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Data Scientist

Altus LLC
Herndon, VA, United States
2 months ago
Apply on dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source
dice.com

Tech stack

Data Analysis Data Visualization Machine Learning Power BI Tensorflow Tableau (Software) Pytorch Scikit Learn Information Technology Data Analytics

Job description

  • Collect, clean, and prepare data for analysis.
  • Develop and implement machine learning models for various tasks (e.g., classification, prediction, recommendation).
  • Analyze data to identify trends, patterns, and insights.
  • Communicate findings and recommendations to stakeholders in a clear and concise manner.
  • Collaborate with engineers and other data professionals to build and deploy data-driven solutions.
  • Stay up-to-date with the latest advancements in data science techniques and technologies.

Requirements

  • Strong mathematical and statistical skills.
  • Experience with machine learning algorithms and libraries (Scikit-learn, TensorFlow, PyTorch).
  • Experience with data visualization tools (Tableau, Power BI).
  • Excellent communication and presentation skills.
  • Strong problem-solving and critical thinking skills.
  • Ability to work independently and as part of a team., * Active TS/SCI with poly clearance is required.
  • Bachelors degree in Data Science, Statistics, Computer Science, or related field.
  • 2+ years of experience in data science or a related role.
  • Understanding of machine learning concepts and techniques.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

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Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

3:55 min

Evaluating central server APIs against edge deployment models

Hauke Brammer · World Congress 2021

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · World Congress 2026 Europe

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Europe 2026 Virtual • 2 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

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LIVE • over 5 years ago

Machine learning in the browser with TensorFlowjs

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World Congress 2026 Europe • about 2 months ago

Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)

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World Congress 2025 • about 1 year ago

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

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