Sr. Data Scientist
Posted on 4/2/2024
BambooHR

1,001-5,000 employees

Cloud-based HR management software for SMEs
Company Overview
BambooHR is a leading HR software provider that offers an intuitive, cloud-based system, enabling HR teams to be more strategic and efficient in managing essential employee information. The company's culture is characterized by helpfulness, kindness, and a focus on human factors, creating a positive work environment. Their competitive edge lies in their ability to consolidate multiple systems into one, providing a seamless experience for employees and significantly improving HR task completion rates.
Data & Analytics

Company Stage

N/A

Total Funding

N/A

Founded

2008

Headquarters

Lindon, Utah

Growth & Insights
Headcount

6 month growth

8%

1 year growth

9%

2 year growth

25%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Git
Data Structures & Algorithms
Apache Spark
SQL
Pandas
CategoriesNew
Data Science
Data & Analytics
Requirements
  • 5+ years of professional experience as a data scientist
  • 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
Responsibilities
  • 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