Data Scientist

SteampunkMcLean, VA
$125,000 - $160,000

About The Position

We are looking for seasoned Data Scientists 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 technologist with excellent communication and customer service skills and a passion for data and problem solving. You will contribute to the growth of our AI & Data Exploitation Practice!

Requirements

  • 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.

Nice To Haves

  • 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

Responsibilities

  • 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.

Benefits

  • The projected compensation range for this position is $125,000 to $160,000.
  • Annual salary is just one aspect of Steampunk’s total compensation package for employees.
  • Learn more about additional Steampunk benefits here.
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