Senior Data Scientist

Oracle

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Nashville, TN
Salary
$100,700–$209,500 / yr
Posted
42 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $159k
This role $155k
$87k most similar roles pay here $229k

This role pays less than 60% of similar roles. Most pay $126,800–$191,250 — the shaded band above. At the midpoint, this role pays about $155k versus about $159k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 781 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 713 roles with salary data.

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View all roles at Oracle

At a glance

TL;DR · Senior Data Scientist

The Senior Data Scientist joins the Oracle Cloud Infrastructure Data Science and Analytics team to tackle complex technical challenges within the Infrastructure Build processes. This role involves performing statistical analyses, developing forecasting models, and leading business intelligence initiatives for infrastructure and networking. The candidate will build sophisticated analytical solutions, manage large-scale data pipelines, and deploy large language models for infrastructure-build and data-center-materials use cases. Key responsibilities include designing scalable algorithms, establishing data-quality standards, and mentoring junior team members. To succeed, the candidate must be proficient in SQL and Python or R for data extraction and modeling. The role requires expertise in probability, experimental design, and machine learning to solve problems related to infrastructure expansion and optimization within a complex environment involving multiple departments and technical requirements.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Perform exploratory research and statistical analysis to translate complex data into actionable business insights.
  • Design, fine-tune, and optimize scalable machine learning models for high-volume production environments.
  • Develop and evaluate LLM-based solutions for infrastructure-build and data-center-materials use cases.
  • Establish and maintain data quality standards including validation, monitoring, and lineage.
  • Mentor junior data scientists on statistical rigor, modeling best practices, and communication of findings.
  • Identify and implement emerging machine learning techniques to improve business processes and product capabilities.

What we're looking for

  • Bachelor's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Economics, or a related quantitative field.
  • 3 to 5+ years of experience in data science and analytics.
  • Proficiency in SQL and Python or R for data extraction, transformation, analysis, and visualization.
  • Strong foundation in probability, statistical inference, experimental design, hypothesis testing, regression, and predictive modeling.
  • Experience developing, validating, and deploying machine-learning models in high-volume production environments.
  • Experience evaluating and adapting LLM or generative-AI solutions for business use cases including prompt design and benchmarking.
  • Experience with data warehousing and managing structured and semi-structured data at scale.
  • Ability to communicate complex analytical findings clearly to both technical and non-technical stakeholders.

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