Dark Wolf Solutions is seeking a highly motivated and experienced Data Scientist to join our team and contribute to the development and optimization of our Data/ML Platform. In this role, you will be instrumental in building, testing, and validating data pipelines that enable the creation and deployment of cutting-edge AI/ML. You will work collaboratively with a team of data engineers and AI/ML specialists to ensure the quality, accessibility, and performance of our data assets for a key government customer based in Tampa, FL. Tasks may include, but are not limited to:

• Testing and validating the performance of ML models
• Assisting with data acquisition, ingestion, and tagging. 
• Data exploration and understanding to identify valuable insights.
• Feature extraction and analysis to engineer effective AI/ML models. 
• Data engineering and conditioning to ensure data quality and consistency.
• Data labeling to create high-quality training datasets.
• Constructing, training, and validating AI/ML datasets. 

Required Qualifications:

• 5+ years of experience performing data science activities to include: data exploration, feature engineering, model building, training, and validation.
• 2+ years of experience working with Cloud environments (AWS, Azure, GCP).
• 1+ year experience using scripting languages such as R or Python for data analysis and model development.
• 1+ years experience using Big Data technologies and tools (e.g. Spark, Hadoop, Hive, Cassandra, Druid, Flink, Drill, Trino, NoSQL) for large-scale data processing.
• Experience with a variety of open source and commercial AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Ability to manipulate raw data into effective visualizations and actionable insights. Ability to communicate end-to-end data outcomes visually to both technical and non-technical audiences.
• Demonstrates a deep understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Strong understanding of SQL and experience querying relational databases. Comfortable in a project startup environment, demonstrating adaptability and initiative.
• US Citizenship and an active TS/SCI clearance

Desired Qualifications:

• Master’s degree or Ph.D. in Statistics, Mathematics, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience.
• A Data Science Certification OR a cloud certification in AWS, Azure, or GCP focused on data science or AI/ML services.
• Previous experience supporting the DoD. Bachelor's Degree in Computer Science, Mathematics, or equivalent technical degree; or in lieu of degree, 3 years of equivalent industry experience.