Lead Data Scientist and Product Owner for Mercury

hace 2 semanas

Madrid, España BBVA A tiempo completo

**Area**:
**DATA**

**Deadline for applying**:
**9/13/2023**

**Company**:
**001**

**What are we looking for?**

Technical Skills
- In the area of time series forecasting, you must be proficient in using Transformer-based methods, or their time series variants, for univariate and multivariate forecasting, and Quantile Regression.
- You should also have deep knowledge and practical experience in pricing models, leveraging both traditional econometric methods and advanced machine learning techniques to establish optimal pricing strategies.
- Experience in propensity modeling and scoring is also required, with background on Risks management.
- For hyper-personalization tasks, it is a plus if you have up-to-date experience in developing and using embedding techniques, including but not limited to word2vec, GloVe, and BERT, for capturing complex patterns and dependencies in high-dimensional data.
- Familiarity with financial industry-specific regulations and standards concerning model development and deployment will be a plus.
- With regard to the methods and tools, we mostly work with Python and Spark where you are expected to have a good track record on computer science fundamentals and programming, software engineering and system design, columnar databases, machine learning frameworks and libraries, stream processing and distributed computing.

Specific knowledge:

- Extensive experience in data science, including a deep understanding of statistical modeling, machine learning algorithms, and data analysis techniques.
- Proficiency in Python, R and C++ programming languages.
- Strong knowledge of software development principles and practices, as well as experience with version control systems such as Git.
- Familiarity with open-source software development and contribution processes. Definition and execution of governance and policies.
- Excellent problem-solving and critical-thinking skills, with the ability to analyze complex datasets and develop innovative solutions.
- Strong communication skills, with the ability to effectively collaborate with cross-functional, multi-cultural teams and present findings to both technical and non-technical audiences.
- Experience leading and managing a team of developers, with the ability to prioritize tasks and delegate responsibilities effectively.
- Strong passion for continuous learning and staying up-to-date with the latest trends and advancements in data science and machine learning.

**Qualifications**:

- Bachelor's or Master's degree in a relevant field, such as Computer Science, Mathematics, or Statistics.

**Overview**

Overview

We’re a group of people with a passion for cutting edge technology, mutual learning and innovative problem solving. We strive to bring the opportunities that Artificial Intelligence offers to the financial industry.

At AI Factory, we are looking for a Senior Manager/Senior Expert Data Scientist who wants to help us to generate an impact through data science and bring new opportunities. We would like to embrace your mathematical, analytical, statistical and data-storytelling abilities. If you've been both in academia and business and have a knack for problem solving we want to hear from you.

About the job

**Responsibilities**:

- Oversee the entire development Mercury, including planning, designing, and implementing new features and functionalities.
- Manage a multi-country team of developers and collaborate with other stakeholders to ensure a smooth and efficient development process.
- Provide technical expertise and guidance to the team in order to optimize the library's performance and usability.
- Lead and contribute to the creation of documentation and examples to support the library's usage. Proactively promote internal and external communication pieces to help in disseminating the library.
- Stay up-to-date with the latest advancements in data science and machine learning, and incorporate them into the library's functionalities.
- Collaborate with the community of users and developers to gather feedback and identify areas for improvement.
- Participate in code reviews and provide constructive feedback to maintain code quality and best practices.
- Act as a mentor to junior team members, providing guidance and support in their professional development.
- Stay informed about industry trends and market demands to ensure the library remains competitive and relevant.

**Working at BBVA**

BBVA is a global company with over 160 years of history present in 25 countries with over 81 million customers. We are more than 110,000 professionals working in multidisciplinary and diverse teams.

At BBVA, we are ahead of the transformation that is taking place in the banking sector, challenging the status quo, to make life easier to our customers.

Being part of BBVA means developing your career in one of the most innovative companies in finance.

Responsible banking

We're committed to responsible banking to help drive a more inclusive and s

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