIONS:</div><ul><li>
A Ph.D. in Computer Science, Data Science, Economics, Engineering, or related field</li><li>
Excellent scientific written and oral skills</li><li>
Experience in developing state-of-the-art optimization and prediction models</li><li>
Strong programming skills</li><li>
Experience in organizing and handling large, multimodal data sets</li></ul><div>
PREFERRED QUALIFICATIONS:</div><ul><li>
Experience using AWS and other high performance computing platforms</li><li>
Experience using Databricks, Snowflake, and/or similar data analytics platforms</li><li>
Knowledge of human musculoskeletal anatomy</li><li>
Experience developing human pose estimation and biomechanics models</li><li>
Experience in musculoskeletal modeling/OpenSim and muscle optimization</li><li>
Interest in improving health and performance outcomes in collegiate and professional sports
</li></ul><p>NOTE: Position tasks are required to be performed in-person at an Emory University location; working remote is not an option. Emory reserves the right to change this status with notice to employee.</p>
Additional Details : 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. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
<br>
<br>
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.</div>

Postdoctoral Fellow in Machine Learning and Data Science

Realign

<div>Atlanta, Georgia 30033 Posted February 24th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title : Senior R Python Developer</b></div><div><b>
Location: Atlanta, GA / Remote</b></div><div><b>
FTE Only</b></div><div></div><div><b><br>
Job Description</b></div><div></div><div><b><br>
Must Have Technical/Functional Skills</b></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><b><br>
Roles &amp; Responsibilities</b></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><p>
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.</p><br>
<p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

Senior R Python Developer (Remote)

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