Sigma Industry

Data scientist/Machine learning engineer

Job description

Job Description

Do you also want to make the world a little better while devoting yourself to cutting-edge technology development? Then Sigma Industry Development is the right company for you.

As a data scientist/machine learning engineer at Sigma Industry Development, you will:

  • Design solutions for distributed computing to handle large datasets
  • Develop domain expertise to better understand business problems and provide relevant solutions for the organization/client
  • Creating clear and effective visualizations to present findings through visualizations and reports to non-technical stakeholders; communicating complex findings in a clear and understandable manner
  • Collaborating with cross-functional teams, including business analysts, engineers, and decision-makers
  • Applying critical thinking to frame and solve complex problems
  • Adopting an iterative approach to problem-solving, refining models based on feedback
  • Understanding and adhering to data privacy and ethical considerations
  • Feature Engineering - Creating and selecting relevant features to improve model performance

And remember – besides the unlimited possibilities to engineer cutting-edge technology, you're an addition to our team; you become an integral part of the Sigma family, weaving your unique thread into the intricate tapestry of our company's path forward. Your presence holds the potential to shape our collective journey, infusing it with your skills and perspectives.

Welcome to the Sigma family. Your journey starts now, where each line of code etches a mark of your contribution on the canvas of our collective ambition.

Basic Qualifications


  • B.Sc. or M.Sc in Computer Science or Applied Physics/Mathematics


  • Data Analysis - Proficient in exploratory data analysis (EDA) to understand data patterns and trends.
  • Statistical Modeling - Designing and implementing statistical models to derive insights from data.
  • Hypothesis Testing - Conducting hypothesis testing to validate assumptions and make data-driven decisions.
  • Programming Languages - Proficiency in programming languages such as Python or R for data manipulation and analysis; developing predictive models to forecast future trends and outcomes.
  • Data Cleaning and Preprocessing - Cleaning and preprocessing raw data to prepare it for analysis.
  • Data Wrangling - Manipulating and transforming data into a suitable format for analysis.
  • Machine Learning and algorithm Selection - Selecting appropriate machine learning algorithms based on the nature of the problem.
  • Model Evaluation - Evaluating model performance using metrics like accuracy, precision, recall, and F1-score
  • Feature Engineering - Creating and selecting relevant features to improve model performance
  • Hyperparameter Tuning - Optimizing model hyperparameters for better performance
  • Big Data Technologies - Familiarity with big data processing tools like Hadoop and Apache Spark
  • SQL and NoSQL Databases - Proficiency in working with both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.


  • Swedish and English (spoken and written)

Preferred Additional Skills, Personal Traits And Experience

You embody the spirit of a passionate team player, adept at fostering positive interactions through exceptional soft skills. What sets you apart is your unwavering enthusiasm for both professional growth and enjoyment in the process. Just as we do, you believe that learning should be a journey of discovery and excitement.

If the realm of AI holds a special place in your interests, consider it an added advantage. We're thrilled at the prospect of delving into the world of artificial intelligence alongside you. Together, we'll nurture and cultivate these skills, turning curiosity into expertise, and evolving with the ever-changing landscape of technology.

We offer

Sigma Industry Development offers you a platform to shape your future. A company where you can excel in your career and simultaneously contribute to the greater good.

Corporate Social Responsibility (CSR) – a selection


Our core values are

  • Family identity – have fun together and show appreciation.
  • Teamplay – engage, learn, and give feedback.
  • Gender equality & equal treatment – we are all the same: humans.
  • Action – act to excel.

In Addition, Sigma Offers a Range Of Benefits

  • TGL Group Life Insurance
  • Cellphone and subscription
  • Additional life & accidents insurance
  • Occupational Pension scheme
  • Parental salary subsidy
  • Wellness contribution
  • Flexible working hours
  • Hybrid workplace

Apply today if you like to know more about Sigma Industry Development.

More information

To apply – Register your resume via our website (link in add). The recruitment process is continuously ongoing.

For further information please contact, Oscar Silversparf (

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