Data Scientist

We are looking for seasoned Data Scientist to work with our existing team of Data Architects and Developers to develop strategies, create ML/AI solutions, and deliver results. We are looking for a more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

• Conduct exploratory data analysis (EDA) to uncover trends, identify data quality issues, and determine modeling opportunities. 
• Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries. 
• Perform feature engineering, dataset preparation, and model optimization to improve predictive accuracy and operational performance. 
• Evaluate models using appropriate statistical methods and performance metrics, documenting findings and informing iterative improvements. 
• Work with Data Engineers to understand and enhance data pipelines, ensuring model-ready datasets are accurate, complete, and consistent. 
• Collaborate with AI Developers and LLMOps/MLOps Engineers to integrate ML models into production environments or decision-support applications. 
• Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate insights clearly to stakeholders. 
• Support human-centered design processes by translating user needs into modeling requirements and refining model outputs based on feedback. 
• Contribute to reproducibility and auditability by maintaining well-organized code, notebooks, documentation, and experiment histories. 
• Stay current with modern data science methodologies, ML techniques, data processing tools, and cloud-enabled analytics workflows. 
• You will contribute to the growth of our AI & Data Exploitation Practice! 

• Ability to hold a position of public trust with the US government.
• 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems.
• 2-4 years direct experience in Data Modeling and Data Solution Development
• 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 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 in big data systems including Hadoop, Spark, Scala
• Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar
• Experience with Git, Bash, Unix commands
• Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure HDInsight, etc.
• Familiarity with Flask is a plus
• Knowledge of DBOps and MLOps framework is a plus
• Experience with Solr, Elasticsearch, or similar tool is a plus

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.