Data Scientist

Data Scientist - $85/hr c2c

No healthcare experience required anymore, just an experienced data scientist with enterprise level experience.

JOB DESCRIPTION:

Responsible for communicating complex data or algorithms into simple conclusions that

empower business improvement actions across the healthcare continuum based on

derived insights. This position identifies and quantifies market opportunities, forecasts

market behavior, and analyzes ways to maximize the use of current physical assets.

Additionally, this role drives insights into actions that improve decision-making and

business results. In addition, this position participates in maintaining respectful

relationships and outstanding customer service. Contributes to the overall success of the

organization through effective communication and data analysis.

Job Description

Provides regular reports and presentations on market trends and utilization

forecasts.

Drives insights into actions that improve decision-making and business

results.

Maintains respectful relationships and outstanding customer service.

Uses statistical methods to predict market behavior and utilization rates.

Monitors and evaluates the effectiveness of forecasting models and adjusts

as needed.

Communicates complex data insights in a clear and actionable manner.

Collaborates with cross-functional teams to integrate data-driven insights

into business strategies.

Identifies and quantifies market opportunities based on data analysis.

Analyzes historical performance data to identify trends and patterns.

Develops models to forecast future market trends and utilization behavior.

Applies learnings from past performance to improve forecasting accuracy.

Designs data architecture to work within the needs of the project and tools

available.

Other duties as assigned.

Knowledge, Skills, and Abilities:

Expertise in statistical modeling and predictive analytics techniques, such as

regression analysis and decision trees

Ability to use advanced statistical modeling techniques to convert data into

actionable market insights

Strong problem-solving skills with ability to think and act strategically

Superb communication skills explaining complex quantitative models to Business

Development, Marketing, and Senior Executives

Achieve defined project goals within customer deadlines; proactively communicate

status and escalate issues as needed

Strong programming skills for pulling data, quantifying, and visualizing results

Comfortable using varied platforms and applications such as SQL and Snowflake

Proficiency in Microsoft Office products (Microsoft Word, Power Point, Excel and

Access) and statistical packages, such as R and Python

Quality-focused with attention to detail and accuracy

Experience in Python

Experience Developing Machine Learning Models

Experience in Power BI

Ability and willingness to stay informed about emerging technologies, including

artificial intelligence, and their relevance to the role.