Data Scientist

We are Kaizen Gaming

Kaizen Gaming is the leading GameTech company in Greece and one of the fastest-growing in the world, operating in 13 markets with 2 brands, Betano & Stoiximan.

We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.

We are a diverse team of more than 2.200 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to press play on potential?

Let's start with the rol

eAt Kaizen, our aim is to make data driven decisions in order to automate our servicers while also focusing on offering tailored customer experiences. Our machine learning team is dedicated towards this mission by building a variety of models, from binary classification tasks up to recommendation systems. We focus on transforming business needs into production applications and we cover a wide range of business sectors utilizing different data types and handling a broad project diversity

.Our teams comprise of three different roles, data scientists, machine learning engineer and data engineers so that they include the full skillset to deliver projects to production

.We are currently looking for data scientists in all levels to join our teams. The role should combine strong knowledge of machine learning algorithms, analytical skills, experimental design etc. to support the model development process

.
As a Data Scientist you wi

• llTranslate business requirements to machine learning problem
• s;Perform EDA and feature engineerin
• g;Run comparative experiments for model trainin
• g;Implement best practices on model selection, parameter tuning et

c.
What you’ll br

ingMust ha

• ve:A background in Computer Science, Statistics, Math or related fie
• ld;Strong knowledge of machine learning algorithm and respective theo
• ry;2-8 years of hands-on experience in delivering machine learning models to producti
• on;Knowledge of the Python machine learning ecosyst
• em;Experience with Spark (PySpar
• k);Solid software background in O
• OP;Strong skills in teamwork, communication, and analytical thinki
• ng;Fluency in English, both oral and writt

en.Nice to ha

• ve:Experience with Azure / Databric
• ks;Knowledge of Deep learni
• ng;Experience in recommendation syste

ms.
Kaizen Gaming P

erks🏃 A buddy will support you with your onboard

ing.💸 Competitive salary package and bonus sc

heme📚 Unlimited access to Udemy & continuous trai

ning👩‍⚕️ Health and life insurance for you and your fa

mily💰 Monthly allowance for lunch & commuting expe

nses⭐Clear career paths and a developmental 360° feedback frame