Hybrid work from either our Jacksonville, FL or Atlanta, GA office is required with flexibility to work remote up to 2 days per week
SUMMARY
Responsible for analyzing large data sets for Black Knight's Data and Analytics division to find opportunities for product and process optimization. Uses Machine Learning (ML), and other various models and techniques to test the effectiveness of different courses of action. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Drives business results with data-based insights and discovers solutions hidden in large data sets to improve business outcomes.
RESPONSIBILITIES
Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
Assesses the effectiveness and accuracy of new data sources and data gathering techniques
Develops custom data models and algorithms to apply to data sets
Uses predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes
Develops a testing framework and tests model quality
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
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 0 – 3+ years of data science experience
PREFERRED QUALIFICATIONS
Master's degree or PHD in Statistics, Mathematics, Computer Science, or another quantitative field
Knowledge of Black Knight's products, services, and capabilities
Mortgage industry experience
Experience using statistical computer languages (Python, SQL, R, etc.) to manipulate data and draw insights from large data sets
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
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.
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