Senior Data Scientist

Clarity Innovations, LLC; Tampa (FL); Presencial; USD 77.000 - 188.000; Jornada completa

Descripción de la vacante

Clarity Innovations, LLC is seeking a Data Scientist to support a U.S. Special Operations Command program at MacDill AFB.

You will gather, derive, and communicate insights from complex data, and lead ML projects using cloud-native platforms to improve mission readiness and data-driven decision making. The role requires at least 1 year of data science experience, a STEM bachelor’s, proficiency in Python/R, and Agile/Git; a Secret Clearance is required.

Formación

• 1+ year hands-on Data Science experience required.
• Bachelor’s degree in a STEM field required.
• Proficiency in one or more programming languages (e.g., Java, C++, Python, R).
• Proficiency in Agile development and Git operations.
• A Secret Clearance is required.

Responsabilidades

• Design, implement, and maintain data pipelines.
• Interpret and analyze complex data; develop ML projects with cloud platforms.
• Apply statistics, modeling, and NLP to solve problems.
• Collaborate with Data Engineers to build data environments.
• Develop predictive and prescriptive models and data visualizations.
• Communicate insights to non-technical audiences.

Conocimientos

Data analysis

Statistical modeling

Programming (Python)

R & NumPy/Pandas

ML project management

Git / Agile

Communication

Educación

Bachelor's degree in STEM

Master's degree (preferred)

Herramientas

Spark

Hadoop

Tableau

Power BI

R Shiny

Databricks

Snowflake

Cloudera

Python

R

Descripción del empleo

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.

We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.

Role

This role is for a Data Scientist on a close-knit team supporting a U.S. Special Operations Command program at MacDill AFB. This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject matter expert, the Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts. The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization.

Responsibilities

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.

Requirements

• A minimum of 1 year of hands‑on Data Science experience is required.
• Bachelor's Degree in a STEM field is required.
• Proficient with one or more programming languages (Java, C++, Python, R, etc.)
• Proficient in Agile Development and Git operations
• A Secret Clearance is required

Preferred Qualifications

• Familiarity with DoD
• A Top Secret Clearance with SCI eligibility
• Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.

Salary Range: $77,000 - $188,000

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.