Manager Data Science
Manager Data Science
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
General Summary:
Elevate is a technology firm which develops nextgeneration financial products focused on managing lifes everyday expenses. The Data Science team conceptualizes develops deploys and maintains predictive models using advanced statistical and machine learning methods. These models are used in Elevates Underwriting Account Management and Operations applications. The Sr. Data Scientist plays a critical role by applying cuttingedge modeling techniques to drive growth control risk and ensure operations excellence.
Primary Responsibilities:
- Manage a team of data scientists through predictive models and analytical exercises to deliver business value innovative approaches and quality .
- Design Develop and Deploy advanced machine learning and Artificial Intelligence algorithms/predictive models for use in Underwriting Customer Management Marketing and Operations;
- Functional lead and point of contact with business partners to support the needs and goals of all Elevate portfolios Rock teams and Pods.
- Assess clean merge and analyze large datasets adhering to standardized data manipulation techniques and methodology by leveraging Python Spark Snowflakes etc.
- Design Develop and Deploy linear nonlinear and other ML algorithms for testing development and deployment into our underwriting engine in the application of risk management in all of Elevates acquisition channels;
- Efficiently apply data mining methodologies to minimize credit/fraud losses maximize response and approval rates and develop methods to enhance profitability of Elevate products;
- Successfully implement scoring models on multiple decision platforms Including cloud.
- Provide knowledge insight and guidance of third party data providers such as Transunion Clarity/Experian and Equifax to include knowledge of products and data available products to purchase or discontinue cost benefit analysis of retrospective analysis effective use of variables data dictionaries as well as advantages and limitations;
- Maintain clear detailed model documentation on our Wiki Server by leveraging reproducible research technologies such as Jupyter Notebook Rmarkdown etc.
Experience and Education
- Masters degree in highly quantitative field (Statistics Economics Mathematics Engineering or other quantitativelyoriented degree). Ph.D. preferred.
- At least six years of experience in Data Science or Modeling for consumer lending two years of leadership experience in highly quantitative teams; Professional experience waived with at least four years of Data Science or Modeling experience and Ph.D. Degree in highly quantitative field (Statistics Economics Mathematics or other quantitatively oriented degree)
- Superior communication skills for communication with Risk Management peers and executive team
- Proven experience working in fastpaced environment with everchanging demands
- Demonstrated proficiency with advanced statistical modeling and substantial experience with machine learning techniques (e.g. Random Forest Gradient Boosting LASSO Elastic Net etc). Knowledge various penalized regression and classification methods a plus;
- Strong data skills with ability to conduct substantial data munging/engineering.
- Proficiency with Linux R Python or Java; expertise with versioning software (e.g. Git) big data solutions and data processing frameworks (e.g. Spark Hadoop);
- Experience with database technologies such as Snowflakes Hadoop Apache Hive/Impala Spark NoSQL JSON & XML parsing etc.
- Proficiency of contemporary supervised and unsupervised data mining techniques a plus
California Employee Privacy Policy Family & Medical Leave Act Employee Polygraph Protection Act EVerify
#LIBJ1
Required Experience:
Manager
Employment Type
Full-Time
