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Online Phd Statistics Jobs (NOW HIRING)

Virtu Financial

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

Apply your observation skills and modern statistical methods to identify and build predictive ... an online programming test via email from a service called HackerRank as a first step of the ...

Virtu Financial

$175K - $200K/yr

Apply your observation skills and modern statistical methods to identify and build predictive ... an online programming test via email from a service called HackerRank as a first step of the ...

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Online Phd Statistics information

What is an online PhD in statistics?

An online PhD in Statistics is a doctoral program that allows students to pursue advanced studies and research in statistical theory, methods, and applications through online coursework and remote collaboration. These programs are designed for flexibility, enabling working professionals or those with other commitments to earn their degree without relocating. Students typically engage in rigorous coursework, comprehensive exams, and original research culminating in a dissertation. Online PhD programs in Statistics may include synchronous or asynchronous classes, and students often interact with faculty and peers through digital platforms. Graduates are prepared for careers in academia, research, data science, and advanced analytics roles.

What are some common challenges faced by students pursuing an online PhD in statistics, and how can they be managed?

Students in an online PhD Statistics program often encounter challenges such as balancing independent research with coursework, managing time effectively without a traditional classroom structure, and maintaining regular communication with advisors and peers. To address these, it’s helpful to establish a structured schedule, actively participate in virtual seminars, and utilize online collaboration tools for group projects. Seeking regular feedback from faculty and engaging in online academic communities can also support progress and reduce feelings of isolation.

What are the key skills and qualifications needed to thrive as an online PhD statistics student, and why are they important?

To thrive as an Online PhD Statistics student, you need advanced knowledge in statistical theory, data analysis, and mathematical modeling, typically supported by a relevant master's degree. Familiarity with statistical software such as R, SAS, SPSS, or Python, as well as proficiency in research methodologies, is essential. Strong self-motivation, time management, and communication skills help set successful students apart in a remote learning environment. These competencies enable you to conduct rigorous research, contribute original knowledge, and effectively collaborate with academic peers and mentors.

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

AspectOnline Phd StatisticsData Analyst
Required CredentialsDoctorate degree in Statistics or related fieldBachelor's or Master's degree in Statistics, Data Science, or related field
Work EnvironmentAcademic, research institutions, or specialized industry rolesBusiness, finance, healthcare, or tech companies
Industry UsageResearch, academia, advanced analyticsData interpretation, reporting, and visualization

Online Phd Statistics focuses on advanced research and academic roles requiring a doctorate, while Data Analysts typically hold bachelor's or master's degrees and work in industry settings analyzing data for business insights. Both roles involve data handling but differ in complexity, scope, and work environment.

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Online Phd Statistics jobs near you
Infographic showing various Online Phd Statistics job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 63% Full Time, 33% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution.

Applied Science: PhD Microsoft AI Internship Opportunities

Microsoft

Redmond, WA • On-site

$8.9K - $14K/mo

Full-time, Internship

Re-posted 22 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

80th of 247 rated software companies

Job description

Overview
Bring your passion for innovation and research to a team at the forefront of artificial intelligence and machine learning. If you're eager to make significant contributions across user engagement, intelligent experiences, and real product scenarios, this opportunity within Microsoft AI Content, Commerce, & Monetization (CCM), Search Fundamentals, Search Experiences, or Search Places will excite you.
As an Applied Scientist PhD Intern, you will apply your expertise in areas such as supervised and unsupervised learning, deep learning (especially transformers and sequence modeling), reinforcement learning for optimizing user outcomes, and advanced data science techniques. You'll translate complex business challenges-spanning search, personalization, natural language processing, computer vision, and recommendation systems-into practical, impactful solutions using Azure and other cloud-based technologies. Your experience with statistical analysis, hypothesis testing, large datasets, and deploying robust data pipelines will be valued as you drive research into production.
This role allows you to shape the future of Copilot and intelligent content, influencing Microsoft's direction as you directly support our overarching mission and vision.
At Microsoft, our mission to empower every person and every organization on the planet to achieve more guides how we partner with customers to deliver trusted, impactful solutions. With a growth-mindset culture, we innovate responsibly and measure success by shared progress, people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what's next for everyone.
Responsibilities
  • Analyze and improve advanced machine learning algorithms and systems at scale, optimizing performance across large, complex datasets.
  • Translate product scenarios and user needs into applied ML problems; design and execute experiments to validate, iterate, and optimize solutions.
  • Develop and scale models for search, ranking, recommendations, retrieval, and language understanding using modern AI techniques (e.g., deep learning, reinforcement learning, probabilistic methods).
  • Prepare, clean, and curate high-quality datasets-identifying data quality issues, defining inclusion criteria, and enabling robust feature development.
  • Build and enhance data and ML pipelines (data collection, preparation, modeling), applying statistical methods to validate assumptions and evaluate model performance.
  • Collaborate cross-functionally with scientists, engineers, and product stakeholders to iterate on ideas and deliver real-world, product-integrated solutions.
  • Communicate technical insights and experimental results clearly, while continuously incorporating emerging research, tools, and industry trends to improve solution quality and efficiency.

Qualifications
Required Qualifications
  • Currently pursuing a Doctorate Degree in Statistics, Econometrics, Computer Science, Artificial Intelligence, Electrical or Computer Engineering, or related field.
  • Must have at least one additional quarter/semester of school remaining following the completion of the internship.
  • Candidate must be enrolled in a full time PhD program in area relevant for the role during the academic term immediately before their internship.

Preferred Qualifications
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
    • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
    • Equivalent experience.
  • Explore product challenges using state of the art solutions.
  • Research publications, coursework, or project experience relevant to search, language models, recommender systems, geospatial or location intelligence, or content and commerce systems.
  • Experience running controlled experiments and interpreting offline and online evaluation metrics.
  • Familiarity with large-scale distributed systems or productionizing applied science solutions.
  • Passion for building AI experiences that improve relevance, discovery, personalization, and end-user satisfaction.

The base pay range for this internship is USD $6,810.00 - $13,480.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,920.00 - $14,610.00 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-intern-pay
Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar
(September - April)
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

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