Data Scientist
WHAT WILL YOUR JOB OFFER BE LIKE?
Full-time, with 6 months internship and near certain permanent employment afterwards, based on performance and cultural fitting.
WHERE DOES THE MAGIC HAPPEN?
Milan, Via Calabiana 6. We work in a vibrant co-working space called Talent Garden located in a very up and coming neighborhood, with plenty of hip pubs for aperitivos where we celebrate our victories. The co-working space has a warm and welcoming crowd of all ages allowing plenty of knowledge sharing and hangout opportunities. If you are an introvert, then sweat not, we have a lot of quiet spaces and cubicles where you can code away in solitude.
PERKS OF WORKING WITH QUICK ALGORITHM
- Breakfast, lunch, snacks and access to a top-notch cafe awaits you at QA
- Gadgets and accessories to help you roll out code like hot cakes
- Books and online resources to your heart's content for skill and personal development
- Unlimited leave plans
- Possibility to work from home
WHAT YOU WILL BE DOING AT QUICK ALGORITHM
- Work with Product Managers to implement the next generation of Quick Algorithm applications
- Conduct preliminary data analysis using Python
- Helping in the development of new ML algorithms and routines
- Record notes in technical meetings, collecting action items and following up with the correct teams
WHAT WE EXPECT YOU TO KNOW BEFORE YOU JOIN
- Experience with Python
- Exposure to Spark / PySpark in coursework or projects is a big plus
- Have completed coursework in data science, machine learning or econometrics
- Ability to work autonomously, self-disciplined
- Ability to review and QA your work
- Precise and concise oral and written communication skills
- Currently taking Masters level coursework in Data Science
- Familiar with version control systems (Git/Github or SVN) is a plus
- Fluent in English
SOUNDS GREAT! NOW, HOW DO I APPLY FOR THIS JOB
Click on the "Apply Now" button below and please take a moment to introduce yourself and tell us why you would be a fit for Quick Algorithm. Fill the form with your information and your resume.
QA is a Proud User of
|
|
|
|
|
|
|
|