Senior Data Scientist, Healthcare Analytics & Impact

HCSC Group; Richardson (TX); On-site; USD 112,000 - 203,000; Full time

Job summary

HCSC is seeking a data science professional to apply advanced mathematical and statistical concepts for data analysis and model development within a healthcare context. The role involves building predictive models, validating them with real-world results, and designing experiments to collect relevant data for business insights.

The candidate should have strong communication skills, mentoring/leadership experience, and a track record delivering complex analytics projects.

Qualifications

• Bachelor’s degree and 5 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential or Master’s degree and 4 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 9 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field.
• Strong learning and growth mindset
• Customer focus
• Strong interpersonal, verbal and written communication skills.
• Proficiency in at least five of the following six areas, and demonstrated mastery in at least one: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.
• A track record of independently delivering or leading the delivery of a complex analytics or data science project.
• A track record of mentoring, managing, or leading junior analytics or data science staff.

Responsibilities

• Analyze and collect data and construct solutions to business problems.
• Perform complex statistical analysis on experimental or business data to validate and quantify trends or patterns.
• Construct predictive models, algorithms and probability engines to support data analysis or product functions.
• Verify model and algorithm effectiveness based on real-world results.
• Design experiments and methodologies to generate and collect data for business use.
• Aid tactical decision making by using predictive and prescriptive remodeling; and extracting actionable insights by identifying patterns in structured and unstructured data.

Job description

HCSC is seeking a data science professional to apply advanced mathematical and statistical concepts for data analysis and model development within a healthcare context. The role involves building predictive models, validating them with real-world results, and designing experiments to collect relevant data for business insights.

The candidate should have strong communication skills, mentoring/leadership experience, and a track record delivering complex analytics projects.