Data Scientist

Summary

BrightAI seeks a proficient Data Scientist with 7+ years of experience to analyze complex datasets using advanced analytics and machine learning techniques. The role involves collaborating with cross-functional teams to develop data-driven solutions for cutting-edge projects. Key responsibilities include applying statistical analysis, developing predictive models, creating visualizations, and adhering to data governance standards.

Requirements

• 7+ years of experience in data science (Data Analyst or Data Scientist)
• Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field
• Proven experience in data science, statistical analysis, and machine learning including pattern recognition and predictive modeling
• Proficiency in programming languages such as Python or SQL
• Strong understanding of data manipulation, feature engineering, and model evaluation techniques

Responsibilities

• Apply statistical analysis and machine learning techniques to extract actionable insights from complex datasets
• Develop predictive models and algorithms to solve business challenges and optimize processes
• Explore and preprocess large datasets to uncover hidden patterns and trends
• Create compelling visualizations to communicate insights effectively to both technical and non-technical stakeholders
• Collaborate with data engineers and software developers to implement and deploy machine learning models into production environments
• Continuously optimize and refine models to enhance accuracy and efficiency
• Identify relevant features and variables to improve model performance and contribute to feature engineering strategies
• Work closely with interdisciplinary teams, including software developers, engineers, and domain experts, to integrate data science solutions into broader projects
• Adhere to data governance standards, ensuring the responsible and ethical use of data throughout the development lifecycle

Preferred Qualifications

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Excellent communication skills to convey complex findings and insights to diverse audiences
• Ability to work collaboratively in a fast-paced, innovative environment