Position Title: Data Scientist 4 : Roles & Responsibilities:
Define the long-term vision and strategy for data science initiatives: Set the direction for the organizations data science, ML, and AI efforts, including advanced analytics, predictive modeling, and AI-driven automation.
Lead and mentor a team of data scientists: Provide technical guidance, and mentorship for team members.
Identify and explore cutting-edge research areas and technologies: Stay abreast of the latest advancements in ML, AI, and data science, and evaluate their potential for the organization.
Drive innovation and the development of novel data science solutions: Lead new technology exploration and experimentation efforts, prototype new approaches, and oversee implementation of advanced models.
Collaborate with executive leadership on strategic decision-making: Align data science initiatives with business objectives and organizational priorities.
Establish and enforce data science standards and best practices: Ensure quality, reproducibility, and ethical use of data and AI across the organization.
Represent the organization in external data science communities: Speak at conferences, publish thought leadership, and build partnerships with academia and industry.
Technical Skills
12+ - years of experience
Mastery of relevant technical skills: Deep expertise in data science, ML, and AI, including advanced techniques such as deep learning, NLP, and generative models.
Significant experience in designing and implementing complex data science systems at scale: Lead the architecture and deployment of large-scale ML/AI solutions on GCP.
Strong leadership and team management skills: Build, mentor and influence high-performing data science teams.
Excellent strategic thinking and problem-solving abilities: Translate business challenges into data-driven solutions and drive organizational impact.
Exceptional communication and influencing skills: Advocate for data science initiatives, influence executive decisions, and represent the organizationthrough conferences, publications, and industry engagement .
Must Have Skills:
Deep expertise in ML, AI, and advanced analytics (e.g. deep learning, NLP, generative models)
Experiencebuilding,deploying large-scale ML solutions on GCP
Strong leadership and team mentoring in data science
Strategic mindset with ability to align technical work to business goals
Experience with retail and supply chain domain knowledge
Hands on experience with Python, Spark, SQL, GitHub, Google Cloud Platform, Vertex AI, Kubeflow, TensorFlow