Data Scientist

• 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.

• 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

At Bright Horizons, you’re more than your job title -you’re the difference. Whether you’re nurturing a child’s first steps or supporting the systems behind the scenes, your work creates real impact. We’re a community that celebrates individuality, invests in your growth, and supports your whole self. Because when you thrive, so do the children, families, and clients we serve. Join us and help build a brighter future - for yourself and for others.