Data Scientist
4 weeks ago
About the job :
Key Responsibilities :
- Data Analysis : Analyze large, complex datasets to extract meaningful patterns, trends, and insights.
- Predictive Modeling : Develop and deploy machine learning models to predict outcomes, identify opportunities, and mitigate risks.
- Algorithm Development : Design and implement algorithms to solve business problems and optimize processes.
- Statistical Analysis : Apply statistical methods to validate hypotheses, conduct A/B testing, and measure performance.
- Data Visualization : Create visually compelling and intuitive dashboards and reports to communicate findings effectively.
- Collaboration : Collaborate with cross-functional teams including engineering, product management, and business stakeholders to understand requirements and deliver solutions.
- Continuous Learning : Stay updated with the latest advancements in data science, machine learning, and related fields, and apply them to enhance our analytical capabilities.
Qualifications :
- Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (Master's or PhD preferred).
- Proven experience (X years) working as a Data Scientist or in a similar role.
Proficiency in programming languages : Python, R, or Java, and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong analytical and problem-solving skills with a deep understanding of statistical methods and machine learning techniques.
- Experience with data visualization tools (e.g., Tableau, Power BI) and SQL databases.
- Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders.
- Strong attention to detail and ability to work independently as well as part of a team in a fast-paced environment
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