Description
The position of Data Scientist at Highmark Health involves the development of new analytical solutions that enhance business processes and operations within our advanced analytics capability. The candidate will design, execute, and synthesize point analytics that address specific business queries, primarily focusing on unstructured medical documents. This role requires a data-driven problem solver who leverages the organization’s business strategies and data resources to provide insights and inform critical decisions. The individual will apply statistical and machine learning techniques to perform analyses, create predictive models, visualize data, and guide projects to successful completion.
Company Culture and Environment
Highmark Health fosters a collaborative and innovative environment where employees are encouraged to explore new data sources, tools, and analytical techniques. The company values continuous learning and the sharing of knowledge among colleagues, promoting a culture of mentorship and professional growth.
Career Growth and Development Opportunities
The role offers significant opportunities for career advancement, including the potential to lead major projects, mentor others, and contribute to cutting-edge analytic projects. Employees are encouraged to participate in conferences and professional associations, enhancing their visibility and credibility in the field.
Detailed Benefits and Perks
• Competitive salary based on experience
• Opportunities for mentorship and professional development
• Participation in industry conferences and associations
• Access to advanced tools and methodologies in analytics
Compensation and Benefits
• Pay Range Minimum: $108,000.00
• Pay Range Maximum: $199,800.00
• Base pay is determined by qualifications, experience, contributions, and internal equity considerations.
Why you should apply for this position today
This role offers a unique opportunity to work at the intersection of data science and healthcare, making a direct impact on business operations and patient care. The chance to contribute to innovative projects while collaborating with a talented team makes this position an exciting career choice.
Skills
• Proficiency in business problem analysis
• Advanced analytical and logical reasoning skills
• Collaborative problem-solving abilities
• Data analysis using SQL and BigQuery
• Statistical analysis using Python and R
• Strong written and oral presentation skills
• Basic prototyping and front-end skills
Responsibilities
• Collaborate with business teams to identify and outline complex use cases
• Assemble and deliver analytical solutions for multiple business challenges
• Document objectives and processes to enhance organizational standards
• Select and apply advanced modeling techniques to deliver insights
• Translate analysis results into actionable business strategies
• Lead implementations that integrate findings into frontline workflows
• Mentor and teach others in the analytics field
• Engage with external institutions for collaborative projects
Qualifications
• Required: 5+ years of experience in Data Science, or 3+ years if holding a PhD
• Preferred: Experience in Natural Language Processing and Computer Vision
• Experience in the Healthcare/Health Insurance sector is a plus
Education Requirements
• Master’s degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology, or a related field
• OR a Bachelor’s degree with 3 years of relevant work experience in lieu of a Master’s degree
Education Requirements Credential Category
• Master’s degree or equivalent experience in a relevant field
Experience Requirements
• Minimum of 5 years in Data Science
• Minimum of 3 years in Data Science if holding a PhD
Why work in Austin, TX
Austin offers a vibrant culture filled with music, art, and outdoor activities, making it an attractive place to live and work. Renowned for its tech scene, Austin provides numerous professional opportunities and a supportive community for innovation. The city’s diverse culinary landscape and rich history further enhance its appeal, creating a well-rounded lifestyle for residents.
Location: Austin, TX
Posted: Oct. 27, 2024, 9:48 p.m.
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