Data scientist consultant

Primary roles

• Hands on advanced data analytics and project management

• Apply innovative techniques to large claims data-sets to analyze a wide array of healthcare-related topics

• Investigate discrepancies between medical concepts and their manifestation in claims data-sets

• Contribute to hypothesis development for quasi-experimental designs

• Assist junior colleagues with the development of their programming and analytic skills

• Role in client management that will increase over time

​

Qualifications:

​

Ideally you will have:

• Minimum 3 years of experience in data science and use of statistical methodologies

• Minimum 2 years of developing machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and other.

• Strong quantitative and analytical skills with minimum 2 years of experience with data science tools, including Python, R, Scala, Julia, or SAS

• Bachelor’s degree in data science and related disciplines as mathematics, statistics, computer science,physics, or related fields. Master’s degree preferred

• Passionate, creative, and forward thinking

• Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions

• Demonstrable knowledge in artificial intelligence,machine learning,data science,and other relevant technical domains

• Possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients

Data scientist intern

Responsibilities:

​

• Work with product teams to investigate user behavior and develop data strategies (e.g., personalized recommendations) to improve product performance and ultimately health outcomes

• Leveraging data to measure and improve our offerings through metric development and instrumentation, data investigations, designing and interpreting experiments, exploratory research, and impact evaluation

• Proactively identify opportunities and solve challenging business problems with a variety of data tools in a fast-paced, collaborative environment

• Use predictive analytics and classical modeling techniques for statistical inference and creation of data insights

• Work in a variety of data environments, e.g., Hadoop HDFS, SQL, Mongo, etc.

• Focus on quality and process to ensure the integrity of our analytic output

​

Qualifications:

​

• Pursuing a Bachelors or Masters degree, or equivalent practical experience, in a data science program or technical analytics

• Experience driving analytic projects and investigations to produce measurable results

• Familiarity with data-driven product development (A/B testing, time series analysis, propensity modeling, etc.); you tailor your approach to the problem rather than trying to apply the same techniques everywhere

• Familiarity solving business challenges with data using scripting languages (such as Python or R) and SQL

• Experience in a big data environments, like Hadoop or Spark, is a plus