Senior Data Scientist (Machine Learning)

act digital; Lisboa; Presencial; EUR 50 000 - 70 000; Tempo integral

Resumo da oferta

act digital is seeking a knowledgeable Senior Data Scientist to join our Lisbon team, focusing on developing deep/machine learning models. This role involves collaborating with engineering, maintaining production-level code, and implementing data engineering for automated solutions.

The ideal candidate holds a relevant degree and possesses at least 5 years of experience in Data Science or ML Engineering. The position requires expertise in Python, deep learning, and strong analytical skills.

Qualificações

• Minimum of 5 years of experience in ML Engineering or Data Science.
• Proven experience with the end-to-end Data Science cycle.
• Business proficiency in English (B2 Level Minimum Required).

Responsabilidades

• Develop and oversee deep/machine learning models.
• Collaborate with the Data Engineering team for deployment.
• Create data visualizations and communicate findings.

Conhecimentos

Deep Learning and NLP models

Machine Learning techniques

Python programming

Data exploratory skills

Agile Frameworks

Formação académica

Bachelor’s, Master’s or PhD Degree in Computer Science, Data Science, ML Engineering, or Statistics

Ferramentas

Spark

SQL

ML libraries

Descrição da oferta de emprego

Senior Data Scientist (Machine Learning)

We're searching for a knowledgeable and collaborative Senior Data Scientist to join our global teams. Based in Lisbon, Portugal this is truly an incredible opportunity to be part of our exciting vision for the future!

The Role’s Mission

In this pivotal role, the ideal candidate will develop and oversee the development of deep/machine learning models, collaborating with the engineering team to deploy ML algorithms, maintaining production-level code, implementing data engineering for automated solutions, and exploring new ML methods for efficient data analysis.

If you are passionate about pioneering advances in data science, leading strategic initiatives, and contributing to the global impact of our services, apply for a career that’ll be out of the ordinary and join us!

Key Outcomes

• Supervise and inspire data scientists in the team, fostering team building and implementing best practices throughout projects.
• Develop and oversee sophisticated deep/machine learning models and statistical algorithms, deploying novel solutions and efficiently retrieving data for robust model building.
• Work collaboratively with the Data Engineering team, seamlessly deploying and integrating Machine Learning (ML) algorithms to enhance overall functionality.
• Exhibit coding prowess by developing, commenting, maintaining, and sharing legible and production-level programming code, ensuring transparency and reliability.
• Explore new ML methods for the streamlined analysis of large datasets.
• Create compelling data visualizations, meticulously documenting and communicating findings to internal stakeholders in a structured and impactful manner.
• Drive the delivery of effective solutions by consulting with internal stakeholders, solving critical business questions, and providing business recommendations from a Data Science perspective.
• Take full responsibility for key projects, consistently raising the performance bar and ensuring the highest standards of excellence.
• Identify and harness opportunities for applying data science to improve, optimize, and expand existing solutions.

Key Capabilities

Your background will ideally look like this…

• Academic background (Bachelor’s, Master’s or PhD Degree) in Computer Science, Data Science, Machine Learning Engineering, Statistics or equivalent fields.
• Business proficiency in English (B2 Level Minimum Required).
• Minimum of 5 years of demonstrable experience in ML Engineering or Data Science roles.
• Experience with the end-to-end Data Science cycle: from data collection to model deployment and monitoring.
• Proven experience with Deep Learning and NLP models.
• Strong data exploratory skills – understand how to break down the data, extract insights, and determine utility within a broad range of business questions.
• Strong knowledge of commonly used ML/Optimization techniques (Classification, Regression, Clustering, Outlier identification) and statistical methodologies (Distributions, Hypothesis testing, Bayesian framework).
• Consolidated professional programing experience programming in Python, as well as with Spark and SQL, coupled with adeptness in utilizing prevalent Data Science and Machine Learning libraries.
• Experience working within Agile Frameworks (SCRUM/KABAN).

With the following qualities…

• Inquisitive, with critical thinking, and demonstrate a genuine passion for consumer behaviour.
• Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions.
• Is proactive, optimistic, and willing to get involved to achieve the team's goals and objectives.
• Is highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments.
• Possesses outstanding communication and interpersonal skills in order to comfortably connect with partners at all levels across the organization and facilitates discussions in a constructive manner.

The following, although not mandatory, will be appreciated…

• Experience with Cloud Computing and storage, ETL, and experience with Big Data handling in Azure Databricks.