Data Scientist

4 weeks ago

Exton, United States CareerBuilder Full time

Can be Remote or partial on-site in the Philadelphia Suburbs

Permanent, Contract or Contract-to-hire

Salary: 200-250K + 10-15% Bonus

Hourly Rate: Open

Individuals Need To Have Experience With Healthcare Data

Analyze the value of data, where to grow etc

Looking for an individual to Lead & set the vision

The Data Scientist will apply statistical theory and methods to collect, interpret, and summarize data, as well as make predictions and recommendations based on complex data sets including solutions for process improvement and new product development. Responsibilities include data extraction, evaluation and use of machine learning tools, analysis of proprietary data for patterns, and development of predictive models. A successful candidate will be versed in effective data visualization techniques with 10 years of relevant experience in the life sciences industries.

Key Responsibilities

Identifies new, strategic requirements for data and leads process of acquisition and productization
Develops and implements statistical models and algorithms to analyze complex data sets
Performs statistical analysis of data to identify trends and patterns and to build reports for stakeholders
Works with cross-functional teams to identify and define business problems and develop analytical solutions
Defines and steers implementation of processes and standards for Machine Learning tools, code, testing, and product deployment
Trains and mentors others with respect to advanced Data Science/AI/Machine Learning techniques and tools, mathematical and statistical understanding of Machine Learning, and industry best practices for Data Science development and solutions
Evaluates new technologies to drive best practices
Industry and Academic Awareness: Stays up-to-date with the latest developments in around AI and associated technologies in both academia and industry, integrating relevant advancements into our strategy

Education & Experience

Bachelor's degree in computer science, statistics, applied math or related field required
Extensive background in data mining and statistical analysis
Experience with SQL and statistical software packages (Python, R, SAS) required
Experience using business intelligence tools and data frameworks, working with AI and on product innovation
Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics
Experience with data de-identification and synthetic data generation/upscaling
Experience with large-scale healthcare data sets, including electronic health records, claims data, and patient-generated data
10+ years experience as data scientist

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