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Flex Phd Statistics Jobs (NOW HIRING)

Lam Research Corporation

Process Engineer 4

Fremont, CA · On-site

$104K - $231K/yr

Apply Statistical Process Control (SPC) and Design of Experiments (DOE) methodologies to monitor ... PhD preferred. * Minimum 5 years of experience in metrology or materials characterization ...

Lam Research Corporation

Process Engineer 3

Fremont, CA · On-site

$86K - $192K/yr

In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE ... Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the ...

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Flex Phd Statistics information

What is the difference between Flex Phd Statistics vs Data Analyst?

AspectFlex Phd StatisticsData Analyst
Required credentialsPhD in Statistics or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work environmentResearch-focused, academic, or industry R&DBusiness, finance, marketing, or operations teams
Employer and industry usageUniversities, research institutions, tech companiesCorporations, consulting firms, government agencies

The main difference between Flex Phd Statistics and Data Analyst roles lies in the level of education and focus. Flex Phd Statistics positions typically require a PhD and involve advanced research and modeling, while Data Analysts usually hold a bachelor's or master's degree and focus on data processing and reporting. Both roles are essential in data-driven industries but serve different functions based on expertise and project scope.

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Flex Phd Statistics jobs near you
Infographic showing various Flex Phd Statistics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, and 6% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Senior Manager, Data Science - AI Foundations, Specialist Models

Jobtailor

California, MO • On-site

$120 - $180/hr

Other

Posted 10 days ago

Job description

Responsibilities
  • Partner with a cross‑functional team of data scientists, software engineers, and product managers to build a next-generation entity resolution solution that leverages cutting‑edge machine learning approaches to solve real‑world business problems
  • Leverage a broad stack of technologies – Python, AWS, Spark, modern state of the art models like transformers, graph ML, and more – to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Leverage Agentic AI tools and workflows to build and test
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Qualifications
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
  • At least 2 years of experience leveraging open source programming languages for large scale data analysis
  • At least 2 years of experience working with machine learning
  • At least 2 years of experience utilizing relational databases
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