DATA SCIENTIST (Remote)

Department: Renewable Energy
Contract: Permanent
Working day: Full time
Sector: Energy
Vacancies: 1
Discipline: Engineering
Work modality: Remote

ISATI

We are a group of companies oriented to offer engineering services nationally and internationally, mainly in the aeronautical and wind energy sectors. Our company began in 2005, and today we have a multidisciplinary and multicultural team of experts in different fields of engineering. We have our own network of clients, where you can grow and develop professionally in projects that will leave a mark.

In Spain, our main office is located in Vitoria, where our Materials Laboratory is also located. We have two more offices in Pamplona and Madrid, and we are also present in Switzerland, France, and the United Kingdom.

We believe in human talent and in a transversal work system, where innovation and technological challenges are the driving force to achieve our goals.

Why ISATI?

If your passion is renewable energies or aeronautics, if you feel you need a new adventure, if you are a person eager to learn and improve and you are not afraid of new challenges, go one step further and dare to get to know our world!

During the selection process, we will prioritize your needs to find the project that best fits your profile.

And you will ask yourself, what is so special about this?

We are a team with national and international coverage and, therefore, we believe it is important to collaborate and take care of each other, accompanying you from the first moment and throughout your career at ISATI. No matter where you are, you will always be surrounded by people who care about your well-being.

Learn more about ISATI ENGINEERING

Learn more about ISATI MATERIALS

Job description

We are searching for a DATA SCIENTIST to join an interesting project, working directly for one of our customers.

Mission

Data Engineer supporting cloud-based predictive analytics platforms for the wind industry sector. You will be working directly on SW and data features of a DigitalClone software to achieve business goals.

Roles and responsibilities:

Work with stakeholders to translate business objectives into data and analytics solutions, and translate results into business insights using appropriate data engineering and data science applications
Mine and analyze data to assess opportunities and develop solutions
Assess the effectiveness and accuracy of data sources
Develop data models and algorithms to apply to data sets
Use predictive modeling to assess asset health and optimize asset performances
Develop reusable frameworks, models, and components to enable rapid prototyping
Develop processes and tools to monitor and analyze model performance and data accuracy
Drive best practices in data science and machine learning

Requirements

Minimum qualifications

Advanced degree in computer science, engineering, physics, statistics, applied mathematics, etc.
Strong problem-solving skills
5+ years of analytics development or machine learning engineering experience
Strong understanding of data science and machine learning concepts, algorithms, and techniques;
Demonstrated experience in creating and using these algorithms to solve business problems and develop solutions
Expert knowledge of Python programming and leading machine learning frameworks (Scikit-learn, TensorFlow, Keras, PyTorch etc.)
Experience in at least one cloud platform (AWS preferred) and associated machine learning services, e.g., Amazon SageMaker
Familiar with Agile software development practices
Strong interpersonal and communication skills, including the ability to explain and discuss machine learning concepts with colleagues and customers
Ability to collaborate with people at all levels and with multiple-office/region teams
Ability to work without supervision and juggle priorities to thrive in a fast-paced environment
English C1

Preferred Qualifications

The ideal candidate will have one or more of the following:

Extensive knowledge of wind plant data, wind turbine design, or operations of a wind plant.
Experience building/running systems with AWS cloud infrastructure.
Experience using distributed computing engines, e.g. Dask, Ray, Spark
Experience using big data technologies and distributed computing engines, e.g. HDFS, Spark, Kafka, Cassandra, Solr, Dask

If your profile meets our needs We'll be pleased to contact you. Otherwise, you can visit our web to see different job opportunities. ISATI JOB OPPORTUNITIES

Job closed

Department: Renewable Energy
Contract: Permanent
Working day: Full time
Sector: Energy
Vacancies: 1
Discipline: Engineering
Work modality: Remote

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