Работа Salesforce Developer
67 нови обяви за работа
-
Senior Data Scientist Globally, 1.7 billion people lack a bank account while two thirds out of this population have a mobile phone. The Experian MicroAnalytics started from this observation to become a gateway between the Telco and the banking world...
-
System analyst, CBS At DSK Bank, we constantly strive to provide the best experience to our customers by offering them innovative digital solutions and excellent service in our offices. All this would not be possible without a strong team, so our m...
-
DSK Bank is one of the leading banks in Bulgaria, with a great IT team of more than 250 IT talents, experiencing professional growth and development every day. In 2020 DSK Bank finalized the biggest merger in Bulgaria by integration with Expressbank ...
-
It is an exciting role for a candidate who likes to be challenged and is keen to communicate to the internal customers on the needed actions that they should apply in order for their queries to be completed on timely manner. The chosen candidate will...
-
-
Software Integration Support Specialist myPOS was founded on the belief that all businesses and entrepreneurs should be able to leverage the power of card payments and modern technology to grow and thrive. The company is dedicated to providing innov...
-
Data Ops Engineer When we started myPOS we believed that all businesses and entrepreneurs should be able to leverage the power of card payments and modern technology to grow and thrive. Now we are proud to say that 10 years later we brought that bel...
-
Junior Data Analyst About AML RightSource We are AML RightSource, the leading technology-enabled managed services firm focused on fighting financial crime for our clients and the world. Headquartered in Cleveland, Ohio, and operating across the glo...
-
Булминт Рекрутмънт е компания, специализирана в сферата на човешките ресурси и услугите по подбор и администриране на персонал. Компан...
-
DATA ENGINEER WITH PYTHON (m/f/d) Make an amazing climb in your career in an international team of experts. Our company provides technological services for the whole companies of Schwarz Group, which includes Lidl, Kaufland, Schwarz Produktion and P...
-
System Integration Engineer Balkantel Ltd. is an engineering company specializing in R&D, manufacturing and integration of technology in critical infrastructure. With over 30 years of engineering experience and in partnership with worldwide tec...
-
Business Intelligence Analyst in Risk Management Division DSK Bank is part of OTP Group – one of the leading banking groups in Central and Eastern Europe. As a leading financial institution in the Bulgarian banking sector DSK Bank offers great op...
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
Globally, 1.7 billion people lack a bank account while two thirds out of this population have a mobile phone. The Experian MicroAnalytics started from this observation to become a gateway between the Telco and the banking world. We bring high risk management standards to the mobile world through our solutions with the permanent objective to fast-track deployments. The MicroAnalytics products and services individually assess the risk and opportunity of offering specific products and services to telco subscribers and mobile wallet users, thereby helping telcos increase ARPU, reduce churn, grow purchase volume and ultimately increase consumer satisfaction.
The MicroAnalytics business today provides products and services to clients in Europe, Asia, the Middle East, Africa and South America. By combining multiple Telco data attributes, we build a Telco score that empowers Financial Institutes to make more informed decisions on credit applications for bureau invisible or thin file clients.
We are currently looking for a Senior Data Scientist to join our team and support the Experian MicroAnalytics by leading an advanced research and development; enhance relationship with client and develop and provide new innovative solutions. The role holder will be responsible for guiding the team in inventing and modifying advanced innovative algorithms and applying them to large data sets to solve complex business problems. The role holder must be able to balance and prioritise multiple projects; anticipate obstacles, and deliver high quality outputs.
What you'll be doing:
Be responsible for the design and delivery of new business solutions to clients; Understand and anticipate client needs; Design a business solution and ensure the team can deliver successfully
Ensure full understanding of client requirements and be responsible for developing new solutions and enriching their product base.
Oversee and facilitate the training of a range of Machine Learning models; evaluate the quality of the trained models, using existing and new measures
Lead the process of building a model (churn, propensity or loss) using Decision Analytics data to be used for business strategy that will impact outcomes
Design data structure and data storage schemas to efficient data manipulation and information retrieval
Develop data driven models to quantify the value of a given data set; Validate score performance
Continuously work on identifying opportunities for automation supporting his/her ideas with cost/benefit analyses justifying the need both internally within the team and towards external stakeholders
Develop appropriate business cases to increase MicroAnalytics global reach and client base
Maintenance and improvement of the existing model development pipeline
What you are expected to bring:
A degree (BSc level) at a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics, etc.
5-7 years of experience in DS (design AI/ deep learning solutions)
Previous experience/participation in client facing projects
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:
Good knowledge of OOP principles, data structures, algorithms & design patterns
Experience with deep learning and other advanced modeling approaches to extract and automate insights from data.
Experience with Reinforcement learning algorithms for decision/strategy optimizations.
Exposure to Linux.
Средна заплата за сектора
4,610 лв / месец (изчислена от Yox)
Средна работна заплата за града изчислена от YOX
500 лв / месец
13,500 лв / месец
Мнения и оценки от служители
Изследовател на данни/изследователка на данни
Изследователите на данни намират и тълкуват богати източници на данни, управляват големи количества данни, обединяват източници на данни, осигуряват съгласуваност на наборите от данни и създават визуализации за подпомагане на разбирането на данните. Те изграждат математически модели като използват данни, представят и съобщават констатациите и откритията за данни на специалисти и учени от техния екип и, ако е необходимо, на неспециализирана аудитория, и препоръчват начини за прилагане на данните.
Необходими основни умения
- съставяне на научни или академични документи и техническа документация
- нормализиране на данни
- управляване на изследователски данни
- използване на техники за обработване на данни
- тълкуване на текущи данни
- взаимодейства професионално в научноизследователска и професионална среда
Необходими основни знания
- проучване на данни
- техники за визуално представяне
- извличане на информация
- статистика
- категоризиране на информация
- език за описание на търсене на мрежови ресурси
Финален преглед
Увери се, че информацията е точна и ако всичко е наред натисни „Изпрати“ и твоята кандидатура отива незабавно за преглед в .
При интерес от работодателя очаквайте връзка на посочените от вас контакти.