Senior Data Scientist

• Unlock complex structured and unstructured datasets to solve challenges across private and public sectors
• Work closely with clients to understand questions and needs
• Analyze data-rich environments and identify meaningful information
• Guide teammates and lead development of algorithms and systems
• Select tools and frameworks to transform disparate data into objective answers
• Advise clients in making informed decisions
• Develop and manage end-to-end machine learning workflows from data preparation to deployment and evaluation
• Design, implement, and iterate on models for document classification, extraction, summarization, and search
• Own data science workflows interacting with production systems streaming millions of documents weekly

• 5+ years of experience with applied data science or ML roles, including Python, NLP, and LLM implementation
• 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
• Experience with production-level systems, data lake environments, and streaming data, including Kafka
• Experience implementing end-to-end ML workflows from data preparation through deployment and evaluation
• Ability to quickly learn infrastructure or systems concepts, including pipeline and data lake interfaces
• Ability to design, implement, and iterate on ML models for document classification, extraction, summarization, and search
• Ability to own data science workflows interacting with production systems streaming millions of documents per week
• TS/SCI clearance required
• Bachelor's degree
• Experience collaborating with MLOps and infrastructure engineers
• Experience supporting document indexing or search, GPU workloads, and distributed storage, including Cloudera
• Experience deploying Docker and Kubernetes solutions
• Experience with Databricks implementation and development
• Experience developing algorithms with Python, SQL, or No
  
  SQL
• Experience with Map Reduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL
• Security+ Certification is a nice-to-have

Demonstrates expertise in developing and managing end-to-end machine learning workflows, including data preparation, model design, and deployment. Proficient in leveraging Python, NLP, and various data technologies to extract meaningful insights from complex datasets.

• Machine Learning Workflows
• Python Programming
• Natural Language Processing (NLP)
• Data Visualization
• Production-Level Systems

• Data Analysis
• Data Cleaning
• Data Mining
• Document Classification
• Model Implementation
• SQL
• No
  
  SQL
• Map Reduce
• Hadoop
• Spark

• Client Collaboration
• Team Leadership
• Problem Solving

• TS/SCI Clearance
• Security+ Certification

• Data Lake
• Streaming Data
• MLOps
• Document Indexing
• GPU Workloads

• Kafka
• Docker
• Kubernetes
• Databricks
• Cloudera