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Statistical Learning Jobs (NOW HIRING)

Quanta Search

Machine Learning Researcher

New York, NY · On-site

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 ...

Quanta Search

Machine Learning Researcher

Manhattan, NY · On-site

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 ...

Quanta Search

Stat Arb Quant Researcher

Manhattan, NY · On-site

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 ...

Quanta Search

Stat Arb Quant Researcher

Manhattan, NY · On-site

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 ...

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 ...

Sallie Mae

Manager, Statistical Modeling

Newark, DE · On-site

Master's degree in Statistics, Mathematics, Data Science, Computer Science, Machine Learning, or a ... related quantitative field. * 3+ years of experience in statistical modeling, including experience ...

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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 May 29, 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.

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 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.

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:
What job categories do people searching Statistical Learning jobs look for? The top searched job categories for Statistical Learning jobs are:
Statistical Learning jobs near you
Infographic showing various Statistical Learning job openings in the United States as of May 2026, with employment types broken down into 6% Internship, 82% Full Time, 6% Part Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $90,119 per year, or $43.3 per hour.
IT - Senior Technology Architect | data science | Machine Learning

IT - Senior Technology Architect | data science | Machine Learning

Spruce Infotech

Dayton, OH • On-site

$65.25 - $87.50/hr

Full-time

Posted 2 days ago

Job description

Job Title: Senior Technology Architect | Data Science | Machine Learning
Work Location: Dayton, OH 45402
Vendor Rate: XXX/hr
Contract duration: 6months
Target Start Date: 09 Mar 2026
Job Details:
Must Have Skills
Strong hands on experience with Core ML & Stats (optimization, supervisedunsupervised learning)
NLP (semantic search, embeddings, text modeling)
MLOps (MLflow, Kubeflow, Airflow, Docker, CICD)
Nice to have skills
Healthcare insurance Managed Care (MCO) experience familiarity with claims, clinical workflows, risk models, or regulatory frameworks is a strong plus.
Experience with vector databases, hybrid semantic neural architectures, or agentic AI systems.
Detailed Job Description
Design advanced ML models across NLP, optimization, predictive modeling, and statistical learning. Own end to end MLOps pipelines data ingestion, training, deployment, monitoring, CICD. Collaborate with engineering, product, and domain teams to deliver production ready AI solutions. Build and scale Knowledge Graphdriven AI systems ontology design, graph embeddings, reasoning. Develop and fine tune LLMs for classification, summarization, RAG, and agentic workflows. Core ML Stats optimization,
Minimum years of experience
>10 years
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Design advanced ML models across NLP, optimization, predictive modeling, and statistical learning.
Own end to end MLOps pipelines data ingestion, training, deployment, monitoring, CICD.
Collaborate with engineering, product, and domain teams to deliver production ready AI solutions.

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