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Phd In Statistics Jobs in Arizona (NOW HIRING)

Sion Power Corporation

Senior Cell Design Engineer

Tucson, AZ · On-site

$89K - $123K/yr

Master's or PhD in Chemistry, Electrochemistry, Materials Science, Chemical Engineering, or a ... Working knowledge of statistical analysis and Design of Experiments (DOE); experience with Minitab ...

Sion Power Corporation

Senior Cell Design Engineer

Tucson, AZ · On-site

$89K - $123K/yr

Master's or PhD in Chemistry, Electrochemistry, Materials Science, Chemical Engineering, or a ... Working knowledge of statistical analysis and Design of Experiments (DOE); experience with Minitab ...

Intel

Module Development Engineer

Phoenix, AZ

PhD in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a semiconductor ... Expertise in statistical analysis and DOE methodologies, using tools such as JMP, Python, or MATLAB ...

INTEL

Module Development Engineer

Phoenix, AZ

$172K - $243K/yr

PhD in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a semiconductor ... Expertise in statistical analysis and DOE methodologies, using tools such as JMP, Python, or MATLAB ...

Intel

Mechanical Tooling Engineer

Phoenix, AZ

... a PhD in the same fields with 2+ years of experience. You experienced described above must be in ... Six Sigma / statistical methodologies (Basic Stat, DOE, reliability statistics) * Program ...

Intel

Foundry Strategic Industrial Engineer

Phoenix, AZ

$69K - $93K/yr

A PhD in an Engineering, Mathematics, or Statistics discipline and 1+ years of relevant experience. Relevant experiences should include: * Experience synthesizing abstract complex data into clear ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

What is the highest paying job with a statistics degree?

The highest paying jobs with a statistics degree often include roles such as data scientist, quantitative analyst, or actuarial scientist, with salaries exceeding $100,000 annually. Senior positions in finance, technology, or consulting firms tend to offer the highest compensation, especially for those with advanced skills in machine learning, programming, and statistical modeling.

How much can you make with a PhD in statistics?

A PhD in statistics can lead to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries typically ranging from $90,000 to over $150,000 annually depending on experience, industry, and location. Advanced skills in programming, statistical software, and data analysis increase earning potential in this field.

Is getting a PhD in statistics worth it?

A PhD in statistics prepares individuals for advanced research, academia, and data science roles that require deep analytical skills and expertise in statistical methods. It can lead to higher-level positions and increased earning potential but involves significant time and financial investment. The decision depends on career goals and the demand for specialized statistical knowledge in the desired industry.

What can I do with PhD in statistics?

A PhD in statistics qualifies individuals for advanced roles such as data scientist, quantitative analyst, biostatistician, or research scientist. These positions often involve data analysis, modeling, and interpretation using statistical software like R or SAS, and may require collaboration across industries such as healthcare, finance, or technology.
What are popular job titles related to Phd In Statistics jobs in Arizona? For Phd In Statistics jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Phd In Statistics jobs in Arizona look for? The top searched job categories for Phd In Statistics jobs in Arizona are:
Phd In Statistics jobs near you
Senior Cell Design Engineer

Senior Cell Design Engineer

Sion Power Corporation

Tucson, AZ • On-site

$89K - $123K/yr

Full-time

Posted 5 days ago

Job description

Sion Power Corporation, based in Tucson, AZ, is the leading developer of high-energy rechargeable lithium-metal battery technology, with more than 20 years of research and development. Years of research and development have yielded the Licerion® lithium metal technology, poised to dramatically change the lithium battery landscape by delivering the highest combination of energy density and specific energy.
Position Overview
This position will develop next-generation cells using advanced materials for automotive, defense, and consumer electronics applications as a key member of the Cell Engineering group. The successful applicant will develop, validate, and commercialize this innovative cell based on state-of-the-art commercial and proprietary materials. The responsibilities of this position cover cell design, analysis, material development, and support for product launch.
Responsibilities
  • Lead the planning and execution of lithium metal cell and electrode development with a strong focus on Design for Manufacturability (DFM) and scalability.
  • Select, characterize, qualify, and validate cell materials and components, including cathode, anode, electrolyte, separator, and current collectors.
  • Cell balancing with proprietary anode, matching cathode, and other key components for high performance cell
  • Design, develop, and optimize proprietary anode architectures to achieve high-performance cell metrics (energy density, cycle life, safety, and cost).
  • Define, plan, and execute statistically robust Design of Experiments (DOE) to support cell fabrication, process optimization, and electrochemical testing.
  • Analyze experimental and production data to identify performance trends and failure mechanisms; perform root-cause analysis and implement corrective actions using DFMEA and PFMEA methodologies.
  • Develop and maintain detailed technical documentation, including material specifications, design requirements, test protocols, and engineering reports.
  • Provide hands-on engineering support to cell manufacturing teams to resolve yield, quality, and process-related issues during pilot and production builds.
  • Partner with Supply Chain and suppliers to develop, validate, and control material specifications for new and existing materials, and to address supplier-related quality concerns.
  • Support engineering-level and pilot test builds in collaboration with quality, operations, and manufacturing teams to ensure successful design transfer and scale-up.

Education/Experience
  • Master's or PhD in Chemistry, Electrochemistry, Materials Science, Chemical Engineering, or a closely related field.
  • Minimum of 10 years of industrial experience in the design, development, and commercialization of lithium rechargeable cells.
  • Self-motivated and accountable engineer with a strong sense of ownership and demonstrated ability to drive continuous improvement initiatives.
  • Proven track record of successful design and development of lithium rechargeable cell components, assemblies, and formation processes.
  • Hands-on experience developing and managing technical specifications, component and assembly requirements, and quality tools including DFMEA and 8D problem-solving.
  • Demonstrated expertise in electrochemical characterization techniques, including cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), cycle life testing, and abuse testing.
  • Working knowledge of statistical analysis and Design of Experiments (DOE); experience with Minitab or similar statistical software preferred.

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