Data Scientist jobs in United States
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Lincare · 1 day ago

Data Scientist

Lincare is a company focused on AI-driven initiatives to enhance revenue growth and patient value. The Data Scientist will lead analytics projects, develop machine learning algorithms, and implement AI technology to drive business success.

Health CareHealth DiagnosticsMedical
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H1B Sponsor Likelynote

Responsibilities

Responsible for data analytics / data science on massive sets of complex and, sometimes, unstructured data to prepare for statistical analysis
Manipulates or converts data according to analysis needs; and develops approaches to deal with imperfections in data (e.g. missing values or inconsistent data formatting)
Identifies and executes on best approach for assigned project which may include skills including machine learning, NLP, LLMs, deep learning, neural networks or any other data science function
Develops reports using complex formulas; analyzes and reviews results for accuracy
Understands how to work with multiple data sources, and accurately accesses the correct data within complex databases based on business needs and reporting requirements
Will be comfortable interacting at all levels of technology teams both internal and external to Lincare. (project managers, database designer, information architecture, multilayer off-shore support centers, etc.)
Manages projects to ensure they are delivered successfully and in a timely manner
Identifies opportunities to improve revenue, productivity/efficiency as well as enhance patient life time value using data science technologies
Performs other duties as assigned
Complies with all policies and standards

Qualification

Machine LearningNatural Language ProcessingData EngineeringSQLPythonR-MarkdownLarge Language ModelsTechnical TrainingProject Management

Required

building machine learning algorithms
data engineering
natural language processing (NLP)
large language models (LLMs) and any other required AI skills
Technical coding skills are also required and include SQL code, R-Markdown and Python
statistical knowledge
complete any assigned analytical projects in a timely and efficient manner
identify, plan and implement any other use cases for AI technology to help drive business success and improvement
take a key role in the planning and development of Lincare's AI platform and strategy
focus on business impact and have measurable outcomes for success measurement
work with other teams to gain insight and to provide technical training to others
data analytics / data science on massive sets of complex and, sometimes, unstructured data to prepare for statistical analysis
manipulates or converts data according to analysis needs
develops approaches to deal with imperfections in data (e.g. missing values or inconsistent data formatting)
identifies and executes on best approach for assigned project which may include skills including machine learning, NLP, LLMs, deep learning, neural networks or any other data science function
develops reports using complex formulas
analyzes and reviews results for accuracy
understands how to work with multiple data sources
accurately accesses the correct data within complex databases based on business needs and reporting requirements
comfortable interacting at all levels of technology teams both internal and external to Lincare
manages projects to ensure they are delivered successfully and in a timely manner
identifies opportunities to improve revenue, productivity/efficiency as well as enhance patient life time value using data science technologies
complies with all policies and standards

Company

Lincare was founded on the belief that through patient education and clinical support, we can improve patient compliance with physicians'

H1B Sponsorship

Lincare has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6)
2024 (2)
2023 (1)
2022 (2)

Funding

Current Stage
Public Company
Total Funding
unknown
2012-07-02Acquired
1992-01-01IPO
1990-11-29Private Equity

Leadership Team

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Amy Q.
Human Resources Business Partner
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Brian Nannie
Chief Data Officer
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Company data provided by crunchbase