Data Scientist 

(f/m/d)

Your contribute to a #zerodowntimefuture

As a Data Scientist, you will leverage your statistical analysis and machine learning expertise to develop predictive maintenance models. You will collect and preprocess relevant data, build, train, and productize machine learning models, and collaborate with cross-functional teams to translate them into product features and actionable recommendations. Your ability to understand complex data patterns, extract meaningful insights, and communicate findings effectively will be vital for the success of our predictive maintenance initiatives.
You will be part of our AI team, which creates robust and innovative solutions that increase the value, efficiency and reliability of our AI based predictive analytics.

As Data Scientist you will be

• Collaborating with domain experts and stakeholders to understand business requirements and deliver effective solutions.
• Analyzing and interpreting complex data patterns to derive actionable insights.
• Collecting and preprocessing relevant data from various sources for predictive maintenance analysis.
• Designing, implementing, training, evaluating, and optimizing machine learning models for predictive maintenance.
• Communicating findings to technical and non-technical stakeholders through clear, compelling presentations and reports.
• Supporting the productization of machine learning models by working closely with engineering teams.

This is what we believe is needed for this role

• Strong background in data analysis, statistical modeling, and machine learning.
• Proficiency in Python and other relevant programming languages.
• Ability to conduct exploratory data analysis (EDA) to uncover patterns, anomalies, and valuable insights.
• Knowledge of data preprocessing techniques, feature engineering, and feature selection methods.
• Experience in machine learning model development, evaluation, and optimization.
• Familiarity with good software development practices, including version control, code organization, and testing;
• Ability to work under pressure;
• Fluency in English.

Bonus Points 

• Exposure to supporting the productization and operationalization of machine learning models.
• Excellent communication and presentation skills, with strong storytelling ability.

We expect you to

According to our internal progression framework, these are some of our expectations for this role:

• Understands how their scope of responsibilities relate to others in the team.
• Uses company and team resources efficiently.
• Broadly autonomous but relies on more senior people for complex decisions.
• Performs complex or larger projects/tasks independently.
• Has knowledge in the defined tools, methodologies and frameworks relevant to the role.
• Contributes to large projects, and owns their own scope of work towards global improvements/achievement.
• Has the capacity for presenting own ideas with pro-active contributions.
• Has the ability to adapt to new implemented tools/technologies.
• Suggests and implements new processes that can drive the role and/or department success.
• Produces clear, reliable documentation.
• Can anticipate some problems and assess risk in some complex situations.
• Shows initiative through asking questions proactively and learning.
• Supports the integration and onboarding of new team members in their team.

What we offer

• Annual Gross Salary Band for the role: 25-35k€
• Health Insurance to you and your children;
• Fringe Benefits Policy (for Portugal located workers);
• Flexible Work Hours - adjust your schedule to your needs;
• 22 vacation days, plus up to 3 extra time off days according to your tenure;
• Work Setup - remote, hybrid, onsite - if your job can be done remotely, and you prefer to, you’re free to choose;
• Hardware and software for a full remote setup;
• Quarterly Events to discuss Strategy;
• Autonomy and Ownership Culture;
• Continuous feedback culture;
• Innovation Mindset;
• Career Acceleration.

Location

• This role can be performed Remotely in Portugal, or hybrid/office in Coimbra, Portugal. #LI-Remote 

What you can expect from the recruitment

• Screening call with HR

• 1st Interview (1h)
  HR and Hiring Manager
  We want to get to know you better and navigate through your experience, skills and motivation.
  

• Take home code test
  AI Team
  We will send you a code test for you to work offline. Our AI team will review it, and it will trigger the technical interview if a good assessment is made.
  
• Technical Interview (1h)
  AI Team
  Deep dive into the code test outputs. Deep dive into your skills and assessment of your technical knowledge.
  

• Cultural Fit Interview (1h)
  HR Manager and Hiring Manager
  Validate the cultural fit between you and Stratio and make sure you’re the person we’re looking for to help us build a #zerodowntimefuture.
  

• Hiring Proposal

References may be required at any stage of the recruitment process. 

About Stratio

Stratio is the World’s Leading Real-time Predictive Fleet Maintenance Platform. The company's proprietary technology combines large-scale processing with the latest machine learning techniques to prevent hundreds of thousands of breakdowns from happening every day, thus saving millions of people from the hassle of public transportation delays, postponed deliveries, or late arrival of essential goods.

Stratio’s platform enables zero downtime for 5 of the 10 largest transportation companies in the world and, in 2021, raised an investment of $12 million to boost leadership in predictive fleet maintenance. Fleet operators in Europe, North America, Asia-pacific, and Latin America trust Stratio’s technology to fully leverage the data under the hood to safeguard operations, and keep customers happy. Stratio’s technology has enabled transportation for 1.3 billion people so far.

We want inspiring individuals in our teams, where age, race, gender, sexual orientation, politics and religion do not matter, and seek to create a tolerant and open space for everyone. We thrive to provide an inclusive and trustworthy environment.

You can find our Culture Manifesto and more team information here.

Take the road with us!