Preferred : • Formal training in statistics (for example, MS or PhD in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field with rigorous statistical coursework ...
Preferred : • Formal training in statistics (for example, MS or PhD in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field with rigorous statistical coursework ...
Formal training in statistics (for example, MS or PhD in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field with rigorous statistical coursework). * Familiarity with ...
Formal training in statistics (for example, MS or PhD in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field with rigorous statistical coursework). * Familiarity with ...
PhD in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field, with outstanding academic achievements * Expected to graduate by mid-2027 and available to start full-time ...
PhD in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field, with outstanding academic achievements * Expected to graduate by mid-2027 and available to start full-time ...
PhD in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field, with outstanding academic achievements * Expected to graduate by mid-2027 and available to start full-time ...
PhD in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field, with outstanding academic achievements * Expected to graduate by mid-2027 and available to start full-time ...
Quantitative Researcher, PhD
Austin, TX · On-site
PhD in Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, or a related quantitative discipline. * Outstanding mathematical and statistical skills. * Strong programming ...
Quantitative Researcher, PhD
Austin, TX · On-site
PhD in Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, or a related quantitative discipline. * Outstanding mathematical and statistical skills. * Strong programming ...
... PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Experience applying LLMs to solve technical problems such as data analysis, data ...
... PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Experience applying LLMs to solve technical problems such as data analysis, data ...
Formal training in statistics (for example, MS or PhD in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field with rigorous statistical coursework). * Familiarity with ...
Formal training in statistics (for example, MS or PhD in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field with rigorous statistical coursework). * Familiarity with ...
Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research * Strong foundation in machine learning ...
Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research * Strong foundation in machine learning ...
Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research * Strong foundation in machine learning ...
Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research * Strong foundation in machine learning ...
Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research * Strong foundation in machine learning ...
Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research * Strong foundation in machine learning ...
... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...
... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...
Senior Data Scientist, Apple Ads
$150K - $277K/yr
... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...
Senior Data Scientist, Apple Ads
$150K - $277K/yr
... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...
Senior Data Scientist, Apple Ads
Austin, TX · On-site
$150K - $277K/yr
... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...
Senior Data Scientist, Apple Ads
Austin, TX · On-site
$150K - $277K/yr
... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...
Senior Data Scientist, Apple Ads
Austin, TX · On-site
$150K - $277K/yr
... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...
Senior Data Scientist, Apple Ads
Austin, TX · On-site
$150K - $277K/yr
... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...
Hardware Reliability Engineer
Austin, TX · On-site
$101K - $127K/yr
Experience in statistics and data analysis using one or more software/tools (e.g., MATLAB, Python, JMP, or Minitab). Preferred qualifications * Master's degree or PhD in Hardware Engineering.
Hardware Reliability Engineer
Austin, TX · On-site
$101K - $127K/yr
Experience in statistics and data analysis using one or more software/tools (e.g., MATLAB, Python, JMP, or Minitab). Preferred qualifications * Master's degree or PhD in Hardware Engineering.
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent * Experience applying LLMs to solve technical problems such as data analysis, data ...
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent * Experience applying LLMs to solve technical problems such as data analysis, data ...
Who You Are: * Currently enrolled in a PhD program in Statistics, Computer Science, Machine ... Learning, Mathematics, or a related STEM field with outstanding academic performance * Expected ...
Who You Are: * Currently enrolled in a PhD program in Statistics, Computer Science, Machine ... Learning, Mathematics, or a related STEM field with outstanding academic performance * Expected ...
Who You Are: * Currently enrolled in a PhD program in Statistics, Computer Science, Machine ... Learning, Mathematics, or a related STEM field with outstanding academic performance * Expected ...
Who You Are: * Currently enrolled in a PhD program in Statistics, Computer Science, Machine ... Learning, Mathematics, or a related STEM field with outstanding academic performance * Expected ...
Who You Are: * Currently enrolled in a PhD program in Statistics, Computer Science, Machine ... Learning, Mathematics, or a related STEM field with outstanding academic performance * Expected ...
Who You Are: * Currently enrolled in a PhD program in Statistics, Computer Science, Machine ... Learning, Mathematics, or a related STEM field with outstanding academic performance * Expected ...
Applied Scientist
Austin, TX · On-site
Minimum Qualifications Master's degree in Statistics, Economics, Mathematics, Machine Learning ... PhD in related field Hands-on experience leveraging Generative AI to improve productivity and ...
Applied Scientist
Austin, TX · On-site
Minimum Qualifications Master's degree in Statistics, Economics, Mathematics, Machine Learning ... PhD in related field Hands-on experience leveraging Generative AI to improve productivity and ...
Phd In Statistics information
What is the difference between Phd In Statistics vs Data Scientist?
| Aspect | Phd In Statistics | Data Scientist |
|---|---|---|
| Required Credentials | Typically a PhD in Statistics or related field | Often a bachelor's or master's degree in a quantitative field; some roles prefer a PhD |
| Work Environment | Academic, research institutions, or specialized analytics teams | Corporate, tech companies, or consulting firms |
| Industry Usage | Research, academia, government, and industry R&D | Business analytics, product development, and data-driven decision making |
| Common Search & Comparison | Yes | Yes |
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.
Is a PhD in statistics worth it?
A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.
What can you do with a PhD in statistics?
A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.
What are popular job titles related to Phd In Statistics jobs in Austin, TX?
For Phd In Statistics jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Phd In Statistics jobs in Austin, TX look for?
The top searched job categories for Phd In Statistics jobs in Austin, TX are:
Lead Data Scientist, Autonomous Driving
Austin, TX • On-site
Avride
Full-time
Re-posted 4 days ago
Job description
Job Summary:
Avride is focused on advancing autonomous driving technology and is seeking a Lead Data Scientist to build and lead their analytics function. The role involves evaluating technology performance, leading a team of analysts, and producing actionable insights through experimentation and data analysis.
Responsibilities:
• Understand the technology deeply. Go deep into autonomous driving technology across behavior and hardware. Evaluate platform health and system behavior, and define the right metrics and metric hierarchy to quantify technology quality.
• Help build and lead the team. Contribute to team formation, take part in hiring and leveling up analysts, and set direction for an evaluation focus area while collaborating with technology leaders and with teams that build data infrastructure and analytics tools.
• Be hands-on with experiments. Design, run, and interpret experiments using solid statistical methods. Be ready to analyze results yourself and translate them into well-supported decisions.
• Build and automate analysis. Collaborate with data engineers and backend developers to assemble datasets and productionize analysis pipelines that automate recurring computations with attention to performance and reliability.
Qualifications:
Required:
• 4+ years in analytics for a large-scale or complex technology product.
• Strong background in statistical reasoning and methods for evaluating change and uncertainty.
• Strong Python and SQL; you can independently run experiments and ship analyses and pipelines end to end.
• Proven technical leadership, mentoring, and hiring experience in analytics.
Preferred:
• Formal training in statistics (for example, MS or PhD in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field with rigorous statistical coursework).
• Familiarity with the modern data stack and experience in data engineering.
• Background in autonomy or other technologically intensive domains.
Company:
Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Avride is focused on advancing autonomous driving technology and is seeking a Lead Data Scientist to build and lead their analytics function. The role involves evaluating technology performance, leading a team of analysts, and producing actionable insights through experimentation and data analysis.
Responsibilities:
• Understand the technology deeply. Go deep into autonomous driving technology across behavior and hardware. Evaluate platform health and system behavior, and define the right metrics and metric hierarchy to quantify technology quality.
• Help build and lead the team. Contribute to team formation, take part in hiring and leveling up analysts, and set direction for an evaluation focus area while collaborating with technology leaders and with teams that build data infrastructure and analytics tools.
• Be hands-on with experiments. Design, run, and interpret experiments using solid statistical methods. Be ready to analyze results yourself and translate them into well-supported decisions.
• Build and automate analysis. Collaborate with data engineers and backend developers to assemble datasets and productionize analysis pipelines that automate recurring computations with attention to performance and reliability.
Qualifications:
Required:
• 4+ years in analytics for a large-scale or complex technology product.
• Strong background in statistical reasoning and methods for evaluating change and uncertainty.
• Strong Python and SQL; you can independently run experiments and ship analyses and pipelines end to end.
• Proven technical leadership, mentoring, and hiring experience in analytics.
Preferred:
• Formal training in statistics (for example, MS or PhD in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field with rigorous statistical coursework).
• Familiarity with the modern data stack and experience in data engineering.
• Background in autonomy or other technologically intensive domains.
Company:
Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.