sr manager finance, 4-wall analytics & strategy

data engineer

associate applied data scientist Jobs in Atlanta

associate applied data scientist

associate data analyst

business data scientist

data analyst

data scientist

<div>Before you apply to a job, select your language preference from the options available at the top right of this page.
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow&mdash;people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
Job Description:
UPS US Marketing is looking for a talented and driven Business Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced data analysis where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders.
Responsibilities:<ul><li>
Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and statistical methods</li><li>
Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools.</li><li>
Understand and apply appropriate methods for cleaning and transforming data</li><li>
Work across multiple stake holders to develop, maintain and improve models in production</li><li>
Take the initiative to create and execute analyses in a proactive manner</li><li>
Deliver complex analytical and visualizations to broader audiences including upper management and executives</li><li>
Understand the application of advanced analytics to solve complex business problems</li></ul>
Qualifications<ul><li>
MS in a quantitative discipline and 2+ years of relevant work experience or Ph.D in a STEM field</li><li>
Proficiency in Python and SQL</li><li>
Experience in applied statistics and analytics utilizing programming languages (Ex: Python or R)</li><li>
Proficient in cloud computing using Azure and Google cloud environments</li><li>
Proficient in data concepts and transformation methods</li><li>
Effective presentation skills utilizing PowerPoint and visualization methods to explain complex concepts</li><li>
Experience in reporting and analytics using dashboards (PowerBI, Tableau, Looker, etc.)</li></ul>
Bonus Qualifications<ul><li>
Experience with pricing methodologies and revenue management</li><li>
Experience using PySpark, Azure Databricks, Google Bigquery and Vertex AI</li><li>
Creating and implementing AI and GenAI based projects</li><li>
Familiarity with Data architecture and engineering</li></ul>
Employer will not sponsor a visa for this position. Must be currently in the same geographic location as the job or willing to relocate yourself.
Job Grade- 20G
Last day to apply internally- 4/22/26 @ 11:59am EST
Employee Type:
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Other Criteria:
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
Basic Qualifications:
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.</div>

Business Data Scientist

The Home Depot

<div>Position Purpose:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. 
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>
Strong background in Business Intelligence (BI) and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><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 - GenBI

Jerry

<div><div><div>Why Jerry.ai</div><ul><li><div>
Join a profitable pre-IPO startup with capital, traction, and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)</div></li><li><div>
Work closely with brilliant leaders and teammates from companies like Amazon, Better, LinkedIn, McKinsey, BCG, Bain</div></li><li><div>
Disrupt a massive market and take us to a $10B business in the next few years</div></li><li><div>
Our growth is driven by forward-thinking technology: Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article</div></li><li><div>
Be immersed in a talent-dense environment and greatly accelerate your career growth</div></li><li><div>
Impact millions of users experience with car maintenance and auto insurance</div></li></ul>
 About the opportunity
We are looking for a detail-obsessed Applied Data Scientist to join our growing team. The ideal candidate is passionate about the foundational layer of all data analysis: ensuring our data is clean, accurate, and reliable. You are a detective at heart, driven by a deep curiosity to understand complex data systems, and someone who finds immense satisfaction in transforming messy, ambiguous datasets into pristine assets that drive critical business decisions.
This role is perfect for a scientist who wants to own the entire journey: from taking raw application data to generating clean inputs, to building models and delivering tangible value in real-world applications. You will be a central point of contact, communicating with engineers, product managers, and business analysts to ensure data integrity from collection to analysis.
 How you will make an impact<ul><li><div>
Model Ownership: Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges</div></li><li><div>
Data Quality: Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling. Proactively identify and handle missing values, outliers, and inconsistencies</div></li><li><div>
Problem Investigation: Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy</div></li><li><div>
Cross-Functional Collaboration: Act as a strategic liaison, collaborating with data Engineering and product teams to drive the data strategy and definition of our centralized feature store, ensuring it becomes the 'single source of truth' for all ML models</div></li><li><div>
Documentation: Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions</div></li></ul>
 Who You Are<ul><li><div>
Obsessed with Details: You have an exceptional eye for detail and a low tolerance for errors. You believe that accuracy and precision are non-negotiable</div></li><li><div>
A Strategic Thinker: You can see the bigger picture and are passionate about building robust systems and processes that will stand the test of time</div></li><li><div>
Proactive &amp; Persistent: You don't wait for problems to find you. You actively seek out data quality issues and are persistent in seeing an investigation through to its resolution.</div></li><li><div>
Curious &amp; Adaptive: You are inherently curious and possess a strong desire to understand how things work. You're comfortable with ambiguity and skilled at breaking down complex problems</div></li></ul>
 Requirements<ul><li><div>
Education: Bachelor&rsquo;s degree (PhD preferred) in a quantitative field (Statistics, Physics, Mathematics, etc.)</div></li><li><div>
Programming: Strong proficiency in Python (Pandas/NumPy) and SQL for complex querying and data manipulation</div></li><li><div>
Data Quality: Hands-on experience with data cleaning techniques and data validation frameworks</div></li><li><div>
Tooling: Familiarity with data visualization tools to help identify and communicate data issues</div></li></ul>
While we appreciate your interest and application, only applicants under consideration will be contacted.
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai
The successful candidate&rsquo;s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.
About Jerry.ai:
Jerry.ai is America&rsquo;s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers &mdash; and we&rsquo;re just getting started.
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that&rsquo;s disrupting a massive market.</div></div>

Associate Applied Data Scientist

Visa

<div>
 
 Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
 
 
 
 
 At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters &mdash; to you, to your community, and to the world.
 
 
 
 
 Progress starts with you.
 
 
 
 
 
 
 Job Description
 
 
 
 
 As part of Visa Predictive Fraud Intelligence team (PFI), you will leverage cutting-edge technologies to perform statistical profiling, inference, classification, clustering and predictive analysis. As a key member of the data science team, you will create and implement sophisticated machine learning models to help derive new insights to defend against fraud attempts.
 
 
 
 
 You will be working with a large variety of data sets, cutting-edge analytical technologies, and world-class operation teams to create awesome analytics for security and other business units.
 
 
 
 
 
 Your responsibilities include:
 
 
 
 
 <ul>
 <li>
 Analyze transaction event logs using Spark and big data technologies and develop deeper insights into products using advanced statistical methods.
 </li>
 <li>
 Devise and implement deep learning models for building user behavior profiles. This includes data acquisition, feature engineering, model development, and deployment.
 </li>
 <li>
 Support and optimize other existing analytical models/products.
 </li>
 <li>
 Maintain the backend operations pipeline, including the job scheduler and data processes.
 </li>
 <li>
 Devise and implement methods for efficiently monitoring model effectiveness and performance in production.
 </li>
 <li>
 Use GenAI to create an agentic framework that enhances fraud detection efficiency.
 </li>
 <li>
 As a member of the PFI team, you will work closely with other data scientists and data engineers to build, design, engineer, and develop analytical services that deliver fraud detection abilities and improve the efficiency and capabilities through automation.
 </li>
 <li>
 Communicate clean and persuasive data directly to end users, leadership, and other stakeholders, technical and non-technical.
 </li>
 </ul>
 
 This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 Basic Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree, with 1-2 years of relevant work experience
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 
 
 <ul>
 <li>
 2 years of work experience.
 </li>
 <li>
 1-2 years of relevant work experience with either bachelor&rsquo;s or master&rsquo;s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
 </li>
 <li>
 Solid background and hands on experiences with building Machine learning, deep learning and AI models.
 </li>
 <li>
 Experience with Generative AI/LLM Excellent understanding of algorithms and data structures and proficiency in Python and SQL.
 </li>
 <li>
 Experience working with large datasets using tools and Hadoop, Spark, or Hive. Excellent analytic and problem-solving capability combined with ambition to solve hard problems. Strong communications skills and ability to collaborate. Highly driven, resourceful and results oriented. Good team player and excellent interpersonal skills. Demonstrated ability to lead and navigate through ambiguity.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 
 Work Hours:
 
 
 Varies upon the needs of the department.
 
 
 
 
 
 
 Travel Requirements:
 
 
 This position requires travel 5-10% of the time.
 
 
 
 
 
 
 Mental/Physical Requirements:
 
 
 This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
 
 
 
 
 Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
 
 
 
 
 Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
 
 
 
 
 
 U.S. APPLICANTS ONLY: The estimated salary range for this position is 116,800.00 to 180,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
 
 
 
 
</div>

Data Scientist, Predictive Fraud Intelligence

<div>Position Purpose:
The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
 
As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
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>
PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
</li><li>6+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Proficient in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated proficiency 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>
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 – Finance Analytics, Automation & AI (AAA)

Net2Source (N2S)

<div>
 
 
 Job Title: Data Analyst
 
 
 
 
 Location: Atlanta, GA (Onsite)
 
 
 
 
 Duration: 12 Months
 
 
 
 
 
 
 
 
 Job Description:
 
 
 <ul>
 <li>
 Partner with operational team to translate business requests into data driven results and recommendations
 </li>
 <li>
 Develop complex SQL queries to extract and transform data from multiple data sources
 </li>
 <li>
 Identify trends, patterns, and insights from data sets to understand drivers of performance
 </li>
 <li>
 Perform validation of data results to ensure data accuracy and integrity
 </li>
 <li>
 Produce actionable results that communicate where to focus efforts to drive impact to the business
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications:
 
 
 
 (Minimum qualifications):
 
 <ul>
 <li>
 3+ years of experience in analysis, information science, data visualization, or other relevant quantitative field preferred
 </li>
 <li>
 Intermediate SQL knowledge familiar with aggregating, joins, timestamps, subqueries, data transformation
 </li>
 <li>
 Strong problem solving and analytical skills
 </li>
 <li>
 Excellent communication skills, both verbal and written, with ability to present complex data findings in clear, concise manner using Microsoft product suite
 </li>
 <li>
 Demonstrate initiative and self-direct work with ability to manage multiple priorities
 </li>
 <li>
 Must be performing satisfactorily in present position
 </li>
 </ul>
 
 
 
 
 
 
 (Preferred qualifications):
 
 
 <ul>
 <li>
 Previous experience with analytics preferred
 </li>
 <li>
 Experience with data visualization tools such as PowerBI or Tableau
 </li>
 <li>
 Familiarity with scripting languages such as Python or R for data manipulation and analysis
 </li>
 <li>
 Experience with project management of operational programs - observing the current processes, evaluating performance, and identifying areas for improvement
 </li>
 <li>
 Bachelor's degree in Engineering, Computer Science, Information Science, Business/Management, Mathematics/Statistics, Economics or other relevant quantitative field
 </li>
 </ul>
 
 
</div>

Data Analyst

Codoxo

<div>
 
 PLEASE NOTE BEFORE APPLYING:
 
 
 
 
 
 
 CODOXO IS NOT ABLE TO OFFER SPONSORSHIP OR ACCOMMODATE ANY CANDIDATES THAT ARE CURRENTLY BEING SPONSORED NOW OR IN THE FUTURE
 
 
 
 
 
 
 
 
 This is for a Full Time Role with Codoxo, NOT C2C
 
 
 
 
 
 
 
 Of the $3.8T we spend on healthcare in the United States annually, about a third of it is estimated to be lost due to waste, fraud and abuse. Codoxo is the premier provider of artificial intelligence-driven solutions and services that help healthcare companies and agencies proactively detect and reduce risks from fraud, waste, and abuse and ensure payment integrity. Codoxo helps clients manage costs across network management, clinical care, provider coding and billing, payment integrity, and special investigation units. Our software-as-a service applications are built on our proven Forensic AI Engine, which uses patented AI-based technology to identify problems and suspicious behavior far faster and earlier than traditional techniques.
 
 
 
 
 
 We are venture backed by some of the top investors in the country, with strong financials, and remain one of the fastest growing healthcare AI companies in the industry.
 
 
 
 
 
 
 
 Position Summary
 
 
 :
 
 
 
 
 
 The Data Engineer supports the design, development, and maintenance of scalable data pipelines that power analytics, reporting, and machine learning initiatives. Working under the guidance of senior engineers, this role contributes to building reliable ETL workflows, optimizing database performance, and integrating structured and unstructured data sources.
 
 
 
 
 
 
 
 
 This position partners closely with data scientists, analysts, and cross-functional stakeholders to ensure timely, accurate, and secure data delivery. By strengthening foundational data infrastructure, the Junior Data Engineer helps advance analytics maturity, enable AI initiatives, and promote data-driven decision-making across the organization. The role consistently leverages AI tools to enhance productivity, code quality, and solution effectiveness.
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 :
 
 
 <ul>
 <li>
 Assist in designing, building, and maintaining scalable ETL/ELT data pipelines.
 </li>
 <li>
 Develop and optimize batch and streaming workflows using tools such as AWS Glue, Spark, and Airflow.
 </li>
 <li>
 Support data integration across multiple structured and unstructured data sources.
 </li>
 <li>
 Write clean, efficient, and maintainable code in Python, PySpark and SQL.
 </li>
 <li>
 Monitor, troubleshoot, and improve pipeline reliability and performance.
 </li>
 <li>
 Optimize database performance, particularly in PostgreSQL and cloud-based environments.
 </li>
 <li>
 Maintain and support AWS-based infrastructure (EC2, S3, Glue, etc.).
 </li>
 <li>
 Implement data validation, quality checks, and monitoring processes.
 </li>
 <li>
 Ensure compliance with data governance, security, and regulatory standards.
 </li>
 <li>
 Collaborate with data scientists and analysts to translate data requirements into scalable engineering solutions.
 </li>
 <li>
 Document data flows, architecture decisions, and technical processes.
 </li>
 <li>
 Use AI-assisted development tools to improve speed, testing coverage, and code quality.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related technical field (or equivalent practical experience).
 </li>
 <li>
 2+ years of experience in data engineering, software engineering, or related technical roles (internships included).
 </li>
 <li>
 Proficiency in Python, PySpark and SQL required.
 </li>
 <li>
 Familiarity with ETL/ELT concepts and data pipeline architecture.
 </li>
 <li>
 Experience working with relational databases such as PostgreSQL.
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 Basic understanding of cloud computing concepts, preferably AWS.
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 Exposure to distributed data processing frameworks such as Spark.
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 Experience working in Linux environments and basic shell scripting.
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 Strong analytical and problem-solving skills.
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 Ability to work collaboratively in a team environment under mentorship.
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 Strong written and verbal communication skills.
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 </ul>
 
 
 
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
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 Experience working with medical claims data strongly preferred.
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 Hands-on experience with AWS services such as EC2, S3, Glue, and IAM.
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 Experience with workflow orchestration tools such as Apache Airflow.
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 Exposure to data warehousing concepts and dimensional modeling.
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 Familiarity with CI/CD pipelines and version control (e.g., Git).
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 Understanding of data security, governance, and compliance best practices.
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 Experience supporting machine learning pipelines or analytics platforms.
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 Demonstrated use of AI tools (e.g., code assistants, automation platforms) to improve development efficiency.
 </li>
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 Physical Requirements: Work is performed in an office environment (either in our office or work-from home) and requires the ability to work on a computer, operate standard office equipment, and work at a desk.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Accessibility Notice: If you need reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to careers@codoxo.com with the subject
 
 
 
 
 
 
 
 
 
 
 Benefits for You
 
 
 <ul>
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 Health, Dental, and Vision insurance with 100% employee premium coverage (Starts Day 1)
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 Unlimited PTO
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 Annual Professional Development stipend
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 Annual home office stipend
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 401K Match (after 90 days)
 </li>
 </ul>
 
 
 
 
 
 
 
 
 We are an Equal Opportunity Employer
 
 :
 
 
 Codoxo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment.
 
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Data Engineer

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