About this job

Compensation: kr384k - 540k
Location options: Paid relocation
Job type: Full-time
Experience level: Mid-Level, Senior
Role: Data Scientist
Industry: CNC Machining, Industrial Automation, Manufacturing
Company size: 10k+ people
Company type: Public

Technologies

r, machine-learning, python

Job description

We are now looking for 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
  • 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.

Showcase Your Skills!

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.

Questions?

Please shoot them to Lukasz Tracewski, hiring manager: [email protected]

Detta är en jobbannons med titeln "Data Scientist" hos företaget Sandvik Machining Solutions AB och publicerades på webbjobb.io den 19 juli 2018 klockan 06:10.

Hur du söker jobbet

Notera att denna annons är publicerad via en av våra partners, där särskilda vilkor (krav på medlemskap, separat ansökning eller liknande) kan tillämpas.

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