Homeoffice Data Analytics and AI Engineer bei Visiting Nurse Service of New York d/b/a VNS Health

The SciTech organization at VNS Health is seeking a Data Analytics and AI Engineer to join our team. You will

work with Palantir and other AI programming tools like Python and Typescript to build and deploy data-driven

solutions across our healthcare system. You will be responsible for developing and managing data workflows,

analyzing large datasets and integrating AI and analytics solutions into real-world applications. This is a hands-on role that focuses on executing analytics use cases from start to finish, supporting end-to-end development of analytics applications.

What We Provide

• Referral bonus opportunities     
• Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays   
• Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life Disability    
• Employer-matched retirement saving funds   
• Personal and financial wellness programs    
• Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care     
• Generous tuition reimbursement for qualifying degrees   
• Opportunities for professional growth and career advancement    
• Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities 

What You Will Do

• Works with data and analytics team to strive for greater functionality in our data systems.
• Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS cloud native technologies.
• Creates and maintains optimal data pipeline architecture integrating large, complex data sets that meet functional and non-functional business requirements.
• Works with project stakeholders to assist with data-related technical issues and supports data infrastructure needs.
• Identifies, designs, and implements internal process improvements such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
• Builds analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Works with technical and non-technical business owners to streamline and update business logic and processes as needed.
• Participates in special projects and performs other duties as assigned.

Licenses and Certifications:

• Certification in Palantir AI platform preferred

Education:

• Bachelor's Degree in Computer Science, Data Science, Engineering, or a related field required

Work Experience:

• 2-3 years of experience in software development, data engineering, or analytics roles required
• Proficiency in programming languages like Python, SQL, and Typescript for building analytics
• applications and managing large datasets required
• Proven ability to translate broad business concepts into effective and scalable data solutions required
• Experience in developing data models and performing data analysis required
• Strong problem-solving skills and ability to work efficiently in a fast-paced environment,
• delivering impactful results while maintaining high-quality standards required
• Strong communication skills to convey technical concepts to non-technical stakeholders required
• Familiarity with designing scalable and efficient analytics frameworks preferred
• Hands-on experience with analytics platforms and tools, including performance optimization
• and data visualization tools preferred
• AI and LLM Aptitude: Strong curiosity and foundational understanding of AI concepts,
• including Large Language Models (LLMs), machine learning, and natural language processing
• (NLP), with a willingness to apply and deepen knowledge in these areas preferred
• Experience collaborating with senior leadership, IT, and business stakeholders to address
• strategic challenges preferred
• Familiarity with AI and data science platforms such as Palantir, Dataiku, DataRobot, or
• similar, for developing and deploying data-driven solutions preferred
• Experience with data visualization tools, such as Tableau, Power BI, or similar, for
• translating complex data insights into actionable, user-friendly visuals preferred
• Experience working with vendor technical support to address emergencies issues preferred