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Data Science Freelancers in Tel Aviv
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Find & Hire Data Science in Tel-aviv who are professionals offering their expertise in various Freelance Data Science Services to businesses near Tel-aviv and around the world. Tel-aviv is home to a large pool of talented and experienced Data Science freelancers who can help businesses with professional Data Science services in Tel-aviv. Freelance Data Science services in Tel-aviv are quite affordable on our platform compared to hiring full-time employees.
Truelancer.com provides all types of Freelance Data Science with a range of skilled and talented freelancers in Tel-aviv. We offer the opportunity to save 50% of your business cost by hiring Tel-aviv Data Science freelancers.
Expert Data Science freelancers for hire in Tel-aviv are skilled in using the latest Data Science tools and techniques to deliver effective results for their clients for anytype of Data Science jobs in Tel-aviv . With the help of Data Science freelancers in Tel-aviv, businesses can get their work done quickly. Using Truelancer.com is 100% safe as the money is released to the freelancers after you are 100% satisfied with the work.
Popular Services from Data Science Experts
Professionals offering Data Science Services
Popular Tools used by Data Science Experts
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Only Pro Freelancers
SKILLS
COUNTRIES
Technology expert, AI\ML, AWS, GCP, startups
Im a serial entrepreneur with two decades of founding technology startups.
$ 100/hr
Senior motion and broadcast designer, and video creator
I’m a seasoned motion designer with a diverse background across multiple creative fields. For over eight years, Ive had the opportunity to work across various i...
$ 55/hr
Rewriter
Im an online student so I can do my job efficient and Im known about my speed at work
$ 12/hr
Senior Software Engineer
Seasoned software engineer, 9 years of experience with backend technologies and still carry the same passion I had at day1 for designing, implementing and fixin...
$ 50/hr
$ 15/hr
When hiring Data Science professionals, prioritize candidates with strong foundations in statistical analysis, machine learning, and data visualization. Look for portfolios demonstrating successful predictive modeling, big data processing, and real-world business impact. Proficiency in tools like Python, R, and cloud data platforms is essential. Clear project scoping and onboarding are critical to align expectations and ensure measurable outcomes. Emphasize candidates’ ability to translate complex data into actionable insights and their experience with scalable data pipelines and AI integration.
Data Science freelance rates vary significantly by region due to demand and expertise availability. In North America, rates typically range from USD 50 to 120 per hour, reflecting high demand for advanced analytics and machine learning skills. Western Europe offers competitive rates between USD 45 and 100, while Eastern Europe provides cost-effective expertise at USD 30 to 70 per hour. South Asia and Southeast Asia present more affordable options, ranging from USD 15 to 45, suitable for startups and mid-sized projects. Latin America and Africa offer moderate rates between USD 20 and 55, with growing markets in data-driven solutions. Oceania rates align closely with Western Europe, spanning USD 45 to 95 per hour.
Data Science careers span industries such as finance, healthcare, retail, and technology, offering diverse opportunities for professionals. Freelancers and remote workers can leverage in-demand tools like TensorFlow, Apache Spark, and Tableau to deliver impactful analytics solutions. The global demand for data science expertise continues to grow, with competitive earning potential especially in North America and Western Europe. Building skills in machine learning, deep learning, and cloud platforms enhances employability and opens doors to advanced roles in AI and big data engineering.
Python and R dominate the data science landscape as primary programming languages, supported by powerful libraries like Scikit-Learn and TensorFlow for machine learning and deep learning. Cloud analytics platforms such as AWS SageMaker and Google Cloud AI Platform provide scalable infrastructure for model deployment. Tableau and Power BI lead in data visualization, while Apache Spark offers robust big data processing capabilities. Emerging open-source alternatives and integrated notebooks like Jupyter enhance collaboration and innovation in data science workflows.
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