Data Scientist – ML & Cloud Analytics (Remote)

Savers; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Onboarding and training

Health plans

Life insurance

401k with matching

Paid time off

Mental health services

Job summary

Savers, a remote IT role in the United States, seeks a Data Scientist to design, develop, and deploy advanced analytics using Microsoft Fabric. You will blend data science, data engineering, and cloud analytics to turn enterprise data into actionable insights driving business decisions.

The role requires 5+ years in data science, strong Python/SQL, and experience deploying ML in the cloud. Excellent communication and cross‑functional collaboration are essential for success in a fast-growing team.

Qualifications

• Bachelor’s degree in data-related field and 5+ years of hands-on data science experience.
• Experience delivering ML models in public cloud (AWS/Azure).
• Strong Python programming and SQL skills.

Responsibilities

• Design, develop, and deploy advanced analytics and ML solutions using Microsoft Fabric.
• Build predictive, classification, forecasting, and anomaly detection models.
• Perform exploratory data analysis and communicate findings to stakeholders.
• Implement MLOps for model versioning, monitoring, and lifecycle management.
• Design and optimize data pipelines using Data Factory and Spark.
• Ensure data quality, governance, security, and compliance.

Skills

Python/PySpark

SQL

Machine Learning

Statistical analysis

Time series forecasting

MLOps

Communication

Cross-functional collaboration

Education

Bachelor’s degree in Data Science / CS / Statistics

Tools

Data Factory

Spark

Azure

TensorFlow

PyTorch

Scikit-learn

Job description

Savers, a remote IT role in the United States, seeks a Data Scientist to design, develop, and deploy advanced analytics using Microsoft Fabric. You will blend data science, data engineering, and cloud analytics to turn enterprise data into actionable insights driving business decisions.

The role requires 5+ years in data science, strong Python/SQL, and experience deploying ML in the cloud. Excellent communication and cross‑functional collaboration are essential for success in a fast-growing team.