Senior Software Developer

Job Description

Oracle’s Cloud Infrastructure team is based in downtown Seattle and is building new Infrastructure-as-a-Service technologies that operate at high scale in a broadly distributed multi-tenant cloud environment. Our customers run their businesses on our cloud, and our mission is to provide them with best in class, foundational cloud services. Oracle's Cloud team is being built with an entrepreneurial spirit that promotes an energetic, creative, and collaborative environment; while ensuring that employees are supported in their career goals and have opportunities for training and education. We appreciate and value commitment to family and enthusiastically encourage work / life balance.

We are specifically looking for a Principal Data Scientist to join the Support Insights & ML Platform team. The team is dedicated to providing accurate data and partnering with teams to help them discover actionable narratives in their data; both by describing the past and predicting the future. We believe information enables success, and we are committed to providing clear insights for all levels of the organization. The ideal candidate will have proven experience with requirements gathering, data modeling and analysis, and communicating insights. If you are passionate about taking ownership of concrete data challenges and producing business intelligence solutions that have broad, significant impacts - come join our team!

Responsibilities

In this role, you will:

• Remain current with, and apply capabilities and technology designs and solutions in the area of predictive modeling, machine learning, deep learning, reinforcement learning, and optimization to solve business problems in a Cloud Service Provider setting.

  
  


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  Partner with business, product, and engineering stakeholders in the development of inference-driven features.

  
  


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  Design, prototype, implement and test descriptive, predictive, sentiment, clustering, and translation models

  
  


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  Help Cloud Engineering, Operations, and Support organizations solve systemic issues and identify drivers through the use of data science techniques and methods

  
  


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  Work with ML engineers and analyst to architect and develop operational models that run at scale

  
  


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  Partner with teams to identify and explore opportunities for the application of machine learning and predictive analysis, and improving existing models

  
  


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  Communicate with technical and non-technical audiences, and contribute modeling expertise as a team player

  
  


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  Develop strong hypotheses, independently solve problems, and share actionable insights with engineering leadership

  
  


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  Apply analytic rigor to synthesize data into an clear narrative that allows for data-driven decision making across the organization

  
  


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  Program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for cloud services

  
  


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  Interact with operations and support teams to identify questions and issues for data analysis and experiments.

  
  


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  Code software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.

  
  


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  Identify & interpret meaningful insights from large data and metadata sources;

  
  


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  Derive data stories and communicate findings from analysis and experiments to product, service, and business/ops/support management.

  
  

Mandatory Qualifications:

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  Master's degree or Ph.D in Science, Technology, Engineering or Mathematics fields

  
  


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  Strong business acumen skills. Good at strategic and critical thinking. Demonstrated experience/history of support executives/directors and growth from an analytics domain

  
  


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  Demonstrated experience in implementing high performing ML algorithms in production systems in a cloud environment

  
  


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  Comfortable working with terabyte-level data sets.

  
  


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  Expertise on a broad set of ML approaches and techniques such as statistical learning, deep learning, federated learning, semi-supervised learning, graph neural network, large NLP models, reinforcement learning, optimization techniques, and large model training and low latency model inference techniques

  
  


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  Proficient in Python, R, Java, PySpark, (Jupyter) Notebook, SQL, Bitbucket/Git, Jira, Unix

  
  


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  Ability to synthesize complex elements into crisp and robust stories for audiences of variable technical levels

  
  


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  Experience in working with highly unstructured data and deriving insights using NLP techniques

  
  


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  High sense of ownership, self-motivation, and desire to delight customers.

  
  


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  Demonstrated ability to effectively collaborate and influence.

  
  


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  Able to independently operate in an ambiguous and fast paced environment

  
  


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  Foundational knowledge on cloud technologies and infrastructure

  
  

Preferred Qualifications:

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  8 years of experience with Masters / 4 years of experience with Ph.D in data scientist role or equivalent

  
  


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  3-5 years' Data Modeling experience

  
  


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  Experience in prescriptive and predictive analytics

  
  


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  Experience in NLP techniques like topic modeling, clustering, recommendation systems etc.

  
  


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  Working knowledge of data structures and scripting with Python / R

  
  


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  Demonstrated investment in using data analysis and metrics to continuously improve systems, software, and processes

  
  


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  Ability to gather data requirements and use data modeling to visualize patterns for analysis

  
  


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  Experience with cloud platforms and cloud architecture

  
  


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  Experience with operating systems in production, following the DevOps model

  
  

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated location(s)

California Pay Range: from $107,400 to $214,900 per annum. May be eligible for bonus and equity.

Colorado Pay Range: from $101,400 to $193,400 per annum. May be eligible for bonus and equity.

New York City Pay Range: from $101,400 to $204,200 per annum. May be eligible for bonus and equity.

Washington Pay Range: from $113,400 to $204,200 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, as well as reflect Oracle’s differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle offers a comprehensive benefits package which includes the following:

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   Medical, dental, and vision insurance, including expert medical opinion

   
   


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   Short term disability and long term disability

   
   


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   Life insurance and AD&D

   
   


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   Supplemental life insurance (Employee/Spouse/Child)

   
   


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   Health care and dependent care Flexible Spending Accounts

   
   


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   Pre-tax commuter and parking benefits

   
   


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   401(k) Savings and Investment Plan with company match

   
   


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   Flexible paid time off (unlimited or accrued vacation and sick leave)

   
   


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   Paid parental leave

   
   


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    Employee Stock Purchase Plan

    
    


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    Adoption assistance

    
    


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    Financial planning and group legal

    
    


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    Voluntary benefits including auto, homeowner and pet insurance

    
    

About Us

An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40 years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.

In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation.

Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business.

At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions.

That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before.

Oracle is an Equal Employment Opportunity Employer ***** . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

*** Which includes being a United States Affirmative Action Employer**

Salary : $107,400 - $214,900