Senior Data Scientist: AI/ML, MLOps, Advanced Analytics

Erias Ventures, LLC

Annapolis (MD)

On-site

USD 240,000 - 265,000

Full time

6 days ago
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Benefits offered by this job

Above Market Pay
11% Roth or 401k with immediate vest
Spot Bonuses for business development
Professional Development Bonuses

Job summary

Erias Ventures, LLC is seeking a data scientist to develop machine learning, data mining, and graph-based algorithms to derive insights from complex datasets. You will prototype models, choose final approaches based on performance, and build automated analytics integrated into analyst workflows.

Responsibilities include translating domain expertise into actionable analytics, generating reports, and deploying prototype algorithms within production frameworks for customer use.

Qualifications

  • Bachelor's degree or higher in a quantitative field (e.g., statistics, math, OR, CS).
  • At least 10 years in two or more: ML design/implementation, data mining, analytical algorithms, AI, or software with data analysis tools.

Responsibilities

  • Develop ML, data mining, statistical and graph-based algorithms to analyze datasets.
  • Prototype and compare multiple models; select final model based on performance metrics.
  • Produce reports and visualizations; partner with SMEs to automate analytics in production frameworks.

Skills

MLOps
Data science
Data mining
Analytical algorithms
Artificial intelligence
Software engineering
Python
R
MATLAB
Experiment design

Education

Bachelor's degree in a quantitative discipline

Tools

R
Python
SAS
MATLAB

Job description

Erias Ventures, LLC is seeking a data scientist to develop machine learning, data mining, and graph-based algorithms to derive insights from complex datasets. You will prototype models, choose final approaches based on performance, and build automated analytics integrated into analyst workflows.

Responsibilities include translating domain expertise into actionable analytics, generating reports, and deploying prototype algorithms within production frameworks for customer use.

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