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Chief Data Strategist
3 weeks ago
A Data Scientist plays a pivotal role in informing business strategies and optimizing operations by collecting, analyzing, and interpreting data to extract valuable insights.
Key Responsibilities:- Data analysts employ statistical methods to collect and organize data, applying problem-solving skills to identify solutions.
- Develop solutions to problems encountered in data collection and cleaning, as well as in developing statistical models and algorithms.
- Gather data from multiple sources and prepare it for analysis.
- Analyze large volumes of structured and unstructured data to identify trends and patterns.
- Develop machine learning models and predictive algorithms to solve business challenges.
- Utilize statistical techniques to validate findings and ensure accuracy.
- Create clear, engaging visualizations and reports to communicate results.
- Collaborate with various teams to apply data-driven insights.
- Bachelor's degree in Data Analytics, Information Systems, or a related field.
- 5-8 years of experience in a Business Analyst or Data Analyst role (SFIA level 3-4).
- Proficiency in Python, C++ programming languages.
- Experience with cloud-based platforms such as AWS Bedrock and GCP Vertox.
- MLops scalability and model development expertise.
- Containerization skills using Docker.
- Excellent communication - both visual and verbal.
- Ability to collaborate with business stakeholders with proactivity and cross-functional collaboration capabilities.
The ideal candidate will demonstrate expertise in programming, statistical analysis, and machine learning techniques, with a strong ability to communicate complex ideas effectively.
This role is an excellent opportunity to work closely with various departments to apply data-driven insights and drive business growth.