Quick overview
Job description
TMSV is dedicated to excellence led by a team of proven, results driven professionals. Come join a winning team that puts our people first. We offer innovative work with excellent compensation and benefits packages so that you can focus on the mission. At TMSV we deliver and we need talented teammates willing to be a part of a growing and dynamic team of trusted professionals. We are looking for a TS/SCI Cleared Data Scientist to join our team and support our SOCOM customer in Tampa, Florida. Description Seeking a Data Scientist with skills sets of both data analysts and data engineers.
Will be responsible for designing, implementing, and maintaining a data pipeline. In addition, the data scientist 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.
Required Responsibilities • 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.
- Bachelors degree in a STEM field is required. Masters 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.).
- Proficient in Agile Development and Git Operations.
- Demonstrated experience applying data science methods to real-world data problems.
Clearance Requirements • An active TS/SCI clearance is required. TMSV is an Equal Employment Opportunity/Affirmative Action Employer that treats all employees and applicants equally without discrimination because of race, color, religion, age, gender, sex, sexual orientation, gender identity, national origin, citizenship status, marital status, genetic information, disability, veteran status or any other legally protected status. We comply with all applicable laws governing employment practices and do not discriminate on the basis of any unlawful criteria.
TMSV is also committed to pay transparency and the range for this position is $105,000-$120,000. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
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