Data Scientist - TS.SCI w/ favorable poly REQUIRED
BK Consulting
McLean, VA, United States
5 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$200,000 - $250,000
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Business Analytics Applications
Data Analysis
Microsoft Azure
Big Data
Data Integration
Data Mining
Data Visualization
Programming Tools
Python (Programming Language)
Machine Learning
Natural Language Processing
+22 more
NumPy
Power BI
Tensorflow
Standard Sql
Tableau (Software)
Unstructured Data
Google Cloud
Pytorch
Large Language Models
Apache Spark
Generative AI
Git
Pandas
Matplotlib
Scikit Learn
Kubernetes
Information Technology
Plotly
Non-relational Database
Machine Learning Operations
Docker
Databricks
Job description
We are seeking a talented and motivated Data Scientist to join our team supporting mission-critical government programs. The ideal candidate will have experience working with complex datasets, developing analytical models, and leveraging statistical methods, machine learning, and advanced analytics to solve challenging problems., * Collect, process, clean, and analyze large, complex datasets from multiple sources.
- Develop and implement statistical models, predictive analytics, and machine learning algorithms.
- Identify patterns, trends, and relationships within structured and unstructured data.
- Design and develop data visualizations, dashboards, and analytical reports to communicate findings.
- Collaborate with software engineers, data engineers, analysts, and stakeholders to define analytical requirements and develop solutions.
- Apply advanced analytical techniques, including natural language processing (NLP), classification, clustering, and anomaly detection.
- Develop and maintain Python-based analytical tools, scripts, and automated workflows.
- Evaluate model performance, validate results, and continuously improve analytical methodologies.
- Support the integration of data science and machine learning solutions into operational environments.
- Document methodologies, findings, and technical solutions for both technical and nontechnical audiences.
Requirements
- Bachelorβs degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical field, or equivalent practical experience.
- Experience performing data analysis, statistical modeling, or machine learning.
- Proficiency in Python and common data science libraries such as Pandas, NumPy, Scikit-learn, or similar tools.
- Experience working with SQL and relational or non-relational databases.
- Strong understanding of statistical analysis, data mining, and predictive modeling techniques.
- Experience with data visualization tools or libraries such as Tableau, Power BI, Matplotlib, or Plotly.
- Ability to analyze complex problems and communicate technical findings effectively.
- Strong problem-solving skills and ability to work independently and collaboratively.
- Ability to meet applicable government security clearance requirements.
Preferred Qualifications
- Masterβs degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.
- Experience supporting Department of Defense (DoD), Intelligence Community (IC), or other federal government customers.
- Experience developing and deploying machine learning models using TensorFlow, PyTorch, or similar frameworks.
- Familiarity with large language models (LLMs), generative AI, and retrieval-augmented generation (RAG).
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience working with large-scale data processing technologies such as Apache Spark or Databricks.
- Familiarity with MLOps practices, model deployment, and automated machine learning pipelines.
- Experience with Git, Docker, Kubernetes, or other modern development tools.
- Knowledge of graph analytics, geospatial analysis, or advanced NLP techniques.
- Active government security clearance.
Benefits & conditions
- Competitive compensation
- Comprehensive health, dental, and vision benefits
- Retirement savings plan with company contributions
- Paid time off and paid holidays
- Professional development and training opportunities
- Opportunities to work on challenging, mission-focused projects
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