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Data Scientist at Fractl Consulting

Remote: 
Full Remote
Contract: 
Salary: 
115 - 140K yearly
Experience: 
Junior (1-2 years)
Work from: 

Offer summary

Qualifications:

M.S. in quantitative field, 1-2 years as Data Scientist, Understanding of ML and Python skills.

Key responsabilities:

  • Analyze, cleanse and structure data
  • Design prediction algorithms, provide insights
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Fractl Consulting
2 - 10 Employees
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Job description

Data Scientist

This position will join a team whose primary focus will be Government Contracts.

As a Data Scientist, you will support enabling and growth for the existing automation efforts and drive their natural language processing efforts. This is a cross-functional team that is adding talent at all levels.

As an early member of the team, your experience is going to be valuable in making data-driven decisions.

Location: Remote

Salary: $115k - $140k base salary with full benefits

Visa Status: US Citizen

Responsibilities

  • Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
  • Design accurate and scalable prediction algorithms
  • Collaborate with the engineering team to bring analytical prototypes to production
  • Generate actionable insights for business improvements

Qualifications

  • M.S. in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
  • At least 1 - 2 years of experience as a Data Scientist
  • Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms
  • Fluency in Python
  • Worked with terabytes of data

For further details please submit a resume.

Fractl Consulting is acting as an employment business in relation to this advert. As a professional company, we gladly welcome applications from persons of any age and background and do not intend to discriminate with advert text and terminology.

Required profile

Experience

Level of experience: Junior (1-2 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

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