3 дня назад
Data Scientist I (AI/ML)
66 456 - 115 554$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist I (AI/ML): Transforming raw data into insights, tools, and data science applications for Ground Enterprise decision-making with an accent on unstructured data analysis, cloud and on-premises model operations, and data pipeline development. Focus on analyzing high-volume and high-velocity data, developing advanced analytics and automated workflows, and delivering actionable recommendations from complex data.
Location: Chantilly, Virginia, United States; no remote or telework allowed
Projected compensation: $66,456.39–$115,554.76 annually.
Company
is a federal government contractor developing systems, software, data science, and AI/ML solutions for Ground Enterprise customers.
What you will do
- Transform raw data into insights, decision-support tools, metrics, and actionable recommendations.
- Help onboard, operate, and transition large-scale data science and AI/ML models in cloud and on-premises environments.
- Support reliable, secure pipelines for data, software, and algorithm delivery across domains.
- Analyze unstructured and semi-structured data using techniques such as latent semantic indexing, entity identification, tagging, complex event processing, and distributed analytics.
- Process and index high-volume data collections and high-velocity data streams.
- Support the development and deployment of applications, data management plans, advanced data fusion, and automated workflow solutions.
Requirements
- Ability to obtain and maintain a TS/SCI clearance with polygraph.
- Entry-level profile with a bachelor's degree and 0–2 years of experience, or equivalent high-school-level experience of 6–8 years.
- Strong analytical skills and interest in solving technical problems.
- Good presentation and communication skills.
- Ability to work independently and in a team environment.
- Experience with or understanding of cloud-based tools for data analysis.
Nice to have
- Degree in engineering, computer science, data science, imaging science, mathematics, physics, or a related technical field.
- Experience with machine learning, algorithm analysis, data clustering, data mining, statistics, predictive analytics, and reporting.
- Experience with Python, R, MATLAB, Java, Linux, Ruby, .NET, C#, C++, or Fortran.
- Experience with textual processing, entity extraction, conceptual search, visual analytics, or Unix/Linux scripting.
Culture & Benefits
- Regular full-time employment.
- Health and life insurance, paid time off, holiday pay, and disability coverage.
- Retirement and savings programs.
- Learning and development opportunities and wellness programs.
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