Data Scientist for Industrial Automation

10 hours ago


Stockholm, Stockholm, Sweden Alfa Laval Corporate AB Full time
About the Company

Alfa Laval Corporate AB is a pioneer in developing innovative technologies that drive progress in vital areas such as energy, food, water, and shipping. With a 140-year history of rapid growth and a start-up culture, we are committed to making a positive impact on our colleagues, partners, customers, and society.

We are seeking an experienced Data Engineer to join our dynamic technology team. The ideal candidate will have a strong background in Python and Azure Services, with extensive experience in data exploration, identifying use cases, and developing algorithms for automatic data processing. This role requires expertise in optimizing existing solutions and implementing new cutting-edge technologies to enhance our product offerings.

Key Responsibilities:
  1. Developing data pipelines and frameworks to ensure efficient data processing and insights extraction.
  2. Exploring data to find new use cases, detect issues, and faults, and providing data-driven decision-making support.
  3. Implementing cloud-based algorithms to extract valuable features from timeseries telemetry data and other sources.
  4. Communicating findings to stakeholders and ensuring solutions meet requirements outlined in design documentation within agreed timeframes, cost, and quality standards.
  5. Practicing Test-Driven Development (TDD) to ensure code quality and reliability.
  6. Designing and implementing scalable microservices architectures and collaborating with cross-functional teams to deliver high-quality solutions.

About You

You are an independent, quick-learning, and experienced person with problem-solving skills, attention to detail, and quality of output. As part of a team, you thrive on energy and extra motivation. You are structured and driven, with the ability to see the big picture, self-motivated, and able to effectively prioritize tasks, take initiative, and handle multiple tasks simultaneously. Developing yourself and your colleagues comes naturally to you. An interest in industrial machines, its applications, sensors, and performance optimization is a significant bonus.

Your Skills and Qualifications:
  1. Experience working with CI/CD pipelines and Azure DevOps.
  2. Hands-on experience working with SQL and Timeseries databases, specifically Postgres and InfluxDB.
  3. Proficiency in Python and Azure services.
  4. Knowledge of machine learning and MLOps techniques and tools for data visualization and exploration.
  5. Competence in ensuring data integrity, accuracy, consistency, and overall quality.
  6. Ability to deal with a multitude of different data formats, APIs, and databases.
  7. Experience writing unit tests.

Benefits and Opportunities

A challenge like no other, a chance to be part of something new that could be a game-changer in the industry. A creative environment with flexibility and work-life balance, where you can help our customers and our planet through insights that reduce waste, emissions, machine downtime, and energy use. Daily challenges mean there's never a routine, and every day brings new opportunities for growth and development.

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