Job description

San Diego, CA, USA90,000-110,000 per yearSalaryFull Time 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 languages and visualization software Apply data mining, data modeling, natural language 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 language 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 language 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 Language (SQL), Non-Structured Query Language (NoSQL) Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index. Experience using programming languages 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

Requirements