Synteda AB specializes in helping companies effectively embrace the era of artificial intelligence and computer vision. By delivering innovative solutions, we empower businesses to take full advantage of the vast possibilities presented by these cutting-edge technologies. We firmly believe in the potential of AI and computer vision to benefit society, and we’re committed to leveraging our expertise to facilitate businesses in their journey towards this exciting new era. Our close collaboration with top universities in Sweden enables us to work with clients across a broad range of industry fields.
We’re actively engaged in developing several unique products and solutions, using a work process that we call “dream-innovate-create.” This approach involves subjecting our ideas to rigorous scrutiny and feasibility testing, using agile methodologies to refine our solutions until we’ve achieved a full-scale product.
We’re proud to have a core team of highly qualified experts who excel at providing assessment services to identify business challenges and develop customized algorithms to overcome them. We’re guided by our commitment to ethical awareness, curiosity, transparency, respect, participation and science.
As we continue to grow, we’re actively seeking talented data scientists to join our team of experts. If you’re passionate about advanced technologies and want to be part of an exciting and dynamic organization, we encourage you to apply today.
The successful candidate will be responsible for working on various platforms and customer assignments, collaborating with other data scientists, enhancing existing applications, and researching, building, and implementing new solutions. This role is ideal for someone who is passionate about leveraging knowledge and expertise to solve complex problems and drive business growth.
Responsibilities
- Collaborate with data scientists to test and develop new algorithms across various platforms and customer assignments.
- Enhance existing applications and platforms to optimize performance and user experience.
- Research, build, and implement innovative data-driven solutions to address business challenges.
- Develop and analyze new data models to support data-driven decision-making.
- Apply optimization techniques to improve the efficiency of previous projects and processes.
- Analyze multi-variable data sets to extract insights and inform strategic decisions.
- Promote best practices in data science and share knowledge across the team.
Skills
- Bachelor’s, Master’s, or Ph.D. degree in Computer Science or a related field.
- Proficiency in programming languages (Python, C#, C/C++, Spark, Java/Scala).
- Experience with scientific computing (Matlab or R).
- Familiarity with big data processing tools (Spark, Hadoop, Dask).
- Knowledge of data science libraries and frameworks (Numpy, PyTorch, TensorFlow, Scipy, Pandas).
- Experience with big data tools (Elasticsearch/Solr, Kafka) and ETL/ELT processes.
- Hands-on experience with Databricks, Azure tools, and AI/machine learning models.
- Proficiency in data manipulation and cleaning using tools (Pandas, Dplyr, or similar libraries).
- Experience with data visualization tools (Matplotlib, Seaborn, Tableau).
- Familiarity with cloud platforms (AWS, GCP, Azure) and their data services.
- Strong problem-solving skills, attention to detail, and ability to collaborate with multidisciplinary teams.
- Solid understanding of data engineering, data modeling, and multi-variable analysis.
- Familiarity with Agile development methodologies.
- Fluency in English, both spoken and written, is required.
- Proficiency in Swedish is a plus.
Preferred Qualifications:
- Experience in Natural Language Processing (NLP) or Computer Vision using deep learning techniques.
- Familiarity with optimization algorithms and reinforcement learning.
- Background in deploying machine learning models in a production environment.
- Experience with data pipeline tools like Apache Airflow, Luigi, or Prefect.
- Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
