Data Scientist I

at  Black Knight

Position:
Data Scientist I
Job Description:

SUMMARY

Responsible for analyzing large data sets for ICE Data and Analytics division to find opportunities for product development and process optimization. Works with loan-level data, to normalize, aggregate, and produce data products. Responsibilities include working with data contributors to enhance their submissions by exposing and alleviating data issues to ensure data quality; expanding field coverage and being the go-to source for data questions that arise. Will also be working with customers to develop data use cases, research and new products from the loan-level data that will support our clients in making important business decisions based on this analysis and findings.
NOTE: Please note that pursuant to a government contract, this specific position requires U.S. citizen, U.S. national or protected individual (as defined under 8 U.S.C. § 1324b(a)(3)) status.

MINIMUM REQUIREMENTS

• Bachelor’s degree in Statistics, Mathematics, Computer Science, or another quantitative field or the equivalent combination of education, training, or work experience
• Requires up to 3+ years of data science or related experience in developing mathematical formulas, financial models, and computer programs experience
• Experience using statistical computer languages (Python, SQL, R, etc.) to manipulate data and draw insights from large data sets

PREFERRED QUALIFICATIONS

• Master’s degree or PHD in Statistics, Mathematics, Computer Science, or another quantitative field
• Understanding of financial data (loan, mortgage, credit card data, etc.)
• Experience working with and creating data architectures
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications
• Effective written and verbal communication skills for coordinating across teams
• Experience manipulating data sets and building statistical models
• Experience creating and using advanced Artificial Intelligence (AI) and/or Machine Learning (ML) algorithms and statistics
• Experience with distributed data/computing tools: Spark, PySpark, AWS, etc.
• Experience visualizing/presenting data for stakeholders using Tableau, Power BI or similar tools
• Advanced skills in Excel and other MS Office applications
  ICE carefully considers multiple factors to determine compensation, including a candidate’s education, training, specialty, experience, and work location. The base salary (exempt) or hourly rate (non-exempt) is just one component of the total rewards package offered to our employees, including potential bonus or commission eligibility, insurance (medical/dental/vision/life/disability), matching 401(k) plan and matching employee stock purchase plan
  EEO Statement:
  ICE is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, and protected veteran or military family status. Our employees’ diversity is our strength, and when we embrace our differences, it makes us better and brighter. ICEs commitment to inclusion is at the core of who we are, and motivates us in how we do business each and every day.
  Location:
  Jacksonville, FL
  Time Type:
  Full tim

• Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Works closely with Research and Development on the application and product development of financial tools. Provides consulting and analysis to clients using these tools.
• Demonstrates analysis and findings to customers and clients to develop use cases.
• Assesses the effectiveness and accuracy of new data sources and data gathering techniques
• Develops custom data models and algorithms to apply to data sets
• Coordinates with different functional teams to implement models and monitor outcomes
• Develops processes and tools to monitor and analyze model performance and data accuracy
• Performs other related duties as assigned