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. 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.

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.
• Apply data science methods to real-world data problems.
• Coordinate research and analytic activities utilizing various data points (unstructured and structured).
• 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.
• Support the Mobile Training team with 25% travel.

Qualifications

• 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.
• Minimum SECRET Clearance to start with the willingness and ability to obtain TS/SCI.

Skills

• Proficient with one or more programming languages (Java, C++, Python, R, etc.).
• Proficient in Agile Development and Git Operations.
• Proficiency in distributed SQL programming, relational and non-relational data queries.
• Proficiency in machine learning techniques.
• Proficiency in general programming languages (such as Python and R).
• Proficiency in using frameworks such as Spark and Hadoop for large-scale data processing.
• Proficiency in performing statistical modeling and creating data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
• Proficiency in using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.