Associate Data Scientist

Summary of Major Responsibilities

The Associate Data Scientist performs data analysis to extract knowledge or insight from structured or unstructured data. He or she applies advanced statistical algorithms for analysis of large-scale, complex datasets. He or she keeps up to date with cutting-edge techniques in programming, machine learning, big data, and healthcare modeling and seeks ways to advance the organization’s capabilities in analytics.

Essential Duties and Responsibilities

  • Applies machine learning/deep learning/artificial intelligence techniques
  • Develops and implements Markov decision process models and healthcare economic models
  • Uses advanced analytics methods to extract value from business data
  • Performs large-scale experimentation and builds data-driven models to answer business questions
  • Creates hypotheses and experiments to identify hidden relationships and construct new analytics methods
  • Articulates a vision and roadmap for the utilization of data as a valued corporate asset
  • Visualizes information and develops reports on results of data analysis
  • Influences product teams through presentation of data-based recommendations
  • Spreads best practices to analytics and product teams
  • Implements new tools to make data analysis more efficient

Qualifications

Minimum Requirements

  • Bachelor’s degree in Statistics, Computer Science, or a related field
  • 2+ years of experience working with large datasets for drawing business insights
  • Fluency in Python programming
  • Experience using machine learning to solve complex business problems
  • Strong understanding of statistics and modeling techniques
  • Knowledge in predictive modeling
  • Experienced at leveraging both structured and unstructured data sources
  • Experience with relational databases and SQL
  • Willingness and ability to learn new technologies on the job
  • Demonstrated ability to communicate complex results to technical and non-technical audiences
  • Demonstrated ability to work with minimal supervision
  • Desire to work in a highly collaborative environment

 Desired Characteristics

  • Experience with distributed computing and big data technologies, such as Spark, or related technologies
  • Experienced with statistical methodologies and tools (R, SAS, SPSS, etc.)
  • Experience with Natural Language Processing, Information Retrieval, or Recommender Systems
  • Experience with mathematical optimization, control theory, time-series analysis would also be an added advantage

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EEO Disclosure

Exact Sciences is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state or federal law. Applicable portions of the Company’s affirmative action program is available to any applicant or employee for inspection upon request. 


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