Data Scientist, Senior at NINE 30 CONSULTING
Maryland, Maryland, USA -
Full Time


Start Date

Immediate

Expiry Date

25 Oct, 25

Salary

90000.0

Posted On

25 Jul, 25

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

DESCRIPTION:

This position will apply advanced analytics, data science techniques, and visualization tools to transform complex data into actionable insights that support strategic decision-making.

Primary Duties:

  • Leads the development and implementation of advanced techniques and analytics applications to transform raw data into actionable insights using data-oriented programming languages and visualization software.
  • Oversees the application of data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
  • Guides the visualization, interpretation, and reporting of data findings, ensuring clear communication of insights.
  • May also oversee the creation of dynamic data reports to support strategic decision-making.
  • Supports and guides junior staff and collaborates with senior team members in applying analytical techniques and methodologies to enhance project outcomes.

Location: St. Inigoes, MD
* This position is contingent upon contract award. *

Skills and Qualifications:

  • Strong analytical and problem-solving skills
  • Advanced Microsoft Excel proficiency

Education and Experience: A BS degree in Information Technology, Cybersecurity, Data Science, Information Systems, or Computer Science. MS degree preferred. 7 years of relevant data analytics experience.
The following certifications are required: Certified Analytics Professional (CAP), Microsoft Certified: Azure Data Scientist Associate, and Google Data Analytics Professional Certificate.

How To Apply:

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Responsibilities
  • Leads the development and implementation of advanced techniques and analytics applications to transform raw data into actionable insights using data-oriented programming languages and visualization software.
  • Oversees the application of data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
  • Guides the visualization, interpretation, and reporting of data findings, ensuring clear communication of insights.
  • May also oversee the creation of dynamic data reports to support strategic decision-making.
  • Supports and guides junior staff and collaborates with senior team members in applying analytical techniques and methodologies to enhance project outcomes
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