Работа Senior Data Scientist
127 нови обяви за работа
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Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance...
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Company Description 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, create marketing solution...
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Over 20 years of market experience, we brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!...
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Company Description 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, create marketing solution...
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Job Title: Data Scientist (Junior/Mid-Level) Location: Sofia, Bulgaria Department: Machine Learning Reports To: Head of Machine Learning Department Employment Type: Full-Time Working Model: Hybrid ________________________________________ About Us MFG...
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Job Title: Data Scientist (Junior/Mid-Level) Location: Sofia, Bulgaria Department: Machine Learning Reports To: Head of Machine Learning Department Employment Type: Full-Time Working Model: Hybrid ________________________________________ About Us MFG...
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Are you ready to kick-start your career in a global company? Ingram Micro Bulgaria’s Internship Program is here to offer you a 6-month paid hybrid internship that combines real-world experience, professional training, and mentorship to set you up f...
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Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance...
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For a client of ours we are searching for a Data Researcher & Processor intern (remote). About the company: Confluence Technologies is a global leader in delivering data-driven investment management solutions and automation software that help asset ...
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About the Company: We are a global BPO company established in 2012, with strategically located delivery centers across multiple regions. We pride ourselves on fostering long-term, trusted partnerships with industry-leading tech companies in the USA ...
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The Opportunity For our Feeder Factory High Voltage based in Sevlievo we are looking for a Master Data Administrator to play a crucial role in enabling the success of our Operations. Based in our dynamic team, you will ensure compliance of requiremen...
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About the role: We are on a mission to bring subprime lending to the Fintech 2.0 horizon! Our way forward is to provide sustainable, scalable and embedded financial solutions to a wider range of customers that are often excluded by the traditional b...
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At Destination Workplace, we believe everyone deserves to thrive in a workplace that inspires growth, purpose, and collaboration. That's why were partnering with a leading global organization in the chemical and manufacturing industry to find Master...
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HMG LINKS Ltd is a local multi-sector recruitment company focused on tailor-made solutions for its partners’ human resources needs. We strongly believe in an honest and ethical approach to recruitment. On behalf of our client, a fast-growing top-n...
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RecruityTalent is a Recruitment agency with focus of IT, supporting startups and enterprises in Bulgaria, EMEA and LATAM by connecting them with top talent. For one of our clients, we are looking for a Senior Data Engineer with Python + Databricks. ...
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
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job Description
We are seeking a highly analytical and experienced Senior Data Scientist to support the maintenance, monitoring, optimization, and continuous improvement of production analytics models and data processes. In this role, you will ensure analytical solutions remain accurate, stable, compliant, and aligned with business and client requirements.
You will work with large-scale datasets, monitor model performance, investigate data and model anomalies, implement model enhancements, and support data-driven decision-making across multiple client environments. You combine strong statistical and machine learning expertise with practical experience in model governance, data quality management, and production analytics.
This position requires close collaboration with cross-functional teams, product stakeholders, and clients to maintain high-performing analytical solutions, improve operational efficiency, and support ongoing innovation within the analytics organization. You will also mentor team members, contributing to best practices, and sharing technical expertise across the broader analytics community.
You will report to Director of Data Science and GenAI.
What you'll do:
- Monitor and optimize production model performance, stability, and drift.
- Conduct model validation, back-testing, and performance reporting.
- Investigate data and model issues and implement corrective actions.
- Maintain data pipelines, documentation, version control, and audit trails.
- Support regulatory, compliance, and governance requirements.
- Partner with internal teams and clients to improve analytical solutions and data quality.
- Contribute to innovation, best practices, and knowledge-sharing initiatives.
Qualifications
What you'll bring:
- Experience working in data science, machine learning, analytics, or related technical roles.
- Strong foundation in statistics, probability, linear algebra, optimization, and predictive modeling.
- Experience developing, validating, monitoring, and maintaining machine learning and analytical models in production environments.
- Knowledge of machine learning, AI, deep learning, regression techniques, and model evaluation methodologies.
- Experience with model validation, cross-validation, regularization techniques, statistical testing, and performance monitoring.
- Proficiency in Python and/or other programming languages used for analytics and data science.
- Experience working with large-scale data processing technologies and modern data platforms (e.g., Spark, Hadoop, distributed data environments).
- Familiarity with structured and unstructured data processing, including NLP techniques.
- Strong understanding of data quality, model governance, compliance, and documentation best practices.
Additional Information
What you'll get:
- Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
- Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
- Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
- Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
- Opportunity for Flexible working hours and Home Office.
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.
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Средна заплата за сектора
5,230 лв / месец (изчислена от Yox)
Средна работна заплата за града изчислена от YOX
500 лв / месец
700,000 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
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