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Middle Data Scientist

10 hours, 41 minutes ago
Ukraine
Full-time
Mid Level
Data Scientist
Data Science and Analytics
Feature Engineering Machine Learning NumPy Pandas Python PyTorch Scikit-learn SQL TensorFlow
Apply Now
Simulmedia

Simulmedia

Simulmedia is a pioneer in cross-channel TV advertising, offering advertisers the reach of linear TV combined with digital targeting. Their VAMOS platform enables intelligent audience optimization and direct sales attribution, revolutionizing TV advert...

Media
51-250
Founded 2008
$87M raised
View All Jobs 4

Description

  • Develop and maintain supervised machine learning models for ad targeting, measurement, and campaign optimization.
  • Perform data analysis, data validation, and feature engineering on large, complex datasets.
  • Collaborate with product, engineering, and analytics teams to translate business needs into data science solutions.
  • Evaluate model performance using appropriate metrics and iterate on improvements.
  • Support optimization and experimentation efforts related to advertising performance.
  • Assist with deploying models to production in collaboration with engineering teams.
  • Monitor model performance and troubleshoot issues in production.
  • Communicate results, insights, and limitations to technical and non-technical stakeholders.
  • Stay up to date with best practices in data science and machine learning.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • 2–4 years of experience in data science, machine learning, or a related analytical role.
  • Hands-on experience applying machine learning to real business problems.
  • Proficiency in Python.
  • Solid experience with SQL and relational databases.
  • Experience with machine learning libraries such as scikit-learn; TensorFlow or PyTorch is a plus.
  • Good understanding of supervised learning techniques, including linear regression, logistic regression, decision trees, random forests, and gradient boosting.
  • Experience with data manipulation and analysis using pandas and NumPy.
  • Familiarity with model evaluation techniques and performance metrics.
  • Basic understanding of production systems or machine learning pipelines is a plus.
  • Strong analytical and problem-solving abilities.
  • Ability to work independently while collaborating within a team.
  • Clear communication skills and ability to explain technical concepts simply.
  • Strong organizational skills and attention to detail.
  • Comfortable communicating with U.S.-based teams.
  • Based in Ukraine, with primarily remote work and occasional in-person meetings in Kyiv or Lviv.

Interested in this position?

Apply directly on the company website

Apply Now

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