R&D Data Scientist

R&D Data Scientist

Vattenfall

Stockholm, Sweden

About the job

As an R&D Data Scientist, you will work within the Data Science & AI section, tackling business research questions and managing hands-on end-to-end data science projects. This role involves data-driven analysis and model development utilizing state-of-the-art machine learning techniques, as well as advanced statistical methods in order to provide insights and solutions to complex business problems. You will collaborate with business domain experts and other experienced data scientists across the organization, advancing your expertise and bring new value and opportunities to Vattenfall.

In broad terms this position is responsible for developing predictive models, time-series forecasting, contextual analysis and insights generation.

Your primary responsibilities are to:

• Frame complex business questions and break them down into manageable data analysis and/or model development tasks.
• Time-series analysis and forecasting.
• Develop novel algorithms as well as to apply research methods.
• Build and evaluate machine learning models.
• Develop prototypes and engage in and support their transition from pre-development all the way to development for production (in collaboration with other operational teams).
• Collaborate with business domain experts and cross-functional teams to provide data-driven insights for strategic-decision making.
• Interpret and present results to stakeholders.

Your profile

We want to expand in-house data science and AI group with an experienced Data Scientist, Machine Learning specialist. The ideal candidate has good knowledge of time-series and advanced statistics.

Education:

• Master of science degree in a quantitative field, e.g. applied engineering, data science, machine learning, advanced statistics, mathematics, or related areas.

Work experience:

• To succeed in this role a few years of relevant work experience are required.

Key skills - proficiency in:

• Time-series analysis and forecasting methods, anchored to both traditional statistical modelling as well as ML-based methods.
• Advanced Statistics
• Machine-learning
• Python programming

Meritorious:

• Knowledge and/or experience in the energy sector.
• Proficiency with cloud platforms for data science (preferably Azure).
• DevOps
• Databricks
• Data Engineering
• Git

Language:

• Fluent in English; proficiency in Swedish is considered a plus

Personal profile:

As a person you are analytical, inquisitive, committed and self-driven with proven communication and interpersonal skills. You are passionate about understanding and solving complex problems and appreciate working towards deliveries. You are a team player and ready to innovate regarding new ways of working in order to improve efficiency.

Apply Now