Data Science Engineer

Savers | Value Village is a purpose-driven thrift retailer focused on reuse and community impact. The Data Science Engineer designs, develops, and deploys advanced analytics and machine learning solutions using Microsoft Fabric, while building data pipelines, ensuring data quality and governance, and communicating insights to stakeholders.

Responsibilities:

• Develop, train, evaluate, and deploy machine learning models using Microsoft Fabric Data Science experiences
• Build predictive, classification, forecasting, recommendation, and anomaly detection models
• Perform exploratory data analysis (EDA) and statistical analysis to identify trends and business opportunities
• Implement MLOps practices for model versioning, monitoring, and lifecycle management
• Work closely with platform engineers, business stakeholders and solution managers from inception through delivery
• Utilize Fabric components, i.e., OneLake, Power BI, Real-time Analytics, etc
• Design and optimize data pipelines using Data Factory and Spark
• Work with Lakehouse and Warehouse architecture
• Perform data cleansing, transformation, and feature engineering
• Ensure data quality, governance, security, and compliance
• Transfers knowledge to peers and team members as appropriate
• Communicate analytical findings to technical and business stakeholders
• Helps in developing and documenting Software Development standards and practices
• Understands the Software Development Lifecycle; helps ensure that application enhancements are developed using Saver’s development processes that ensure a high degree of software quality

Requirements:

• Strong statistical analysis and hypothesis testing skills
• Experience developing and deploying predictive modeling and machine learning
• Feature engineering and model optimization
• Experience with time series forecasting and advanced analytics
• Successful past delivery of products hosted in public cloud, e.g., AWS, Azure, etc
• Proficiency in Python, PySpark, SQL, Machine Learning frameworks (Scikit-learn, TensorFlow, PyTorch, etc.)
• Strong organizational skills
• Excellent written and oral communication skills
• Proven ability to effectively collaborate cross-functionally
• Able to quickly establish rapport with both technical and non-technical stakeholders
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field, or equivalent experience
• 5+ years of hands-on experience in data science
• Ability to lift and carry up to 25 lbs
• Ability to express or exchange ideas by means of the spoken word
• Ability to receive detailed information through verbal communication, and to make the discriminations in sound
• Ability to receive detailed information visually through written communication (both physical and electronic)
• Business / Retail Operations background preferred