Senior Data Scientist
Tasks
- Analyze structured and unstructured data
- Build generative AI models
- Collaborate with engineering for AI applications
- Create predictive model prototypes
- Define go to market strategy for new products
- Develop and assess analytic tools
- Develop machine learning solutions
- Document model processes and results
- Gather client feedback for product development
- Improve data quality and model fit
- Participate in analytics community through presentations
- Present findings and performance metrics
- Research and integrate new data assets
Perks/Benefits
- Additional health insurance
- Corporate discounts
- Employee assistance program
- Flexible working hours
- Food vouchers
- Health insurance
- Home office
- Internet coverage
- Learning and development programs
- Life insurance
- Paid vacation
Skills/Tech-stack
AWS | Cassandra | Clustering | Data Modeling | GANs | Generative AI | Graph Algorithms | HBase | Hadoop | Hive | Hyperparameter Tuning | Keras | LLMs | Machine Learning | MapReduce | MongoDB | NoSQL | Pandas | Predictive Modeling | PySpark | PyTorch | Python | Scikit-learn | Spark | TensorFlow | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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