Machine Learning Researcher
Manhattan, NY · On-site
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 ...
Machine Learning Researcher
Manhattan, NY · On-site
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 ...
Deep understanding of statistical learning methods * Strong communications and organizational skills We understand that even if you are a seasoned Machine Learning you may not have all the skills ...
Deep understanding of statistical learning methods * Strong communications and organizational skills We understand that even if you are a seasoned Machine Learning you may not have all the skills ...
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 ...
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 ...
Machine Learning Engineer
New York, NY · On-site
$130K - $170K/yr
Role Summary We are seeking a Machine Learning Engineer who brings the analytical rigor of a data ... This involves integrating statistical modeling, optimization, and autonomous workflows into Colgate ...
Machine Learning Engineer
New York, NY · On-site
$130K - $170K/yr
Role Summary We are seeking a Machine Learning Engineer who brings the analytical rigor of a data ... This involves integrating statistical modeling, optimization, and autonomous workflows into Colgate ...
Machine Learning Engineer
New York, NY · On-site
$130K - $170K/yr
Role Summary We are seeking a Machine Learning Engineer who brings the analytical rigor of a data ... This involves integrating statistical modeling, optimization, and autonomous workflows into Colgate ...
Machine Learning Engineer
New York, NY · On-site
$130K - $170K/yr
Role Summary We are seeking a Machine Learning Engineer who brings the analytical rigor of a data ... This involves integrating statistical modeling, optimization, and autonomous workflows into Colgate ...
This part-time role focuses on statistical computing in R, data validation, research data ... A machine learning engineering position * A business intelligence/dashboarding role * A product ...
This part-time role focuses on statistical computing in R, data validation, research data ... A machine learning engineering position * A business intelligence/dashboarding role * A product ...
This part-time role focuses on statistical computing in R, data validation, research data ... A machine learning engineering position * A business intelligence/dashboarding role * A product ...
This part-time role focuses on statistical computing in R, data validation, research data ... A machine learning engineering position * A business intelligence/dashboarding role * A product ...
Systematic Equity Trader
$150K - $225K/yr
Utilize sound financial insight and statistical learning techniques to explore, analyze, and harness a wide range of datasets building predictive models. * Design and implement short-term trading ...
Systematic Equity Trader
$150K - $225K/yr
Utilize sound financial insight and statistical learning techniques to explore, analyze, and harness a wide range of datasets building predictive models. * Design and implement short-term trading ...
Quantitative Researcher, Systematic Macro
New York, NY · On-site
$150K - $200K/yr
Contribute to and enhance the internal research platform, including data pipelines, statistical learning tools, alpha analytics, and backtesting frameworks. * Independently explore and develop new ...
Quantitative Researcher, Systematic Macro
New York, NY · On-site
$150K - $200K/yr
Contribute to and enhance the internal research platform, including data pipelines, statistical learning tools, alpha analytics, and backtesting frameworks. * Independently explore and develop new ...
Statistical learning and time-series modeling * Overfitting, cross-validation, and experimental design * Portfolio construction and signal interaction effects * Strong Python skills; comfortable ...
Statistical learning and time-series modeling * Overfitting, cross-validation, and experimental design * Portfolio construction and signal interaction effects * Strong Python skills; comfortable ...
Post-Doctoral Associate
Piscataway, NJ · On-site
$63K/yr
The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods ...
Post-Doctoral Associate
Piscataway, NJ · On-site
$63K/yr
The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods ...
Quantitative Researcher, Quantitative Strategies
New York, NY · On-site
$150K - $200K/yr
Generate and test new ideas using financial intuition, statistical learning, and large, diverse datasets * Integrate Agentic AI workflows where they can improve productivity, model development, or ...
Quantitative Researcher, Quantitative Strategies
New York, NY · On-site
$150K - $200K/yr
Generate and test new ideas using financial intuition, statistical learning, and large, diverse datasets * Integrate Agentic AI workflows where they can improve productivity, model development, or ...
Quantitative Researcher for Congestion Revenue Rights
New York, NY · On-site +1
$160K - $200K/yr
To accomplish our aims, we're leveraging state of the art statistical learning and convex optimization methods (AI) to build the financial rails of our future energy systems that will accelerate the ...
Quantitative Researcher for Congestion Revenue Rights
New York, NY · On-site +1
$160K - $200K/yr
To accomplish our aims, we're leveraging state of the art statistical learning and convex optimization methods (AI) to build the financial rails of our future energy systems that will accelerate the ...
Develop and deploy Statistical and explainable Machine Learning (ML) models for event prediction and forecasting. Derive actionable insights to support corporate strategy, budget planning, regulatory ...
Develop and deploy Statistical and explainable Machine Learning (ML) models for event prediction and forecasting. Derive actionable insights to support corporate strategy, budget planning, regulatory ...
Develop and deploy Statistical and explainable Machine Learning (ML) models for event prediction and forecasting. Derive actionable insights to support corporate strategy, budget planning, regulatory ...
Develop and deploy Statistical and explainable Machine Learning (ML) models for event prediction and forecasting. Derive actionable insights to support corporate strategy, budget planning, regulatory ...
Develop and deploy Statistical and explainable Machine Learning (ML) models for event prediction and forecasting. Derive actionable insights to support corporate strategy, budget planning, regulatory ...
Develop and deploy Statistical and explainable Machine Learning (ML) models for event prediction and forecasting. Derive actionable insights to support corporate strategy, budget planning, regulatory ...
Systematic Equity Trader
New York, NY · On-site
$150K - $225K/yr
Utilize sound financial insight and statistical learning techniques to explore, analyze, and harness a wide range of datasets building predictive models. * Design and implement short-term trading ...
Systematic Equity Trader
New York, NY · On-site
$150K - $225K/yr
Utilize sound financial insight and statistical learning techniques to explore, analyze, and harness a wide range of datasets building predictive models. * Design and implement short-term trading ...
Principal, Statistician
Manhattan, NY · On-site
Deep command of statistical and computational methods: mixed-effects models, longitudinal analyses, Bayesian approaches, machine learning, and the judgment to know which tool fits the problem
Principal, Statistician
Manhattan, NY · On-site
Deep command of statistical and computational methods: mixed-effects models, longitudinal analyses, Bayesian approaches, machine learning, and the judgment to know which tool fits the problem
PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning ...
PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning ...
Machine Learning Specialist
New York, NY · On-site
PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning ...
Machine Learning Specialist
New York, NY · On-site
PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning ...
Statistical Learning information
What are the key skills and qualifications needed to thrive as a Statistical Learning Specialist, and why are they important?
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.
What is statistical learning?
Statistical learning is a field within data analysis and machine learning that focuses on understanding and modeling the relationship between variables using statistical methods. It involves techniques such as regression, classification, and pattern recognition, often utilizing tools like R or Python. Professionals in this area analyze data to make predictions or inform decisions based on statistical models.
What jobs make $1,000,000 a year?
In the field of statistical learning, high-paying roles such as data science executives, chief data officers, or senior machine learning engineers can reach or exceed $1,000,000 annually, especially in large tech companies or finance firms. These positions typically require advanced skills in statistical modeling, programming, and experience managing large datasets, often combined with performance-based bonuses and stock options.
What careers can you get with statistics?
A career in statistical learning can lead to roles such as data analyst, data scientist, statistician, machine learning engineer, and quantitative researcher. These positions typically require skills in programming, data analysis, and statistical software, and are common in industries like finance, healthcare, technology, and government. Certifications in data analysis or machine learning can enhance job prospects.
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.
Is 40 too late for data science?
Statistical learning roles in data science do not have strict age limits, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses, certifications, and practical experience regardless of age.
What is the difference between Statistical Learning vs Data Analyst?
| Aspect | Statistical Learning | Data Analyst |
|---|---|---|
| Required Credentials | Degree in Statistics, Data Science, or related fields | Degree in Statistics, Data Science, Business, or related fields |
| Work Environment | Research, academia, tech companies, data science teams | Business, marketing, finance, healthcare organizations |
| Employer & Industry Usage | Tech firms, research institutions, startups | Corporations, consulting firms, government agencies |
| Common Search & Comparison | Statistical 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 are popular job titles related to Statistical Learning jobs in New York? For Statistical Learning jobs in New York, the most frequently searched job titles are:
- Quantitative Pharmacology Internship
- Contract Machine Learning Research Scientist
- Phd Statistician
- Remote Crispr Genome Editing
- Masters In Computational Biology
- Remote Molecular Cloning
- Mechanistic Interpretability
- Senior Computational Biologist
- Nlp Research Scientist
- Senior Applied Scientist Machine Learning
What job categories do people searching Statistical Learning jobs in New York look for? The top searched job categories for Statistical Learning jobs in New York are:
What cities in New York are hiring for Statistical Learning jobs? Cities in New York with the most Statistical Learning job openings:
Morgan Stanley rating
8.3
Based on 151 frontline employees who took The Breakroom Quiz
40th of 146 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.
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
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