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Statistical Learning Jobs in Rices Landing, PA (NOW HIRING)

Demoind

Machine Learning

California, PA

D. (with 0 - 2 years of experience) in a relevant field such as Probability, Statistics, Machine Learning, Data Mining, Artificial intelligence Computer Science. - Experience with building data ...

WVU Medicine

Associate Data Scientist

Morgantown, WV · On-site

$60K - $61K/yr

EXPERIENCE: 1. Hands-on experience with statistical modeling or machine learning. 2. Familiarity with data visualization libraries or business intelligence tools. 3. Demonstrated experience or ...

Reli Group Inc

Power BI Intern

Morgantown, WV

$15/hr

Knowledge of statistical analysis or data modeling preferred * *MUST reside in a HUBZone. Please check your eligibility on HUBZone Map (sba.gov). EEO Employer: RELI Group is an Equal Employment ...

ffh

Store Manager - Unassigned

Belle Vernon, PA · On-site

Store Manager - Unassigned will be responsible for learning how to properly operate a store within ... Additionally, it is necessary they understand and interpret data presented in statistical or ...

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All JobsStatistical Learning JobsStatistical Learning Jobs in Rices Landing, PA

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 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.

What cities near Rices Landing, PA are hiring for Statistical Learning jobs? Cities near Rices Landing, PA with the most Statistical Learning job openings:
Statistical Learning jobs near you

Machine Learning

Demoind

California, PA

Other

Posted 3 days ago

Job description

Overview:
Job description
Job Responsibilities :
- Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge management, and insight generation.
- Understand business challenges and goals to formulate the approach for data analysis and model creation that will support business decision making.
- Take analytical objectives and define data requirements in terms of size, format, and cleansing needs for purposes of analysis, modelingsegmentation and reporting.
- Research on innovative technologies to come up .
- Interpret, document and presentcommunicate analytical results to multiple business disciplines, providing conclusions and recommendations based on customer-centric data.
- Building intelligent systems leveraging the vast amount of available userbehavior data to enrich the end-user experience
Job Requirements :
- Masters- (with 4+ years of experience) Or Ph.D. (with 0 - 2 years of experience) in a relevant field such as Probability, Statistics, Machine Learning, Data Mining, Artificial intelligence Computer Science.
- Experience with building data analytics models via supervised and unsupervised machine learning, statistical analysis, and predictive modeling techniques.
- Understanding of statistical modelingmachine learning data mining concepts and strong analytical and quantitative problem-solving ability.
- Strong background and experience in using R, SAS, MATLAB or equivalent statisticaldata analysis tools and technologies is a must.
- Hands-on skills in using techniques such as Parametric and Non-Parametric Regression models.
Skills : PYTHON, ANALYSIS
RoleMachine Learning Engineer
Industry TypeIT Services & Consulting
Functional AreaData Science & Analytics
Employment TypeFull Time, Permanent
Role CategoryData Science & Machine Learning
Education
UG :B.Sc in Any Specialization, BCA in Any Specialization, B.Tech/B.E. in Any Specialization
PG :M.Tech in Computers, MS/M.Sc(Science) in Computers, Statistics, MCA in Computers, M.A in Statistics
Doctorate :Ph.D/Doctorate in Statistics, Computers
Key Skills
Machine Learning
R, SAS,Artificial Intelligence,MATLAB,Python
Skills:
MACHINE LEARNING,MATLAB,ARTIFICIAL INTELLIGENCE,SAS,PYTHON,R,DATA MINING

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