
Chief Data Strategist
5 days ago
Develop strategic partnerships with business and analytics leaders to create actionable insights using statistical analysis, machine learning, natural language processing, and generative AI.
- Analyze complex problems and propose innovative solutions leveraging available enterprise and third-party data.
- Collaborate with global teams in diverse time zones to deliver high-quality results.
Required Skills:
- Bachelor's or master's degree in computer science, applied mathematics, statistics, or related field.
- 6 years of postgraduate experience or 4+ years in data analysis and predictive modeling.
- Proficiency in machine learning algorithms, including deep learning techniques (GANs, VAEs, Transformers).
- Expertise in cloud platforms (AWS, Azure, GCP) for scalable model training and deployment.
- Hands-on experience with statistical and predictive modeling (e.g., regression, clustering, neural networks).
Technical Requirements:
- Proficient in SQL, R, Python, machine learning, deep learning, NLP, causal inference, and time series forecasting.
Benefits:
- Design and develop machine learning models to solve complex problems.
- Work with large datasets and apply data visualization techniques.
- Communicate complex technical information to stakeholders.
Why Choose This Role?
This role offers the opportunity to work with a diverse team and contribute to building a better future. If you are excited about the role, we encourage you to apply.
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