Data Scientist

DataJobs; Fort Washington (Montgomery County); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical insurance and related benefits

Retirement plans

Tuition assistance

Disability insurance

Wellness programs

Job summary

Thomas Jefferson University seeks a data scientist to lead data-driven decision support in an onsite role at Fort Washington, PA. You will analyze healthcare data, build predictive models, and collaborate with clinical and administrative teams to improve outcomes.

The position requires a master’s in a quantitative field and at least 3 years of experience with Python, R, and SQL, plus experience with machine learning and data visualization.

Qualifications

• Master’s Degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Minimum 3 years of data science or related work experience.
• Knowledge of data management languages and technologies including Python, R, and 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.

Responsibilities

• Perform data extraction, cleaning, and harmonization.
• Complete data analysis and statistical modeling to support decision-making.
• Develop predictive models, conduct statistical analysis, and design experiments for data-driven decisions.
• Collaborate with cross-functional teams to identify business problems solvable with data science.
• Interpret and visualize model results for stakeholders.
• Conduct basic modeling and analysis of customer, transaction, and campaign data to identify trends and patterns.
• Use insights from segmentation to identify consumer behavior.
• Collect, analyze, and interpret information from multiple data sources to identify efficiencies, consumer perspectives on health care, and revenue opportunities.
• Assist with analytical modeling and data mining techniques on large and varied data sets.
• Design data visualizations that communicate complex findings to clinical staff, administrators, and hospital leadership.
• Build predictive models and machine-learning algorithms through development and testing for clinical and non-clinical environments.
• Support data collection, distribution, and analysis efforts, including ETL processes to CRM cloud platforms such as Salesforce.

Skills

Python

R

SQL

Machine Learning

Data Visualization

Education

Master’s Degree in a quantitative field

Tools

Salesforce

ETL

Job description

Lead data-driven decisions through statistical analysis, experimental design, and predictive modeling in an onsite role in Fort Washington, PA.

Responsibilities

• Perform data extraction, cleaning, and harmonization.
• Complete data analysis and statistical modeling to support decision-making.
• Develop predictive models, conduct statistical analysis, and design experiments for data-driven decisions.
• Collaborate with cross-functional teams to identify business problems solvable with data science.
• Interpret and visualize model results for stakeholders.
• Conduct basic modeling and analysis of customer, transaction, and campaign data to identify trends and patterns.
• Use insights from segmentation to identify consumer behavior.
• Collect, analyze, and interpret information from multiple data sources to identify efficiencies, consumer perspectives on health care, and revenue opportunities.
• Assist with analytical modeling and data mining techniques on large and varied data sets.
• Design data visualizations that communicate complex findings to clinical staff, administrators, and hospital leadership.
• Build predictive models and machine-learning algorithms through development and testing for clinical and non-clinical environments.
• Support data collection, distribution, and analysis efforts, including ETL processes to CRM cloud platforms such as Salesforce.

Requirements

• Master’s Degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Minimum 3 years of data science or related work experience.
• Knowledge of data management languages and technologies including Python, R, and 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.

Technologies

• Python
• R
• SQL
• Salesforce
• ETL

Benefits

• Medical (including prescription), supplemental insurance, dental, vision, life, and AD&D insurance.
• Short- and long-term disability.
• Flexible spending accounts.
• Retirement plans.
• Tuition assistance.
• Voluntary benefits with access to group rates on insurance and discounts.
• Tuition discounts at Thomas Jefferson University after one year of full-time service or two years of part-time service.
• Access to medical (including prescription) insurance for all colleagues, including those working less than part-time (including per diem colleagues, adjunct faculty, and Jeff Temps).

Physical Demands

• Lift and carry 25 lbs.
• Frequent sitting/standing.
• Frequent keyboard use.
• Patient care providers may be required to perform role-specific activities including kneeling, bending, squatting, and performing CPR.

Work Details

• Location: Fort Washington, PA (onsite)
• Address: 1100 Virginia Drive, Fort Washington, Pennsylvania, United States of America
• Work shift: Workday Day (United States of America)
• Worker subtype: Regular

Employee entity: Thomas Jefferson University