Senior Data Scientist

7 hours ago

india, IN Mitchell Martin Inc. Full time

Essential Duties

Include but are not limited to the following:

  • Apply machine learning, deep learning, and artificial intelligence techniques.
  • Use advanced analytics methods to extract value from business data.
  • Perform large-scale experimentation and build data-driven models to answer business questions.
  • Create hypotheses and experiments to identify hidden relationships and construct new analytics methods.
  • Develop and implement Markov decision process models and healthcare economic models.
  • Visualize information and develop reports on results of data analysis.
  • Influence product teams through presentation of data-based recommendations.
  • Spread best practices to analytics and product teams.
  • Implement new tools to make data analysis more efficient.
  • Ability to communicate complex results to technical and non-technical audiences.
  • Excellent verbal and written communication skills.
  • Support and comply with the company’s Quality Management System policies and procedures.

Minimum Qualifications

  • Bachelor’s degree in computer science, data science, information technology, or related field.
  • 3+ years of professional experience working with large datasets for drawing business insights.
  • 1+ years of experience in a data science role.
  • Professional working knowledge of machine learning; including solving complex business problems, predictive modeling, leveraging both structured and unstructured data sources, relational databases, and SQL.
  • Professional working knowledge of statistics and modeling techniques.
  • Fluent in Python or R programming.
  • Demonstrated ability to learn new technologies.
  • Proficient in Microsoft Office.


Preferred Qualifications

  • Master’s degree in science, technology, engineering, mathematics, or related field.
  • Experience in cloud environments.
  • Professional working knowledge of distributed computing and big data technologies, such as Spark or related technologies.
  • Professional working knowledge of statistical methodologies and tools (R, SAS, SPSS, etc.), mathematical optimization, control theory, and time-series analysis.
  • Professional working knowledge of Natural Language Processing, Information Retrieval, or Recommender Systems.

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