
Data Analytics Specialist
5 days ago
Job Title: Data Analytics Specialist
Description:
- We seek a highly skilled Data Analyst to collaborate with business leaders and analytics teams to generate insights using statistical analysis, machine learning, natural language processing, and generative AI.
- The successful candidate will propose innovative approaches to problem-solving and apply them to available data.
- This role involves working with global teams across different time zones.
- A bachelor's or master's degree in computer science, applied mathematics, statistics, or a related field, along with 6 years of experience or 4+ years in data analysis and predictive modeling is required.
- Proficiency in machine learning algorithms, including deep learning techniques (GANs, VAEs, Transformers), and experience with ML Ops/AI Ops are essential.
- Expertise in cloud platforms (AWS, Azure, GCP) for scalable model training and deployment, as well as knowledge of classical data science and generative AI methodologies are necessary.
- Hands-on experience with statistical and predictive modeling (e.g., regression, clustering, neural networks) and areas such as deep learning, NLP, causal inference, or time series forecasting are also required.
Requirements:
- Proficient in tools like SQL, R, or Python for data analysis.
About the Role: We are looking for an experienced Data Analyst to join our team. As a Data Analyst, you will work closely with business leaders and analytics teams to generate insights and answer queries using statistical analysis and/or machine learning, natural language processing, and generative AI.
What You'll Do: Develop and maintain large-scale data systems; design and implement machine learning models to solve complex problems; work with cross-functional teams to drive business growth through data-driven decisions.
Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, or related field; 6+ years of experience 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).
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