Data Scientist

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

Job Title Data Scientist

Locations: Jacksonville, FL

Get To Know Us: 

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. 

Why You Will Love It Here!  

• Flexibility: Hybrid Work Model and Business Casual Dress Code, including jeans 

• Your Future: 401k Matching Program, Professional Development Reimbursement  

• Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays 

• Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave  

• Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents and Experiences of Our Employees 

• Training: Hands-On, Team-Customized, including SS&C University  

• Extra Perks: Discounts on fitness clubs, travel and more! 

What You Will Get To Do: 

• Manage and execute entire project from start to finish (problem solving, data gathering, data manipulation, predictive modeling, and key stakeholder engagement)

• Demonstrate technical knowledge on feature engineering, effective exploratory data analysis, and building statistical models

• Implement code (Python, R, Scala, SQL, etc.) for analyzing data and building machine learning and econometric models to solve specific business problems

• Translate analytic insights into actionable recommendations

• Contribute to the scientific roadmap

• Research, learn, and adapt new modeling techniques and procedures to solve complex business problems

• Build a common data science infrastructure that will house statistical models and enable scientists to run experiments on a large variety of project

• Produce and maintain technical documents

What You Will Bring: 

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field; or data science practitioner for 3+ years

• Solid experience in descriptive analytics (reporting, querying, scorecards, dashboard building, visualization, presentations, etc.)

• Experience in data mining and data engineering techniques (gathering, preparing, cleansing, and transforming data) to find patterns and build models

• 2+ years of experience in predictive analytics (statistical data modeling, predicting what customers would do, how customers would respond to marketing campaigns, how client experience would improve, etc.)

• Experience in supervised methods (classification, regression, causal modeling) and unsupervised methods (clustering, co-occurrence grouping, profiling)

• Experience programming in R, Scala, Python (Django, Flask, Pyramid, etc.), or similar languages and maintaining code repositories

• Experience formulating and testing hypotheses using tools like Jupyter notebooks, R, Julio, etc.

• Create prototype machine learning or statistical models using open-source packages, such as SciKit Learn, PyTorch, Tensorflow, Stan, or equivalent

• Excellent verbal and written communication skills

Preferred Qualif