Data Scientist 2

| Greater Boston Area
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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

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Location

Our bright, brand new, open-concept offices are located in the bustling Seaport district surrounded by like-minded high-tech and start-up companies.

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