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At Home Data Scientist Risk Jobs in Schenectady, NY

Versant Health

Senior Data Scientist

Troy, NY · On-site

... 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 ...

Brookfield

Senior Data Scientist

Albany, NY

$90.80K - $145K/yr

... risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross ... At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a ...

Versant Health

Senior Data Scientist

Troy, NY · On-site

... model risk management, stability analysis, reproducibility, and controlled experimentation. • Guide and review work produced by other data scientists, analysts, and vendors to ensure technical ...

PNC Bank

Senior Data Scientist

Schenectady, NY

$122.25K - $165.37K/yr

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in ... Managing Risk - Assessing and effectively managing all of the risks associated with their business ...

Pwc

AI & GenAI Data Scientist - EUR- Director

Albany, NY · On-site

$155K - $410K/yr

Those in artificial intelligence and machine learning at PwC will focus on developing and ... The Opportunity As part of the Data and Analytics team you can manage the development of AI and ...

Help At Home

Home Health Aide

Nassau, NY · On-site

$15.75 - $20.25/hr

Data Security and Privacy Statement At Help at Home, we prioritize protecting your personal information during the hiring process. We comply with all relevant data privacy regulations, including ...

New York State

Data Analyst 2, Central Office

Albany, NY · Hybrid

$86.68K - $109.65K/yr

... Home data, Provider Network data and other data). - Respond to ad hoc data analysis requests and ... A master's degree in data or computer science, informatics, economics, statistics, mathematics, or ...

UMB Bank

AI Data Architect

Albany, NY · On-site +1

$83.20K - $178.80K/yr

... risk management, compliance, and customer experience. This is a subset of the overall ... Master's degree in Data Science, Information Management, or related discipline and at least 10 ...

StateJobsNY

Data Analyst 2, Central Office

Albany, NY · On-site

$86.68K - $109.65K/yr

... Home data, Provider Network data and other data). - Respond to ad hoc data analysis requests and ... A master's degree in data or computer science, informatics, economics, statistics, mathematics, or ...

StateJobsNY

Data Analyst 2, Central Office

Albany, NY · Hybrid

... Home data, Provider Network data and other data). - Respond to ad hoc data analysis requests and ... A master's degree in data or computer science, informatics, economics, statistics, mathematics, or ...

Solventum

Lead Data Analyst

Albany, NY · On-site +1

Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We ... Experience designing financial risk models used in healthcare payment, value-based programs, and ...

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All JobsAt Home Data Scientist Risk JobsAt Home Data Scientist Risk Jobs in Schenectady, NY

At Home Data Scientist Risk information

See Schenectady, NY salary details

$36.3K

$118.8K

$190.1K

How much do at home data scientist risk jobs pay per year?

As of May 28, 2026, the average yearly pay for at home data scientist risk in Schenectady, NY is $118,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $131,600.00 per year, depending on experience, location, and employer.

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are popular job titles related to At Home Data Scientist Risk jobs in Schenectady, NY? For At Home Data Scientist Risk jobs in Schenectady, NY, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Schenectady, NY look for? The top searched job categories for At Home Data Scientist Risk jobs in Schenectady, NY are:
What cities near Schenectady, NY are hiring for At Home Data Scientist Risk jobs? Cities near Schenectady, NY with the most At Home Data Scientist Risk job openings:
At Home Data Scientist Risk jobs near you
Senior Data Scientist

Senior Data Scientist

Versant Health

Troy, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 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 Anything™.
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 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.
This role is compensated through a fixed annual salary. The expected salary range for this position is $170,000.00 - $180,000.00 annually, based on role scope, experience, and market considerations. This position is not eligible for bonus or incentive compensation.
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.

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