Key Responsibilities:
Data Science and Machine Learning:
- Develop and deploy advanced data science and machine learning models to solve complex business problems.
- Fine-tune models for improved accuracy and performance.
- Implement and optimize algorithms using statistical programming languages such as Python, R, or similar tools.
Generative AI:
- Utilize Generative AI technologies to create innovative solutions and drive AI-based projects in space of marketing analytics
- Maintain an understanding of the latest advancements in Generative AI and incorporate cutting-edge techniques into the workflow.
Data Analysis and Interpretation:
- Conduct exploratory data analysis to determine trends, patterns, and insights.
- Translate data findings into actionable recommendations and collaborate to present them to stakeholders.
Data Management:
- Ensure data integrity, accuracy, and security.
- Manage large datasets efficiently and use appropriate data processing techniques.
Qualifications:
- Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Experience: Minimum of 3-5 years of experience in data science and machine learning. Also, proven experience with Generative AI tools and technologies.
- Technical Skills:
- Proficiency in programming languages such as Python, R, or SQL.
- Strong understanding of data science, machine learning, and AI algorithms.
- 1+ year of hands-on experience using GenAI, language models and technologies.
- Strong data process skills, SQL, ETL, analytical thinking, and problem-solving skills.
- Proficiency in Python libraries for AI is essential.
- Multi-task and prioritize in a fast-paced environment.