Data Scientist

About the role

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies. Position Location: Camp Lejeune, North Carolina.

Responsibilities

• Design, implement, and maintain data pipelines.
• Interpret and analyze complex sets of data.
• Plan, execute, and manage machine learning projects with cloud-native platforms and advanced ML solutions.
• Leverage methodologies such as data mining, natural language processing, and machine learning.
• Combine advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results.
• Understand and manipulate structured and unstructured large data sets using distributed SQL programming, relational and non-relational data queries, and general programming languages (Python, R).
• 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 hypotheses to a non-technical audience through digital storytelling.

Requirements

• Bachelor’s degree in a STEM field required.
• Master’s degree preferred in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
• Bachelor’s degree acceptable in the above fields if incumbent has training and verifiable work experience in a related field.
• Minimum SECRET clearance required; willingness and ability to obtain TS/SCI clearance (TS/SCI preferred).

Skills

• 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.
• Proficiency in distributed SQL programming, relational and non‑relational data queries.
• Experience with Spark, Hadoop, Tableau, Microsoft Power BI, R Shiny.
• Experience with cloud‑based ML platforms such as Databricks, IBM Cloud Pak, Cloudera, Snowflake.
• Knowledge of NLP, RPA, text mining, clustering, forecasting, and other advanced