Senior Data Scientist

Fuse Engineering

Fort Meade (MD)

On-site

USD 90,000 - 140,000

Full time

14 days+

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Job summary

An established industry player is seeking a Senior Data Scientist to join their innovative team. This role involves designing and implementing advanced machine learning models and conducting in-depth statistical analyses. The ideal candidate will bring a wealth of experience in data management and programming, particularly in Python. You'll be at the forefront of data-driven decision-making, leveraging your expertise to tackle complex challenges. If you are passionate about data science and eager to make an impact, this opportunity is perfect for you.

Qualifications

  • 10 years of relevant experience in data science and machine learning.
  • Strong background in statistical analysis and data management.

Responsibilities

  • Design and implement machine learning models and algorithms.
  • Conduct statistical analysis and data cleaning.

Skills

Machine Learning
Statistical Analysis
Data Management
Data Mining
Programming (Python)
Data Modeling

Education

Bachelor’s Degree
Associate’s Degree

Job description

Join to apply for the Senior Data Scientist role at Fuse Engineering.

Description

Relevant experience must include designing and implementing machine learning models, data science projects, advanced analytical algorithms, programming (preferably in high-level languages such as Python), statistical analysis (including variability, sampling error, inference, hypothesis testing, exploratory data analysis, and linear models), data management (data cleaning and transformation), data mining, data modeling, assessment, artificial intelligence, and/or software engineering.

Requirements

  • Bachelor’s Degree with 10 years of relevant experience, or an Associate’s Degree with 12 years of experience, especially if the experience is in-depth and clearly related to the role.
  • Must possess at least two of the following skill areas: Data processing (management, curation, description, visualization, workflow, reproducibility).
Additional Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Engineering and Information Technology
  • Industries: IT Services and IT Consulting
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