Data Scientist Opportunity

Iron EagleX, Inc. company

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Data Scientist in United States

Visa sponsorship & Relocation 1 year ago
Iron EagleX is a veteran owned defense contracting company based in Tampa, FL.

It is our mission to provide solutions to the most challenging technical problems facing the Department of Defense while simultaneously making a positive impact on our employees and community.

Responsibilities

Job Description:

The Data Scientist will support the United States Special Operations Command (USSOCOM) Chief Data Office (CDO) and be responsible for designing, implementing, and maintaining a data pipeline. Additionally, the Data Scientist shall interpret and analyze complex sets of data and plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They will leverage multiple methodologies such as data mining, natural language programming, and machine learning.

Job Duties Include (but not limited to):

  • 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 algorithims 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 and 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 platformssuch as Databricks, IBM Cloud Pak, Cloudera, and Snowflake
  • Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling

Qualifications

Required Skills & Experience:

  • Minimum of 1 year of experience in data analysis, reporting, and engineering is required
  • Proficient with one or more programming languages (Java, C++, Python, R, etc.)
  • Proficient in Agile Development and Git Operations
  • Demonstrated experience applying data science methods to real-world data problems
  • Must be able to define and document appropriate advanced analytic methods, predictive analysis, pattern analysis, and the like
  • Unit testing and associated frameworks
  • Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role.

Desired Skills:

  • Experience working with the Department of Defense

Education & Certifications:

  • Bachelor’s in Information Technology, Computer Science, Statistics, or related field or the equivalent combination of education, technical training, or work/military experience desired
  • Certificate in Data Analysis or other relevant experience or training

Security Clearance:

  • Interim Secret Clearance is required while DoD Secret Security Clearance is prefered

Benefits:

  • National health, vision, and dental plans
  • 20 days of PTO and 11 paid holidays
  • Life Insurance
  • Short and long term disability plans
  • 401(K) retirement plan
  • Incentive and recognition programs
  • Relocation opportunities
Apply now

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