Data Scientist
Razor Labs
Data Science
Tel Aviv-Yafo, Israel
Posted on Thursday, May 23, 2024
Description
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.
Requirements
- 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.