Data Scientist II - III

• Level 2 Data Scientist II (Gr 30 -31 )
• Level 3 Data Scientist III (Gr 32-33 )

• Discover business insights, identify opportunities and provide solutions and recommendations to solve business problems through the use of statistical, algorithmic, data mining and visualization techniques.

REQUIRED QUALIFICATIONS

Required Work Experience

• 2 years of experience in applied statistics, data analysis using analytic tools and methodologies (Lev 1)
• 4 years of experience in applied statistics, data analysis using analytic tools and methodologies (Lev 2)
• 6 years of experience in data analysis using analytic tools using advanced statistical methodologies, machine learning and/or data mining techniques (Lev 3)

Required Education

• Bachelors Degree in informatics, data science, statistics, computer science, mathematics, machine learning, or related field of study (All Levels)

Required Licenses

• N/A

Required Certifications

• N/A

PREFERRED QUALIFICATIONS

Preferred Work Experience

• 2 years of experience in predictive analytics in a healthcare organization (Level 1)
• 4 years of experience in predictive analytics in a healthcare organization (Level 2)
• 6 years of experience in predictive analytics in a healthcare organization (Level 3)

Preferred Education

• Masters degree in informatics, data science, statistics, research or related field of scientific discipline or equivalent work experience (Level 3)

Preferred Licenses

• N/A

Preferred Certifications

• N/A

ESSENTIAL Job Functions AND RESPONSIBILITIES

Level 1

• Under close supervision, conduct predictive analyses for population health management, marketing campaign management and forecasting,
• Analyze and design solutions using healthcare data
• Work with datasets of varying degrees of size and complexity including both structured and unstructured data
• Analyze and mine multiple data sources to select statistically valid data samples
• Build, test and implement machine learning models by investigating appropriate methods and algorithms
• Develop analytical datasets and transform fields from data sources as necessary for modeling
• Work with other departments to develop research plans to match company goals
• Strategize on approaches to develop robust and meaningful analytics
• Prepare and co-present reports of model performance and business recommendations
• Assist internal departments with interpretation of results based on the models
• Pursue expansion of current knowledge and skills

Level 2

• Under general supervision conduct predictive analyses for population health management, marketing campaign management and forecasting,
• Display initiative in research beyond the specific assignment
• Develop proprietary machine learning algorithms to build customized solutions
• Prepare and present reports of model performance and business recommendations
• Lead consultations with internal departments with interpretation of results based on the models
• Demonstrate good communication skills in order to directly communicate at a consumer level with internal clients
• Partner with peers to establish, evaluate, and continually improve measurement methodologies, while adhering to nationally accepted analytic and reporting standards
• Serve as an internal technical and analytic consultant to define business questions and transform data into meaningful and actionable information within a specified timeframe
• Meaningfully contribution to the areas workload, considering volume and complexity
• Pursue expansion of current knowledge and skills
• Provide self- and peer-review of Level 1

Level 3

• Report to a manager who provides minimal supervisory instructions, limited project management, and minimal or limited review of results, beyond pre-release peer review
• Along with research, create analyses and recommendations that will allow BCBSAZ to meet its goals
• Deliver business intelligence to clients by applying and demonstrating expertise in the areas of advanced analytics, machine learning, forecasting, data wrangling, and predictive modeling
• Plan and lead complex projects from inception to completion. Includes working independently on creating timelines, working with other areas to define deliverables, monitoring progress, implementing the project and resolving/monitoring post-implementation issues
• Communicate (both verbally and in writing) and interprets results, recommendations and abstract concepts to internal and external customers. Anticipate and addresses possible customer questions and concerns
• Build and maintain close working relationships with internal stakeholders (Account Management teams, Health Services, Provider Network, Marketing, Underwriting, Actuarial, IT) and key external client contacts (Brokers/GBAs, BCBS Association, Blues Plans, Vendors)
• Produce complex analytic solutions
• Incorporate strategic planning in all areas of responsibility
• Train and mentor other data scientists and provide peer review

ALL LEVELS

• Each progressive level includes the ability to perform the essential functions of any lower levels and mentor employees in those levels.
• The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements.
• Perform all other duties as assigned.

Imagine doing life-changing work and helping more than one million Arizonans live healthier and longer lives. Thats the kind of satisfaction youll find when you work here. Our exceptional teams in Phoenix, Tucson, Chandler, and Flagstaff have been transforming healthcare for more than 80 years. Explore what's possible with a career at Blue Cross BlueShield of Arizona