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1010-59 CASOCO Data Scientist Mid Level

Company: Global InfoTek Inc
Location: San Diego
Posted on: May 15, 2022

Job Description:

Job DescriptionClearance Level: At least "Interim Secret" w/in 30 days of hire is required, while Top Secret clearance eligible for SCI is preferred.US Citizenship: RequiredJob Classification: Regular, Full-TimeLocation: Coronado, CaliforniaYears of Experience: 5 YearsEducation Level: Bachelor's degree in a STEM field is required. Master's degree is preferred in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.Position Description: A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning. Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.The Data Scientist shall perform the following tasks:

  • Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
  • Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data
  • Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
  • Coordinate with Data Engineers to build Data environments providing data identified by other data professionals
  • Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
  • Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
  • Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data.
  • Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
  • Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages.
  • Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
  • Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling. Required Skills
    • Bachelor's degree in a STEM field is required. Master's degree is preferred in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
    • Proficient with one or more programming languages (Java, C++, Python, R, etc.).
    • Bachelor's degree is acceptable in the above fields if the candidate has training and verifiable work experience in a related field.
    • Proficient in Agile Development and Git Operations. Desired Skills Demonstrated experience applying data science methods to real-world data problems. Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. About Global InfoTek, Inc. Reston, VA-based Global InfoTek Inc. is a woman-owned small business with an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. For more than two decades, GITI has merged pioneering technologies, operational effectiveness, and best business practices to rapidly provide low-cost, agile solutions to DoD, DHS, and IC customers. In addition to its Reston office, GITI has operations in San Antonio, TX, Colorado Springs, CO, and Rome, NY.

Keywords: Global InfoTek Inc, San Diego , 1010-59 CASOCO Data Scientist Mid Level, Other , San Diego, California

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