The Role
Leads advanced analytics and machine learning initiatives, including predictive, forecasting, classification, and recommendation models. Analyzes complex datasets, deploys and monitors production models, and partners with engineering teams to build scalable data solutions. Presents insights to stakeholders, drives business decisions, and mentors junior data scientists and analysts.
Summary Generated by Built In
Our client is seeking a Senior Data Scientist to lead the development of advanced analytics, machine learning models, and data-driven solutions that support strategic business decision-making. The successful candidate will work closely with business stakeholders, engineering teams, and leadership to extract meaningful insights from complex datasets.
RequirementsKey Responsibilities
- Design and implement advanced predictive models.
- Develop machine learning and statistical solutions.
- Analyse large and complex datasets.
- Build forecasting, classification, and recommendation models.
- Drive data-driven decision-making across business functions.
- Present insights and recommendations to stakeholders.
- Mentor junior Data Scientists and Analysts.
- Collaborate with Data Engineering teams to build scalable data solutions.
- Deploy and monitor machine learning models in production.
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field.
- Master's Degree preferred.
- 5+ years of Data Science experience.
- Proven experience delivering machine learning solutions in production environments.
Essential
- Python
- SQL
- Machine Learning
- Statistics
- Predictive Analytics
- Data Modelling
- Data Visualisation
- Feature Engineering
- Python
- Pandas
- NumPy
- Scikit-Learn
- TensorFlow or PyTorch
- SQL Server
- PostgreSQL
- Power BI
- Tableau
- Jupyter Notebooks
- AWS
- Azure
- Google Cloud Platform
- Generative AI
- Natural Language Processing (NLP)
- MLOps
- Data Engineering exposure
- Big Data technologies
- Spark
- Databricks
- Advanced Analytical Skills
- Business Acumen
- Problem Solving
- Communication Skills
- Leadership & Mentoring
- Stakeholder Management
- AWS Certified Machine Learning
- Microsoft Azure Data Scientist Associate
- Google Professional Machine Learning Engineer
- Databricks Certifications
- Delivery of business value through analytics.
- Accuracy and performance of predictive models.
- Stakeholder satisfaction.
- Successful deployment of production-ready solutions.
- Continuous improvement of data-driven capabilities.
Skills Required
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field
- 5+ years of data science experience
- Proven experience delivering machine learning solutions in production environments
- Master's degree in a related field
- Experience with Python, SQL, machine learning, statistics, predictive analytics, data modeling, data visualization, and feature engineering
- Experience with cloud platforms including AWS, Azure, or Google Cloud Platform
- Experience with Generative AI, NLP, MLOps, data engineering, big data technologies, Spark, or Databricks
- AWS Certified Machine Learning, Microsoft Azure Data Scientist Associate, Google Professional Machine Learning Engineer, or Databricks certification
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The Company
What We Do
BluePearl is a U.S. network of specialty and emergency veterinary hospitals providing advanced medical care for pets, including innovative procedures, diagnostics, surgery, and other specialized services in communities across the United States. Its mission is to deliver exceptional care while advancing veterinary medicine and honoring the human-animal bond. Founded in 1996, BluePearl operates more than 100 hospitals and is part of Mars Veterinary Health.
