As a Senior Data Scientist, you’ll apply current machine learning and AI algorithms to derive data insights and deliver intelligent services. This involves gaining a deeper understanding of relevant customer needs and business domains, exploring and improving available data, selecting appropriate approaches, and constantly improving models.
Requirements
- 5+ years of professional experience as a data scientist, typically coding in Python with relevant libraries
- Demonstrated ability to select and implement ML algorithms, shape data into useful input features, and choose and optimize appropriate model performance metrics
- Proficiency with NLP, text processing, LLMs / generative models, and conversational UX
- Mathematical thinking foundation and orientation
- Skill working with data sources of various types using tools such as SQL, pandas, Spark
- Expertise designing and building deep learning architectures and models
- Ability to work well independently and with colleagues
- Skill collaborating using cloud-based tooling, git, notebook systems, and ML workflows
- A strong contender will also demonstrate abilities to: Deeply understand each problem, available data, and potential methods; Monitor, learn, and apply emerging techniques; Write high quality deployable code; Wisely select approaches and evaluation methods; Have productive interactions that lift the team and stakeholders
Benefits
- Comprehensive health, life, and disability insurance
- Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off
- 401k plans with up to 6% company match
- Paid-Paid Vacation bonus
- EAP through Headspace