Data Scientist
Posted on :
20-12-2024
Employer Active
1 Vacancy
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Job Description
About the Role
We are seeking a highly motivated Data Scientist to join our team and drive datadriven decisionmaking through advanced analytics and machine learning models. The ideal candidate will have a strong technical background a passion for uncovering insights from complex datasets and the ability to collaborate with crossfunctional teams to solve business challenges.
Key Responsibilities
- Design and implement machine learning models to predict trends detect anomalies and uncover actionable insights.
- Analyze structured and unstructured datasets to identify patterns and opportunities for optimization.
- Develop predictive models and algorithms for key business use cases such as risk management forecasting and segmentation.
- Collaborate with data engineers and analysts to ensure data readiness for analysis and model deployment.
- Use statistical techniques to validate hypotheses assess model performance and improve decisionmaking processes.
- Create and present datadriven insights and recommendations to stakeholders in a clear and compelling manner.
- Deploy monitor and refine models in production environments to ensure scalability and reliability.
- Stay updated on the latest advancements in data science and machine learning incorporating best practices into projects.
Qualifications
- Bachelors or Masters degree in Computer Science Data Science Statistics Mathematics or a related field.
- Proven experience as a Data Scientist with expertise in building and deploying machine learning models.
- Proficiency in Python or R with experience in data manipulation libraries (e.g. Pandas NumPy) and machine learning frameworks (e.g. Scikitlearn TensorFlow PyTorch).
- Strong knowledge of statistical methods data modeling and hypothesis testing.
- Experience working with largescale data in environments such as Elasticsearch or SQL databases.
- Familiarity with data visualization tools (e.g. Kibana Tableau or Matplotlib) for presenting insights.
- Excellent problemsolving and analytical skills with attention to detail.
- Strong communication skills with the ability to translate complex data findings into actionable insights for nontechnical stakeholders.
Preferred Skills
- Handson experience with anomaly detection and forecasting models.
- Knowledge of big data tools and frameworks (e.g. Hadoop Spark).
- Familiarity with MLOps practices and tools for deploying and managing machine learning models in production.
- Experience with cloud platforms (e.g. AWS Google Cloud Azure) for data science workflows.
- Understanding of Elasticsearchs machine learning capabilities is a plus.
Employment Type
Full Time
Key Skills
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