Data Science Engineer

Quick Facts

• Role: Data Science Engineer (Microsoft Fabric focus)

• Location: US-Remote

• Compensation: $111,399 - $167,098

Description

Design, develop, and deploy advanced analytics and machine learning solutions using Microsoft Fabric’s unified analytics platform. You’ll combine data science, data engineering, and cloud analytics to turn enterprise data into actionable insights that drive business decisions.

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 for model versioning, monitoring, and lifecycle management

• Use Fabric components such as OneLake, Power BI, and Real-time Analytics

• Design and optimize data pipelines with Data Factory and Spark

• Work with Lakehouse and Warehouse architectures

• Perform data cleansing, transformation, and feature engineering

• Ensure data quality, governance, security, and compliance

• Communicate findings to technical and business stakeholders and support development standards and documentation

Requirements

• Strong statistical analysis and hypothesis testing skills

• Experience developing and deploying predictive modeling and machine learning

• Feature engineering and model optimization experience

• Time series forecasting and advanced analytics experience

• Successful delivery of products hosted in public cloud (e.g., AWS, Azure)

• Proficiency in Python, PySpark, SQL, and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch, etc.)

• Strong organizational, written, and oral communication skills

• Ability to collaborate cross-functionally and build rapport with 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

Benefits

• Comprehensive onboarding and training

• Bundled health plans (medical, Rx, dental, vision)

• Company-paid life insurance

• Programs including smoking cessation and diabetes management coaching; on-demand care options

• 401(k) with generous company matching

• Paid time off

• Mental health services