Data Analytics and AI Engineer

Visiting Nurse Service of New York-posted about 2 months ago
Full-time • Mid Level
New York, NY
5,001-10,000 employees
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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.

  • 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.
  • 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
  • Certification in Palantir AI platform preferred
  • 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
  • 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
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