Senior Data Scientist (Managing Lead) – NTIA Contract
About
Senior Data Scientist (Managing Lead) – NTIA Contract
hatch I.T. is partnering with Expression to find a Senior Data Scientist (Managing Lead). See details below: About The Role: Expression is seeking a Sr Data Scientist (Managing Lead) to support the continued growth of their Data Science Department. This role will be responsible for leading teams in designing and implementing high-impact data engineering, data science, and AI/ML solutions across a variety of domains and use cases. The ideal candidate thrives in a highly technical, collaborative environment and excels at leading high-performing teams to drive innovation and deliver measurable results under tight deadlines. Responsibilities: Collaborate with program managers and product owners to develop and deliver products that customers love. Lead cross-functional teams of data scientists, engineers, architects, and subject matter experts through all phases of the data science lifecycle. Design, implement, and deploy data pipelines and machine learning models in production environments. Drive excellence in Data Science and Engineering while fostering a culture of innovation. Perform quality management and performance reviews. Work in a consultative fashion to improve communication, collaboration, and alignment within the Data Science Department and across the organization. Requirements 10+ years of experience working as a data scientist or data engineer with a Bachelor’s degree in Computer Science/Data Science/Statistics or relevant discipline, 8+ years of experience, with MS, or 5+ years of experience with PhD. Current Security+ certification (or must obtain within 30 days) 5+ years of experience creating AI/ML models and data pipelines in production. 5+ years of experience using Python language and libraries for data science. 5+ years of experience creating ETL processes and working with a variety of databases (SQL, NoSQL, Graph, etc.) and data architectures (Data Lake, Lakehouse). 3+ years of experience leading a team in an Agile environment. 3+ years of experience in short-release cycles and the full software lifecycle. Expert knowledge of machine learning algorithms and advanced statistical concepts and methods. Strong writing and oral communication skills to deliver design documents, technical reports, and presentations to a variety of audiences. Strong interpersonal and organizational skills. Preferred Qualifications: Proficiency in Azure solutions (Databricks, Spark Streaming, OpenAI Service). Experience with PostgreSQL, ElasticSearch, MongoDB, and graph databases. Experience with NLP and Large Language Models. Experience with GenAI enabled daily workflows (coding, testing, analytics). Familiarity with Tensorflow, Caffe2, PyTorch, Keras, and PySpark.
#J-18808-Ljbffr
Nice-to-have skills
• Data Science
• Python
• ETL
• SQL
• NoSQL
• Machine Learning
• Azure
• PostgreSQL
• Elasticsearch
• MongoDB
• TensorFlow
• PyTorch
• Keras
• PySpark
• District of Columbia, United States
Work experience
• Data Engineer
• Machine Learning
• Data Scientist
Languages
• English
About
Senior Data Scientist (Managing Lead) – NTIA Contract
hatch I.T. is partnering with Expression to find a Senior Data Scientist (Managing Lead). See details below: About The Role: Expression is seeking a Sr Data Scientist (Managing Lead) to support the continued growth of their Data Science Department. This role will be responsible for leading teams in designing and implementing high-impact data engineering, data science, and AI/ML solutions across a variety of domains and use cases. The ideal candidate thrives in a highly technical, collaborative environment and excels at leading high-performing teams to drive innovation and deliver measurable results under tight deadlines. Responsibilities: Collaborate with program managers and product owners to develop and deliver products that customers love. Lead cross-functional teams of data scientists, engineers, architects, and subject matter experts through all phases of the data science lifecycle. Design, implement, and deploy data pipelines and machine learning models in production environments. Drive excellence in Data Science and Engineering while fostering a culture of innovation. Perform quality management and performance reviews. Work in a consultative fashion to improve communication, collaboration, and alignment within the Data Science Department and across the organization. Requirements 10+ years of experience working as a data scientist or data engineer with a Bachelor’s degree in Computer Science/Data Science/Statistics or relevant discipline, 8+ years of experience, with MS, or 5+ years of experience with PhD. Current Security+ certification (or must obtain within 30 days) 5+ years of experience creating AI/ML models and data pipelines in production. 5+ years of experience using Python language and libraries for data science. 5+ years of experience creating ETL processes and working with a variety of databases (SQL, NoSQL, Graph, etc.) and data architectures (Data Lake, Lakehouse). 3+ years of experience leading a team in an Agile environment. 3+ years of experience in short-release cycles and the full software lifecycle. Expert knowledge of machine learning algorithms and advanced statistical concepts and methods. Strong writing and oral communication skills to deliver design documents, technical reports, and presentations to a variety of audiences. Strong interpersonal and organizational skills. Preferred Qualifications: Proficiency in Azure solutions (Databricks, Spark Streaming, OpenAI Service). Experience with PostgreSQL, ElasticSearch, MongoDB, and graph databases. Experience with NLP and Large Language Models. Experience with GenAI enabled daily workflows (coding, testing, analytics). Familiarity with Tensorflow, Caffe2, PyTorch, Keras, and PySpark.
#J-18808-Ljbffr
Nice-to-have skills
• Data Science
• Python
• ETL
• SQL
• NoSQL
• Machine Learning
• Azure
• PostgreSQL
• Elasticsearch
• MongoDB
• TensorFlow
• PyTorch
• Keras
• PySpark
• District of Columbia, United States
Work experience
• Data Engineer
• Machine Learning
• Data Scientist
Languages
• English
