Data Scientist

Jeffersonhealth; Texas; On-site; USD 110,000 - 150,000; Full time

Job summary

Jefferson Health is seeking a Data Scientist to conduct statistical analyses and design experiments that support data-driven decision-making. You will work closely with the Data Science team to apply data science principles, develop models, evaluate results, and communicate findings to stakeholders.

Responsibilities include data extraction, cleaning, modeling, and collaboration with cross-functional teams to identify business problems solvable by data science, while building interpretable

Qualifications

• Master’s degree in a quantitative field.
• 3+ years in data science or related work experience.
• Proficiency in Python, R, and SQL.
• Proven experience in data analysis, machine learning, and statistical modeling.
• Ability to communicate technical concepts to non-technical audiences.
• Understanding of machine learning algorithms.

Responsibilities

• Perform data extraction, cleaning and harmonization.
• Complete data analysis and statistical modeling.
• Develop predictive models and design experiments to support data-driven decisions.
• Collaborate with cross-functional teams to identify business problems solvable by data science.
• Provide model interpretation and visualization of results.
• Analyze customer, transaction, and campaign data to identify trends and shape insights.

Skills

Data analysis

Machine learning

Statistical modeling

Problem solving

Communication (non-technical)

Analytical thinking

Education

Master’s Degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or related field

Tools

Python

R

SQL

Job description

Number of Positions In Requisition

1

Job Details

Responsible for conducting statistical analysis and designing experiments to support data-driven decision-making. Works closely with the Data Science team to apply knowledge of existing data science principles, theories, and techniques to inform business decisions. Involves data exploration, model development and evaluation, and communicating findings to stakeholders. Interrupts the model outcome to drive actions and recommendations. Collaborates with cross-functional teams to identify business problems that can be solved using data science techniques and developing innovative solutions.

Job Description

Summary

Responsible for conducting statistical analysis and designing experiments to support data-driven decision-making. Works closely with the Data Science team to apply knowledge of existing data science principles, theories, and techniques to inform business decisions. Involves data exploration, model development and evaluation, and communicating findings to stakeholders. Interrupts the model outcome to drive actions and recommendations. Collaborates with cross-functional teams to identify business problems that can be solved using data science techniques and developing innovative solutions.

Job Duties

• Perform data extraction, cleaning and harmonization.
• Complete data analysis and statistical modeling.
• Develop predictive models, conduct statistical analysis and design experiments to support data-driven decision making.
• Collaborate with cross-functional teams to identify business problems that can be solved using data science.
• Provide model interpretation and visualization of results.
• Performs basic modeling and analysis of customer, transaction, and campaign data to identify trends and patterns to shape consumer segmentation and identify consumer behavior.
• Supports the collection, analysis, and interpretation of information from multiple data sources helping to identify insights that create efficiencies, identify consumer perspectives on health care, or generate revenue.
• Assists in the application of analytical models and data mining techniques to large and varied data sets.
• Assists in the design of rich data visualizations to communicate complex ideas to clinical staff, administrators, and hospital leadership.
• Helps to build predictive models and machine-learning algorithms from development through testing for both clinical and non-clinical environments.
• Facilitates other efforts in data collection, distribution, and analysis including the support of ETL processes to CRM cloud platforms like Salesforce.

Minimum Qualifications

• Master’s Degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or related field.
• 3 years in data science or related work experience.
• Knowledge of data management languages and technologies such as Python, R, SQL or similar languages.
• Proven experience in data analysis, machine learning, and statistical modeling.
• Problem-solving skills and ability to communicate technical concepts to non-technical audiences.
• Understanding of machine learning algorithms.
• Strong analytical and problem-solving skills.

Physical Demands

Lift and carry 25 lbs. frequent sitting/standing, frequent keyboard use, *patient care providers may be required to perform activities specific to their role including kneeling, bending, squatting and performing CPR.

Job Description Disclaimer: This position description provides the major duties/responsibilities, requirements and working conditions for the position. It is intended to be an accurate reflection of the current position, however management reserves the right to revise or change as necessary to meet organizational needs. Other responsibilities may be assigned when circumstances require.

Work Shift

Workday Day (United States of America)

Worker Sub Type

Regular

Employee Entity

Thomas Jefferson University

Primary Location Address

1100 Virginia Drive, Fort Washington, Pennsylvania, United States of America

Nationally ranked, Jefferson, which is principally located in the greater Philadelphia region, Lehigh Valley and Northeastern Pennsylvania and southern New Jersey, is reimagining health care and higher education to create unparalleled value. Jefferson is more than 65,000 people strong, dedicated to providing the highest-quality, compassionate clinical care for patients; making our communities healthier and stronger; preparing tomorrow's professional leaders for 21st-century careers; and creating new knowledge through basic/programmatic, clinical and applied research. Thomas Jefferson University, home of Sidney Kimmel Medical College, Jefferson College of Nursing, and the Kanbar College of Design, Engineering and Commerce, dates back to 1824 and today comprises 10 colleges and three schools offering 200+ undergraduate and graduate programs to more than 8,300 students. Jefferson Health, nationally ranked as one of the top 15 not-for-profit health care systems in the country and the largest provider in the Philadelphia and Lehigh Valley areas, serves patients through millions of encounters each year at 32 hospitals campuses and more than 700 outpatient and urgent care locations throughout the region. Jefferson Health Plans is a not-for-profit managed health care organization providing a broad range of health coverage options in Pennsylvania and New Jersey for more than 35 years.

Jefferson is committed to providing equal educational and employment opportunities for all persons without regard to age, race, color, religion, creed, sexual orientation, gender, gender identity, marital status, pregnancy, national origin, ancestry, citizenship, military status, veteran status, handicap or disability or any other protected group or status.

Benefits

Jefferson offers a comprehensive package of benefits for full-time and part-time colleagues, including medical (including prescription), supplemental insurance, dental, vision, life and AD&D insurance, short- and long-term disability, flexible spending accounts, retirement plans, tuition assistance, as well as voluntary benefits, which provide colleagues with access to group rates on insurance and discounts. Colleagues have access to tuition discounts at Thomas Jefferson University after one year of full time service or two years of part time service. All colleagues, including those who work less than part-time(including per diemcolleagues, adjunct faculty, and Jeff Temps), have access to medical (including prescription) insurance.

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