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Работа в България?
Space Tower, бул. Цариградско шосе 86, София

Experian България

София

Data Scientist

Описание на длъжността

Data Scientist

  • Boulevard Tsarigradsko shose 86, 1113 Geo Milev, Sofia, Bulgaria
  • Full-time
  • Department: Analytics
  • Role Type: Hybrid
  • Employee Status: Regular
  • Schedule: Full Time

Company Description

Experian is the world’s leading global information services company. During life’s big moments — from buying a home or a car to sending a child to college to growing a business by connecting with new customers — we empower consumers and our clients to manage their data with confidence.

We have 20,000 people operating across 44 countries. By investing in our people, technology and innovation, we can help transform businesses, help communities prosper, enable more people to feel included in the financial opportunities that should be available to them, and help people to thrive. We're looking for inspired employees that want to make an impact on people and business.

Изисквания за длъжността

Why us?

No one makes sense of data like Experian. We are on a mission to deliver the full power of data, analytics and technology in ways that transform lives. As a team, we’re committed to working together. So, we work in an inclusive environment that welcomes people with lots of different perspectives. We put people first and care about work that works. We like to strike a balance between how much time we spend on work and how much we keep for ourselves. After all, we’ve all got commitments and interests outside the office. So, talk to us about how you’d best like to work with us. We’re flexible and interested in helping you to get the best out of working with us.

We, at Experian, are currently looking for a Data Scientist to join the EMEA Analytics Product Development Team. The team is focused on rolling out and further enhancing Trusso, our cutting-edge ML based transaction categorization engine. If working on a truly global product that is likely to also impact you directly is something you have always wanted to do, drop us your CV and let us do the rest.

Job Description

Here is what you would be doing if you join the team

  • Oversee and facilitate the training of a range of Machine Learning models,
  • Evaluate the quality of the trained models, using existing and also new measures
  • Research and develop new scalable solutions that leverage ML to meet business needs across the globe
  • Incident resolution: Low accuracy troubleshooting, mis-categorisation issue analysis
  • Maintenance and improvement of the existing model development pipeline
  • Produce ad-hoc analysis/investigations on the modelling pipeline
  • Document parts of the modelling/testing process

Qualifications

What we would like to see in you:

  • A degree (BSc level) at a numerical discipline, such as Computer Science, Maths, Statistics, Physics, etc.
  • Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus.
  • Understanding of how and when to apply key analytical approaches including regression analysis and machine learning
  • Strong grasp of techniques for model cross-validation and penalizing unnecessary complexity, including regularization, in-sample vs out-of-sample. 
  • Ability to write near-production-level code in at least one general purpose programming language (e.g. Python, C++). 
  • Flexible and adaptable to learn and understand new technologies
  • Demonstrable analytical and problem-solving abilities, coupled with an enquiring mind and the ability to learn quickly
  • A keen eye for detail, good at spotting problems and quickly proposing solutions.
  • Strong verbal and written communication skills (fluency in English)

 

Any of the following abilities and skills will be considered an advantage:

  • Experience with natural language processing techniques and tools for the parsing of unstructured data. 
  • Experience with deep learning and other advanced modeling approaches to extract and automate insights from data.
  • Fluency with statistical significance tests and Monte Carlo simulation.
  • Experience with automation packages, such as Luigi and make
  • Exposure to Linux.

Additional Information

 We offer:

  • Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials & book
  • Work environment - excellent work conditions with friendly environment, recognized strong team spirit, and fun and quality recreation time
  • Social benefit package - life insurance, food vouchers, additional health insurance, corporate discounts, Multisport card, and a Share options scheme
  • Work-life balance - 25 days paid vacation and 3 additional paid days for participation in Social responsibility event
  • Opportunity for Flexible working hours and Home Office

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