Role overview
Summary:
The Senior Data Scientist contributes to building and developing the organization’s data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.
What you'll work on
- Performs advanced analytics methods to extract value from business data.
- Performs 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.
- Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.
- Influences product teams through presentation of data-based recommendations.
- Evangelizes best practices to analytics and products teams.
- Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.
- Performs other duties as assigned.
What we're looking for
- Up-to-date knowledge of machine learning and data analytics tools and techniques
- Strong knowledge in predictive modeling methodology
- Experienced at leveraging both structured and unstructured data sources
- Willingness and ability to learn new technologies on the job
- Demonstrated ability to communicate complex results to technical and non-technical audiences
- Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
- Strategic, intellectually curious thinker with focus on outcomes
- Professional image with the ability to form relationships across functions
- Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
- Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
- Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
- Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
- Financial Services background
Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)
Yes
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Machine Learning Deep Learning Data Science