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Data scientist
at Jobisite in New York
We are seeking a highly motivated Data Scientist to join our team. The ideal candidate will have a strong background in statistics, mathematics, and computer science, with experience in data analysis, machine learning, and data visualization. The Data Scientist will be responsible for analyzing large datasets, developing predictive models, and communicating insights to stakeholders.
Key Responsibilities:
- Analyze large datasets using statistical methods and machine learning algorithms
- Develop predictive models to forecast business trends and outcomes
- Communicate insights and recommendations to stakeholders through data visualizations and presentations
- Collaborate with cross-functional teams to identify opportunities for data-driven decision making
- Design and implement experiments to test hypotheses and validate models
- Continuously monitor model performance and make recommendations for improvements
- Stay up-to-date with the latest trends and techniques in data science and machine learning
## Qualifications:
- Master's or PhD degree in a quantitative field such as statistics, mathematics, computer science, or physics
- 3+ years of experience in data analysis, machine learning, or a related field
- Proficiency in programming languages such as Python or R
- Strong understanding of statistical methods and machine learning algorithms
- Experience with data visualization tools such as Tableau or Power BI
- Excellent communication and presentation skills
- Ability to work independently and collaboratively in a fast-paced environment
## Benefits:
- Competitive salary and benefits package
- Opportunity to work with cutting-edge technology and innovative products
- Collaborative and supportive team environment
- Career growth and development opportunities
If you have any further questions or would like to apply for the position, please don't hesitate to reach out.
Reference : Data scientist jobs
Reference : Data scientist jobs
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Published at 08-11-2023
Viewed: 37 times
Viewed: 37 times