Data Scientist

Intellect Solutions LLC

• $95K — $115K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • U.S. Citizenship and an active Secret Clearance required.
  • Lifelong learner eager to share knowledge and foster growth in others.
  • Strong skills in qualitative and quantitative analysis.
  • Ability to provide adaptable solutions for decision-making at command level.
  • Hands-on experience with data modeling and management.
  • Proficiency in developing analytic models with commercial and open-source tools like Jupyter and Tableau.
  • Experience deploying, monitoring, and updating machine learning models in production environments.

Responsibilities

  • Drive mission analytics and visualization initiatives for USTRANSCOM.
  • Research and conduct data modeling and analytics using advanced machine-learning methods.
  • Develop and implement process and technology solutions for data management.
  • Create and enhance web-based systems for insights-driven decision-making.
  • Monitor and update analytics models in various programming languages and frameworks.
  • Support cloud implementations for machine learning analytics and data migration.
  • Design intuitive user experiences that streamline information access.

Benefits

  • Opportunity to work within an EDWOSB and Hub Zone Certified Firm.
  • Engagement in hands-on research and innovative data solutions.
  • Collaboration with a passionate team focused on problem-solving.
  • Chance to influence decision-making at a high command level.
  • Access to modern tools and technologies for data analytics.
Full Job Description
Job Description

Intellect Solutions LLC, an Economically Disadvantaged Woman Owned Small Business (EDWOSB) and Hub Zone Certified Firm is seeking a Data Scientist to drive mission analytics and visualization initiatives used in the USTRANSCOM change and knowledge management processes. As an Intellect Solutions Data Scientist, you will have the opportunity to research, experiment and conduct data modeling, data management and data analytics while utilizing machine-learning models, workflows and tools. You will also lead or assist is developing and implementing systems engineering, process and technology solutions that allow rapid association of broadly sourced data sets in a graphically interactive user-space to facilitate information sharing and decision-making. The ideal candidate must be passionate about solving problems, discovering insights, and support decisions using data.

Required Skills
  • U.S. Citizenship, required Active Secret Clearance.
  • Must be a lifelong learner, willing to share and grow the knowledge of those around them.
  • Strong qualitative and quantitative analysis skills.
  • Provide technology, activity, and scale agnostic solutions to establish and operationalize insights-driven decision-making at the command level and align outputs to command operational requirements through web-based systems.
  • Conduct data modeling and management to assemble data structures and lineage
  • Develop analytic models and tools using a variety of commercial-off-the-shelf and open source capabilities like Jupyter or Zeppelin notebooks and exposed application programing interfaces, as well as business intelligence, and visualization tools such as Tableau, Qlik, and COGNOS
  • Research, develop, and apply statistical and machine learning model workflows and tools such as Argo and Kubeflow Pipelines to build, train, and test new machine learning models, such as ModelDB to carry out model tuning, data and model provenance, and storing trained models
  • Deploy, monitor, and update models in production, and languages and frameworks such as Python, R, Julia, Scala, and several legacy deep-learning libraries such as Theao, Caffe2, and Torch
  • Assist the command with cloud implementations, including assessment, application rationalization, data migration and management, and machine learning and artificial intelligence analytics in a cloud environment
  • Recommend improvements to associated workflows as defined by the customer
  • Create user space that is primarily enabled by automatically accumulated, compiled, processed, and correlated information of value
  • Design and create user experience for an intuitive output consisting of 'fewest clicks to an answer' while iteratively creating capacity for 'minimum viable capability' with extensibility as a core tenant
  • Connect data sources across an organization, align datasets to a unified schema, consolidate a unified dataset through entity de-duplication and mastering when necessary, and classify records into a taxonomy for downstream analysis

Required Experience
  • BS/BA in related degree such as Data Analytics, Operations Research, Economics, Engineering, Mathematics, etc. (Other education, commensurate experience and demonstrated ability of individual may be substituted)
  • Minimum of 2-3 years professional work experience providing data analytics services.


Qualifications

Additional Information

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