Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning
Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness
Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy
Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events
What youll do:
Demonstrate state-of-art expertise in a broad range of Data Science/Machine Learning/AI models and apply this to the design, development, execution, and improvement of tools to solve business problems.
Act as technical team lead to oversee projects and mentor junior data scientists on the team.
Provide and support the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.
Communicate with Technology partners on how to implement the models as needed.
Communicate with leadership on findings, questions and recommendations.
Keep up with the latest techniques in the fields of Data Science/Machine Learning/AI and have a POV on how the COE could leverage the advancement in the areas.
Model compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.
What youll bring: This position is for a person who has strong education background and working experience in Data Science, Machine Learning and AI.
Masters degree in Computer Science, Math, Physics, Engineering, Operations Research, Statistics or other technical field. PhD preferred.
5-10 years of working experience in Data Science/Machine Learning/AI areas. Expert level in utilizing data science platforms such as Pytorch or TensorFlow.
Expert experience in database technologies and distributed datastores (e.g. SQL, NoSQL).
Expert development experience in Python.
Expert level understanding of data science models in regression, classification, clustering, forecasting, recommender systems, NLP, computer vision and others, including basic ML models and deep learning models.
Knowledge of graph model and graph query languages.
Good understanding of Large Language Models.
Knowledge on Gen AI development tools and systems, such as Hugging Face, Pinecone, LangChain, Semantic Kernal, etc.
Knowledge on retailing and talent life cycle.
Rich experience leading big scale data science projects.
