Senior Data Scientist – Managing Lead
| Company | Expression Networks |
|---|---|
| Location | Washington, DC, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Expert or higher |
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.
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.
- Contribute to the development of white papers and proposals, supporting business growth through technical expertise.
- Analyze product strategy and provide data-driven insights and recommendations.
- Participate in research, case studies, and prototype development to explore and leverage cutting-edge technologies.
- Help to recruit, mentor, and retain top data science and engineering talent.
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.