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Lead Data Scientist
Health Care Service Corporation. Analyze and collect data using advanced mathematical and statistical concepts and theories .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in advanced statistical analysis, predictive modeling, and data-driven decision-making. Proficient in data analysis, machine learning, and programming, with a strong focus on delivering complex analytics projects and mentoring junior staff.
Highest-signal resume keywords
Predictive ModelingStatistical AnalysisData VisualizationMachine LearningData Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ModelingData AnalysisPredictive ModelsAlgorithmsRelational Query LanguagesHigh-Level Programming LanguageDistributed ComputingData ExtractionExperimental DesignProbability Engines
Soft Skills
Strong Interpersonal SkillsVerbal CommunicationWritten CommunicationCustomer FocusLearning Mindset
Certifications & Qualifications
Actuarial Credential
Industry Keywords
Quantitative FieldHealthcareData ScienceAnalyticsBusiness Solutions
About the role
Key responsibilities & impact- Analyze and collect data using advanced mathematical and statistical concepts and theories
- Construct solutions to business problems
- Perform complex statistical analysis on experimental or business data
- Construct predictive models, algorithms and probability engines
- 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 using predictive and prescriptive remodeling
- Extract actionable insights by identifying patterns in structured and unstructured data
Requirements
What you’ll need- 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 six areas, with demonstrated mastery in at least one: data analysis and relational-style query languages; machine learning and/or statistical modeling; data visualization; a high-level programming language; distributed computing; understanding of healthcare
- Track record of independently delivering or leading delivery of a complex analytics or data science project
- Track record of mentoring, managing, or leading junior analytics or data science staff
- Employment may be contingent upon successful completion of drug screening in accordance with applicable law
Benefits
Comp & perks- Health and wellness benefits
- 401(k) savings plan
- Pension plan
- Paid time off
- Paid parental leave
- Disability insurance
- Supplemental life insurance
- Employee assistance program
- Paid holidays
- Tuition reimbursement
- Other incentives
- Annual incentive bonus plan