Data Scientist (HR Data)
Role details
Job location
Tech stack
Job description
Seeking a Data Scientist to help produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets., * Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
- Generate and test hypotheses and analyze and interpret the results of product experiments.
- Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
- Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
Requirements
- 0-3 years experience in either programming languages such as Python and/or R, big data tools such as Hadoop, and data visualization tools such as Tableau.
- 0-3 years experience working with large datasets.
- The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
- Knowledge of HR data and how to work with it.
- Proactive thinker - be able to work with unstructured data, working with different teams, surveys and systems to pull info for analysis.
Education
BS in Computer Science or relevant field
Benefits & conditions
The estimated pay range for this position is USD $45.00/hr - USD $53.00/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.