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Data Scientist

Cambridge, MA
Top 3 Must Have Skill Sets:    

• Master’s in Computer Science, Data Science, Engineering, or closely related technical fields.
• Proficiency in Python (Required), R and SQL.
• Experience in Databricks, AWS, GitLab/GitHub, and Jupyter Notebook.

Job Description:

The Digital Integration and Predictive Technology (DIPT) organization at is seeking applicants for a Data Scientist position to help drive global digital initiatives within artificial intelligence and data analytics. Although the position will begin remotely, it will eventually be based in either Thousand Oaks, CA or Boston, MA. This exciting opportunity will expose candidates to unique areas of data science including:

• Building a wide range of data and analytics solutions, from descriptive to prescriptive using advanced statistical and machine learning models.
• Solving problems by building robust machine learning and deep learning models within the field of natural language processing.
• Developing classifiers, predictive models, chatbots, search engines, and much more.
• Leveraging large datasets to conduct end-to-end analytics that include data gathering, processing and analysis.

Basic Qualifications:

• Master’s Degree
OR
• Bachelors Degree & 2 years experience (Academia or Industry experience)
OR
• Associates Degree & 6 years experience (Academia or Industry experience)

Preferred Qualifications:

• Master’s in Computer Science, Data Science, Engineering, or closely related technical fields.
• Proficiency in Python (Required), R and SQL.
• Experience in Databricks, AWS, GitLab/GitHub, and Jupyter Notebook.
• Experience with NLTK, PyTorch, or Tensorflow.
• Experience in Machine Learning, Deep Learning, and Natural Language Processing.
• Strong analytical and problem-solving skills with the ability to collect, organize, and analyze large amounts of data.
• Familiarity with basic DevOps, and good software practices (version control, etc…)
• Independent, self-motivated, organized, and excited to learn.
• Team-player, collaborative, cross-functional.

"This posting is for Contingent Worker, not an FTE"

 

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