Data Scientist (Predictive)
US-VA-McLean
External
Req #: 6527
Type: Full-Time
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Overview: We are looking for a seasoned Predictive Data Scientist to work with our existing team of Data Architects and Developers to develop strategies, create ML/AI solutions, and deliver results. One must be 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
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