Senior Data Scientist analyzing data to drive customer success and business growth at Adobe. Conducting statistical analyses and collaborating with multi - functional teams for product enhancement.
About the role
- Data Scientist developing analytical solutions for USAA's military community. Collaborating on complex data analysis and machine learning model development.
Responsibilities
- Partner with other analysts across the organization to fully define business problems and research questions.
- Support SME's on cross functional matrixed teams to solve highly complex work critical to the organization.
- Integrate and extract relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.
- Conduct advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
- Support Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.
- Work with IT to research architecture for new products, services, and features.
- Develop algorithms and supporting code such that research efforts are based on the highest quality data.
- Translate complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
Requirements
- Bachelor’s degree in Business Analytics, Computer Science, Applied Mathematics, Quantitative Economics, Statistics or related field and 6 years of progressive, post-baccalaureate experience in job offered or in a related occupation
- alternatively, a Master's degree in Business Analytics, Computer Science, Applied Mathematics, Quantitative Economics, Statistics or related field and 4 years of experience in job offered or in a related occupation
- developing models using Machine Learning techniques for Prediction, Classification and Segmentation
- Regression with regularization; Tree based Ensemble (Bagging- Random Forest, Boosting- CatBoost, AdaBoost, and XGBoost);
- Gaussian Mixture models;
- K-means/ KNN;
- Neural Network and Natural Language Processing (NLP) based models;
- End-to-end model development process
- Coding languages & analytical tools for ML model development such as Python, PySpark and AWS Sagemaker, Google Cloud Platform, Microsoft Azure big data environments, and Git
- Hadoop architecture; Snowflake, Hive, Oracle, IBM Netezza, and MySQL
- Tableau and Power BI
- grasp of mathematics in calculus, linear algebra, probability, and statistics
- coding SQL queries
- translating product, business requirements into approach statements, project plans and communicating results of advanced analytic solutions
- deploying Machine Learning, statistical models into production environments and monitoring the models in production
Benefits
- 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
- various wellness programs
- career path planning and continuing education
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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