Data Science Specialist

1 day ago


Stockholm, Stockholm, Sweden Sigma Group Full time
Job Summary

We are seeking a highly skilled Data Scientist/Machine Learning Engineer to join our team. As a key member of our data science team, you will design and implement 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

About the Company

Sigma Industry Development is a forward-thinking organization dedicated to harnessing the power of technology to drive positive change. Our mission is to empower innovation and foster a culture of continuous learning.

We are passionate about tackling complex challenges and developing cutting-edge solutions that make a real impact. Our team is comprised of talented individuals who share a common vision and are driven by a desire to push boundaries and achieve excellence.

Our Values

  • Teamwork
  • Diversity and inclusion
  • Continuous learning

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

Benefits

We offer a comprehensive benefits package that includes:

  • TGL Group Life Insurance
  • Cellphone and subscription
  • Additional life & accidents insurance
  • Parental salary subsidy
  • Wellness contribution


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