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

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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 cities near Rices Landing, PA are hiring for Statistical Learning jobs? Cities near Rices Landing, PA with the most Statistical Learning job openings:
Pharmacy Analyst - Business Optimization Strategist

Pharmacy Analyst - Business Optimization Strategist

WVU Medicine

Morgantown, WV • On-site

Full-time

Posted 24 days ago


WVU Medicine rating

6.6

Company rating: 6.6 out of 10

Based on 571 frontline employees who took The Breakroom Quiz

562nd of 880 rated healthcare providers


Job description

Welcome! We're excited you're considering an opportunity with us! To apply to this position and be considered, click the Apply button located above this message and complete the application in full. Below, you'll find other important information about this position.
Support the Enterprise Pharmacy Business Operation's team by leading efforts to design, innovate, and implement solutions as needed to improve systems and processes. Advocate for customers to understand pharmacy business needs and identify improvement/productivity opportunities. Possesses critical thinking skills to assess analytical needs and determine the appropriate course of action. Manage successful relationships across the entire enterprise and facilitates the development of optimal solutions. Use of performance improvement, project management, cost accounting, industrial engineering, and technological skills will be employed to work with all levels of WVUHS management and pharmacy staff. Continuous learning of current data base structure, and business intelligence tools are required to confer with customers and other members of the application teams. Effectively communicate across all levels of the organization.
MINIMUM QUALIFICATIONS:
EDUCATION, CERTIFICATION, AND/OR LICENSURE:
1. Bachelor's degree in Information Technology/Computer Science, Engineering, Business Management, Business Administration, Accounting, Finance, Hospital Administration, or related field and two (2) years of experience in pharmacy or data analytics.
To be completed as established by department: (Administered at Department level)
1. This position will require an EPIC official designation of "Proficient" within the new hire probationary period.
EXPERIENCE:
1. Two (2) years of experience working with relational data base structures including design, testing, troubleshooting problems and/or training.
2. Two (2) years of experience in data analysis and/or health care planning background, preferably in Pharmacy.
3. Two (2) years of experience with reporting tools such as Crystal Reports.
4. Experience with Structured Query Language (SQL/Oracle) and/or Business Objects.
PREFERRED QUALIFICATIONS:
EDUCATION, CERTIFICATION, AND/OR LICENSURE:
1. Master's degree in Information Technology/Computer Science, Engineering, Business Management, Business Administration, Accounting, Finance, or Hospital Administration.
EXPERIENCE:
1. Two (2) years' experience in pharmacy.
2. Familiarity of applications to be supported preferred experience with Structured Query Language (SQL/Oracle) and/or business intelligence tools.
3. Four (4) years of data analytics experience.
CORE DUTIES AND RESPONSIBILITIES: The statements described here are intended to describe the general nature of work being performed by people assigned to this position. They are not intended to be constructed as an all-inclusive list of all responsibilities and duties. Other duties may be assigned.
1. Maintains a thorough understanding of the data base structure and business intelligence tools to create required analytical solutions for the pharmacy team.
2. Serves as first point of contact for data analytics and process improvement for the pharmacy team.
3. Performs data analysis and creates queries, programs and automation.
4. Uses analytical methods to ensure reported data is meaningful and accurate.
5. Demonstrates technical ability in data analytics using various systems and tools such as Tableau, Microsoft Office Suite, and SAP products.
6. Routinely evaluates current pharmacy analytic tools and practices and works with individual teams to improve or automate processes.
7. Maintain and utilize a pharmacy database that is used to complete complex analysis related to drug purchase and utilization.
8. Attends courses in performance improvement activities, system design, technical training, statistical analysis, and other appropriate subjects.
9. Leads data requirements gathering for problem identification, resolution, and solution design.
10. Provides analytical insights from data to drive strategic business decisions.
11. Project Coordination- Identifies needs for cross functional teams to ensure projects are completed in a timely fashion.
12. Reviews, identifies and documents any issues, barriers, or risks and brings them to management's attention.
13. Provides Project/Task Coordination Services to pharmacy customers as assigned.
14. Manages workload and balances quality of work with deadlines to fulfill user expectations and project goals.
15. Manages expectations and engages management to review/resolve any potential changes to project scope, expected deliverables, etc.
16. Implements changes while adhering to the change control policy and procedures for the project in order to deliver a successful solution to the customer.
17. Communicates to all parties the natures, significance and risk factors of corresponding projects.
18. Participates in post implementation review of projects.
19. Gathers customer requirements to understand business needs and translate into actionable solutions.
20. Team Building- Participates in training and professional development sessions.
21. Offers assistance and support to co-workers.
22. Contributes to building positive team spirit and cohesiveness.
23. Balances team and individual responsibilities.
24. Works proactively and cooperatively in group problem-solving situations.
25. Responsible for maintenance and testing of tracking software.
26. Maintain system databases to reflect changes in the drug formulary or product specifications.
27. Assure appropriate safeguards and system integrity.
28. Works with department management in the development and implementation of departmental goals and objectives.
29. Participates in the planning and implementing change and maintaining the improving productivity through attendance and participation in staff meetings, committees, task forces and projects.
30. Engages peers/ employees in improving the quality of the work.
31. Interacts regularly with the department management team and clinical specialists to supply drug usage information, Phidentify irregularities in spending, and provide recommendations for alternative products.
PHYSICAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
WORKING ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
SKILLS AND ABILITIES:
1. Ability to handle and maintain confidential information.
2. Ability to work well under high stress conditions.
3. Ability to work independently or cooperatively as a team member.
4. Ability to adapt to various workloads and assignments.
5. Ability to work with multi-disciplinary groups and facilitate meetings.
6. Must have reading and comprehension ability.
7. Must be able to type.
8. Must be able to read and write legibly in English.
9. Possess good oral and written communication skills.
10. Ability to prioritize tasks.
11. Must have independent decision-making ability.
12. Ability to work in a fast paced and rapidly changing environment.
13. Must be flexible.
Additional Job Description:
ON SITE M-F (Morgantown, WV)
Scheduled Weekly Hours:
40
Shift:
Exempt/Non-Exempt:
United States of America (Exempt)
Company:
SYSTEM West Virginia University Health System
Cost Center:
249 SYSTEM Pharmacy Business Operations
Address:
781 Chestnut Ridge Road
Morgantown
West Virginia
Equal Opportunity Employer
West Virginia University Health System and its subsidiaries (collectively "WVUHS") is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. WVUHS strictly prohibits and does not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state, or local law. All WVUHS employees, other workers, and representatives are prohibited from engaging in unlawful discrimination. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.

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