4 дня назад
Senior Analytics & Data Science Consultant
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analytics & Data Science Consultant (AI): Designing advanced analytics solutions, algorithms, and product prototypes for large datasets and client business problems with an accent on machine learning, data mining, model validation, and applied research. Focus on developing customized analytical solutions, improving model performance and data quality, and guiding complex projects through independent decision-making and client collaboration.
Location: Madrid, Spain; hybrid remote/in-office
Company
is a global data and technology company delivering analytics, software, and data solutions across financial services, healthcare, automotive, insurance, marketing, and other industries.
What you will do
- Evaluate and acquire new data assets, analyze large datasets, and establish best practices for generating insights.
- Design advanced algorithms and analytical solutions for internal and external client business problems.
- Develop product prototypes and apply machine learning, data mining, and text mining techniques.
- Validate model and scoring performance, document modeling processes, and present outcomes.
- Lead programs that improve analytical solutions, data quality, model performance, and project timelines.
- Support sales and consultancy activities, guide project teams, mentor colleagues, and share expertise through publications and presentations.
Requirements
- Proficiency in Python and strong programming, statistics, computer science, and machine learning knowledge.
- Expertise in advanced algorithms for practical business problems and understanding of data structures in marketing, risk, and customer management.
- Familiarity with regression models, XGBoost, neural networks, support vector machines, and ensemble methods.
- At least 3 years of experience defining scope and delivering customized analytics projects.
Culture & Benefits
- Flexible working hours and home office options within the hybrid work model.
- Career development pathways, learning and development programs, and access to online courses, learning materials, and books.
- Social benefits including food vouchers, health insurance, a monthly flexible allowance, internet coverage, and a Sharesave plan.
- Employee assistance program and a collaborative work environment with team activities and recreation time.
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