Data Scientist

Steampunk • McLean, VA

4d • $125,000 - $160,000

About The Position

Steampunk is seeking a seasoned Data Scientist to work with its Data Architects and Developers to develop strategies, create ML/AI solutions, and deliver results. The role calls for a technologist with excellent communication and customer service skills and a passion for data and problem solving. The Data Scientist will contribute to the growth of Steampunk’s Data Exploitation Practice and support an Agile software development lifecycle.

Steampunk is a Change Agent in the Federal contracting industry, serving clients in the Homeland, Federal Civilian, Health, and DoD sectors. Its Human-Centered delivery methodology aims to change how Federal clients approach shared accountability in solving mission challenges. Compensation is projected at $125,000 to $160,000 annually; the estimate reflects a typical salary range and is one part of the total compensation package. Applicants are expected to be on camera during interviews and assessments, and Steampunk may take a picture to verify identity and prevent fraud. Steampunk is an equal opportunity employer and participates in E-Verify.

Requirements

• Ability to hold a position of public trust with the US government.
• At least 5 years of industry experience developing ML/AI solutions.
• At least 3 years of direct experience in data modeling and data solution development.
• At least 1 year performing queue modeling and survival analysis.
• 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.
• Experience with DevSecOps as it applies to data science.
• 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 similar tools.
• Experience with Git, Bash, and Unix commands.
• Experience in cloud analytics (AWS, Azure, or GCP), using tools such as AWS SageMaker or Azure HDInsight.

Nice To Haves

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

Responsibilities

• Model structured and unstructured data sets.
• Perform exploratory data analysis.
• Conduct feature engineering.
• Create data visualizations.
• Apply deep learning methodologies and state-of-the-art libraries.
• Use knowledge of data collection methods, capabilities, and tasking processes.
• Leverage multiple data management tools to organize relevant information and make decisions.
• Support an Agile software development lifecycle.
• Contribute to the growth of the Data Exploitation Practice.

What This Job Offers

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