Salesforce Developer

• Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.
• Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.
• Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
• Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
• Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences.
• Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.
• Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.
• Translates sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.
• Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation.
• Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
• Maintains expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
• Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.
• Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.
• Ensures risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures., Dallas, TXHybrid Stata MATLAB Economics Leadership Consulting Algorithms Statistics TensorFlow Mathematics Scalability Forecasting A/B Testing Data Science Econometrics Data Analysis Apple Numbers SAS (Software) Computer Vision Choice Modeling Machine Learning Model Validation Data Engineering Applied Economics Business Problems Influencing Skills Advanced Analytics Business Strategies Operations Research Recommender Systems Applied Mathematics Statistical Modeling Econometric Modeling Relationship Building NumPy (Python Package) Descriptive Statistics Technical Documentation R (Programming Language) Machine Learning Methods SQL (Programming Language) General Scientific Knowledge Business Continuity Planning Python (Programming Language) Natural Language Processing (NLP) +0 Data Scientist Lead - Model Development USAA Plano, TXRemote JSON NoSQL Dbscan Honesty Finance Research Economics Operations

NoSQL Dbscan Honesty Writing Finance Tooling Xgboost Research LightGBM Economics Automation Mentorship Innovation Algorithms Statistics Mathematics Scalability Forecasting Market Data Persistence Data Science Communication Risk Reduction Graph Database Risk Management Motion Planning Fraud Detection Query Languages Computer Science Machine Learning Data Engineering Ensemble Methods Actuarial Science Unstructured Data Business Problems Advanced Analytics Business Valuation K-Means Clustering Data Preprocessing Logistic Regression Time Off Management Advanced Mathematics Predictive Analytics Model Risk Management Decision Tree Learning Support Vector Machine Artificial Intelligence Random Forest Algorithm R (Programming Language) Software Technical Review SQL (Programming Language) Linear Discriminant Analysis Python (Programming Language) Support Vector Machines (SVM) Extensible Markup Language (XML), * Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.

• 6 years of experience in a predictive analytics or data analysis
• 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
• 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
• Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency).
• Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc.
• Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
• Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
• Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
• Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost.
• Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
• Experience guiding and mentoring junior technical staff in business interactions and model building.
• Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.

What sets you apart:

• US military experience through military service or a military spouse/domestic partner
• Graduate degree in a quantitative subject area
• Over 4 years of experience with model development or other advanced fraud detection algorithms
• Over 3 years of experience with graph databases and graph solutions
• Experience in fraud/financial crimes model development, Management Automation Mentorship Algorithms Statistics Mathematics Forecasting Peer Review Market Data Persistence Data Science Communication Data Analysis Business Acumen Risk Management Motion Planning Query Languages Computer Science Machine Learning Consumer Lending Data Engineering Unstructured Data Business Problems Project Management Advanced Analytics Business Valuation K-Means Clustering Data Preprocessing Time Off Management Statistical Modeling Advanced Mathematics Predictive Analytics Model Risk Management Decision Tree Learning Support Vector Machine Artificial Intelligence R (Programming Language) Hibernate Query Language Software Technical Review SQL (Programming Language) Project Portfolio Management Linear Discriminant Analysis Python (Programming Language) Support Vector Machines (SVM) Extensible Markup Language (XML) +0

Google Advanced Data Analytics, Honesty Writing Finance Tooling Research Marketing Economics Automation Mentorship Governance Algorithms Statistics Mathematics Scalability Forecasting Credit Risk Market Data Persistence Data Science Communication Data Analysis Risk Reduction Risk Management Motion Planning Query Languages Computer Science Machine Learning Data Engineering Actuarial Science Unstructured Data Business Problems Advanced Analytics Business Valuation K-Means Clustering Data Preprocessing Logistic Regression Time Off Management Advanced Mathematics Predictive Analytics Model Risk Management Decision Tree Learning Support Vector Machine Artificial Intelligence R (Programming Language) Hibernate Query Language Software Technical Review SQL (Programming Language) Linear Discriminant Analysis Python (Programming Language) Support Vector Machines (SVM) Milestones (Project Management) Extensible Markup Language (XML) +0

Google Advanced Data Analytics

Compensation: The salary range for this position is: $143,320- $257,970.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.