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Data Scientist

Razor Labs

Razor Labs

Data Science
Tel Aviv-Yafo, Israel
Posted on Thursday, May 23, 2024


We are seeking a highly qualified Data Scientist to join our innovative team. You will play a key role in driving our ground-breaking products forward by providing critical data driven insights. You will be analyzing, interpreting, and extracting diverse datasets, including multi-dimensional data, time series and Video.

  • Extract valuable insights from multi-dimensional data, time series and Video.
  • Collaborate closely with cross-functional teams to understand business requirements and translate them into actionable data-driven solutions.
  • Manage and develop data pipelines from various sources, such as XLS, CSV, JPEG, and Image Raw data.
  • Create meaningful data visualizations and dashboards to effectively present findings and insights.
  • Work with engineers and software developers to integrate data science solutions into existing systems and workflows.
  • Stay updated with the latest advancements in data science, machine learning, and AI technologies.


  • At least 3 years of professional experience in data science or a related field.
  • Proficiency in Python programming and libraries such as Pandas, NumPy, SciPy, and Pytorch.
  • Strong experience with parsing, analyzing, and summarizing data statistically.
  • Familiarity with various data types, including Parquet, XLS, CSV, Images.
  • Familiar with database technologies such as BigQuery, PostgreSQL.
  • Bachelor's degree in Computer Science, Statistics, Mathematics
  • Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Demonstrated ability to follow development procedures and best practices, including version control, code documentation, and testing.
  • Strong problem-solving skills and attention to detail.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Bonus Skill:**- Experience with running analytical models using ML toolbox or similar platforms.