Remote - Senior Data Scientist`

Key Skills

Java Programming, Design of Experiment, Python Programming, SQL, PyTorch, TensorFlow, Docker, Kubernetes-K8s, Scikit-learn, PostgreSQL, MySQL, Linux Operating system

Job Description

Bachelors degree in Engineering, or a related Science or Mathematics field, plus 8 years or Masters degree plus 6 years.

CLEARANCE REQUIREMENTS:
Candidates must be able to obtain a Department of Defense Top Secret security clearance within a reasonable amount of time after hire, with acceptable timing determined by manager. An active Top Secret security clearance at time of hire is highly desired. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.

Responsibilities for this Position

GDMS Deep Learning Analytics Center of Excellence (DLACoE) is looking for a data science professional having a wide range of data integration, data visualization, big data, and programming skills. Candidates should possess a demonstrated understanding of artificial intelligence, machine learning and/or data engineering with the ability to apply these skills under real world conditions.

Our Commitment to You:

• A career path that allows you to take your career to the next level
• Access to expansive and diverse datasets to grow your data science portfolio
• Research oriented work, alongside award winning teams to develop practical solutions that will directly impact the companys bottom line
• Training budget to help you grow by developing your professional skills, attending conferences, and obtaining certifications.
• Flexibility to fully manage your own schedule including a hybrid work schedule to allow for a blend of in office and remote work
• Interaction with diverse and dispersed teams
• 6 weeks of paid parental leave + 1 week of flexible time off

What Youll Do:

• Lead the design and development of machine learning algorithms

• Identify valuable data sources and automate collection processes
• Wrangle, pre-process, and manipulate data for use in machine learning algorithms
• Collaborate with customer/domain experts through research and development
• Have familiarity with deep learning algorithms, design considerations, and methods to overcome limitations or constraints due to hardware or data
• Plan and conduct experiments to improve model performance
• Optimize deep architectures for performance, and implement systems to formalize and support such optimization
• Communicate results to team members and/or non-technical leadership
• Present new concepts clearly through oral and visual media
• Represent DLA CoE as a subject matter expert (SME) across the organization and with senior leaders
• Perform Project Management duties
• Planning, budgeting resources, and delivering to milestones

• Draw on expertise and research to apply data science and machine learning to challenging problems over a broad range of domains
• Direct and collaborate with a dispersed and diverse team of engineers and scientists to implement data driven solutions
• Provide mentoring and training to team members
• Contribute to business development including technical proposals, whitepapers, and customer presentations

Skills Youll Bring:

• Machine learning and deep learning in Python (including scikit-learn, TensorFlow, PyTorch, etc.)
• Familiarity with the Linux command line (bash and shell scripting)
• Experience working with large, complex datasets (images, cyber, NLP, and other signals)
• Experience with distributed version control systems and DevOps tools (e.g. Gitlab, Git, Docker, Kubernetes)
• Data preparation and corpus filtering (with PostgresSQL, mySQL, and other DBs)
• Validation methods
• Experimental design
• Excellent written and verbal communications skills

COVID-19 Precautions:

• Remote interview process
• Virtual onboarding
• Virtual meetings