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Statistical Learning Jobs (NOW HIRING)

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 ...

Candidates must possess exceptional knowledge of mathematical and statistical methods as well as a ... Successful candidates will also have deep interest in learning about trading and the financial ...

Candidates must possess exceptional knowledge of mathematical and statistical methods as well as a ... Successful candidates will also have deep interest in learning about trading and the financial ...

Candidates must possess exceptional knowledge of mathematical and statistical methods as well as a ... Successful candidates will also have deep interest in learning about trading and the financial ...

Knowledge of/degree in topics including but not limited to: machine learning/statistical learning, convex optimization, numerical linear algebra, finance, market microstructure * The creativity to ...

Knowledge of/degree in topics including but not limited to: machine learning/statistical learning, convex optimization, numerical linear algebra, finance, market microstructure * The creativity to ...

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 ...

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 ...

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Statistical Learning information

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$68K

$90.1K

$107.5K

How much do statistical learning jobs pay per year?

As of Jun 19, 2026, the average yearly pay for statistical learning in the United States is $90,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $106,500.00 per year, depending on experience, location, and employer.

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 statistics and machine learning that focuses on understanding and modeling relationships between variables using data. It involves methods for predicting outcomes, classifying data points, and uncovering patterns by analyzing large datasets. Techniques in statistical learning include regression, classification, clustering, and dimensionality reduction, among others. These methods are widely used in fields like finance, healthcare, and technology to make data-driven decisions.

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.

More about Statistical Learning jobs
What cities are hiring for Statistical Learning jobs? Cities with the most Statistical Learning job openings:
What states have the most Statistical Learning jobs? States with the most job openings for Statistical Learning jobs include:
Machine Learning

Machine Learning

Strivector Corp

Manhattan, NY • On-site

Full-time

Posted 3 days ago


Job description

Job Summary:
Strivector Corp is a National Recruiting and Staffing agency established in 2012 and headquartered in Austin, Texas. They are seeking a Machine Learning professional capable of tackling research problems with commercial applications, applying technical expertise to real-world financial and operational challenges.
Responsibilities:
• We are seeking someone capable of independently tackling research problems that have commercial applications.
• Ideal candidates will be able to apply the technical expertise and research acumen cultivated in their academic careers to real-world financial and operating problems.
• These candidates will have a track record of exceptionally creative, hands-on, high-impact machine learning research and applications, evidenced by publications in competitive venues.
Qualifications:
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 organizational skills
• Bachelor's degree required, Ph.D. desired
• 4+ years of applicable research experience
Company:
Strivector is a National Staffing and Recruiting agency that specializes in hiring for Leadership, Information Technology, Veterinary, Engineering, Operations, Sales, Quality, HR, and Finance positions. Founded in 2011, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Growth Stage.