Remote Data Science Engineer: Deploy ML in Production

dHired.com

South Dakota

On-site

USD 110,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Dynamic work environment
Competitive salary
International project opportunities
Professional development opportunities
Flexible working hours
Open-minded international team

Job summary

SD Solutions is a product company with remote work options and an office in Kyiv, Ukraine. We are seeking a Data Scientist to join our data science team on a full-time basis.

You will deploy ML models end-to-end, collaborate with product and data engineers, and apply time-series analysis, NLP, and other techniques. Must have MSc in a relevant field and 3+ years of experience; SQL and Spark skills are required.

Qualifications

  • MSc degree in Data Science, Statistics, Math, Physics, Engineering, or a similar relevant subject.
  • 3+ years of hands-on experience as a Data Scientist.
  • Experience in SQL, Spark, and related data technologies.
  • Statistical modeling experience, analytical skills, and engineering skills.
  • Ability to quickly learn new technologies, frameworks, and algorithms.

Responsibilities

  • Deploy models and data science solutions to production end-to-end.
  • Explain results and insights to product and business teams.
  • Perform research and analysis to solve complex problems using ML techniques (time-series, NLP, DL).
  • Collaborate with product, data engineers, and R&D for optimal solutions.
  • Run research and POCs for new technologies as part of continuous improvement.

Skills

Data Science
Machine Learning
Statistical Modeling
Analytical Skills
Engineering Skills

Education

MSc in Data Science / Statistics / Math / Physics / Engineering

Tools

SQL
Spark

Job description

SD Solutions is a product company with remote work options and an office in Kyiv, Ukraine. We are seeking a Data Scientist to join our data science team on a full-time basis.

You will deploy ML models end-to-end, collaborate with product and data engineers, and apply time-series analysis, NLP, and other techniques. Must have MSc in a relevant field and 3+ years of experience; SQL and Spark skills are required.

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