Data Science Lead

A munkakörről

Hely
Portugal
Porto
Távmunka vagy Irodai munkavégzés
Hibrid munkavégzés
Vállalat
Siemens Energy Unipessoal Lda.
Szervezet
Labor Director
Szervezeti egység
Human Resources
Teljes/részmunkaidős
teljes idő
Munkatapasztalat
Szenior szakember

A Snapshot of Your Day: the role is structured around applying data science to tangible business use cases, leveraging advanced analytics and AI/ML to directly improve the employee experience and create leaner, more efficient HR processes, translating complex data into practical solutions that optimize global mobility and talent management related to this area. 

How You’ll Make an Impact:

  • Design and deploy predictive models to improve the employee experience and forecast key HR metrics (e.g., mobility patterns, assignment success).
  • Apply advanced machine learning and statistical analysis to uncover insights that support the creation of lean, easy GM processes.
  • Identify and leverage automation potential within GM and related workflows by applying AI/ML techniques to create efficiencies and enhance user experience.
  • Conduct research on emerging data science principles to solve complex business problems within the Global Mobility domain.
  • Lead the design and implementation of data mining architectures and protocols for analytics projects that drive business value.
  • Manage large-scale data science projects from conception to deployment, ensuring alignment with strategic business objectives.
  • Coach, review, and delegate work to data professionals, fostering a culture of data-driven decision-making and process improvement.
  • Collaborate with senior business leaders to translate business challenges, particularly around employee experience and process efficiency, into data science problem statements.
  • Create and present compelling statistical reports and data products that clearly communicate findings and their impact on business outcomes.
  • Serve as the subject matter expert, advising stakeholders on how data science and AI can be practically applied to achieve their goals.

What You Bring:

  • Sound experience in managing data projects in large-scale, complex business environments.
  • Demonstrated ability to conceptualize, implement and maintain business-needed data products using analytics, AI and automation.
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • Business acumen to identify opportunities for process improvement and the leadership skills to guide a team in delivering impactful result
  • Experience in machine learning and statistical modeling
  • Knowledge and expertise in: 
    Data Science & Machine Learning, programming language such as Python (Programming Language), SQL (Programming Language), R (Programming Language), Data Infrastructure (e.g., AWS), Data Visualizations (e.g., Python, PowerBI or similar), Project & Process Management using Agile Methodology 
About the Team
In our Business Functions we enable our organization to reach their targets by providing best-in class services and solutions in the areas of IT, HR, Finance, Real Estate, Strategy & Technology and more. 
Who is Siemens Energy? 

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.      

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Our Commitment to Diversity 
Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. 
Rewards/Benefits 
  • In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
  • We also offer the opportunity to become a Siemens Energy shareholder
  • We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
  • The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose
  • In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical  
We value equal opportunities and welcome applications from people with disabilities.

https://jobs.siemens-energy.com/jobs 
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