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 ...
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, 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 ...
... 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 ...
Qualifications Holding or working toward a PhD in Statistics, Economics, Finance or other related quantitative fields Proficiency in statistical and econometric modeling, such as survival analysis ...
Qualifications Holding or working toward a PhD in Statistics, Economics, Finance or other related quantitative fields Proficiency in statistical and econometric modeling, such as survival analysis ...
Quantitative Researcher Intern
Dallas, TX · On-site
Qualifications • Holding or working toward a PhD in Statistics, Economics, Finance or other related quantitative fields • Proficiency in statistical and econometric modeling, such as survival ...
Quantitative Researcher Intern
Dallas, TX · On-site
Qualifications • Holding or working toward a PhD in Statistics, Economics, Finance or other related quantitative fields • Proficiency in statistical and econometric modeling, such as survival ...
... 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 ...
... 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 ...
Master's degree or PhD in Biostatistics, Statistics, Epidemiology (quantitative focus), Mathematics, or related quantitative discipline. * EIGHT (8) or more years of professional experience applying ...
Master's degree or PhD in Biostatistics, Statistics, Epidemiology (quantitative focus), Mathematics, or related quantitative discipline. * EIGHT (8) or more years of professional experience applying ...
Biostatistician Lead
San Antonio, TX · On-site
Master's degree or PhD in Biostatistics, Statistics, Epidemiology (quantitative focus), Mathematics, or related quantitative discipline. * EIGHT (8) or more years of professional experience applying ...
Biostatistician Lead
San Antonio, TX · On-site
Master's degree or PhD in Biostatistics, Statistics, Epidemiology (quantitative focus), Mathematics, or related quantitative discipline. * EIGHT (8) or more years of professional experience applying ...
Master's degree or PhD in Biostatistics, Statistics, Epidemiology (quantitative focus), Mathematics, or related quantitative discipline. * EIGHT (8) or more years of professional experience applying ...
Master's degree or PhD in Biostatistics, Statistics, Epidemiology (quantitative focus), Mathematics, or related quantitative discipline. * EIGHT (8) or more years of professional experience applying ...
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) * Must be continuing in the same course of study ...
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) * Must be continuing in the same course of study ...
Preferred Qualifications PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Experience applying LLMs to solve technical problems such ...
Preferred Qualifications PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Experience applying LLMs to solve technical problems such ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
ELIGIBILITY REQUIREMENTS Applicants must have a recent PhD in biostatistics or statistics from a reputed University/Institute or within 0-1 years of graduation. At least one first author publication ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
ELIGIBILITY REQUIREMENTS Applicants must have a recent PhD in biostatistics or statistics from a reputed University/Institute or within 0-1 years of graduation. At least one first author publication ...
Postdoctoral Fellow - Biostatistics
Houston, TX · On-site
$64K - $76K/yr
ELIGIBILITY REQUIREMENTS Applicants must have a recent PhD in biostatistics or statistics from a reputed University/Institute or within 0-1 years of graduation. At least one first author publication ...
Postdoctoral Fellow - Biostatistics
Houston, TX · On-site
$64K - $76K/yr
ELIGIBILITY REQUIREMENTS Applicants must have a recent PhD in biostatistics or statistics from a reputed University/Institute or within 0-1 years of graduation. At least one first author publication ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
ELIGIBILITY REQUIREMENTS Applicants must have a recent PhD in biostatistics or statistics from a reputed University/Institute or within 0-1 years of graduation. At least one first author publication ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
ELIGIBILITY REQUIREMENTS Applicants must have a recent PhD in biostatistics or statistics from a reputed University/Institute or within 0-1 years of graduation. At least one first author publication ...
Postdoctoral Fellow - Biostatistics
Houston, TX · On-site
$64K - $76K/yr
ELIGIBILITY REQUIREMENTS Applicants must have a recent PhD in biostatistics or statistics from a reputed University/Institute or within 0-1 years of graduation. At least one first author publication ...
Postdoctoral Fellow - Biostatistics
Houston, TX · On-site
$64K - $76K/yr
ELIGIBILITY REQUIREMENTS Applicants must have a recent PhD in biostatistics or statistics from a reputed University/Institute or within 0-1 years of graduation. At least one first author publication ...
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.
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, quantitative analysts, research scientists, or statisticians, 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.
Is a PhD in statistics worth it?
A PhD in statistics can lead to advanced roles in research, data science, and academia, 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 are popular job titles related to Phd In Statistics jobs in Texas?
For Phd In Statistics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Phd In Statistics jobs in Texas look for?
The top searched job categories for Phd In Statistics jobs in Texas are:
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.