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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
Juniper Ridge, a financial services company, is hiring a Data Scientist in Philadelphia, PA. The role is full-time with a salary range of $110,000 to $154,896 per year.
As a Data Scientist, you will analyze complex data sets, develop predictive models, and create data visualizations to support business decisions. You will also collaborate with cross-functional teams to identify data-driven opportunities.
You will work in an office environment with a team of data professionals in Philadelphia, PA, where the atmosphere is collaborative and innovative. The workplace culture emphasizes innovation and collaboration, with a focus on leveraging data to drive business decisions. The team consists of data analysts, data scientists, and data engineers, all working together to extract insights from complex datasets. The office is equipped with modern technology and comfortable workspaces, fostering a productive and engaging work environment. Regular team meetings and brainstorming sessions are held to encourage open communication and idea-sharing. The team values continuous learning and professional development, with opportunities for employees to attend conferences and workshops. The workplace culture is inclusive and supportive, with a strong emphasis on work-life balance.
The annual salary range for this position is between $110,000 and $154,896, providing a competitive compensation package that includes comprehensive health insurance, retirement plans, and opportunities for professional development. Employees can also benefit from a range of additional perks, such as flexible work arrangements, wellness programs, and access to a variety of training and development resources. These benefits are designed to support the overall well-being and career growth of the team members.
You should have a Master's degree in Data Science, Statistics, or a related field. Experience with Python, R, and SQL is required. Knowledge of machine learning algorithms and data visualization tools is a plus.