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Statistical Learning Jobs (NOW HIRING)

Morgan Stanley

Machine Learning Researcher

Broadway, VA

$154K - $213K/yr

Deep understanding of statistical learning methods * Strong communications and organizational skills * 4+ years of applicable research experience * Bachelor's degree required, Ph.D. desired #LI-SK1 ...

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Sr Statistical Programmer

Blue Bell, PA · On-site

Sr. Statistical Programmer ICON is a global healthcare intelligence and clinical research ... Learning and development opportunities through structured training and career pathways Benefits may ...

ICON

Sr Statistical Programmer

Blue Bell, PA · On-site +1

Sr. Statistical Programmer ICON is a global healthcare intelligence and clinical research ... Learning and development opportunities through structured training and career pathways Benefits may ...

Old Mission

Systematic Equity Trader

New York, NY

$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 ...

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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 20, 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
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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
Data Scientist (L5) - Content Promotion & Discovery Performance

Data Scientist (L5) - Content Promotion & Discovery Performance

Netflix

Sudbury, MA

Full-time

Posted 21 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

57th of 65 rated media

Job description

The Merch & Algo Performance team focuses on how we can maximize member joy and engagement with our platform by improving and optimizing how we distribute titles on our product.  We are looking for a talented Senior Data Scientist with strong statistics and causal inference experience to help us understand how content promotion and personalization algorithms come together. The distribution and promotion of our content as well as personalization are key to how members discover and choose content they would enjoy.

As a Senior Data Scientist, you’ll partner with the business leaders responsible for content & product promotion, Product, Engineering and AI for Member System teams and other diverse stakeholders across the business to shape strategy and deliver impact through analytics, experiments, causal inference and ML/AI methods. 

In this role, you will:

  • Leverage causal inference methods or statistically sound analyses to drive actionable insights and help shape our understanding of how product, content and algorithms influence how members discover content.

  • Build metrics and measurement frameworks that are statistically and causally robust to empower decision-making for stakeholders and product features that can deliver member joy.

  • Establish strong partnerships with team members and diverse stakeholders across the business.

  • Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs that influence the decisions and direction of a variety of areas of Netflix.

  • Proactively explore trends in content discovery to surface future opportunities.

  • Work independently and drive your own projects.

To be successful in this role, you have:

  • An advanced degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.

  • 5+ years of relevant experience in one or more data science roles.

  • Exceptional communication with technical and non-technical audiences; highly effective at developing meaningful stakeholder relationships and deep domain expertise.

  • Expertise in statistical analysis methods, most notably causal inference, statistical learning and experimentation methods.

  • Strong quantitative programming skills in a language such as Python and data manipulation in SQL.

  • Comfort with ambiguity; ability to thrive with minimal oversight and process.

What Netflix employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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