Hybrid Data Scientist: Predictive Modeling & Insights

Juniper Ridge; Philadelphia (Philadelphia County); On-site; USD 110,000 - 155,000; Full time

Benefits offered by this job

Flexible work arrangements

Wellness programs

Training resources

Job summary

Juniper Ridge, a financial services company, is seeking a Data Scientist in Philadelphia, PA for a full-time role with a salary range of $110,000 to $154,896 per year. You will analyze complex data sets, develop predictive models, and create data visualizations to support business decisions, collaborating with cross-functional teams to find data-driven opportunities.

The team in Philadelphia emphasizes collaboration, innovation, and ongoing professional development, with a culture focused on

Qualifications

• Bachelor’s degree in CS, Statistics, Mathematics or related field.
• 3-5 years of experience in data science or related field.
• Strong programming in Python, R, or a similar language.
• Experience with machine learning and statistical modeling.
• Knowledge of data visualization tools and techniques.
• Experience with SQL and database management.

Responsibilities

• Develop and implement data-driven solutions to business problems.
• Analyze large datasets to identify trends and patterns.
• Build and maintain predictive models to support business decisions.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Communicate findings and insights to stakeholders in a clear and concise manner.
• Continuously improve and refine data models and algorithms.

Skills

Python

R

SQL

Data analysis

Machine learning

Data visualization

Education

Master's degree in Data Science, Statistics, or related field

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Job description

Juniper Ridge, a financial services company, is seeking a Data Scientist in Philadelphia, PA for a full-time role with a salary range of $110,000 to $154,896 per year. You will analyze complex data sets, develop predictive models, and create data visualizations to support business decisions, collaborating with cross-functional teams to find data-driven opportunities.

The team in Philadelphia emphasizes collaboration, innovation, and ongoing professional development, with a culture focused on