BambooHR
Sr. Data Scientist
Job Description
About Us
Our mission is simple: we want to set people free to do meaningful work. People love our software—and it turns out that people love working here too. We’ve been recognized as a “Best Company to Work For” and we’re proud of our team for creating software that makes an impact in the lives of HR pros and employees all over the world.
About Us
Our mission is simple: we want to set people free to do meaningful work. People love our software—and it turns out that people love working here too. We’ve been recognized as a “Best Company to Work For” and we’re proud of our team for creating software that makes an impact in the lives of HR pros and employees all over the world.
Our AI team is expanding. From prototypes to production features, we’re building logic to harness data to unleash new product possibilities and accelerate our business. Through our mission we can help millions of users in growing businesses achieve more with smart insights and interactions.
What You’ll Do
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.
- Train and tune machine learning models
- Explore data and conduct feature engineering
- Apply natural language processing to understand text and aid in conversational interfaces
- Build optimal algorithms with LLMs and retrieval augmented generation
- Collaborate with data engineers, AI software engineers, data analysts, and stakeholders
- Evaluate emerging techniques by understanding academic papers and new technical tools, and by conducting labs, prototypes, and explorations
- Monitor and optimize production models
What You Need to Get the Job Done
- 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
Beyond the technical skills, we’re looking for individuals who are:
- Clear communicators (verbal and written)
- Analytical and perceptive of patterns
- Strong in understanding underlying math and algorithms
- Creative in finding relevant and novel approaches
- Productive in a dynamic setting
If you love to learn, you’ll be in good company. You’ll likely have an advanced degree in a quantitative field, or a related Bachelor’s and additional experience working with data.
What You’ll Love About Us
- Great Company Culture. We’ve been recognized by multiple organizations like Inc, Salt Lake Tribune, Glassdoor, & Comparably for our great workplace culture.
- Make an Impact. We care about your individuality by giving you freedom to grow and create within the company, regardless of your position.
- Rest and Relaxation. 4 weeks paid time off, 11 paid holidays, and we pay you to go on vacation (ask us about this)!
- Health Benefits. Medical with HSA and FSA options, dental, and vision.
BambooHR is An Equal Opportunity Employer–M/F/D/V
Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.
For information on our Privacy Policy, click here.
