Data Scientist

Special Aerospace Services - Leesburg, VA

Full-time - Entry Level

Leesburg, VA

Professional, Scientific, and Technical Services

About the position

As a Data Scientist at SASSI, you will leverage your analytical skills and data science expertise to make a real-world impact. The role involves working closely with clients to understand their needs and diving into data-rich environments to find solutions. You will be responsible for turning massive amounts of structured and unstructured data into actionable insights, contributing to various projects from fraud detection to cancer research.

Responsibilities

• Improving an existing platform hosted in the AWS commercial cloud.
• Aggregating data from various sources and developing tools to assist in the normalization and correlation of terabytes of existing and future data.
• Enhancing the platform to allow users to easily search and access data.
• Collaborating with a team of software engineers experienced in Python, Elastic, Kibana, C++, Jupyter Notebooks, and Gitlab.
• Conducting data exploration, data cleaning, data analysis, data visualization, and data mining.
• Developing predictive data models and quantitative analyses.
• Analyzing structured and unstructured data sources for data analysis.
• Utilizing programming languages like Python, R, Java, TensorFlow, PyTorch, ApacheSpark, Apache NiFi, SQL, NoSQL, Tableau, JavaScript, Flask, AWS, and Azure.
• Using data visualization tools to present analytic results.
• Applying knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
• Evaluating data methods, models, and algorithms.
• Transforming poorly defined problems into actionable questions with quantitative solutions.

Requirements

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Data Analytics, or a related field.
• Experience with two or more of the following disciplines: business analytics, statistics, data verification and validation, and data visualization.
• Experience in qualitative and quantitative data analysis methods.
• Proficiency in creating data visualization mockups, prototypes, and documentation.
• Ability to interpret data models and work with diverse data sources and structures.
• Experience translating customer requirements into project or system specifications.
• Strong interpersonal and communication skills.
• Self-starter with the ability to break down ambiguous problems into actionable plans.
• Proficiency in Tableau, Power BI, or similar interactive data visualization software.
• Experience in data transformation, manipulation, and combination using Python, Excel, and SQL.

Nice-to-haves

• Experience with data derived from technical missions, taskings, collection, processing, analysis, or dissemination.
• Familiarity with Sponsor business or mission data, Sponsor applications, or Sponsor database structures.
• Knowledge of the Sponsor's data handling procedures.
• Proficiency in visualization tools such as Jupyter, Visio, Sharepoint, or Confluence.
• Experience with APIs and version control systems like GitHub.
• Proficiency in Python or R.

Benefits

• Diversity and inclusion commitment.