Data Scientist
Fieldguide172,000 - 203,000 USD/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries
Requirements
Candidates should possess a Bachelor’s degree in Data Science, Statistics, Human Resources, Business Analytics, or a related field; a Master’s degree is preferred. They must have proven experience as a Data Scientist, ideally within the HR domain, and demonstrate proficiency in data analysis tools and databases such as SQL and Snowflake. Experience with data visualization tools like Tableau or Power BI is required, along with a strong understanding of HR metrics and analytics, and the ability to translate data insights into actionable recommendations. Knowledge of HR systems like Workday and data management practices is also necessary.
Responsibilities
The People Team Data Scientist will define People Team data problems, build a Data Governance Model, audit data, and create a Data Dictionary to ensure data quality and accessibility. They will utilize the Dataiku Data Science Solution (DSS) platform to explore data, conduct analysis, build predictive models, and identify key organizational health metrics across the employee lifecycle. This role involves collaborating with internal functions and teams to enhance decision-making processes, optimize employee engagement, and drive strategic initiatives, maximizing GenAI capabilities for ease of access and reduced friction.
Skills
Data Science
Analytics
Reporting
Data Governance
Data Management
Collaboration
AI Platforms
Dataiku DSS
Dataiku
AI solutions for operationalizing business processes
About Dataiku
Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.
Key Metrics
New York City, New YorkHeadquarters
2013Year Founded
$823.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees