Data Scientist

Tel Aviv-Yafo, Tel Aviv District, IL

Full Time Mid-level / Intermediate USD 70K - 130K *

Vi

VI helps health organizations leverage AI to maximize member health outcomes and financial returns.

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Posted 1 month ago

Description

VI is the market leading Enterprise-AI platform for health, serving the world’s largest health organizations — from Fortune 500 health providers to pharma and consumer brands — helping them maximize acquisition, enrollment, engagement, retention, and health outcomes. Vi offers 3 main product lines: Acquire, Engage and Transform.

Backed by $60M+ in R&D, our powerful platform serves over 100 million members daily — and growing. We are based in New York, Austin, Nashville & Tel Aviv.

We are seeking a Data Scientist to join our Data team and help us leverage and develop innovative machine learning, NLP, and AI technologies for solving problems within a wide scope.

As the Data Scientist, you will be making key determinations regarding our various products and their development. You will play a key role in building our solution, driving quality, and addressing scale. You will also work closely with our B2B clients, product and project managers.

Responsibilities

Own the Data Science deliverables across our various products
Conduct exploratory research on structured and unstructured data
Be involved in team architectural discussions
Research, build and deploy ML models in different domains
Create technical specifications and project documentation
Lead data mining and collection procedures
Ensure data quality and integrity
Collaborate with sales and product teams and derive explainable business insights
Collaborate with data and software engineers to enable deployment that will scale across the company’s ecosystem

Requirements

MSc degree in Computer Science or a related technical field or equivalent practical experience
Strong business understanding and high execution mentality
3+ years of proven experience in delivering production level ML solutions
Experience with time series modeling, supervised and unsupervised learning
Experience with Causal Inference
Deep understanding of ML theory and the math behind the models
Building interpretable and explainable solutions (not just accurate)
Proficiency in Python, relational and NoSQL databases, Git
Knowledge of data management and visualization techniques
Technologically diverse background and ability/willingness to learn new things quickly
Strong engineering and communication skills
Advantage: experience with Multi-Arm Bandits
Advantage: experience with LLMs