Senior Data Scientist – AI Application Solutions Engineer

🕒 September 9

🇺🇸 United States – Remote

💵 $84k - $141.8k / year

⏰ Full Time

🟠 Senior

💻 Application Engineer

👻 Ghost score 43%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 62 days.
• Jobs at this company usually fill in 21 days.
• Reposted 2 times.

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VSP Vision Care

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1955

🏥 Healthcare

📣 Marketing

🍽️ Food & Beverage

Healthcare • Marketing • Food & Beverage

VSP Vision Care is a leading eye care company that focuses on providing access to quality eye care and eyewear solutions. With a comprehensive portfolio of services, VSP Vision Care supports both individuals seeking eye health services and providers managing their practices. The company is committed to social responsibility, emphasizing health equity, sustainability, and a culture of belonging. Through initiatives such as Follow Your Heart, VSP Vision Care helps people maximize the value of their offerings, starting with eyewear. Recognized for its customer service excellence and commitment to diversity and inclusion, VSP Vision Care strives to empower human potential through sight. It has also been acknowledged as a top workplace in healthcare and is committed to supporting veterans and the military-connected community.

📋 Description

• Model complex business problems and discover business insights using statistical, algorithmic, mining, and visualization techniques • Conduct experiments and methodologies to generate and collect data for business use • Mine available data to identify trends and patterns and generate insights for LOBs and senior leadership • Partner with LOBs to identify questions and issues for data analysis and experiments • Perform complex statistical analysis on experimental or business data to validate and quantify trends or patterns • Construct predictive models, algorithms, and probability engines to support data analysis or product functions • Verify model and algorithm effectiveness based on real-world results • Identify meaningful insights from large data and metadata sources • Interpret and communicate insights and findings to product, service, and business managers • Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from disparate sources • Research and apply existing and emerging data science principles, theories, and techniques to inform business decisions • Use advanced mathematical and statistical concepts to analyze and collect data and construct business solutions • Research and implement machine learning, deep learning, and artificial intelligence techniques and tools • Support user experience specialists and information architects in enhancing information visualization • Develop dashboards and user interface best practices for analytics and product teams • Provide consultations for data-based experimentations • Assist in communicating Enterprise data governance principles throughout the company

🎯 Requirements

• Bachelor’s degree in computer science, data science, statistics, economics, or related functional area; or equivalent experience • 6 years of demonstrated experience in Analytics, Data Science, Machine Learning, AI Platform/Solution Development, Data & AI Engineering, Cloud Platform Engineering, or a related discipline • Flexible and able to change priorities and direction quickly and effectively • Excellent written and verbal communication, presentation, and analytical skills • Strategic skills, business acumen, and curiosity to support envisioning work, program planning, and strategic partnerships • Ability to regularly exercise discretion and independent judgment • Remain current in the field, including new techniques, approaches, and software • Experience developing and deploying AI, generative AI, and analytics solutions • Experience partnering across the full solution lifecycle, including requirements gathering, design, development, testing, implementation, and end-user adoption • Ability to deliver scalable, secure, and maintainable solutions leveraging generative AI, intelligent agents, and advanced analytics technologies • Proficiency with Python, React, TypeScript, Node.js, APIs, and data visualization frameworks • Experience designing and implementing AI-enabled solutions using LLMs, machine learning, vector embeddings, semantic search, Snowflake Cortex, and emerging AI technologies • Experience building and deploying Retrieval-Augmented Generation (RAG) solutions • Ability to evaluate and optimize AI-generated outputs for accuracy, reliability, performance, security, and business value • Experience utilizing AI-assisted development tools and modern engineering practices • Knowledge of performance monitoring, observability, reliability, scalability, and operational support for AI and analytics solutions in production • Understanding of security, privacy, governance, responsible AI principles, and compliance considerations • Experience working with cloud-based AI, analytics, and data platforms in enterprise environments • Strong collaboration and communication skills with the ability to translate business needs into technology solutions

🏖️ Benefits

• Eligible bonuses and commissions may be included as part of the compensation package • VSP Vision benefits (specific benefits not detailed in the posting)

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