We are seeking a proficient Data Scientist-Freelance. The role involves crafting and refining strategies for data handling and analysis, developing predictive models, and deploying a batch pilot system. The candidate will play a crucial role in interpreting complex data patterns and translating them into actionable insights.
Location: Tel Aviv
Scope: 2-3 days per week, at least 2 days in the office
Responsibilities:
Lead data collection, ensure dataset completeness, and prepare data for analysis.
Create and enhance data analysis methodologies for a tailored recommendation engine.
Build and refine predictive models using statistical and machine learning techniques.
Extract insights from data, and compile reports on findings and system performance.
Location: Tel Aviv
Scope: 2-3 days per week, at least 2 days in the office
Responsibilities:
Lead data collection, ensure dataset completeness, and prepare data for analysis.
Create and enhance data analysis methodologies for a tailored recommendation engine.
Build and refine predictive models using statistical and machine learning techniques.
Extract insights from data, and compile reports on findings and system performance.
Requirements:
Proven experience in data science, with a strong portfolio demonstrating expertise in statistical analysis, machine learning, and predictive modeling, with a minimum of 3 years' experience.
Expertise in programming languages such as Python, and familiarity with data science and machine learning libraries.
Extensive experience with data manipulation, cleaning, and visualization techniques.
Excellent analytical, problem-solving, and communication skills.
Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field.
Proven experience in data science, with a strong portfolio demonstrating expertise in statistical analysis, machine learning, and predictive modeling, with a minimum of 3 years' experience.
Expertise in programming languages such as Python, and familiarity with data science and machine learning libraries.
Extensive experience with data manipulation, cleaning, and visualization techniques.
Excellent analytical, problem-solving, and communication skills.
Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field.
This position is open to all candidates.