Data Scientist12199Remote

Shuvel Digital; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

Join a dynamic and innovative company that is at the forefront of data analytics! As a key player in this role, you will enhance SQL and Non-SQL based analytics processes, unlocking insights from complex datasets. Collaborate with a talented team of data engineers and machine learning experts to develop impactful solutions utilizing both on-premises and Microsoft Azure Cloud infrastructures. If you have a passion for data and a knack for visualization, this is your chance to make a significant impact in a collaborative environment focused on delivering exceptional data-driven insights. Don't miss out on this exciting opportunity to elevate your career in the data analytics field!

Qualifications

• 5+ years of experience in Data Analysis and SQL/Python Programming.
• Strong understanding of database design and data mining concepts.

Responsibilities

• Build and enhance data analytics processes for large scale data.
• Create and maintain reporting dashboards to deliver insights.

Skills

Data Analysis

SQL Programming

Python Programming

Power BI

Plotly Enterprise

Data Visualization

ETL Processes

Cloud Computing

Machine Learning

Database Design

Education

Bachelor's degree in Computer Science, Mathematics, or Statistics

Advanced degree in relevant field

Tools

Microsoft Azure

Jupyter Notebook

Visual Studio Code

MongoDB

Cassandra

Job description

Responsibility:

• Build and enhance Non-SQL/SQL based data analytics processes through all phases of development, implementation, and upkeep.
• Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
• Create and maintain reporting dashboards to deliver data insights to a wide range of consumers.
• Partner with a cross-functional team of data engineers, machine learning engineers, and data visualizers to deliver projects.
• Develop data science solutions utilizing both on-premises and Microsoft Azure Cloud Computing Infrastructures.
• Perform other duties as assigned.

Qualifications:

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent work experience).
• Experience with cloud computing infrastructure.
• Minimum of 5 years of experience in Data Analysis, SQL/Python Programming, and Plotly Enterprise or Power BI development.
• Strong understanding of database design, data mining, and data modeling concepts.
• Experience with ETL processes and data integration techniques.
• Proven ability to develop effective data visualizations using Power BI and/or Plotly Enterprise.
• Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Desired:

• Advanced degree in in computer science, mathematics, physics, statistics, or related field.
• Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages/frameworks appropriate for large data analysis.
• Experience with supervised/unsupervised machine learning model development in areas of clustering, classification and/or regression.
• Experience with No-SQL databases such as MongoDB and Cassandra
• Experience with API end point connection and configuration for complex data pipelines.
• Experience establishing data governance principals as part of the data ingestion process.
• Experience working with Agile principals utilizing Azure DevOps or similar systems.
• Experience working in the Financial Industry