Bright Horizons is seeking an experienced Data Scientist to join our HR Insights & Analytics Team. This role will be instrumental in leading our predictive analytics function within Human Resources. You will work closely with HR leaders to understand their data needs and uncover insights to drive strategic HR decisions.
What you will be doing in the role:
Develop and implement statistical models and machine learning algorithms to analyze employee data and support data-driven decision making across HR and the business.
Use predictive analytics to forecast workforce changes, predict future employee behaviors, and inform HR strategies.
Mine and analyze data from multiple structured and unstructured sources to drive optimization and improvement of HR and business strategies.
Create data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.
Collaborate with HR COE’s to identify key performance indicators and metrics for talent acquisition, retention, and development based on statistical models.
Build and implement predictive data models within HR existing processes and workflows.
Present findings and recommendations to senior leadership in a clear and compelling manner; build applicable visualizations to help “tell the story”
Ensure compliance with data privacy regulations and best practices.
Evaluate and recommend products and tools to enable accelerated learning and analytics.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Enhance data collection procedures to include information that is relevant for building analytic systems.
What we hope you will bring to the role:
Required – Bachelor’s Degree in Data Science, Statistics or a related field, data science certification a plus.
Required – 5 years of experience as a data scientist on an HR or People Analytics team.
Would relevant experience be considered in lieu of applicable degree?
Yes – 3 additional years
Additional Job Requirements
Proficiency in statistical software (e.g., R, Python) and data visualization tools (e.g., Qliksense, Tableau, Power BI) to manipulate data and draw insights from variety of data sets.
Strong understanding of machine learning techniques (Forecasting, Benchmarking, Clustering, Decision Tree Learning, etc.) and their application in workforce analytics.
Knowledge of advanced statistical techniques and concepts – Regression, Sampling, Outliers Detection, Linear & Multiple Regression, Time series forecasting, Exponential Smoothing etc.
Experience working with large datasets, data wrangling and building complex dimensional data models.
Excellent communication and presentation skills, with the ability to translate complex data into actionable insights.
A collaborative team player with a problem-solving mindset.
The range of compensation listed here or that may be discussed in the interview process is what Bright Horizons in good faith anticipates offering for this job opening. Actual compensation offers will depend on a variety of factors including experience, education and training, certifications, geography, and other relevant business or organizational factors.
Our home office employees support all facets of our business — and no matter which department you join, you’ll be part of a passionate team doing work that makes a difference in the lives of children and families.
Our people are the heart of our company. Because we’re as committed to our own employees as we are to the clients we serve, our collaborative workplaces are designed to grow careers and support personal lives. Here, you’ll find traditional perks (health insurance, 401(k), PTO, and flex spending) plus childcare discounts, education assistance, and so much more. Join us to experience how we support our people to realize their passion, possibilities, and purpose both at work and at home. All in a workplace where you can be you. Come build a brighter future with us.
HAVING TECHNICAL ISSUES WITH YOUR APPLICATION?
Contact us at bhrecruit@brighthorizons.com or 855-877-6866
Bright Horizons is dedicated to creating a workforce that promotes and supports diversity and inclusion. We provide equal employment opportunities to all individuals without discrimination. Bright Horizons complies with the laws and regulations set forth in the following EEO is the Law Poster: EEO – English and EEO – Spanish along with information on the Family and Medical Leave Act (FMLA) and Employee Polygraph Protection Act (EPPA).
Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the recruitment helpdesk at 855-877-6866 or bhrecruit@brighthorizons.com. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
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