Overview

We are looking for seasoned Senior Data Scientist to work with our existing team of Data Architects and Developers to develop strategies, create ML/AI solutions, and deliver results.  We are looking for a more than just a "Senior Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. 

Responsibilities

• Experience with data preparation – raw data cleansing, manipulation, formatting 

• Experience with exploratory data analysis of structured and unstructured data 

• Experience with data visualization, summarization, and reporting 

• Experience in feature engineering 

• Strong foundation in traditional ML (Supervised/Unsupervised) analysis techniques 

• Experience with advanced ML (Deep Learning) methodologies for prediction, generation, and/or tooling 

• Knowledge of state-of-the-art Deep Learning libraries 

• Familiarity with generative AI tools and techniques 

• Ability to leverage and integrate various data management tools at scale – cloud experience preferred 

• Support an Agile software development lifecycle 

• You will contribute to the growth of our AI & Data Exploitation Practice! 

Qualifications

Qualifications 

 

• Ability to hold a position of public trust with the US government. 

• 5-7 years industry experience developing ML/AI solutions and a passion for solving complex problems.  

• 5-7 years direct experience in Data Modeling and Data Solution Development 

• 1+ year performing queue modeling and survival analysis 

• Bachelor's degree in computer science, data science/statistics, information systems, engineering, business, or a scientific or technical discipline 

• Demonstrated experience manipulating structured and unstructured data for analysis 

• Strong programming skills in SQL, Python, R, Scala, Java, or similar language 

• Experience using Python to manipulate large data sets 

• Experience with DevSecOps, as it applies to data science 

• Demonstrated experience with TensorFlow, Keras, Torch, or other Deep Learning tools and frameworks 

• Demonstrated experience in big data systems including Hadoop, Spark, Scala 

• Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar 

• Experience with Git, Bash, Unix commands 

• Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure HDInsight, etc. 

• Familiarity with Flask is a plus 

• Knowledge of DBOps and MLOps framework is a plus 

• Experience with Solr, Elasticsearch, or similar tool is a plus