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SENIOR DATA SCIENTIST

Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 
Latvia

Offer summary

Qualifications:

Expertise in data science methodologies, Strong proficiency in Python, Experience with MLOps pipelines, Knowledge in data visualization tools.

Key responsabilities:

  • Design and implement data solutions
  • Build internal automation packages
CV-Online Latvia logo
CV-Online Latvia Human Resources, Staffing & Recruiting TPE https://www.cv.lv
11 - 50 Employees
About CV-Online Latvia
CV-Online is the first and leading online recruitment company in the Baltic States. It has been successfully operating in Latvia for more than 20 years by becoming the primary choice for majority of employers and job seekers looking for a perfect match when choosing a new employee or job.CV-Online Latvia has several business lines and brands the best known of which are CV.lv, the number one job portal in Latvia for specialists, and CV-Online Recruitment, one of the leading recruitment agencies in Latvia.CV-Online offers the largest number of jobs for professionals and widest choice of hiring and recruiting solutions for organisations.CV-Online – Your most trusted partner in recruitment and job market!
See more CV-Online Latvia offers

Job description

  • Design and implement data solutions based on business and technical requirements

  • Build internal python packages for automation and standardisation of manual analytics tasks

  • Build MLOps pipelines and integrate solutions into existing processes

  • Engage in data extraction, manipulation, and visualization.

  • Collaborate with stakeholders to identify high-value data solutions

  • Develop predictive and prescriptive models to improve business processes

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Predictive ModelingData VisualizationPython (Programming Language)MLOps (Machine Learning Operations)Data ManipulationStakeholder ManagementBusiness Process ImprovementData Extraction
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