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Data Science In Oil Gas Jobs in Arizona (NOW HIRING)

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... In this role, you will review, evaluate, and refine AI-generated technical and analytical content ...

New

Wells Fargo

Lead Data Science Consultant

Phoenix, AZ · Hybrid

  • Medical

  • Life

  • Retirement

  • PTO

In this role, you will: o Lead complex initiatives by utilizing data-driven, advanced analytical ... science best practices, methods, and tools to leverage o Communicate actionable insights and ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector ...

State Farm

Data Scientist

Tempe, AZ · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

Our data science teams also embrace staying current with the evolving data science landscape. **Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector ...

Doist

Data Scientist

Chandler, AZ · On-site

$140 - $190/hr

Experience Required 5+ years of experience in Data Science, Machine Learning, or AI‑related roles. #J-18808-Ljbffr

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Data Science In Oil Gas information

What is the difference between Data Science In Oil Gas vs Petroleum Engineer?

AspectData Science In Oil GasPetroleum Engineer
Required CredentialsDegree in Data Science, Computer Science, or related fields; proficiency in programming and analytics toolsDegree in Petroleum Engineering or related engineering fields; engineering licenses may be required
Work EnvironmentOffice settings, data centers, or remote; focus on data analysis and modelingFieldwork and office; focus on drilling, reservoir management, and production
Industry UsageAnalyzing exploration data, optimizing production, predictive maintenanceDesigning drilling operations, reservoir evaluation, and production strategies

While both roles operate within the oil and gas industry, Data Science In Oil Gas primarily focuses on data analysis, modeling, and predictive analytics to optimize operations. Petroleum Engineers are more involved in designing and implementing physical extraction processes. Both roles require industry-specific knowledge but differ significantly in their daily tasks and skill sets.

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Senior Director, Data Science & Personalization

Sprouts Farmers Market

Phoenix, AZ • On-site

Full-time

Re-posted 24 days ago

Sprouts Farmers Market rating

6.8

Company rating: 6.8 out of 10

Based on 820 frontline employees who took The Breakroom Quiz

28th of 122 rated grocery stores

Job description

Job Summary:
Sprouts Farmers Market is seeking a Senior Director of Data Science & Personalization to lead their data science and analytics efforts. This role involves setting the vision for advanced analytics, driving business outcomes through data-driven strategies, and overseeing the development of machine learning models to enhance customer experiences.
Responsibilities:
• Refine and own the enterprise data science and personalization vision, strategy, and roadmap in partnership with VP and Chief Customer Officer.
• Identify and prioritize the highest-value opportunities to apply machine learning, predictive analytics, and experimentation to drive customer engagement and revenue growth.
• Balance near-term business impact with long-term capability building and scalability.
• Serve as a senior thought leader on how data science can accelerate customer and enterprise value.
• Provide oversight and direction on machine learning models and analytical solutions development.
• Ensure models and solutions are robust, measurable, and continuously improved.
• Partner with IT leadership and Data Engineering to ensure scalable architecture, tools, and platforms support advanced analytics and personalization efforts.
• Guide the organization’s agile pod model for testing personalization ideas.
• Ensure fast, rigorous tests tied to clear business outcomes and rooted in customer insights and analytics.
• Leverage standardized and automated measurement to identify winning tests with stats sig confidence.
• Govern experiment flow so learnings become always‑on capabilities.
• Lead and develop Data Science, Analytics and Insights teams.
• Establish clear expectations for leadership effectiveness, technical excellence, and business impact.
• Build succession plans and a strong talent pipeline to support current and future growth.
• Foster a culture of accountability, curiosity, and continuous improvement.
• Act as a senior strategic partner to leaders across the organization.
• Translate complex analytical concepts into clear, compelling business narratives.
• Ensure tight alignment within group between Data Science, Analytics and, Insights, as well as collaboration with marketing, merchandising, Finance and IT.
• Establish organizational standards for model governance, documentation, monitoring, and ethical data usage.
• Ensure data science efforts comply with privacy, security, and regulatory requirements.
• Oversee vendor relationships and selectively engage partners where acceleration is needed.
Qualifications:
Required:
• 12+ years of experience in data science, analytics, or related quantitative disciplines.
• 7+ years of experience leading and developing leaders and managers.
• Proven success deploying machine learning and advanced analytics solutions at scale.
• Strong background in statistics, experimentation, predictive modeling, and applied analytics.
• Demonstrated ability to influence executive stakeholders and drive enterprise-level change.
• Exceptional communication and leadership skills.
Preferred:
• Experience in retail, grocery, eCommerce, or consumer‑focused industries.
• Deep experience with personalization, recommendation systems, or decisioning platforms.
• Familiarity with modern cloud-based data and machine learning ecosystems.
• Advanced degree in Data Science, Computer Science, Statistics, or a related field.
Company:
Sprouts is the place where goodness grows. Founded in 2002, the company is headquartered in Phoenix, USA, with a team of 10001+ employees. The company is currently Late Stage.

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