Data Scientist (1)

MTS Moose Tech Solutions; Vienna (VA); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading technology solutions provider is seeking an experienced Data Scientist for a hybrid role reporting to Vienna, VA. The ideal candidate will have at least 5 years of relevant experience in data analysis, SQL and Python programming, and a strong knowledge of data visualization tools such as Power BI and Plotly. This role involves complex data analysis, collaborating with cross-functional teams, and developing solutions using both cloud and on-premises infrastructures. The candidate must have a Bachelor's degree in a related field and a Green Card or US citizenship.

Qualifications

• Minimum of 5 years of experience in data analysis, SQL, and Python programming.
• Strong understanding of database design and data modeling concepts.
• Proven ability to create effective visualizations.

Responsibilities

• Build and enhance SQL/Non-SQL-based analytics processes.
• Analyze complex numerical and textual data to identify trends.
• Develop dashboards for actionable insights.

Skills

Data analysis

SQL programming

Python programming

Data visualization

ETL processes

Education

Bachelor's degree in Computer Science

Advanced degree in a related field

Tools

Power BI

Plotly Enterprise

Microsoft Azure

Python

Job description

PLEASE READ THOROUGHLY TO AVOID REJECTION.

• Eligibility: Open to both C2C and W2 options.
• Location: Hybrid work model, reporting to Vienna, VA.
• Minimum of 5 years of relevant experience required.
• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent work experience).
• Green card/USC Required - no sponsorship.

Role Overview:
We are seeking an experienced Data Scientist to join our team on a multiyear contract. The ideal candidate will have expertise in data analysis, SQL/Python programming, and data visualization tools to deliver impactful insights to a wide range of consumers. This role involves collaborating with cross-functional teams, developing data solutions, and implementing processes using on-premises and cloud computing infrastructures.

Key Responsibilities:

• Build and enhance SQL/Non-SQL-based data analytics processes through all phases of development and upkeep.
• Analyze large-scale complex numerical and textual data to identify trends and unlock insights.
• Develop and maintain reporting dashboards to deliver actionable data insights.
• Collaborate with data engineers, machine learning engineers, and data visualizers to deliver projects.
• Utilize Microsoft Azure Cloud Computing Infrastructure and on-premises solutions for data science projects.
• Perform other duties as assigned.

Mandatory Qualifications:

• Minimum of 5 years of experience in:
  • Data analysis
  • SQL and Python programming
  • 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 create effective data visualizations using Power BI and/or Plotly Enterprise.
• Advanced communication and presentation skills to effectively deliver technical and non-technical information to all levels of management.

Preferred Qualifications:

• Advanced degree in Computer Science, Mathematics, Physics, Statistics, or a related field.
• Expertise in Python, Jupyter Notebook/Lab, Visual Studio Code, or similar tools for large-scale data analysis.
• Experience with supervised/unsupervised machine learning model development (clustering, classification, regression).
• Familiarity with API endpoint configuration and data pipeline management.
• Knowledge of data governance principles and their implementation in data ingestion processes.
• Experience working with Agile principles and utilizing tools like Azure DevOps.
• Background in cybersecurity frameworks and related data management.