We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine learning and research.
This is a unique opportunity to become a part of our start-up's agile team.
We are looking for an experienced Data Scientist to help us lead the company's financial growth.
Hotelmize is a Fintech-travel start-up that uses high-end technology to solve some of the huge challenges of the evolving travel industry.
In our team, you'll find welcoming, hard-working, fun, and willing to teach and learn people. So if you are a motivated Data Scientist looking for a team of wonderful people, please apply!
This is a full-time position at our offices in Tel Aviv (Hybrid office model is also available).
Your goal will be to help our company analyze trends to make better decisions. Data Scientist responsibilities include:
- Undertaking data collection, preprocessing, and analysis.
- Building models to address business problems
- Presenting information using data visualization techniques.
- Proven experience as a Data Scientist
- Ability to self-manage, select data science technologies and frameworks on one’s own
- Experience in data mining
- Understanding of machine-learning and operations research
- Experience using business intelligence tools and data frameworks (e.g. Hadoop) – Advantage
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
Responsibilities
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
