Associate Data Scientist

Steampunk • McLean, VA

3d • $75,000 - $130,000

About The Position

Steampunk is seeking an Associate Data Scientist to work with a team of Data Architects and Developers to develop strategies, create machine learning and artificial intelligence solutions, and deliver results. The role calls for a technologist with strong communication and customer service skills and a passion for data and problem solving.

The position involves modeling structured and unstructured data, exploratory data analysis, feature engineering, data visualization, and applying deep learning methodologies and libraries. The Associate Data Scientist will use data collection and management capabilities to organize relevant information and support decision-making, while contributing to an Agile software development lifecycle.

The projected annual salary range is $75,000 to $130,000. The role requires the ability to hold a position of public trust with the US government. Applicants are expected to be on camera during interviews and assessments; Steampunk may take a picture to verify identity and prevent fraud.

Requirements

• Ability to hold a position of public trust with the US government.
• 0–2 years of industry experience developing ML/AI solutions, with a passion for solving complex problems.
• 0–2 years of direct experience in data modeling and data solution development.
• Bachelor’s degree in computer science, information systems, engineering, business, or a scientific or technical discipline.
• Demonstrated experience manipulating structured and unstructured data for analysis.
• Strong programming skills in SQL, Python, R, Scala, Java, or a similar language.
• Experience using Python to manipulate large data sets.
• Demonstrated experience with TensorFlow, Keras, or other deep learning tools and frameworks.
• Demonstrated experience with big data systems, including Hadoop, Spark, and Scala.
• Data visualization skills using Tableau, Power BI, D3, ArcGIS, or a similar tool.

Nice To Haves

• Knowledge of DBOps and MLOps frameworks.
• Experience with Solr, Elasticsearch, or a similar tool.

Responsibilities

• Develop strategies and create machine learning and artificial intelligence solutions.
• Model structured and unstructured data sets.
• Conduct exploratory data analysis and feature engineering.
• Create data visualizations.
• Apply deep learning methodologies and state-of-the-art libraries.
• Use data collection methods, capabilities, and tasking processes.
• Leverage data management tools to organize relevant information and support decisions.
• Support an Agile software development lifecycle.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level