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Какво е това?
Това е изчисление на Yox за приблизителната работна заплата за тази позиция. Посочената стойност не е потвърдена от работодателя и може да се различава с реалната стойност на предлаганото възнаграждение.
Как се смята?
Изчислена Заплата е приблизителната стойност на възнаграждение за конкретната позиция на базата на данни от стотици хиляди обявени заплати по професия за последните 2 години. В Yox се предоставя и информация за заплатите от служители, която също е част от изчислението.
Защо тази информация е полезна?
Можеш да разбереш приблизителната заплата за тази позиция. Можеш и да филтрираш списъкът с обявите за работа по размер на работната заплата.
Пълно описание
Senior Data Modeller
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, provide digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.
We are currently looking for Senior Data Modeller to join our growing Sofia based Analytics Team, established in 2007, as we are expanding our portfolio to support our North America Business.
As a Senior Data Modeller, you will develop and validate robust analytical solutions for diverse clients – this includes ad hoc data analysis as well as development of statistical models for predicting and managing the behavior of consumers. You will present results and business analysis to senior stakeholders (both internal and external) and support more junior team members in their daily activities. You will report to Data Modeller-Manager.
What you will do:
Data extraction and data processing
Develop, manage credit risk models, including application, behavioral, and collection scoring models
Evaluate the performance of the trained models and presentation of the results to stakeholders
Produce ad-hoc analysis on the available datasets or developed models
Work on proof-of-concept projects to support client needs
Oversee the day to day work of more junior team members
Identify opportunities for automation and follow them through internally within the team and towards external stakeholders
What you are expected to bring:
A degree (BSc level) in a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics
3+ years of working knowledge in Python – preferably both Python's own syntax but also some of its main analytical packages (such as Pandas, Numpy, scikit-learn)
Understanding of how and when to apply analytical approaches including regression analysis and machine learning
Grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus
Good at spotting problems and quickly proposing solutions
Experience with BI Tools such as Tableau and Power BI will be considered as an advantage
Fluency in English
What you will get:
Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
Social benefits package including life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance including internet bill coverage, sick leave allowance, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many more!
Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in social responsibility events.
Opportunity for flexible working hours and home office.
Personal Development - career pathways for professional growth supported by learning and development programmes and unlimited access to online educational training courses, learning materials and books.
Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Hybrid
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, provide digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.
We are currently looking for Senior Data Modeller to join our growing Sofia based Analytics Team, established in 2007, as we are expanding our portfolio to support our North America Business.
As a Senior Data Modeller, you will develop and validate robust analytical solutions for diverse clients – this includes ad hoc data analysis as well as development of statistical models for predicting and managing the behavior of consumers. You will present results and business analysis to senior stakeholders (both internal and external) and support more junior team members in their daily activities. You will report to Data Modeller-Manager.
What you will do:
Data extraction and data processing
Develop, manage credit risk models, including application, behavioral, and collection scoring models
Evaluate the performance of the trained models and presentation of the results to stakeholders
Produce ad-hoc analysis on the available datasets or developed models
Work on proof-of-concept projects to support client needs
Oversee the day to day work of more junior team members
Identify opportunities for automation and follow them through internally within the team and towards external stakeholders
What you are expected to bring:
A degree (BSc level) in a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics
3+ years of working knowledge in Python – preferably both Python's own syntax but also some of its main analytical packages (such as Pandas, Numpy, scikit-learn)
Understanding of how and when to apply analytical approaches including regression analysis and machine learning
Grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus
Good at spotting problems and quickly proposing solutions
Experience with BI Tools such as Tableau and Power BI will be considered as an advantage
Fluency in English
What you will get:
Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
Social benefits package including life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance including internet bill coverage, sick leave allowance, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many more!
Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in social responsibility events.
Opportunity for flexible working hours and home office.
Personal Development - career pathways for professional growth supported by learning and development programmes and unlimited access to online educational training courses, learning materials and books.
Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Hybrid
Средна заплата за сектора
4,790 лв / месец (изчислена от Yox)
Средна работна заплата за града изчислена от YOX
минимална
500 лв / месец
максимална
13,500 лв / месец
Мнения и оценки от служители
3.4
Добра 
3.2
3.3
3.1
3.3
3.6
3.1
3.6
3.9
4.1
4.5
2.3
Финален преглед
Увери се, че информацията е точна и ако всичко е наред натисни „Изпрати“ и твоята кандидатура отива незабавно за преглед в .
Вие се съгласявате с общите условия на Yox. При натискане на кандидатствай: 1) вие се съгласявате с общите условия на Yox, Политиката за Поверителност и Политиката на използване на бисквитките. Съгласявате се и разрешавате вашето резюме да може да бъде изпратено към работодателя (не е гарантирано получаване) и да продължи да се обработва и анализира съгласно нашите условия и политики. Натискайки „Изпрати“се съгласяваш с на Yox.bg
Честито, вашето резюме беше изпратено успешно!
При интерес от работодателя очаквайте връзка на посочените от вас контакти.