senior data engineer

associate applied data scientist Jobs in Atlanta

associate applied data scientist

associate data analyst

associate data scientist

associate data scientist, marketing Jobs in Atlanta

associate data scientist, marketing

data scientist

The Home Depot

Position Purpose: The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. Key Responsibilities: 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings Direct Manager/Direct Reports: This position reports to manager or above This position has 0 direct reports Travel Requirements: No travel required. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 3+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Experience running queries against data (preferably with Google BigQuery or SQL) Experience in predictive modeling, data mining and data analysis Experience with data visualization software (preferably Tableau) Experience utilizing statistical techniques to identify key insights that help solve business problems Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Basic knowledge or exposure to predictive modeling, data mining and data analysis Minimum Education: 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. Preferred Education: No additional education Minimum Years of Work Experience: 0 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Associate Data Scientist

Position Purpose: The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. Key Responsibilities: 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings Direct Manager/Direct Reports: This position reports to manager or above This position has 0 direct reports Travel Requirements: No travel required. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 3+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Experience running queries against data (preferably with Google BigQuery or SQL) Experience in predictive modeling, data mining and data analysis Experience with data visualization software (preferably Tableau) Experience utilizing statistical techniques to identify key insights that help solve business problems Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Basic knowledge or exposure to predictive modeling, data mining and data analysis Minimum Education: 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. Preferred Education: No additional education Minimum Years of Work Experience: 0 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Associate Data Scientist, Marketing

NAVA TECH LLC

Launch Your Career in Data Science. Are you passionate about data, analytics, and artificial intelligence but haven't yet had the opportunity to work as a Data Scientist? We are looking for ambitious technical professionals with a strong foundation in programming, problem-solving, and analytical thinking who are ready to transition into a Data Science career. Whether your background is in Software Development, Data Analytics, AI Engineering, Quality Assurance, Business Intelligence, or another technical field, this opportunity is designed to help you develop the skills and real-world experience needed to become a successful Data Scientist. Join our growing consulting practice and gain hands-on experience working on enterprise-level projects for Fortune 1000 organizations across industries such as Finance, Healthcare, Retail, Telecommunications, and Technology.About the RoleThis role is ideal for candidates who:<ul><li>Have a strong technical foundation</li><li>Know how to write code and solve problems</li><li>Have experience working in IT, software development, analytics, or related fields</li><li>Want to transition into Data Science</li><li>Are eager to learn Machine Learning, Artificial Intelligence, Big Data, and Cloud Technologies</li><li>Are you looking for a long-term career path with significant growth potential</li></ul>ResponsibilitiesThrough hands-on project experience and mentorship, you'll gain exposure to:<ul><li>Data Science Methodologies</li><li>Machine Learning</li><li>Predictive Analytics</li><li>Generative AI</li><li>Data Engineering Concepts</li><li>Cloud Platforms (AWS &amp; Azure)</li><li>Big Data Technologies</li><li>Enterprise Data Solutions</li><li>Advanced SQL and Python Development</li></ul>QualificationsMinimum Qualifications<ul><li>Master&rsquo;s degree in computer science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related quantitative field</li><li>OR bachelor&rsquo;s degree with at least 2 years of professional technical experience</li></ul>Required Skills<ul><li>Experience coding in Python</li><li>Strong SQL skills</li><li>Understanding of object-oriented programming concepts</li><li>Strong analytical and problem-solving abilities</li><li>Excellent communication skills</li><li>Ability to learn new technologies quickly</li></ul>Preferred Skills<ul><li>Experience with any of the following is a plus:</li><li>Data Analytics</li><li>Software Development</li><li>AI Engineering</li><li>Machine Learning</li><li>AWS</li><li>Azure</li><li>Databricks</li><li>PySpark</li><li>GitLab</li><li>Data Warehousing</li><li>Cloud Technologies</li><li>Statistical Analysis</li></ul>Pay: $35.00 - $42.00 per hourBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Health insurance</li><li>Relocation assistance</li></ul>Work Location: In person

Jr Data Scientist

PrizePicks

<div><div>At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?</div>
The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments. As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development &amp; causal inference, to enable better &amp; more rapid decision making.
<h1 class="jobSectionHeader">
What you'll do:</h1>
<ul><li>Lead a team of data scientists, covering topics across retention and acquisition marketing</li>
<li>Oversee the development &amp; maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution</li>
<li>Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes</li>
<li>Integrate LLMs into data &amp; operations workflows, to increase throughput &amp; scale across domains</li>
<li>Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team</li>
<li>Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made</li>
<li>Collaborate with senior leadership, to align marketing data science effort with overall company &amp; marketing goals</li>
</ul><h1 class="jobSectionHeader">What you have:</h1>
<ul><li>7+ years of experience in data science &amp; analytics</li>
<li>5+ years of experience in a marketing, customer, or revenue data-related role</li>
<li>3+ years of experience managing or mentoring data scientists, analysts, or engineers</li>
<li>Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred</li>
<li>Proven experience in building and implementing production-grade machine learning models in an operations support capacity</li>
<li>Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes 
</li>
<li>Exceptional communicator, with experience presenting to senior leadership</li>
<li>Ability to influence cross-functional partners (Marketing, Finance, Product)</li>
<li>Comfortable balancing hands-on work with team leadership</li>
<li>Technical Skills
<ul><li>Strong statistical proficiency</li>
<li>Python for statistical computing, model development, and data visualization</li>
<li>Advanced SQL</li>
</ul></li></ul><h1 class="jobSectionHeader">Where you'll live:</h1>
<ul><li>While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote</li>
</ul><h1 class="jobSectionHeader">Working at PrizePicks:</h1>

The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.

This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 5/11/2026

First Extension: 6/11/2026<div><h1 class="jobSectionHeader"> 
Benefits you'll receive:</h1>

In addition to your great compensation package, full-time employees will be eligible for the following perks:
<ul>
<li>Company-subsidized medical, dental, &amp; vision plans</li>
<li>401(k) plan with company match</li>
<li>Annual bonus</li>
<li>Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)</li>
<li>Generous paid leave programs, including 16-week paid parental leave and disability benefits</li>
<li>Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked</li>
<li>Company-wide in-person events and team outings</li>
<li>Lifestyle enhancement program</li>
<li>Company equipment provided (Windows &amp; Mac options)</li>
<li>Annual performance reviews with opportunities for growth and career development</li>
</ul>
You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</div></div>

Senior Data Science Manager - Marketing Science

Koniag Government Services

Koniag Professional Services, LLC, a Koniag Government Services company, is seeking a Data Analyst to support KPS and our government customer in Atlanta, GA. This position requires the candidate to be able to obtain a Public Trust. This position is for a Future New Business Opportunity.
 We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more
 The Data Analyst will collect, analyze, and report on program data to identify trends, support decision-making, and drive process improvements. Core responsibilities include data quality oversight, system maintenance, and conducting quantitative and qualitative analyses to develop reports, visualizations, and data-driven insights for federal staff and program leadership. This is an ONSITE position required to be performed at Atlanta office locations, with telework available upon approval.
 Essential Functions, Responsibilities & Duties may include, but are not limited to:
 <ul>
<li>Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight.</li>
<li>Conduct both basic and complex statistical analyses to identify trends, patterns, and actionable insights across federal grant programs.</li>
<li>Perform longitudinal data analysis, including Program Information Report (PIR) analysis, and develop high-quality written reports explaining the results of data compilation and analysis activities.</li>
<li>Prepare management information reports on a periodic, cyclical, or ad-hoc basis to support program leadership and decision-making.</li>
<li>Identify and resolve reporting anomalies and data quality issues to ensure the integrity of program data.</li>
<li>Create data-driven presentations for management meetings, conferences, and leadership briefings.</li>
<li>Support congressional reporting and respond to other high-priority data requests in a timely and accurate manner.</li>
<li>Conduct trend analysis and comparative assessments across programs and regions to identify opportunities for program improvement.</li>
<li>Conduct qualitative analysis of grant applications, budgets, intake forms, and other grant-related documents.</li>
<li>Review documentation to identify errors, missing information, or required follow-up actions and communicate findings appropriately.</li>
<li>Analyze correspondence and communications between the federal government and grant recipients to identify themes and patterns in textual data.</li>
<li>Leverage AI tools appropriately while adhering to federal policies, including approved AI platforms.</li>
<li>Synthesize qualitative findings into actionable recommendations for program staff and leadership.</li>
<li>Develop compelling data stories that communicate complex insights to diverse audiences, including both technical and non-technical stakeholders.</li>
<li>Create executive summaries and briefing materials for leadership, including materials for state conferences and internal decision-making support.</li>
<li>Design and deliver oral presentations with support materials to a variety of audiences.</li>
<li>Generate crosstabs, detailed analytical tables, and data visualizations to support reporting needs.</li>
<li>Translate complex data findings into clear, actionable recommendations that drive program improvements.</li>
</ul>
Position Requirements:Education: 
<ul>
<li>Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an accredited college or university.</li>
</ul>
Required Experience: 
<ul>
<li>A minimum of 3 years of relevant post-baccalaureate professional experience directly related to data analysis.</li>
</ul>
Required Skills and Competencies: 
<ul>
<li>Strong analytical and critical-thinking skills with the ability to work independently and collaboratively in a team environment.</li>
<li>Demonstrated ability to aggregate, analyze, and present data from multiple sources in a clear and meaningful way.</li>
<li>Experience with methodology or implementation of AI application tools (GitHub, R, Qualtrics, Tableau, or Power BI), ArcGIS</li>
<li>Experience reporting analytical findings to diverse audiences, including both technical and non-technical stakeholders.</li>
<li>Experience with Excel, Python, R, and preferably Smartsheet</li>
<li>Experience working with data layers and data infrastructure to support analytical and reporting activities.</li>
<li>Experience with qualitative data analysis methodologies, including identifying themes and patterns in textual data.</li>
<li>Proven ability to manage multiple analytical projects simultaneously and meet deadlines in a fast-paced environment.</li>
<li>Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint) and web-based collaboration tools.</li>
<li>Professional communication skills, both written and oral, include the ability to produce high-quality written reports and deliver oral presentations.</li>
</ul>
Travel Requirements : 
<ul>
<li>Contractor personnel are required to travel within and outside the Region during the performance of this contract to conduct site visits, attend meetings, conferences, and training</li>
</ul>
Additional Requirements: 
<ul>
<li>U.S. citizenship or legal authorization to work in the United States</li>
<li>Ability to obtain and maintain a Public Trust security clearance</li>
<li>Ability to pass required background investigations for access to federal facilities and systems</li>
<li>Ability to work independently and collaboratively in a team environment</li>
<li>Ability to maintain confidentiality and handle sensitive information appropriately</li>
<li>Willingness to complete mandatory training requirements</li>
</ul>
Security Requirement: 
<ul>
<li>Ability to obtain and maintain a Public Trust security clearance</li>
</ul>
Desired Skills and Competencies: 
<ul>
<li>Experience working with federal grant programs, particularly in data analysis or program oversight capacity.</li>
<li>Knowledge of Head Start or similar early childhood education programs.</li>
<li>SQL, GIS, Data Visualizations, Survey Methodology or Implementation, application of AI</li>
<li>Knowledge of survey methodology or survey implementation practices.</li>
<li>Experience with AI tools and platforms, including GitHub and Qualtrics, in compliance with applicable federal policies.</li>
<li>Familiarity with web-based data quality and collaboration tools.</li>
</ul>
Our Equal Employment Opportunity Policy
 The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
 The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.
 Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.
 Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352

Data Analyst

Position Purpose: The Data Engineer is an exciting role with The Home Depot&rsquo;s Home Services team that will revitalize and invigorate the way we manage and view data. For this role, we are looking for someone who can develop, implement, test and maintain data pipelines and data structures within a cloud-based data store &amp; warehouse. This person will support the Home Services BI and Data Science strategic initiatives to drive better customer experiences, more profitable outcomes, and actionable business insights. As a Data Engineer, you will be part of a dynamic team with data practitioners of all experience levels who help each other build and grow technical skills while creating, deploying, and supporting data products. Why work here? Our entrepreneurial roots and maverick mentality, coupled with the resources and backing of the #1 home improvement retailer in the world, The Home Depot, is a unique opportunity for you to be a transformative data professional. Our culture is rooted in curiosity, development, and fun. Most importantly, our team members are always inspired, engaged, and ready for growth. That means you'll have the resources and the runway to create exceptional out-of-the-box work. Moreover, you will play an important role in leveraging our culture, people, systems, processes, and technology - ultimately to provide incredible customer and associate experiences, while growing business for Home Services and The Home Depot. This is your chance to be part of something big! Key Responsibilities: 20% Implement a real time streaming data ingestion and processing pipeline using Google Dataflow (Apache Beam) 20% Interface with business intelligence analysts and others in IT (i.e. data engineers, architects, WebOps) in frequent whiteboard sessions to discuss the design, implementation, and testing of data pipelines 20% Maintain data architecture standards and ETL/ELT best practices consistent with a column oriented data store in an analytic use case 20% Active and engaged participation in the Scrum delivery process 20% Support solutions in production Direct Manager/Direct Reports: Position Reports to Manager or Sr. Manager This position has 0 direct reports Travel Requirements: Typically requires overnight travel less than 5% of the time. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Working knowledge of Tableau Working knowledge of presentation software (e.g., Microsoft PowerPoint) Demonstrated ability to collaborate and work effectively with cross-functional teams Demonstrated project management skills Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences Excellent written and verbal communication skills Understanding of data engineering fundamentals and architecture Experience building ETL/ELT pipelines with orchestration through Jenkins Strong SQL query writing with columnar databases (BigQuery) Exposure to CI/CD tools (jenkins), version control (git), data processing (dbt), and workflow orchestration (airflow/kubeflow/etc.) Experience with data warehousing and dimensional modeling Programming ability (python) Familiarity with Agile methodologies and the Jira platform Ability to go from whiteboard discussion to code Ability to communicate effectively with technical and non-technical audiences Natural inclination to explore and implement new ideas and technologies Experience working directly with subject matter experts in both business and technology Ability to act independently with minimal supervision Minimum Education: 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. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented Collaborates Communicates Effectively Customer Focus Drives Results

Data Engineer

Seneca Holdings, LLC

<div>Seneca Federal Health, LLC (SFH) provides solutions to federal health agencies that enable better health outcomes to those our federal customers serve. SFH is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn.

Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation. 


Seneca Federal Health is seeking a Senior SAS Programmer/Biostatistician in Atlanta, GA. 


Responsibilities include, but are not limited to:
<ul>
<li>Master SAS Macro Library Control: Serve as the principal architecture lead for the development, maintenance, and structural optimization of DHP's Master SAS Macro Library, applying semantic versioning via GitLab/GitHub.</li>
<li>Data modernizations &amp; Pipeline Lead: Drive the programmatic migration of legacy SAS macro frameworks into optimized cloud environments (Python, R, pySpark, Databricks), acting as a primary engine for division-wide data modernization goals.</li>
<li>Parallel Discrepancy Evaluation: Design, deploy, and execute parallel production runs between legacy code systems and newly engineered cloud pipelines, running detailed equivalence tests and managing discrepancy remediation down to zero tolerance variance.</li>
<li>MMP Rule Engine Execution: Direct and optimize automated cleaning suites applying 400+ distinct field-level logic rules across complex clinical and behavioral surveillance domains to generate analysis-ready files.</li>
<li>Complex Survey Weights Calibration: Calculate Respondent-Driven Sampling (RDS) and venue-based complex weights for NHBS cycles, running advanced sample calibrations via PROC SURVEYFREQ, SURVEYMEANS, and SURVEYREG workflows.</li>
<li>Section 308(d) Table Suppression: Programmatically embed automated small-cell suppression rules and data-masking constraints directly inside SAS and Python reporting code blocks, mitigating confidentiality disclosure prior to clearance routing.</li>
<li>Dual-Reviewer Equivalence Testing: Operate rigid dual-reviewer validation protocols for all high-priority ad hoc data queries from leadership or Congress, certifying data precision and traceability under 5 business day turnarounds.</li>
<li>1CDP Metadata Harvesting: Coordinate the programmatic extraction of data dictionaries and schema attributes from frozen analytical datasets, automating catalog integration with the One CDC Data Platform (1CDP).</li>
<li>Audit-Ready Technical Documentation: Generate comprehensive code annotations, lineage maps, change tracking tables, and reproducibility records to ensure full compliance with federal data integrity and code harmonization rules.</li>
</ul>
Basic Qualifications:
<ul>
<li>Master's degree in Biostatistics, Statistics, Mathematics, or a highly quantitative mathematical discipline required.</li>
<li>Ability to obtain and/or maintain an active favorable Tier I background check</li>
<li>7+ years of continuous SAS macro software development and structural statistical programming experience within federal health or clinical trial settings.</li>
<li>5+ years of hands-on data manipulation and multi-stage sampling weight calculation experience utilizing specialized SAS PROC SURVEY tools.</li>
<li>Direct technical familiarity working with massive historical CDC data stores, including MMP data architectures, NHBS repositories, and eHARS files.</li>
<li>Proven experience executing dual-reviewer validation architectures using formal version control systems (GitLab/GitHub).</li>
<li>SAS Certified Advanced Programmer for SAS 9 or SAS Viya required</li>
<li>SAS Certified Statistical Business Analyst or Advanced Analytics Professional preferred.</li>
</ul><div>
Equal Opportunity Statement: 
Seneca Holdings provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Notwithstanding the foregoing, the Company does give hiring preference to Seneca or Native individuals. Veterans with expertise in these areas are highly encouraged to apply.</div></div>

Senior SAS Programmer/Biostatistician

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