Data Scientist

at  INADEV

Description:
Formed in 2011, INADEV is focused on its founding principle to build innovative customer-centric solutions incredibly fast, secure, and at scale. We deliver world-class digital experiences to some of the largest federal agencies and commercial companies. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.

POSITION DESCRIPTION:

INADEV is seeking a strong cross-functional candidate to join our team to help in all stages of the program lifecycle from capture to team building to running the full program. The ideal candidate is extremely passionate about the domain, has a technical background, and experience within the federal government, in either a full-time capacity or as a government contractor. We are currently looking for a data scientist that will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Primary focus will be in natural language processing (NLP), applying data mining techniques, doing statistical analysis and building high quality prediction systems.

NON-TECHNICAL REQUIREMENTS:

• Must be a US Citizen
• Ability to pass a 7-year background check and be able to obtain a US Public Trust
• Must be open to working a Hybrid Schedule (2-3 days a week) in Mclean, VA
• Strong interpersonal, communication, and presentation skills
• Must have critical thinking and analytical skills.
• Excellent time management skills and working within aggressive delivery schedules.

MANDATORY REQUIREMENTS/SKILLS:

Bachelor’s Degree (or Mathematics/Statistics focused) and 5+ years of experience as a Data Scientist with a deep understanding and experience in the following areas:

• Machine learning techniques and algorithms, such as k-NN (K-nearest neighbors), Naive Bayes, SVM (Support vector machines), Decision Forests, etc.,
• Natural Language Processing.
• Common data science toolkits such as Pandas & NumPy.
• Data visualization tools, such as Tableau etc.,
• Query languages such as SQL.
• NoSQL databases, such as MongoDB, Couchbase and SQL databases such as Postgres.
• Applied statistics skills, such as distributions, statistical testing, regression, etc.,
• Scripting and programming skills using Python, scikit-learn library and other statistical analysis libraries/framework.
• Proficient with Linux based operating systems & Shell/Bash scripting.
• Hands-on experience running applications on cloud platforms, such as AWS or Azure.
• Proficiency in using Docker images and containerization.
• Proficiency in using CLI (command line interface) to automate and create repeatable processes.
• Must have worked in a large and complex computing environment.
• Deep understanding of APIs, web applications.
• Must have worked in a medium to large-scale project using configuration management tools, techniques, and GitHub.
• Strong interpersonal, communication, and presentation skills.
• Excellent time management skills and working within aggressive delivery schedules.
• Ability to troubleshoot and fix issues.

Please refer the Job description for details