Data Scientist

About the role

Altamira Technologies serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. This position requires 25% travel supporting the Mobile Training team.

Responsibilities

• Design, implement, and maintain a data pipeline.
• Interpret and analyze complex sets of data.
• Plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions.
• Leverage methodologies such as data mining, natural language programming, and machine learning.
• Understand and manipulate structured and unstructured large data sets using distributed SQL programming, relational and non-relational data queries.
• 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.
• 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.
• Communicate complex concepts and hypotheses to a non-technical audience through digital storytelling.

Experience

• Interpret and analyze data using exploratory mathematics 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.
• 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.

Education

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