Data Scientist Gen AI
Workplace: Solna, Sverige
Expires: October 12, 2025
Seeking a highly skilled and motivated Data Scientist with strong background in data analysis, deep learning, and GenAI to extract meaningful insights from complex datasets and translate them into actionable strategies for business growth. The role involves collaboration with cross-functional teams to design and implement data-driven solutions for real-world problems.
Main requirements:
- Master’s degree in data science, statistics, computer science, or related field
- 3+ years experience in data science, analytics, or related field
- Strong background in deep learning and GenAI
- Proficiency in Python or R
- Experience with data manipulation libraries such as pandas, NumPy, SciPy
- Knowledge of statistical principles applied to machine learning
- Experience with SQL and relational databases
- Good understanding of foundation models and transformer architecture
Responsibilities:
- Analyze large complex datasets to identify trends and insights
- Develop, implement, and validate predictive models and machine learning algorithms
- Preprocess and clean data to ensure quality and integrity
- Create data visualizations and dashboards for stakeholders
Required hard skills:
- Python
- R
- Data analysis and manipulation with pandas, NumPy, SciPy
- Deep learning techniques and model architecture knowledge
- GenAI and transformer architecture understanding
- SQL
- Statistical principles for ML applications
- Data visualization tools such as Matplotlib, Seaborn
Recommended hard skills:
- Experience with cloud platforms (AWS, Google Cloud, Azure)
- Familiarity with version control systems like Git
- Experience with big data technologies (Hadoop, Spark)
- Experience in genomics
Soft skills:
- Excellent problem-solving skills
- Strong communication skills
- Ability to work effectively in a team environment
Coding languages:
- Python
- R
Frameworks:
- Deep learning frameworks (implied, e.g., TensorFlow, PyTorch)
Natural languages:
- English (Proficient)
Cultural skills:
- Collaboration
- Innovation focus
- Human-centered approach
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