Lead Data Scientist

Role & responsibilities

AI and ML strategy:

• Develop and implement AI and ML strategies aligned with business objectives.
• Stay abreast of industry trends and emerging technologies to ensure our strategies remain cutting-edge.
• Constructively challenge the other data scientists on approach
• Utilize and provide expertise in leading AI platforms, frameworks, and libraries.
• Evaluate and recommend new tools and technologies to enhance our machine learning capabilities.

Lead the AI solutions deliver:

• Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI. Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally ensure support the post-production to ensure model performance degrades are proactively managed.
• Is considered an expert in at least one of functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions

Model development and Explorations:

• Lead and contribute to the development of machine learning models from ideation to production deployment.
• Hands-on experience with Google Cloud Platform's Vertex AI for building, deploying, and managing machine learning models.
• Oversee the entire development life cycle of AI solutions including MLOps practices, ensuring high-quality and scalable deliverables.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing products or processes.
• Lead explorations for AI techniques, platforms and tools.

AI Literacy and Mentorship:

• Mentor and guide a team of data scientists in approach for AI solution delivery.
• Foster a collaborative and innovative team environment.
• Contribute to the overall effort to educate stakeholders on AI practices.
• Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability.

MINIMUM QUALIFICATIONS

• Overall 12+yrs of Industry experience with 8+ years in providing data science solutions.
• Bachelors degree in engineering/ technology
• Proven skills in leading implementations of AI solutions.
• Experienced in providing technical mentorship.
• Expertise in supervised ML algorithms, optimization, and performance tuning.
• Technical Platform- include proficiency on Google Cloud Platform, SQL, Python, spark, Tensorflow.
• Technical Concepts- ML Ops, Containerization, Data Lineage and Visualization.
• Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.
• Excellent stakeholder management skills and storytelling skills.
• Expert level skill set - AI solutions architecture, Python, SQL. Google Cloud Platform Vertex AI, BQ, Composer, Cloud Storage supervised algorithms.
• Intermediate Level Skill set - ML Ops, GCP cloud architecture, At Scale & Alation and Deep Learning

PREFERRED QUALIFICATIONS

• Prior experience with CPG/ Retail industry.
• Publications or contributions to the data science and AI community.
• Certifications in AI, machine learning, or related fields.