
Data Specialist
2 weeks ago
Key Roles and Responsibilities
- This position involves collaboration with various business leaders to derive insights from data and answer complex queries using statistical analysis, machine learning, natural language processing, and generative AI.
- The ideal candidate will utilize their expertise to propose innovative solutions to problems by leveraging available enterprise and third-party data.
- As a member of the global team, you are expected to work across different time zones and foster strong relationships with colleagues worldwide.
Required Skills and Qualifications:
- A strong foundation in mathematics and statistics is necessary for this role. Additionally, proficiency in machine learning algorithms and cloud platforms is essential.
- Bachelor's or master's degree in computer science, applied mathematics, statistics, or a related field is required.
Technical Requirements:
- Hands-on experience with statistical and predictive modeling, including deep learning techniques (GANs, VAEs, Transformers), is required.
- Expertise in classical data science methodologies is also necessary.
- Proficiency in tools like SQL, R, or Python for data analysis is required.
Preferred Candidate Profile
- A bachelor's or master's degree in computer science, applied mathematics, statistics, or a related field is preferred.
- Experience working with global teams and collaborating across different time zones is beneficial.
Tips for Success
- Familiarity with classical data science methodologies and hands-on experience with statistical and predictive modeling are highly valuable.
- Strong communication skills and ability to work effectively with cross-functional teams are essential.
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