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Data Scientist

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Oracle

2d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Research & Development

AI generated summary

  • You need a Bachelor’s/Master’s in a relevant field, 4-8 years of experience, strong Python skills, knowledge of ML/statistics, and the ability to communicate technical concepts clearly.
  • You will analyze large datasets, build machine learning models, collaborate with teams, explore data for insights, and stay updated on data science techniques to drive effective solutions.

Requirements

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related fields.
  • 4-8 years of experience in data science projects.
  • Strong Python programming skills and experience with libraries like NumPy, pandas, scikit-learn, TensorFlow, and/or PyTorch.
  • Good understanding of machine learning, statistics, and deep learning.
  • Strong problem-solving skills and ability to explain technical concepts to non-technical customers.

Responsibilities

  • Analyze large datasets to find insights and support decision-making.
  • Build and deploy machine learning models to solve business problems.
  • Work with different teams to find opportunities for using data effectively.
  • Explore data to find trends, patterns, and anomalies.
  • Stay updated with the latest data science techniques and apply them to solve problems.

FAQs

What is the required experience for the Data Scientist position?

The position requires 4-8 years of experience in data science projects.

What educational background is preferred for this role?

A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related fields is preferred.

Which programming language is essential for this position?

Strong Python programming skills are essential for this role.

What libraries should a candidate be familiar with?

Candidates should have experience with libraries like NumPy, pandas, scikit-learn, TensorFlow, and/or PyTorch.

What are some key responsibilities of a Data Scientist at Oracle?

Key responsibilities include analyzing large datasets, building and deploying machine learning models, exploring data for trends, and collaborating with different teams to find opportunities for effective data usage.

How does Oracle ensure an inclusive work environment?

Oracle is committed to an inclusive culture that celebrates and values diverse insights and perspectives, ensuring that all voices are heard and valued.

What types of benefits does Oracle offer to its employees?

Oracle offers a competitive suite of employee benefits including medical, life insurance, retirement planning, and opportunities for community engagement through volunteer programs.

Are there accommodations for individuals with disabilities during the job application process?

Yes, Oracle is committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview process, and in potential roles.

What is the career level for this Data Scientist position?

This position is classified as Career Level - IC3.

How does Oracle stay up to date with the latest data science techniques?

Employees are encouraged to stay updated with the latest data science techniques and apply them to solve problems.

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Oracle

Information Technology & Services

Technology
Industry
10,001+
Employees
1977
Founded Year

Mission & Purpose

We’re a cloud technology company that provides organizations around the world with computing infrastructure and software to help them innovate, unlock efficiencies and become more effective. We also created the world’s first – and only – autonomous database to help organize and secure our customers’ data. Oracle Cloud Infrastructure offers higher performance, security, and cost savings. It is designed so businesses can move workloads easily from on-premises systems to the cloud, and between cloud and on-premises and other clouds. Oracle Cloud applications provide business leaders with modern applications that help them innovate, attain sustainable growth, and become more resilient. The work we do is not only transforming the world of business--it's helping defend governments, and advance scientific and medical research. From nonprofits to companies of all sizes, millions of people use our tools to streamline supply chains, make HR more human, quickly pivot to a new financial plan, and connect data and people around the world. At work, we embrace diversity, encourage personal and professional growth, and celebrate a global team of passionate people developing innovative technologies that help people and companies tackle real-world problems head-on.