Senior Data Scientist
1 week ago
Responsibilities:
• Ideate and prototype new solutions to address emerging business requirements.
• Deploy advanced machine learning techniques like deep learning, NLP, computer vision, and reinforcement learning to develop innovative solutions.
• Lead multiple data science projects, ensuring they align with business goals.
• Develop and optimize predictive models and integrate them with Business Intelligence tools.
• Maintain and manage data pipelines for efficient data retrieval and processing.
• Collaborate with applications and data engineering teams for deploying models at scale.
• Mentor junior data scientists in model development and data handling.
• Engage with senior leadership to inform strategic decisions using business intelligence insights.
• Research and adopt cutting-edge technologies and methodologies in data science.
• Perform exploratory data analysis to identify patterns, insights, and communicate findings.
• Manage stakeholder expectations and deliver actionable solutions.
• Oversee data processing pipelines, ensuring data quality and consistency.
• Drive ethical considerations in model deployment and data utilization.
• Collaborate with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets.• Must possess a minimum of 5 years of professional experience as a Data Scientist or a related role
• Proficiency in Apache Kafka, Apache Pig, and Apache Spark is required
• Demonstrated experience with Cloud Technologies is essential
• Must have a strong background in Data Visualization techniques
• Proficiency in Algorithm Implementation is crucial
• Must have a solid understanding and experience with Analytics
• Demonstrated experience with Apache Hadoop is necessary
• Experience in API Development is a must
• Must have hands-on experience with AWS Technologies
• Strong understanding of Natural Language Processing techniques is required
• Proficiency in PyTorch and TensorFlow is essential
• Must have the ability to work independently, as well as collaboratively in a team
• Excellent communication and presentation skills are required
• A degree in Computer Science, Statistics, Applied Math or related field is preferred
• Must have the ability to manage multiple projects simultaneously and meet deadlines
• Must have a strong problem-solving ability and attention to detail
• Familiarity with machine learning frameworks and libraries is a plus.
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