As a Senior Data Scientist, you
will be in a team of Data Scientist and Data Engineers responsible for
the core of the machine learning algorithms about fraud risk, credit
risk, classification, optimization and others.
What you will bring - A degree such as mathematics, statistics, physics, or computer science.
- 4 years of experience with R or Python and SQL
- Knowledge about ML algorithms and techniques
- Strong problem solving abilities
- Generates valuable business insights
- Data flow engineering with both structured and unstructured data
- Ability to work independently - autonomously
Desired Skills and Experience:
- Fluent English.
- Experience with Big Data frameworks (Spark preferably)
- Experience on financial sector from a Data point of view
- Experience with NoSQL Databases (MongoDB preferably)
- Deep knowledge about algorithms (in terms of time&space complexity) and data structures (stack, queues, graphs, trees, etc.)
- Experience with ML libraries like H2O, Mlib, TensorFlow, Azure, Scikit-Learn, etc
- Experience with Cloud Computing Platforms (AWS preferably)
Benefits:
- Great working environment
- Career development opportunity
- Competitive salary
- Friendly and supportive team.
- Opportunity to constantly learn new technologies and grow as a professional according your own interests.
- Flexible Compensation Plan: Restaurant/ Transport/ Nursery tickets
- Extended annual holiday leave
- Flexible working hours
- Half day Fridays
- PC Equipment of your choice
- Private Health Insurance
- Referral Bonus
- Training Programs
- Fresh Organic Fruit
- Gym
