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Data Scientist

Company: SOLUTE
Location: Homestead
Posted on: May 13, 2022

Job Description:

Sigma Defense Systems is a leading technology company serving the Department of Defense (DoD), providing tactical communications systems and services for digital modernization since 2006. Through our acquisition of SOLUTE in 2022, we have broadened our portfolio of solutions and services to include JADC2, C5ISR, SATCOM, and DEVSECOPS for customers in the Army, Navy, Air Force, Marine Corps, and Space Force. Through our software-focused approach, we provide a platform and tools that accelerates information collection and sharing for faster decision making and better mission outcomes.

We are a company of innovative professionals thriving in a highly motivating work environment that fosters creativity and independent thinking. If you are a motivated individual with a desire to support our service men and women, now is a great time to join Sigma Defense!

  • This position is contingent upon award.**

    Essential Job Responsibilities(not All-inclusive)
    • Data analysts and data engineers' skills that includes programming, mathematical modeling, statistics, and domain knowledge
    • Designing, implementing, and maintaining a data pipeline.
    • Interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced Machine Learning solutions.
    • Recognize challenging processes, technologies, and leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning.
    • Comprehend 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.

      • 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.
      • 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.

        • Education: 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.
        • Experience: Demonstrated experience applying data science methods to real-world data problems.
        • Credentials: Proficient in Agile Development and Git Operations.
        • Certifications: Provide certifications for any attributes identified in the qualification fields.
        • Computer Programs/Software: Proficient with one or more programming languages (Java, C++, Python, R, etc.) or similar analytical languages, Databricks, IBM Cloud Pak, Cloudera, Snowflake, and frameworks such as Spark and Hadoop.


          Benefits include:
          • Medical, Dental and Vision
          • Life and A&D coverage
          • Employee Assistance Program (EAP)
          • 401(k) Plan with company matching contributions
          • Paid Time Off (PTO) and 10 paid Holidays
          • Educational Assistance
          • Highly Competitive Salary

            We are an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, marital status, veteran status or any other applicable legally protected status or characteristic.

Keywords: SOLUTE, Homestead , Data Scientist, Other , Homestead, Florida

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