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Statistical Learning Jobs (NOW HIRING)

Strivector Corp

Machine Learning

Manhattan, NY · On-site

Required : • Development experience in Python or R (C, C++, Java, etc is a plus) • Machine Learning experience • Deep understanding of statistical learning methods • Strong communications and ...

ClifyX

Machine Learning Engineer

Dayton, OH · On-site

Responsibilities : • Design advanced ML models across NLP, optimization, predictive modeling, and statistical learning. • Own end to end MLOps pipelines data ingestion, training, deployment ...

STR

Senior Machine Learning Engineer

Arlington, VA · On-site

$155K - $195K/yr

Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured ...

Point72

Quantitative Research Intern

New York, NY · On-site

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading. JOB ...

QuinStreet

Algorithms Engineer

Foster City, CA · On-site

$129K - $149K/yr

Apply statistical and Machine Learning tools to improve our ability to identify, analyze, and interpret trends or anomalies and alerts. Produce well engineered software components to implement ...

STR

Senior Machine Learning Engineer

Arlington, VA · On-site

$155K - $195K/yr

Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured ...

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Statistical Learning information

What are the key skills and qualifications needed to thrive as a statistical learning specialist?

To thrive as a Statistical Learning Specialist, you need a strong background in statistics, probability, and machine learning, typically supported by an advanced degree in statistics, mathematics, computer science, or a related field. Expertise with programming languages such as Python or R, experience with statistical software (e.g., SAS, MATLAB), and familiarity with data analysis libraries are essential. Critical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful patterns from data and driving data-informed decision-making.

How do professionals in statistical learning typically collaborate with data scientists and domain experts on projects?

Professionals in statistical learning often work closely with data scientists and domain experts to ensure that the models they develop are both statistically sound and practically relevant. Collaboration usually involves joint problem definition, sharing data insights, and iterative feedback on model performance. Statistical learning experts contribute their knowledge of algorithms and statistical methods, while data scientists handle data pre-processing and engineering, and domain experts provide context to interpret results. This multidisciplinary teamwork helps ensure that solutions are robust and actionable for stakeholders.

What is the difference between Statistical Learning vs Data Analyst?

AspectStatistical LearningData Analyst
Required CredentialsDegree in Statistics, Data Science, or related fieldsDegree in Statistics, Data Science, Business, or related fields
Work EnvironmentResearch, academia, tech companies, data science teamsBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageTech firms, research institutions, startupsCorporations, consulting firms, government agencies
Common Search & ComparisonStatistical Learning vs Data Analyst

Statistical Learning focuses on developing models and algorithms to understand data patterns, often requiring advanced statistical and programming skills. Data Analysts interpret data to generate reports and insights, typically emphasizing data visualization and business understanding. While both roles analyze data, Statistical Learning is more research-oriented and technical, whereas Data Analysts focus on practical data interpretation for decision-making.

What will I become if I study statistical learning?

Studying statistical learning can lead to roles such as data scientist, data analyst, machine learning engineer, or statistician. These positions involve analyzing data, building predictive models, and applying statistical methods using tools like R or Python in various industries.
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Statistical Learning jobs near you
Infographic showing various Statistical Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Researcher

Morgan Stanley

Manhattan, NY • On-site

Full-time

Re-posted 16 days ago

Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

33rd of 151 rated financial services

Job description

Job Summary:
Morgan Stanley's Machine Learning Research Department is dedicated to solving mission-critical problems across various business units and technology teams. They are seeking a candidate who can tackle research problems with commercial applications, leveraging their academic expertise in real-world financial issues.
Responsibilities:
• Development experience in Python or R (C, C++, Java, etc is a plus)
• Deep understanding of statistical learning methods
• Strong communications and organizational skills
• 4+ years of applicable research experience
Qualifications:
Required:
• Development experience in Python or R (C, C++, Java, etc is a plus)
• Deep understanding of statistical learning methods
• Strong communications and organizational skills
• 4+ years of applicable research experience
• Bachelor's degree required, Ph.D. desired
Preferred:
• Track record of exceptionally creative, hands-on, high-impact machine learning research and applications, evidenced by publications in competitive venues
• Broad experience across multiple fields
Company:
Morgan Stanley is a financial services institution that delivers capital management, investment banking, and advisory solutions. Founded in 1935, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Morgan Stanley employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Morgan Stanley logo

About Morgan Stanley

Sourced by ZipRecruiter

Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people's talent, passion, and expertise is the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness is a critical component for our success and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.

Industry

Finance and insurance and software development

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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