Senior Data Scientist

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🗽 New York – Remote

🗽 New York – Remote

💵 $97.3k - $124k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Bellese Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

Healthcare Insurance • Technology • Public Sector Service

Bellese Technologies is a company focused on improving the healthcare journey through civic innovation. They are not just a digital service provider, but a partner committed to supporting millions of Americans with civic tech solutions. The company prides itself on being accessible, transparent, and trusted, as evidenced by its recognition as one of the 'Top 20 Most Promising Tech Solution Providers for the Public Sector' by CIO Review Magazine. Bellese emphasizes service design, product management, data science, and software engineering, all with a focus on improving quality of care and price transparency in healthcare. Their work involves end-to-end discovery methods to create services and digital products that meet program, policy, and user needs. The company operates with a human-centered and innovative approach, ensuring their solutions are both practical and effective, especially in the public healthcare sector.

📋 Description

• Work collaboratively with Human Centered Design lead to take input from multiple forums, analyze the data, visualize the data, and form insights and predictions supporting the Centers for Medicare & Medicaid Services (CMS) initiatives • Support the product design process with data in a way that reflects and responds to the functional, social, and emotional behavior of users • Build predictive models, data visualizations, and tools for analysis • Build AI tools that automate processes, recommendation engines, and automated lead scoring systems • Provide insights through the combination of qualitative design research and exploratory data analysis • Research and analyze data sources for patterns and clusters for CMS Procedure Price Lookup tool • Create data visualizations that tell stories to help stakeholders understand a problem space or lead to insight • Ability to solve problems while considering timeliness, effectiveness, and practicality • Ability to apply critical thinking skills to conduct an objective analysis • Programming skills in R, Python and/or other programming languages used for data science purposes • Work in an agile environment, delivering incremental product functionality in short iterations • Selecting features, building and optimizing classifiers using machine learning techniques • Data mining using state-of-the-art methods • Enhancing data collection procedures to include relevant information for analytic systems • Processing, cleansing, and verifying the integrity of data used for analysis • Performing ad-hoc analysis and presenting results clearly • Creating an automated anomaly detection system

🎯 Requirements

• Experience with Python, PySpark, R • Experience with unsupervised and supervised machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. • Experience with data visualization tools • Experience applying statistical methods and concepts, such as distributions, statistical testing, regression, etc. • Experience with Sparklyr

🏖️ Benefits

• Remote First, Remote Only Culture • Four weeks paid time off yearly (prorated based on start date for the first year) • 10 paid floating company holidays • Flexible schedule • Work from home setup including a Macbook • Collaborative, learning environment • Medical, dental, and company-paid vision insurance • Optional HSA account with some medical plans and a company contribution • Company paid basic life and AD&D insurance coverages • Company paid short and long term life insurance • Optional critical illness and accident insurance • 401K plan with 3% safe harbor contribution • Wellness resources and virtual care • Perks Plus employee discounts