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Clarity · 1 day ago

Data Scientist

Homestead, FL

Full-time

Onsite

Entry Level

1+ years exp

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community and Department of Defense. The Data Scientist role involves leveraging data to provide insights and support decision-making processes, directly impacting mission readiness.

AppsDatingFitnessInformation TechnologyMobile AppsSoftwareWellness

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

Data Science experienceMachine LearningProgramming languagesAgile DevelopmentData visualizationStatistical modelingCommunication skillsTeam collaborationProblem-solving