Oracle

Lead Applied Data Scientist

Oracle

Austin, TX, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Are you a highly skilled data scientist with a passion for leading and developing a team? Do you thrive in a fast-paced environment and have a strong understanding of applied data science techniques? Oracle is seeking a Lead Applied Data Scientist to join our team and drive data-driven solutions for our clients. In this role, you will have the opportunity to use your expertise to lead a team of data scientists and collaborate with cross-functional teams to solve complex business problems. We are looking for someone with strong technical skills, leadership abilities, and a drive to constantly innovate and improve. Join us in our mission to unlock the power of data and make a meaningful impact on businesses around the world.

  1. Lead and manage a team of data scientists, providing guidance, mentorship, and support in their professional development.
  2. Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders, to identify and solve complex business problems using data-driven solutions.
  3. Utilize your strong understanding of applied data science techniques to develop innovative solutions that drive business growth and success.
  4. Stay up-to-date with the latest advancements and trends in data science and apply them to enhance our data-driven solutions.
  5. Take ownership of project timelines, deliverables, and outcomes, ensuring high-quality and timely delivery.
  6. Conduct thorough research and analysis to identify opportunities for improvement and optimization within existing data processes and models.
  7. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.
  8. Foster a culture of continuous learning and improvement within the team, encouraging experimentation and innovation.
  9. Collaborate with HR to recruit and onboard top data science talent, and assist in the hiring process.
  10. Develop and maintain relationships with clients, understanding their needs and providing them with data-driven solutions that meet their business goals.
  11. Collaborate with other data scientists within the company to share knowledge, best practices, and resources.
  12. Ensure adherence to data privacy and security policies and procedures in all data-driven solutions.
  13. Act as a subject matter expert and representative of the company in conferences, events, and other public forums.
  14. Continuously evaluate and improve processes, tools, and technologies used in data science projects.
  15. Represent the company's values of innovation, collaboration, and excellence in all aspects of the job.
Where is this job?
This job is located at Austin, TX, USA
Job Qualifications
  • Advanced Degree In A Relevant Field: A Lead Applied Data Scientist At Oracle Should Have An Advanced Degree In A Relevant Field Such As Computer Science, Statistics, Data Science, Or A Related Field. This Demonstrates A Strong Understanding Of The Technical Concepts And Tools Required For The Role.

  • Extensive Experience With Data Science Tools: Candidates Should Have A Minimum Of 5 Years Of Experience Working With Data Science Tools Such As Python, R, Sql, And Machine Learning Libraries. This Experience Should Include Using These Tools To Develop And Deploy Complex Data-Driven Solutions.

  • Strong Analytical Skills: A Lead Applied Data Scientist Should Have Excellent Analytical Skills And Be Able To Interpret Complex Data Sets To Identify Patterns, Trends, And Insights. They Should Also Be Able To Communicate These Findings Effectively To Both Technical And Non-Technical Stakeholders.

  • Leadership Experience: As A Lead Role, Candidates Should Have Experience Leading And Mentoring Teams Of Data Scientists. They Should Have The Ability To Provide Guidance And Support To Junior Team Members, As Well As Collaborate With Cross-Functional Teams To Deliver Successful Projects.

  • Business Acumen: A Lead Applied Data Scientist Should Have A Strong Understanding Of Business Processes And Objectives. They Should Be Able To Identify Opportunities For Leveraging Data To Drive Business Decisions And Provide Strategic Insights To Help Achieve Company Goals. This Requires A Combination Of Technical Expertise And Business Acumen.

Required Skills
  • Data Analysis

  • Big Data

  • Machine Learning

  • Deep Learning

  • Data Visualization

  • Cloud Computing

  • Artificial Intelligence

  • Natural language processing

  • Statistical modeling

  • Predictive analytics

  • Advanced analytics

Soft Skills
  • Communication

  • Emotional Intelligence

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Lead Applied Data Scientist in Austin, TX, USA is $120,000-$150,000 per year. This may vary depending on factors such as the company, location, experience, and education level.

Additional Information
Oracle is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedAugust 2nd, 2024
Apply BeforeOctober 17th, 2025
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About Oracle

Oracle Corporation is an American multinational computer technology corporation headquartered in Redwood Shores, California. The company sells database software and technology, cloud engineered systems, and enterprise software products—particularly its own brands of database management systems.

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