Data Scientist 2
Description
The Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.
Responsibilities
The Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.
Responsibilities
The Data Scientist 2 works on problems of diverse scope and complexity and must also be able to communicate complex quantitative analyses in a clear, precise, and actionable manner to their team and management level associates.
Come, join us if you’d like to…
- have fun with the rest of the team,
- develop right analytical solutions from a diverse repertoire of analytical techniques,
- be the disrupter, not the disrupted,
- mentor junior talent and be proud of seeing their growth,
- challenge & be challenged by the team and leadership.
You will play a role in helping Humana's Group Business Organization to understand how leveraging data will transform us from a health insurer to a provider of life-long well-being.
Humana associates who hold this role are expected to:
- Participate in discussions with the internal business partners to determine areas of challenge that are opportunities for analytics to be the right tool
- Develop analytical constructs based on addressing business challenges
- Perform exploratory data analysis, statistical modeling, machine learning and insights generation
- Combine and analyze diverse types of data to extract fresh, actionable discoveries about our members and their healthcare and health-related behavior
- Using machine learning and data mining techniques to understand the patterns in large volumes of data, identify relationships, detect data anomalies, and classify data sets.
- Participate in developing and selecting new data sources and ensuring the quality and reliability of the data
- Measure and communicate the effect of models in production
- Participate in relationships with Humana’s external partners
- Successfully work on problems of diverse scope and complexity, ranging from moderate to substantial, in a collaborative fashion alongside other individuals or teams
- Successfully demonstrate experience in working on problems of diverse scope and complexity ranging from moderate to substantial in a collaborative fashion alongside other individuals or teams
Required Qualifications
Bachelor degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) and 3+ years Analytics/Data Science related technical experience
Working knowledge and experience in at least one of the statistical analysis packages SAS, Python, R
Experience in building machine learning models(Regression, Decision Tree, Random Forest, Neural Networks, etc)
2+ years’ experience in data mining, statistics, analytical methods and tools, techniques and algorithms
Strong communication skills with ability to convey complex ideas efficiently
Preferred Qualifications
Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) and 2+ years Analytics/Data Science related technical experience
Experience in Structured Query Language (SQL)
Experience in programming language (Hadoop, Hive, Java, Scala etc.)
Experience with Data Science/AI/ML platforms like Data Robot, H2O
Working knowledge/ Experience in Big Data tools
Experience in data visualization such as Power BI, Tableau
Experience with health care data