Data Scientist

About Us

MyRemoteTeam, Inc is a fast-growing distributed workforce enabler, helping companies scale with top global talent. We empower businesses by providing world-class software engineers, operations support, and infrastructure to help them grow faster and better.

Job Opening: Data Scientist (ETL Engineer – Azure, Power BI, Python)

Client:

Mandatory Skills

• ETL Engineering
• Azure Synapse Analytics
• Power BI
• Python

Role Summary

Data Scientist

Key Responsibilities

Project Delivery & Collaboration

• Deliver advanced analytics and data science projects within scope, time, and budget.
• Collaborate with Data & ML Engineers to understand data and model requirements.
• Translate business needs into scalable technical solutions.

Data Science & Analytics

• Develop solutions using Python, statistics, and machine learning techniques.
• Perform end-to-end pipeline management: problem scoping, data preparation, modeling, visualization, monitoring, and maintenance.
• Build predictive models, time-series forecasts, regression/classification solutions.

Visualization & Reporting

• Design interactive dashboards in

  Power BI, Python Dash (Plotly), or Flask

  .
• Create data stories for business users through effective visualization.

ETL & Data Management

• Build and maintain ETL pipelines in

  SAP Data Sphere

  and integrate with Power BI / SAP Analytics Cloud.
• Manage data procurement, processing, and integration strategies.

Technology & Innovation

• Work with

  Azure Synapse Analytics, Azure ML, and CI/CD pipelines

  .
• Troubleshoot and monitor data platform infrastructure (alerts, logs, dashboards).
• Explore and apply emerging technologies like

  GenAI and Agentic AI

  .

Technical Expertise Required

• Strong skills in

  Python

  and libraries: Pandas, PySpark, Scikit-Learn, TensorFlow, Keras, PyTorch, etc.
• Solid understanding of

  Statistics & Probability

  .
• Hands-on experience in

  Finance domain projects

  .
• Experience with

  SAP Data Sphere, Power BI, and SAC

  .
• Working knowledge of

  DevOps/MLOps in Azure

  .
• Strong problem-solving, analytical, and communication skills.

Qualifications

• Bachelor’s/Master’s in Computer Science or related field.
• 3–5 years of professional experience.
• Minimum 3 years in

  Data Science / ML / AI

  .
• At least 2 years in

  Finance domain (preferred)

  .
• Proven experience with

  ETL pipelines and dashboarding

  .

Location:

Experience:

Domain: