Data Scientist 2
Data Scientist 2
Posted on :
16-01-2025
Employer Active
1 Vacancy
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Job Description
- Develop analytical solutions for insights into product quality and reliability.
- Develop automated process around data extraction processing engineering analysis.
- Work with other data scientists data engineers to strive for greater functionality of our big data platform on our advanced analytics and 4IR initiatives.
- Implement AI/ML based algorithm to solve various product quality challenges.
- Document solutions developed.
- Work with the other Data scientists to collectively integrate developed modules into larger endend solutions.
Qualifications :
- Bachelors degree in a quantitative field such as Data Science Computer Science Statistics Mathematics with minimum 2 years of experience.
- Knowledge of the AI/ML lifecycle management and tools including EDA Modeling Integration/Deployment Data/Model drift detection Model retraining etc.
- Familiarity with core techniques in statistical and machine learning e.g. regularized regression time series analysis decision trees boosting algorithms neural networks clustering and collaborative filtering.
- Experience working with structured semistructured and unstructured data sources.
- Familiar with collaborative solutions model & code versioning (Github) solution packaging (Docker) model deployment (Dataiku).
- Proficient in programming languages such as Python R and SQL (for data manipulation cleaning and analysis) Tableau PowerBI or Spotfire NumPy Pandas and Matplotlib for visualization.
- Experience in developing and deploying generative AI models and large language models (LLMs).
- Ability to define problems generate hypotheses develop and test solutions and effectively communicate complex technical concepts to nontechnical stakeholders.
- Attention to detail.
- Ability to collaborate effectively with others to achieve project goals.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
Key Skills
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