Senior Data Scientist

KEY RESPONSIBILITIES  

Efficient & Reliable Independent Contributor  

• Independently design and implement complex data science projects, from initial concept through final deployment.  

• Solve critical business problems with minimal oversight, ensuring the delivery of high-quality, impactful solutions.  

• Proactively identify and address potential issues or opportunities for improvement in existing models and processes.  

Leadership and Mentorship  

• Mentor and provide technical guidance to junior data scientists and team members.  

• Foster a culture of continuous learning and improvement within the team.  

Advanced Model Development and Generative AI  

• Lead the design, development, and deployment of advanced predictive models , LLMs, and machine learning solutions.  

• Ensure the scalability, reliability, and performance of data science solutions, implementing MLOps , and LLMOps , best practices.  

Strategic Collaboration  

• Collaborate with business stakeholders to identify and prioritize opportunities for leveraging data to drive strategic business solutions.  

• Communicate complex analytical concepts and findings to non-technical stakeholders, influencing decision-making at the highest levels.  

Research and Innovation  

• Conduct in-depth research and analysis to develop innovative data science solutions that address complex business problems.  

• Drive the adoption of cutting-edge techniques and best practices in data science, machine learning, and AI across the organization.  

Data Pipeline Management  

• Oversee the end-to-end data pipeline, from data collection and processing to model deployment, monitoring, and optimization.  

• Implement robust validation and monitoring processes to ensure data quality and integrity.  

Thought Leadership  

• Stay abreast of the latest trends and advancements in the field of data science.  

• Actively contribute to the organization's thought leadership through publications, presentations, and participation in industry events.  

QUALIFICATIONS  

• Bachelor’s, Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.  

• 8 + years of experience in data science or a related field, with a proven track record of leading and delivering high-impact projects.  

• Deep expertise in advanced machine learning techniques, statistical modeling, and AI.  

• Strong proficiency in programming languages such as Python, with extensive experience in machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch ).  

• Advanced skills in SQL and experience with big data technologies .  

• Proven experience with MLOps practices and tools for model deployment, monitoring, and optimization.  

• Exceptional problem-solving skills and a strategic mindset, with the ability to tackle complex data challenges.  

• Strong leadership and mentorship abilities, with experience guiding and developing junior team members.  

• Outstanding communication skills, both written and verbal, with the ability to effectively convey complex technical concepts to diverse audiences.