Summary | Data Scientist – Tel Aviv
Who are we?
MIcompany is a consultant company specialized in Big Data Analytics for businesses with offices in Amsterdam and Tel Aviv. With our team of more than 50 young and ambitious professionals, we build data analytics capabilities for international blue chip companies. Our goal is to drive sustainable business value using the power of data analytics. We achieve this through discovery programs in which we search for opportunities and capture their potential by use case implementation. We make this impact sustainable by building capabilities in the fields of people & organization, models & metrics and data & technology.
In our projects we are constantly looking for opportunities to innovate. We implement the newest modeling techniques, create state-of-the-art technology solutions and unlock new data sources using data capturing techniques. To ensure these innovations contribute to sustainable value creation, we combine them with our expert business knowledge and cross-industry experience. This led to long term relationships with successful national and international companies like Max, IDB and Shufersal., bol.com, Achmea, KPN, and booking.com .
Starting at MIcompany, you join an extremely talented and ambitious team environment contributing to a very steep learning curve in the fields of data analytics business domain and leadership. We love to work with young talented people. In order to transform them into successful data scientists, we constantly focus on personal development. At MIcompany we always challenge you to beat your own expectations!
Why work for MIcompany?
Join us and become an AI expert by building an international career.
At MIcompany, you will accelerate your career with cross-company exxperience, working for leading corporates such as booking, Nike, and Shufersal. You will work with 50 other Data Scientists building modeling, tech and consulting skills.
We focus and invest in personal development, offering a three-year Analytical Talentship Program with ongoing personal coaching from experienced Data Science leaders.
Build our new IL office in the center of TA by shaping our office and taking part in team building events in a positive team evniornment
What is the position about?
As a Data Scientist, you will be working in a team with other Data Scientists and Technical Analysts. From the start you will contribute to challenging projects for the top of the industry. You will be building meaningful, innovative and impactful analyses using advanced analytical techniques. Your work is very diverse, on a strategic, analytical and technical level. From data preparation in Python and conducting analyses in R to building presentations and convincing the executive board with your advice.
What do we have to offer?
-A kick-start of your career as a Data Scientist in the young and ambitious MIcompany team. -A unique working environment with focus on your personal development. Including the opportunity to join our three-year MIacademy Analytical Talentship Program. This program, consisting of 15% of your working time, will ensure that you will reach the absolute top of the industry. -A positive team environment with quarterly team building events and weekly drinks and team dinners.
-Build international carreer with practicle experience at leading companies
Who are we looking for?
We are looking for new talents to grow our TA team who recognize themselves in the following profile:
-Recently graduated BSc with excellent results in Statistics, Mathematics, Computer Science, Industrial Engineering, Physics, Natural Sciences or another quantitative field.
-Excited to work internationally for internation clients -Analytical, curious, and ambitious. Result-driven, pragmatic and persuasive. -A passion for solving complex business challenges using advanced analytics on large amounts of data. The drive to contribute to innovative data analytics projects in an ambitious and fast growing company. Focus on personal development and eager to learn. Proficiency in the Hebrew and English language.