Data Scientist
Scandinavian Airlines System Denmark -Norway-Swe / Elektronikjobb / Solna
2023-07-07
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➡️ Klicka här för den senare publicerade platsannonsen "Data Scientist" (publicerad 2023-12-21) ⬅️
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hela Sverige Our newly formed machine learning team has been actively helping our stakeholders to identify business challenges and opportunities that can be addressed with advanced data analytics techniques. We have been engaging in machine learning projects across various business units including improving customer service level with NLP, personalized product offers to improve customer experience, and using sensor data to conduct predictive maintenance analysis in the airline operation domain.
With recent successful implementations of machine learning models we have shown the value of data science. To secure our future success we are now strengthening our team with experienced Data Scientist(s).
Key Responsibilities
As an experienced data scientist, you are the hero of the team. You'll be engaging in diverse machine learning projects and communicating insights and recommendations to business stakeholders. You will contribute to machine learning practice and data-driven business to ensure a solid foundation for SAS to scale and realize the full potential of machine learning. As a key enabler in the team, you'll also be involved in tool & infrastructure decisions, collaborate with other teams to utilize synergy effects and ensure best practices in data lake, cloud infrastructure, and IT security.
We hope you are passionate about data and algorithms. In a fast-changing environment and digital transformation journey, it's important that you stay curious and enthusiastic about using algorithms to solve problems and inspire others to see the benefits.
Your daily responsibility will include:
Work closely with the various divisions (including Commercial, Airline Operations and Airline Services) within SAS to identify and translate high-level business needs into defined data science projects
Perform exploratory data analysis to validate initial hypothesis, apply data preprocessing techniques to conduct data cleansing, and feature engineering etc.
Design, implement and maintain machine learning models end-to-end in cloud environment
Communicate data-driven insights and recommendations to business stakeholders
Support in continuous improvement of methodologies and standards within our Data Science practice
Horizon scan to stay up to date with the latest technology, algorithms, and methods
To be successful, we believe you should have:
Master's Degree or higher in Computer Science, Statistics, Econometrics, Applied Mathematics or related field.
At least 2 years of industry experience within Data science domain
Experience of end-to-end model development and putting models into production
More than 3 years experience with Python and machine learning libraries
You need to be proficient in executing joins, transformations and aggregations using SQL
Proficient with statistical- and machine learning models (both supervised learning and unsupervised learning)
Well-versed in cloud computing, prior experience with Azure is a big plus
Deadline for applications is 31st of August 2023.
This is how we make your journey at SAS matter:
Purposeful: We are heading into a future where change is never-ending, and the need to rethink and rebuild is too. A future of conscious thoughts and sustainable innovation. A future we make possible. We fly because the world is moving, and it needs our help to stay in motion.
Adventurous: We grow by making the world smaller. Discounted airline tickets providing you, your family and friends possibility to travel the world at great prices.
Personal: Ingenuity and creativity are central to our work, We offer an opportunity to work on many challenges and initiatives
Innovative: The restless pulse of our world offers endless possibilities to develop new customer solutions and new avenues for personal and professional growth. Working at SAS means contributing to and benefiting from a fast-paced, dynamic environment and playing a leading role by transforming aviation.
Ownership: Opportunity of bringing initiatives from ideas into end-point delivery
Together we move Scandinavia: We foster a culture shaped by shared values, open minds, individual accountability and mutual support.
Så ansöker du Sista dag att ansöka är 2023-07-21
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Scandinavian Airlines System Denmark -Norway-Swe Frösundaviks Allé 1 (
visa karta)
169 70 SOLNA
Arbetsplats Huvudkontor
Jobbnummer 7948265
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