The organization is looking to advance its data science and analytics capabilities by building and developing its data infrastructure and providing senior leadership with insights, management reports, and analysis for decision-making processes.
Requirements
- Experience with R, RSTudio, Python, SAS, SQL, NoSQL
- Up-to-date knowledge of machine learning and data analytics tools and techniques
- Knowledge in predictive modeling methodology
- Experienced at leveraging both structured and unstructured data sources
- Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
- Work and/or educational experience with big data analysis tools and techniques
- Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
Responsibilities
- Ability to use advanced analytics methods to extract value from business data.
- Ability to perform large-scale experimentation and build data-driven models to answer business questions.
- Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
- Determines requirements that will be used to train and evolve deep learning models and algorithms.
- Influences product teams through presentation of data-based recommendations.
Other
- Master’s degree in computer science, statistics, economics or related fields with 1+ years' experience in relevant field OR bachelor’s degree in computer science, statistics, economics or related fields and 5 years of relevant work experience.
- Willingness and ability to learn new technologies on the job
- Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
- Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
- Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
