Data Scientist
Getinge
- Getinge, Halland
- Permanent
- Heltid
- Create data science based solutions involving modern ML concepts applied to business use-cases
- Work in and develop LLM or other GenAI capabilities to address business use-cases
- Perform data visualizations and EDA to better understand the usage of existing data to solve business problems
- Develop code to categorize, store and catalog data clusters to better prep them for use in ML solutions
- Run large-scale experiments, from unsupervised pre-training, to fine-tuning, retrieval augmentation and prompt engineering
- Help with MLOps as necessary to study and maintain the good health of models running in production
- Scale models (LLM or otherwise) for use in production
- Design and develop high-quality prompts and templates that guide the behavior and responses of LLM
- Craft prompts to elicit specific information or control the model's output, ensuring desired accuracy, relevance, and language fluency. Optimize prompts to improve user interactions and system performance
- Evaluate LLM models on statistical tests, business metrics, and bias an other regulatory metrics
- Investigating the current state of the art of experimentation practices and causal inferencing/ML techniques identifying opportunities for upscaling the methodology best practices
- Develop and execute advanced data-driven experiments to optimize various aspects of Getinge's business
- Creation of test hypothesis, experiment design including KPI selection, and collection and analysis of data.
- Bachelor's Degree in Computer Science or Data Science, or equivalent work experience.
- A minimum of 5 years of relevant experience
- Experience with Azure Cloud Services, Azure Databricks, Azure Data Lake Storage, and others.
- Proficiency in SQL, Python or R ( with knowledge of Pandas, NumPy etc.).
- Proficiency in popular ML frameworks ( Scikit-Learn, TensorFlow, or PyTorch )
- Proficiency in popular data visualization tools such as (Matplotlib, Seaborn, or Plotly)
- Experience with big data tools such as Hadoop, Spark etc. are a big plus.
- Understanding ethical considerations in Data Science, including privacy, bias is a plus
- Have taken relevant courses in Math, Statistics and Datascience that are required to be a data scientist
- Experience and skills in sourcing data, EDA, data wrangling and cleansing, reading and writing data in an hyper-scaler environment
- Knowledge of the data science pipeline (end to end) and associated tools
- Experience in designing and implementing data science solutions in a hyper-scaler environment.
- Experience using a notebook based environment and have opinions on what works for you the best
- Familiarity in using LLM technologies to build enterprise wide solutions
- Experience with fine-tuning vs inference with LLMs
- Proven ability to successfully handle multiple priorities and possess a high level of discipline while remaining flexible.
- Excellent interpersonal skills in dealing with internal customers at all levels in a team environment. Strong written and oral communication skills are necessary.
- Strong, demonstrated computer skills, including proficiency in MS Office applications (Word/Excel)