Sr Data Scientist (US Citizen)

Arlington, VA, USA, 22201

IT Hub Inc

From strategy consulting to implementation, we provide solutions for customers wanting to provide innovative business and advanced technology services that deliver results. IT Hub offers a range of expertise in various industries serving both...

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What you'll be doing:
  • Working on an advanced, complex technical project requiring state-of-the-art technical or industry knowledge.
  • Analyzing large and complex datasets to identify business trends, patterns, problems, and
  • Interpreting results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining.
  • Developing and implementing machine learning models and
  • Collaborating with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Designing, developing, and implementing the most valuable business solutions for the
  • Preparing big data, implementing data models, and developing database(s) to support business
  • Using data analytics and Artificial Intelligence/ Machine Learning (Al/ML) to recommend support for business needs.
  • Communicating findings and insights to both technical and non-technical
  • Designing and maintaining data pipelines and
  • Performing data wrangling, cleansing, and preprocessing to ensure data
  • Working with project team members, subject matter experts, and senior

 

What you'll need:
  • Master's degree in computer science, information systems, technology, or related
  • 10 years of experience as a Data Scientist or in a similar
  • US Citizenship (required by federal government).

 

Additional Qualifications:
  • Proficiency in programming languages such as Python, R, and
  • Experience with data visualization tools like Power Bl or similar
  • Familiarity with cloud platforms; most specifically Microsoft
  • Strong knowledge of machine learning algorithms and statistical modeling
  • Experiencewith data wrangling, cleansing, and metadata
  • Strong analytical and problem-solving
  • Excellent communication skills and collaboration
  • Ability to translate technical findings into business
  • Ability to work cross-functionally with business and IT
  • Ability to identify problems; determine accuracy and relevance of information; use sound judgement to generate and evaluate alternatives and make recommendations.
  • Ability to work independently in a fast-paced
  • Ability to thoroughly pay attention to details when performing and reviewing
  • Ability to work with clients and customers to assess their needs, provide information or assistance, resolve their problems, and satisfy their expectations.
  • Proficiency in using Microsoft applications (Word, Excel, PowerPoint, SharePoint, Teams, and Visio).

 

Preferred Skills/Experience
  • Experience with Big Data
  • Familiarity with containerization and DevOps
  • Experience with ETL tools and data
  • Working understanding of Federal IT services models and frameworks to support the project team to meet client requirements.
  • Exceptional verbal and writing communication skills, including editing and
  • Demonstrated customer service orientation and outstanding level of professionalism in providing client support.

 

IT Hub Inc is SBA HUBZone certified and an Economically Disadvantaged Women-Owned Small Business (EDWOSB). IT Hub Inc is also Virginia SWaM certified. From strategy consulting to implementation, we provide solutions for customers wanting to provide innovative business and advanced technology services that deliver results. IT Hub offers a range of expertise in various industries serving both government and commercial clients. Understanding client requirements and unique processes that are often times required for end-to-end IT solutions is what IT Hub does best.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Big Data Computer Science Consulting Data Analytics Data Mining Data pipelines Data visualization DevOps ETL Excel Machine Learning ML models Pipelines Python R SharePoint Statistical modeling Statistics

Region: North America
Country: United States

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