SANDVIK AB
Sweden, Stockholm
At CODE, we have a clear mission: to design, build and deploy innovative, digital-first solutions that solve important challenges in the world of manufacturing. We believe we are uniquely positioned to combine deep industrial domain expertise with cutting-edge advances in artificial intelligence and digital user experiences to create compelling and customer centric solutions to big problems.
We are a digital growth venture; starting with a clean slate and no legacy but still hitting the ground running. Unlike many other ventures and startups, we don’t have a funding issue; we’re backed by one of the most resourceful industrial players you can find. As we continue our journey, we want mature, independent professionals with a genuine passion for impacting the life of people and a drive to solve big problems at massive scale. We want doers.
One of the doers we are looking for is a Data Scientist, to join us in building our new portfolio of services and products; aiming to transform the manufacturing industry. This position is located in our brand-new office at Regeringsgatan, in the heart of Stockholm.
Job Summary
In this role, you play a vital part in developing our tech stack by combining your interest for new technology with a passion for solving hard manufacturing problems. You are part of our data science organization, with the mission to turn proof-of-concepts and ideas into production-ready features for consumption by our broader digital services portfolio.
Your responsibilities
• Working closely with our executives, product managers, engineers and designers to identify and map out the most purposeful use cases for data science and artificial intelligence inside Sandvik Machining Solutions.
• Working with Sandvik’s engineering teams to design and develop conceptual models and derive best practices from integration of data science into existing and new products and services.
• Prototyping, validating and iterating data science-driven use cases across strategic focus areas within the Group, including additive manufacturing, metal cutting, logistics and planning and cross-team collaboration.
Concrete examples from a life of a Data Scientist @ CODE:
• Finding anomalies in a live data stream from a large array of sensors that monitor an industrial process. Looking at vast amount of collected data, you search for ways to improve quality and increase productivity.
• A skilled operator can hear if milling is not going as it should. Can you make a model that will tell the user if the process is not going well?
• Mining the internet in search for relevant information on manufacturing and turning it into a data product. What patterns emerge when we aggregate the data? What new information do we have on our customers?
Your skills and qualifications
Data Science is a vast and multidisciplinary field. We are looking for people with extensive knowledge in one of the following areas:
• Machine learning
• Time series analysis
• Statistics, applied mathematics or computational physics
• Cloud computing and building data products
• Supply chain, manufacturing and other relevant domains
Other required skills
• At least two years’ experience in designing, building and deploying data science solutions in a professional environment
• Knowledge of at least one machine learning library (e.g. Theano, Torch, Caffe, TensorFlow or CNTK)
• Python
• Visualization of (large) data sets
• SQL or NoSQL
• Great communication skills in English, both verbally and written
Bonus skills and qualifications
• R, Scala or similar language
• GCP, AWS, Azure or equivalent
• D3.js, dygraphs or equivalent
• Apache Spark or other distributed programming framework
• Graph databases (e.g. Neo4j)
• Containers and container-orchestration systems (e.g. Docker & Kubernetes)
• Scientific papers in peer-reviewed journals
We are a company with an open-minded culture, actively working to create a workplace that is characterized by diversity and inclusion.
Application
We have an ongoing selection in this business crucial recruitment. Please send your application as soon as possible, and no later than August 31 2018. Read more about Sandvik and apply at www.sandvik.se/career, Job ID: R0001807. Since we’d love to get to know you better as a data scientist, please showcase your skills by adding your StackOverflow profile, GitHub username, ORCID or equivalent in your application.
Contact information
For further information about this position, please contact:
Lukasz Tracewski, hiring manager, lucasz.tracewski@sandvik.com
Union contacts - Sweden
Thomas Lilja, Unionen, +46 (0)70 261 04 82
Anna Åkesson, Akademikerföreningen, +46 (0)70 642 83 29
Peter Olsson-Andrée, Ledarna, +46 (0)26 261 984
For more information about the recruitment process, please contact HR Services, +46 (0)26 261 444.
Prior to this recruitment, we have already decided on what advertising channels and marketing campaigns we wish to utilize. In light of this, we respectfully decline any contact with marketing or recruitment agencies regarding additional channels or campaigns.
With local presence in 150 countries, in excess of 30 billion SEK in annual turnover and more than one Terabyte of machine data generated every second, Sandvik Machining Solutions is a world leader in engineering solutions for manufacturing. With our brand recognition and global reach, we want to democratize access to manufacturing, putting world-leading industrial know-how at the fingertips of any digital transformation inside industrial markets around the world. To do so, we created CODE.
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