Data Scientist

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What Will Be Your Purpose

Data Scientists produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, machine learning and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries. Use a flexible, analytical approach to design, develop, and evaluate predictive models. Generate and test hypotheses. The Data Scientist proactively seeks to develop their skillsets and provide value-added support within the Data Science team.

What Will You Be Doing

Communication & Project Ownership

• Manage projects in their entirety and requires minimal direction and receive guidance when needed
• Partner with senior team members to assess customer needs and define business questions and derive solutions.
• Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to analytical and non-technical business partners.
• Identify and communicate roadblocks.
• Work on multiple concurrent projects and accommodate frequent interruptions and changing priorities.
• Effectively participate in meetings with customers and emerging ability to guide discussion and decision making.

Data Analysis

• Acquire and bring structure to data so that it can be used in existing and new data systems.
• Build tools that help you and the other Data Scientists translate insights into action at scale.
• Identify, define and translate business needs/problems into analytical questions by understanding organizational strategy and objectives. Design and execute experiments, models, algorithms, and visualizations
• Understand data sources and limitations, warehousing system, and the impact of the data on business decisions.
• Research and evaluate statistical and computational methodologies to provide actionable insights and identify opportunities that optimize quality, consumer experience, and healthcare costs and propose solutions.
• Develop scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.

Reporting & Other

• Contribute to technical reports, white papers, and publications.
• Stay current on new processes and technology in Data Science and communicate findings to team.
• Perform all other tasks as assigned

Leadership

• Emerging ability to mentor junior team members

What You Must Have

• 3+ years related work experience in advanced analytics or similar role.
• Related Bachelor’s degree or additional related equivalent work experience with data science, Applied Mathematics, Computer science (e.g., specialization: machine learning, artificial I intelligence (AI), visualization, databases, and big data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization.
• Requires experience with object-oriented programming such as Python or Java. and statistical packages – 1 yr. of R or Python.
• Requires expert proficiency in SQL
• Requires experience with visual analytical packages such as Tableau or Microsoft Power BI
• Strong analytical and problem-solving skills
• Experience in supporting large projects and manage smaller projects in their entirety
• Ability to partner with senior team members to assess customer needs and define business questions.
• Emerging ability to influence customers to take action on analytical insights.
• Ability to communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.
• Must have applied experience with advanced analytics e.g., predictive analytics models
• Must have applied experience in Machine Learning

What We Prefer

• Master’s degree Applied Mathematics, Computer science (e.g., specialization: machine learning, artificial I intelligence (AI), visualization, databases, and big data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization
• Experience in Big Data - e.g., Hadoop Business Intelligence tool development
• Other programming experience - Java, Perl, Python, UNIX/Linux scripting Healthcare, medical, or pharmaceutical work experience
• Experience with analysis around quality, consumer experience, and healthcare costs Experience in consumer analytics
• Experience in business analytics 3 years of SAS, SAS EG, and SAS EM

General Physical Demands

Sedentary work: Exerting up to ten pounds of force occasionally to move objects. Jobs are sedentary if traversing activities are required only occasionally.

What We Offer

As a Florida Blue employee, you will thrive in our Be Well, Work Well, GuideWell culture where being well as an individual, and working well as a team, are both important in serving our members and communities.

To support your wellbeing, comprehensive benefits are offered. As an employee, you will have access to:

• Medical, dental, vision, life, and global travel health insurance.
• Income protection benefits: life insurance, Short- and long-term disability programs.
• Leave programs to support personal circumstances.
• Retirement Savings Plan includes employer contribution and employer match.
• Paid time off, volunteer time off, and 11 holidays

• Additional voluntary benefits available; and a comprehensive wellness program.

Employee benefits are designed to align with federal and state employment laws. Benefits may vary based on the state in which work is performed. Benefits for intern, part-time and seasonal employees may differ.

Salary

To support your financial wellbeing, we offer competitive pay as well as opportunities for incentive or commission compensation. We also conduct regular annual reviews with pay for performance considerations for base pay increases.

• Typical Annualized Hiring Range: $85,900 - $107,400
• Annualized Salary Range: $85,900 - $139,600
• Final pay will be determined with consideration of market competitiveness, internal equity, and the job-related knowledge, skills, training, and experience you bring.

We are an Equal Opportunity/Protected Veteran/Disabled Employer committed to creating a diverse, inclusive and equitable culture for our employees and communities.