Data Scientist - People Analytics

Industry: Finance & Insurance

  •  

Less than 5 years

Posted 61 days ago

This job is no longer available.

As the People Analytics Data Scientist, you will extract, transform and combine all relevant employee life cycle data with the goal of discovering hidden insight, which in turn can improve business processes, address a problem or result in cost savings.


  • In this role, you will build moderate statistical models and then recommend ways to apply the data.Work collaboratively with People Analytics Consultant, Leadership and others to evaluate HR business use cases
  • Own delivery of moderately sized data science and engineering projects
  • Assist in the development and testing of hypotheses across all employee life cycle data sets
  • Participate in requirements gathering sessions with business and technical staff to distill technical requirement from business requests
  • Define and implement integrated data models, allowing integration of data from multiple sources
  • Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation
  • Define and implement data stores based on system requirements and consumer requirements
  • Design and develop models to understand and solve complex business solutions using a variety of methods including data mining, statistical analysis, predictive modeling and analysis, stochastic modeling, pattern recognition, probability analysis, and network analysis
  • Design and implement production models leveraging technologies such as SAS, Python, and R
  • Leverage existing data sets and engineer new data sets including development of SQL queries, data integration and resolution of data quality issues
  • Apply conceptual understanding of Big Data systems to data set engineering and analytic model implementation
  • Participate in reviews of analytic models and algorithms
  • Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups
  • Document and test analytic processes including performance and thorough data validation and verification

Hiring Requirements


  • Master's Degree in Data Science, Applied Mathematics, Computer science, Statistics, Biostatistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization, or equivalent combination of transferrable experience and education
  • 3 year of the following:
  • SQL programming skills
  • Experience with design and implementation of analytic models and methodologies for new applications
  • Programming experience in Python, R or other programming language
  • Demonstrated experience working with large and complex data sets
  • Knowledge of machine learning, statistics, optimization or related field

Hiring Preferences


  • Experience with Human Resources and/or People data
  • Experience with HCM tools such as Workday
  • Experience with analytical packages such as SAS, SPSS, or Matlab
  • Experience preparing data for analysis
  • Experience with Hadoop, Hive, and/or other Big Data technologies
  • Experience working in AWS and/or using Linux based systems