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Senior Data Associate Jobs (NOW HIRING)

Senior Data Scientist Senior Data Scientist Who are we? Versant Health is one of the nation ... As a Versant Health associate, you can enjoy a comprehensive Total Rewards package, which includes ...

Senior Data Analyst

Washington, DC ยท On-site

$97K - $122K/yr

Scott & Associates (KLSA) is a mission-driven management and technology consulting firm that ... Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical ...

Senior Data Architect

Topeka, KS ยท On-site +1

$63.25 - $84.75/hr

We're Looking for an experienced Senior Data Architect! About the Company: Security Benefit is a ... Associate assistance programs for your personal and professional well-being. Ready to Make an ...

$49.50 - $66.50/hr

The Senior Data Architect is the experienced, journey-level architecture professional who leads ... Associate assistance programs for your personal and professional well-being. Ready to Make an ...

Senior Data Architect

Topeka, KS ยท On-site

$63.25 - $84.75/hr

We're Looking for an experienced Senior Data Architect! About the Company: Security Benefit is a ... Associate assistance programs for your personal and professional well-being. Ready to Make an ...

Senior Data Architect

Topeka, KS ยท On-site

$63.25 - $84.75/hr

The Senior Data Architect is the experienced, journey-level architecture professional who leads ... Associate assistance programs for your personal and professional well-being. Ready to Make an ...

Senior Data Analyst

Quantico, VA ยท On-site

$91K - $114K/yr

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal ... EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified Cloud ...

Senior Data Manager

Denver, CO ยท On-site

$69.25 - $92.75/hr

Responsibilities & Qualifications RESPONSIBILITIES The Senior Data Manager is expected to be able ... AWS Solutions Architect - Associate or Professional * Microsoft Azure Data Engineer Associate

The Senior Data Management Associate will also work with Clinical Operations, Safety, and Regulatory as necessary. In this role you follow data management processes and understand the downstream ...

The Senior Data Management Associate will also work with Clinical Operations, Safety, and Regulatory as necessary. In this role you follow data management processes and understand the downstream ...

The Senior Data Management Associate will also work with Clinical Operations, Safety, and Regulatory as necessary. In this role you follow data management processes and understand the downstream ...

Senior, Data Scientist

Tontitown, AR ยท On-site

$90K - $180K/yr

The Senior Data Scientist designs, builds, and deploys machine learning and agentic AI solutions ... associates on basic modeling and analytics techniques to solve complex problems Demonstrates ...

Senior, Data Scientist

Anderson, MO ยท On-site

$90K - $180K/yr

The Senior Data Scientist designs, builds, and deploys machine learning and agentic AI solutions ... associates on basic modeling and analytics techniques to solve complex problems Demonstrates ...

Senior, Data Scientist

Lowell, AR ยท On-site

$90K - $180K/yr

The Senior Data Scientist designs, builds, and deploys machine learning and agentic AI solutions ... associates on basic modeling and analytics techniques to solve complex problems Demonstrates ...

Showing results 21-40

Senior Data Associate information

What is a senior data associate?

Senior Data Associates are experienced professionals who manage, analyze, and interpret large datasets to support business decision-making. They are responsible for data cleaning, validation, and organization, as well as designing and implementing data collection processes. Senior Data Associates often collaborate with data scientists, analysts, and other stakeholders to ensure data accuracy and accessibility. Their role typically requires strong analytical skills, attention to detail, and proficiency in data management tools and programming languages such as SQL or Python.

How do senior data associates typically collaborate with cross-functional teams within an organization?

Senior Data Associates often work closely with teams such as engineering, product management, and business analytics to ensure data integrity and support organizational goals. They are responsible for translating business requirements into data solutions, managing data pipelines, and providing actionable insights. Regular communication and collaboration are essential, as they often participate in meetings to discuss project progress, data quality issues, and upcoming analytical needs. This cross-functional interaction not only enhances the impact of their work but also fosters a collaborative, learning-oriented environment.

What are the key skills and qualifications needed to thrive as a senior data associate, and why are they important?

To thrive as a Senior Data Associate, you need expertise in data analysis, data management, and a solid understanding of database systems, often supported by a degree in statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau is typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate data insights, drive informed business decisions, and facilitate efficient teamwork within data-driven organizations.

What is the difference between Senior Data Associate vs Data Analyst?

AspectSenior Data AssociateData Analyst
Required CredentialsBachelor's degree in data-related field; experience in data managementBachelor's degree in statistics, data science, or related field; analytical skills
Work EnvironmentData teams within corporate or research settings, often supporting data operationsBusiness or research environments analyzing data to inform decisions
Employer & Industry UsageUsed in finance, healthcare, tech companies for data support rolesCommon across industries for data interpretation and reporting

The main difference is that Senior Data Associates focus on managing and supporting data processes, while Data Analysts primarily interpret data to generate insights. Senior Data Associates often handle data quality and operations, whereas Data Analysts focus on analysis and reporting.

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Infographic showing various Senior Data Associate job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Senior Data Scientist

Troy, NY โ€ข On-site

Versant Health
Insurance Servicesย โ€ขย 1 - 5K employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


Job description

Senior Data Scientist
Senior Data Scientist
Who are we?
Versant Health is one of the nation's leading administrators of managed vision care, serving millions of our clients' members nationwide. We are driven by our mission to help members enjoy the wonders of sight through healthy eyes and vision.
As a Versant Health associate, you can enjoy a comprehensive Total Rewards package, which includes health and dental insurance, tuition reimbursement, 401(k) with company match, pet insurance, no-cost-to-you vision insurance for you and your qualified dependents. We are also invested in your success. There are many opportunities for advancement and development throughout all stages of your career with us.
See how you can make a difference with the support of strong leadership and a team environment.
See Everything, Be Anythingโ„ข.
What are we looking for?
The Senior Data Scientist is a principal-level individual contributor responsible for architecting, delivering, and governing enterprise-grade advanced analytics and machine learning solutions that materially influence strategic decisions, financial performance, operational efficiency, and regulatory posture.
This role operates at the intersection of data science, data engineering, cloud analytics platforms, and business strategy, serving as a technical authority and thought leader across complex, high-risk analytical initiatives-particularly within regulated healthcare environments.
The Senior Data Scientist is accountable not only for model development, but for explainability, stability, auditability, and long-term operational viability of analytical solutions deployed at scale within the Microsoft data ecosystem.
Where you will have an impact
  • Architect, design, and deploy advanced statistical, predictive, and machine learning solutions that support enterprise-level decision-making across healthcare, operations, finance, and customer/member domains.
  • Own end-to-end analytical solution lifecycle, including data discovery, feature engineering, modeling, validation, performance monitoring, retraining strategy, and retirement planning.
  • Serve as a technical authority on model explainability, fairness, robustness, and regulatory defensibility-particularly where ground truth or forward-looking forecasts are limited.
  • Design analytics solutions natively within the Microsoft cloud analytics stack, ensuring alignment to enterprise data architecture and governance standards.
  • Partner closely with executive stakeholders, data engineering leaders, and platform owners to translate complex business questions into high-impact, production-ready analytics.
  • Lead and influence analytics standards without direct authority.
  • Define best practices for: model documentation, audit artifacts, model risk management, stability analysis, reproducibility, and controlled experimentation.
  • Guide and review work produced by other data scientists, analysts, and vendors to ensure technical rigor and business relevance.
  • Present complex analytical findings to senior leadership using clear narratives, decision-oriented visuals, and quantified trade-offs.
  • Proactively identify analytical risks, data limitations, and downstream impacts of modeling decisions.
  • Continuously evaluate emerging tools, methodologies, and Microsoft platform capabilities to drive modernization and performance gains.

What's necessary to do the job?
  • Master's degree preferred in data science, statistics, mathematics, computer science, engineering, or related field required.
  • 7-10+ years of progressive experience delivering advanced analytics or machine learning solutions in complex, data-rich environments.
  • Required: Prior experience in healthcare analytics (payer, provider, life sciences, or regulated healthcare data domains).
  • Prior acutrary experience a plus.
  • Proven experience deploying production analytics or ML solutions supporting mission-critical business processes.
  • Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow where appropriate)
  • SQL (advanced T-SQL optimization, analytical patterns)
  • ML explainability and governance techniques (e.g., SHAP-style approaches, stability testing)
  • Deep, hands-on, production experience across sizable portion of the Microsoft analytics ecosystem, including:
  • Microsoft Fabric (Lakehouse, Data Warehouse, Real-Time Analytics, Notebooks)
  • Azure Synapse Analytics (dedicated & serverless SQL pools)
  • Azure Data Factory (Fabric Data Pipelines)
  • Azure Data Lake Storage
  • Azure Machine Learning (model training, deployment, monitoring)
  • Power BI (semantic models, DAX optimization, executive dashboards)
  • Microsoft Purview (data cataloging, lineage, classification)

HIPAA & Security Requirements
All Associates must comply with the Health Insurance Portability Accountability Act of 1996 (HIPAA) as it pertains to disclosures of protected health information (PHI) as described in the Notice of Privacy Practices and HIPAA Privacy Policies and Procedures. As a component of job roles and responsibilities, Associates may have access to covered information, cardholder data or other confidential customer information which must be protected at all times. As a result, Associates must explicitly adhere to all data security guidelines established within the Company's Privacy & Security Training Program.
We offer a comprehensive and competitive total rewards package designed to support your health, financial well-being, and work-life balance. Benefits include medical, dental, and paid vision coverage; paid time off and company holidays; retirement savings with employer contribution; employee wellness resources; and professional development opportunities. Additional benefits may include flexible work arrangements, employee assistance programs, and other programs that support you both at work and beyond.
Versant Health will never request money from candidates who seek employment with us and will never ask for any payment as part of the recruitment process.
Versant Health is a proud Equal Employment Opportunity and Affirmative Action employer dedicated to attracting, retaining, and developing a diverse and inclusive workforce. All qualified applicants will receive consideration for employment at Versant Health without regards to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.