Data Scientist
7 days ago
Job DescriptionJob Description
Dynamic Solutions Technology, LLC, a premier strategic services firm that meets IT and Service needs for commercial and government clients. We are is seeking a full-time Data Scientist (Mid-Level) to support DoD customer is based in San Diego, CA.
ACTIVE SECRET UP TO TOP CLEARANCE REQUIRED
Responsibilities:
- Works on high-visibility or mission critical aspects of a given program and performs all functional duties identified independently
- Oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific jo
- Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming and visualization software
- Apply data mining, data modeling, natural processing, and machine learning to extract and analyze information from large structured and unstructured datasets
- Visualize, interpret, and report data findings
- Create dynamic data reports.
- Software integration or testing, including analyzing and implementing test plans and scripts.
- Experience with frequent scripting use, such as Python and R and using packages commonly
Qualifications Requirements:
- Bachelor's Degree in Information Systems Management, Computer Science, or closely related field;
- OR Associates Degree in Information Systems Management, Computer Science, or closely related field WITH 4 years additional relevant experience
- Min three (3) years of relevant focused experience
Relevant industry Certification such as:
- CompTIA Cloud Essentials/Microsoft Technical Associate (MTA)/Certificate of Cloud Security (CCSK)
- CompTIA A+
- CompTIA Security+
- EMC Data Science Associate (EMCDSA)/Cloudera Certified Data Scientist (CCDH)
- Certified Apache Hadoop Developer
- Microsoft Certified Professional Developer (MCPD)
- Microsoft Certified Solution Developer (MCSD)
- Microsoft Certified Solution Expert (MCSE)/Private Cloud/Certified
Experience and Skills:
- Excellent oral and written skills.
- Excellent critical thinking skills.
- Proficient in Microsoft applications such as Word, Excel, PowerPoint, and Outlook.
- Ability to work independently and as a team member
- Ability to learn and apply technical concepts to assigned duties
- Experience with frequent scripting use, such as Python and R and using packages commonly used in data science applications or advanced analytics
- Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives.
- Experience applying Structured Query (SQL), Non-Structured Query (NoSQL)
- Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index.
- Experience using programming and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or Antigravity.
- Experience applying complex mathematical and statistical concepts.
- Experience applying statistical and operations research methods and tools
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