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Data Scientist 2

A world leader in cloud solutions that uses tomorrow's technology to tackle today's challenges, partnering with industry-leaders in almost every sector for over 40+ years.
Burlington, MA, USA
$102,856 - $158,999
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Data Scientist 2

Oracle is seeking a Data Scientist 2 to join their team in Burlington, MA. This role combines technical expertise in machine learning, data analysis, and software development to drive actionable insights from big data. As a Data Scientist at Oracle, you'll work on designing and implementing sophisticated data analysis systems, developing machine learning algorithms, and creating automated processes to handle large-scale data operations.

The position requires a strong foundation in statistics, machine learning, and programming, with expertise in tools like Python or R. You'll be working with cutting-edge technologies to solve complex business problems, collaborating with cross-functional teams to identify opportunities for data-driven improvements in products and services.

Oracle offers a comprehensive benefits package including competitive salary, medical/dental/vision insurance, 401(k) with company match, flexible vacation policy, and various other benefits. The company maintains a strong commitment to work-life balance and professional development.

This is an excellent opportunity for a data scientist who wants to work with big data at scale, implement advanced machine learning solutions, and make a significant impact at a leading global technology company. The role offers exposure to diverse projects and the chance to work with some of the most sophisticated data infrastructure in the industry.

As a world leader in cloud solutions, Oracle provides a stable yet innovative environment where you can grow your career while working on meaningful projects that impact millions of users. The company's commitment to diversity, inclusion, and employee development makes it an ideal place for professionals looking to advance their careers in data science and machine learning.

Last updated a day ago

Responsibilities For Data Scientist 2

  • Design, develop and program methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources
  • Generate actionable insights and solutions for client services and product enhancement
  • Interact with product and service teams to identify questions and issues for data analysis and experiments
  • Develop and code software programs, algorithms and automated processes
  • Cleanse, integrate and evaluate large datasets from multiple disparate sources
  • Identify meaningful insights from large data and metadata sources
  • Interpret and communicate insights and findings to product, service, and business managers

Requirements For Data Scientist 2

Python
  • Master's degree in Computer Science, Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Engineering, or related technical field
  • Knowledge of Statistics and probability for data-driven decisions
  • Experience with Econometrics
  • Implementation of algorithms for classification, clustering, and deep learning
  • Machine Learning techniques including OLS regression, Clustering using EM algorithm for MLE, Decision Trees, Random Forests, SVM, and Naïve Bayes Classifier
  • Proficiency in R or Python
  • Knowledge of computer vision concepts or image processing and object recognition

Benefits For Data Scientist 2

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Mental Health Assistance
  • Medical, dental, and vision insurance
  • Short term and long term disability
  • Life insurance and AD&D
  • Health care and dependent care Flexible Spending Accounts
  • Pre-tax commuter and parking benefits
  • 401(k) with company match
  • Flexible Vacation policy
  • 11 paid holidays
  • 72 hours paid sick leave
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan
  • Financial planning and group legal

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