AI Researcher

1 day ago


Stockholm, Stockholm, Sweden Sigma Group Full time
Why Work for Us?

Sigma Industry Development is a dynamic and innovative company that offers a unique opportunity to make a meaningful impact. We value our employees' contributions and provide a supportive work environment that fosters growth and development.

What We Offer

  • A chance to work on exciting projects that drive business growth and improve decision-making
  • A collaborative and inclusive work environment that encourages teamwork and creativity
  • A comprehensive benefits package that supports your well-being and financial security
  • The opportunity to learn and grow with a talented team of professionals

Job Description

Data Scientist/Machine Learning Engineer Role

We are seeking an exceptional Data Scientist/Machine Learning Engineer to join our team. As a key member of our data science team, you will play a pivotal role in designing and implementing advanced machine learning models that drive business growth and improve decision-making.

Your primary responsibilities will include:

  • Developing and deploying predictive models that accurately forecast trends and outcomes
  • Designing and implementing data pipelines that efficiently collect, process, and analyze large datasets
  • Collaborating with cross-functional teams to integrate data-driven insights into business strategies
  • Staying up-to-date with emerging technologies and best practices in machine learning and AI

Requirements and Qualifications

To be successful in this role, you will need:

  • A Master's degree in Computer Science, Applied Physics, or Mathematics
  • At least 5 years of experience working as a Data Scientist/Machine Learning Engineer
  • Proficiency in programming languages such as Python or R
  • Experience with big data processing tools like Hadoop and Apache Spark
  • Familiarity with SQL and NoSQL databases
  • Strong communication and collaboration skills

About Us

Sigma Industry Development is a company that values teamwork, diversity, and continuous learning. We believe in creating a work environment that is inclusive, supportive, and challenging. If you are passionate about making a difference and driving innovation, we would love to hear from you


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