Data Scientist

Responsibilities:

• Develop, train, and optimize machine learning models for diverse applications such as predictive analytics, recommendation systems, and anomaly detection.
• Build scalable ML workflows and pipelines using Amazon SageMaker, AWS Lambda, and other cloud-based technologies.
• Integrate OpenAI APIs and other advanced AI/ML frameworks into operational systems.
• Prepare and preprocess large, complex datasets for machine learning, ensuring data quality and consistency.
• Conduct exploratory data analysis (EDA) and feature engineering to enhance model performance.
• Design and implement data transformation workflows using cloud-based and open-source tools.
• Implement MLOps practices for seamless deployment, monitoring, and maintenance of ML models in production environments.
• Optimize deployed models for performance, scalability, and reliability.
• Work closely with cross-functional teams, including engineering, product, and business units, to understand requirements and deliver data-driven solutions.
• Clearly communicate technical findings and methodologies to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in machine learning and AI, recommending and implementing new tools, frameworks, and approaches.
• Contribute to knowledge-sharing and mentoring within the team.

Requirements:

• Bachelor’s/Master’s in Computer Science, Data Science, Statistics, or related field.
• Advanced degrees or AI/ML certifications are a plus.
• Proficiency in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with cloud platforms like AWS SageMaker, Lambda, or similar.
• Familiarity with OpenAI APIs and advanced AI tools.
• Hands-on experience with MLOps for model deployment and monitoring.
• Knowledge of containerization tools like Docker and Kubernetes.
• Strong skills in data preprocessing, feature engineering, and creating scalable pipelines.
• Ability to handle large datasets and ensure data quality.
• Expertise in building and optimizing machine learning models.
• Strong analytical and troubleshooting skills.
• 3+ years in data science or related fields with a proven track record of delivering solutions.
• Clear communication of technical concepts to diverse audiences.
• Team player with strong collaboration and mentoring abilities.
• Stay updated on advancements in AI, machine learning, and tools.