Data Scientist Public Trust

Data Scientist

Location: HYBRID - Ashburn, VA, United States

Data Scientist
We are seeking a Data Scientist who is ready to take their career to the next level while applying advanced analytics and machine learning to solve meaningful government challenges. This is more than a traditional role - it's an opportunity to join a team that values your expertise, supports your growth, and allows you to focus on delivering impactful data solutions.

Why Join Us?
We are a mission-driven, team-first organization that puts your career and voice at the center of everything we do. When you join, you'll step into a culture built on mentorship, professional growth, and innovation. You'll have opportunities to advance into technical leadership, work with state-of-the-art tools, and collaborate in a flexible hybrid environment that supports your work-life balance.

Responsibilities:

• Lead and perform advanced data analysis, modeling, and experimentation to develop actionable insights.
• Collaborate with mission stakeholders to define challenges, design approaches, and deliver robust project plans.
• Extract, clean, and transform large structured and unstructured datasets to build predictive models.
• Apply statistical and machine learning techniques to train, evaluate, and deploy models that support mission decisions.
• Identify patterns, anomalies, and trends in large datasets using advanced analytics.
• Communicate project designs, results, and recommendations clearly to both technical and non-technical audiences, including senior stakeholders.

Must Have's:

• Public Trust clearance
• Bachelor's Degree (required) in operations research, industrial engineering, mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience.
• 7-12 years of relevant experience
• Experience in applying advanced analytics solutions to solve complex business problems
• Experience with programming languages including: R, Python, JavaScript, Visual Basic
• Experience with creating VBA applications and macros to structure, manage, and wrangle key datasets
• Experience with core data science libraries - Pandas, NumPy, Matplotlib, Plotly, etc.
• Experience with Anaconda distribution of Python for package management and deployment
• Familiarity with command-line shell programming (Powershell, cmd, etc.)
• Proficiency with SQL programming
• Familiarity with RESTful APIs, web scraping, and processing unstructured data
• Knowledge of visualization and presentation techniques including Tableau, Power BI, Jupyter Notebooks, etc.
• Knowledge of cloud technologies such as AWS or Google
• Proficiency using git for version control, collaboration, and code review
• Familiarity with software organization tools and frameworks (Docker, virtual environments, etc.)
• Experience with engineering and development collaboration tools such as Jira and Confluence
• Experience with Natural Language Processing (NLP), computational linguistics, entity extraction, named entity recognition (NER), name matching, disambiguation
• Experience constructing and executing queries to extract data in support of EDA and model development
• Experience with unsupervised and supervised machine learning techniques and methods
• Experience working with large-scale (e.g., terabyte and petabyte) unstructured and structured datasets and databases
• Experience performing data mining, analysis, and training set construction

Nice to Have's:

• Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.
• Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.
• Experience with pattern recognition and extraction, automated classification, and categorization
• Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/disambiguation)
• Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI)
• Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)
• Master's Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience
• Active Top Secret clearance

Compensation & Benefits:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• Basic Life Insurance
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program

Technology You'll Use:

• Python, R, SQL, JavaScript
• Pandas, NumPy, Matplotlib, Plotly
• Tableau, Power BI, Jupyter Notebooks
• AWS & Google Cloud Platforms
• NLP and Machine Learning Frameworks (scikit-learn, TensorFlow, etc.)
• Big Data Tools (Hadoop, Spark, Kafka)

Location
HYBRID - Ashburn, VA, United States

Salary
$180-$215K