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Statistical Learning Jobs in Philadelphia, PA (NOW HIRING)

... learning, SPSS Excellent communication and interpersonal skills Qualifications Master's degree/Ph.D. in Statistics, Mathematics or related field with two to five years of experience OR a Bachelor ...

Solid foundation in data science and statistical learning , including: * Classification and regression techniques * Feature engineering * Model evaluation and performance monitoring Preferred ...

Solid foundation in data science and statistical learning , including: * Classification and regression techniques * Feature engineering * Model evaluation and performance monitoring Preferred ...

Statistics Tutor

Chester, PA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Solid foundation in data science and statistical learning , including: * Classification and regression techniques * Feature engineering * Model evaluation and performance monitoring Preferred ...

Solid foundation in data science and statistical learning , including: * Classification and regression techniques * Feature engineering * Model evaluation and performance monitoring Preferred ...

AP Statistics Tutor

Chester, PA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online AP Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Machine Learning Tutor

Chester, PA · Remote

$18 - $40/hr

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

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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?

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 are popular job titles related to Statistical Learning jobs in Philadelphia, PA? For Statistical Learning jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Statistical Learning jobs in Philadelphia, PA look for? The top searched job categories for Statistical Learning jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Statistical Learning jobs? Cities near Philadelphia, PA with the most Statistical Learning job openings:

Statistical Programmer

KG Tiger

Plymouth Meeting, PA • On-site

Full-time

Re-posted 17 days ago


Job description

Company Description

ABOUT THE COMPANY:

A design company that blends technology, creativity and engineering to help customers transform ideas into world-class products and solutions. The company addresses the communications, consumer products, defense, healthcare, media & entertainment, semiconductor and transportation sectors. This is supported by a network of design studios, development centers and offices worldwide. Key services include embedded product design, industrial design, animation & visual effects and systems integration

ABOUT KGTiger: 

A professional services consulting firm hired to directly source prospective candidates. The company's strategy of maintaining long-term relationships has created a success paradigm that nets great benefits for candidates and clients. Your confidentiality is totally respected. Resumes and other employment-related information are not shared with the client until we have secured your permission. Likewise, we may be asked to maintain client confidentiality.


Job Description


SAS and/or SQL programming experience
Experience working with Patient-level and/or medical claims-level data
Experience analyzing very large amounts of data
Technical skills/knowledge in one or more of the following: multivariate analysis, regression analysis and forecasting, sampling, data modeling, R programming, machine learning, SPSS
Excellent communication and interpersonal skills

Qualifications

Master's degree/Ph.D. in Statistics, Mathematics or related field with two to five years of experience OR a Bachelor's degree and 7 years of experience in operations research, market research, or applied statistics