Data Scientist Executive

Responsibilities

• Design, develop, and implement machine learning models and algorithms to address business challenges.
• Analyze large and complex datasets to extract actionable insights that drive decision-making.
• Ensure data quality and accuracy through proper validation and testing processes.
• Collaborate with cross-functional teams to identify data needs, define problems, and implement solutions.
• Develop predictive models to anticipate user behavior and optimize product and business outcomes.
• Create compelling visualizations and reports to communicate findings to technical and non-technical stakeholders.
• Research and stay updated with the latest advancements in data science, machine learning, and generative AI.
• Design and optimize generative AI systems, including developing and fine-tuning prompts for tools like ChatGPT or DALL-E.
• Work on integrating generative AI models into business processes to enhance user experiences and drive innovation.
• Collaborate with product teams to transform data and machine learning models into robust, scalable, and user-centric AI products.

Minimum Requirements

• Bachelor’s or Master’s Degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• At least 1-3 years of experience in data science or related fields.
• Proficiency in Python, R, or other programming languages used for data science.
• Strong command of SQL and familiarity with cloud-based databases like Google BigQuery.
• Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Expertise in data visualization tools (e.g., Looker, Tableau, Power BI).
• Familiarity with big data tools (e.g., Spark, Hadoop) is a plus.
• Experience in designing and optimizing generative AI prompting systems (e.g., ChatGPT, DALL-E).
• Knowledge of generative AI concepts, including prompt engineering and fine-tuning large language models.
• Strong statistical and mathematical foundation, with the ability to apply concepts to solve real-world problems.
• Proficiency in A/B testing, regression analysis, and other statistical methods.
• Excellent problem-solving and critical thinking abilities.
• Strong communication skills to articulate insights effectively to diverse audiences.