Senior Data Scientist
Forter is looking for a Senior Data Scientist with strong analytic capabilities, passion for solving complex problems and building data-based, scalable solutions, to join us in the challenge of combating online fraud. This individual would join the best people in the industry in developing cutting edge methods g to catch sophisticated fraudsters in real-time at a large scale, for the biggest enterprises in the world.
Standing in the front line of fraud-fighting forces us to deal with challenges that are not like any other in the industry. Handling these challenges requires a combination of analytical insights along with various statistical methods and machine learning techniques (both supervised and unsupervised). This is why we look for extremely strong and creative individuals. We expect our data scientists to be highly capable, independent, versatile, constantly learning and enthusiastic to take on new problems.
Stuff you’ll be doing:
- Joining a diverse team of data scientists in designing, building and maintaining statistical modeling solutions
- Self-managing projects planning, milestones, designs, and estimations to achieve high-level goals
- Learning and experimenting with new statistical / ML techniques
- Communicating research results, solutions and complex ideas to peers and management
- Working with colleagues from various disciplines - Research Engineers, Analysts, Quants and other data scientists (all of whom write production code!)
- Guiding our professionals to improve work with data
- Background in: Python, Unix, SQL
- At least M.Sc in one of the following: Physics, Mathematics, Computer Sciences, Electrical Engineering, Statistics (Ph.D. an advantage)
- Experience with statistical methods and machine learning techniques
- At least 3years of experience working with machine learning predictive models in a data scientist position (preferably at least 5 years)
- Professional proficiency in English
We appreciate if you had:
- Been involved in a machine learning project (personal hobby, Kaggle contest etc.)
- Worked on academic projects which could be relevant to our work
- Written a blog post or given talks about your work.
- Open source projects you’ve created or contributed to.
- Interesting problems you’ve dealt with, that weren’t trivial.
- Side projects that you couldn’t resist building.
- Has a background in analytic research