Bright Horizons Family Solutions

Data Scientist

Bright Horizons Family Solutions • $115K — $125K *
Newton, MA 02458In-Person
Enterprise Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Data Science, Computer Science, or a related field.
  • Three years of data science experience, including specific experience with machine learning techniques and Generative AI.
  • Two years of experience with Snowflake, SQL, Python, DataRobot, and Microsoft Azure Studio for data analysis.
  • Proficient in developing multivariate and multi-series forecasting models and Retrieval-Augmented Generation (RAG) models for automation.
  • Experience in handling large datasets, data wrangling, and complex dimensional data models.

Responsibilities

  • Support Enterprise Information Management by analyzing complex datasets using advanced statistical and machine learning techniques.
  • Lead data projects independently and provide expertise to other teams on model and algorithm creation.
  • Build and customize statistical models for predicting key business metrics.
  • Mine and analyze data to enhance analytical product development and marketing strategies.
  • Evaluate and recommend analytics tools to improve learning and analytics processes.
  • Create automated anomaly detection systems and continuously monitor their performance.
  • Collaborate with stakeholders to identify data-driven business opportunities.

Benefits

  • Opportunities for professional growth and development.
  • Collaborative work environment with cross-team support.
  • Access to advanced analytical tools and technologies.
  • Flexible work arrangements.
Full Job Description
Data Scientist

Newton, MA

Responsibilities:
  • Support the Enterprise Information Management practice. Analyze complex datasets and apply advanced statistical and machine learning techniques to achieve project goals.
  • Lead projects independently and assist other data teams across the organization by providing expert guidance in creating models and machine learning algorithms.
  • Build custom statistical models, such as linear or logistic regression, pattern recognition and predictive models that predict various business metrics.
  • Match pre-existing models (such as random forest) to various problems including segmentation analysis, identifying outliers, etc. Mine and analyze data from company databases to drive optimization and improvement of analytical product development, marketing techniques and business strategies.
  • 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.
  • Create automated anomaly detection systems and constant tracking of its performance.
  • Enhance data collection procedures to include information that is relevant for building analytic systems.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business outcomes.
  • Conduct ad-hoc, what-if analysis and summarize and present results for technical and non-technical audiences.
  • Use statistical computer functions in languages (R, Python, SQL, etc.) to manipulate data and draw insights from variety of data sets.
  • Utilize a variety of machine learning techniques (Forecasting, Benchmarking, Clustering, Decision Tree Learning, etc.).
  • Utilize advanced statistical techniques and concepts including regression, sampling, outliers detection, linear and multiple regression, time series forecasting, exponential smoothing.
  • Work with large datasets, data wrangling and complex dimensional data models.
  • Model and prepare data inputs for visualization and build analytical visualization using Qliksense/Tableau/PowerBI.


Requirements:
  • Bachelor's degree in Data Science, Computer Science, or related field and three years data science experience.
  • Experience must include two years each of the following: Machine learning techniques and implementation with Generative AI; Snowflake, SQL, Python, DataRobot, and Microsoft Azure Studio for data analysis; developing multivariate and multi-series forecasting models; developing Retrieval-Augmented Generation (RAG) and generative AI models for automation; applying statistical techniques and concepts; working with large datasets, data wrangling and complex dimensional data models; modeling/preparing of data inputs for visualization and building analytical visualization using Qliksense/Tableau/PowerBI. Experience may be gained concurrently.


Salary: $115,000- $125,000

About Bright Horizons Family Solutions

Bright Horizons Family Solutions is an American company that provides child care and early education services. The company was founded in 1986 and is headquartered in Massachusetts, USA. Bright Horizons operates more than 1,000 child care centers in the United States, Canada, Europe, and India. The company's services include infant care, toddler care, preschool, kindergarten, and before- and after-school programs. Bright Horizons also provides employer-sponsored child care and educational advisory services. The company has won numerous awards for its services, including being named one of the Best Workplaces for Women by Fortune magazine.
Learn more about Bright Horizons Family Solutions
Size
25,800 employees
Market Cap
$3.8 billion
Industry
Education, Government & Non-Profit
Net Income
$26.9 million
5 Year Trend
+2.3%
Revenue
$1.5 billion
NASDAQ
BFAM
* Ladders Estimates

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