Lead I - Data Science

Provide expertise on data analysis techniques using software tools. Under supervision streamline business processes.

Outcomes:

Measures of Outcomes:

Outputs Expected:

Determine Specific Data needs:

Critical business insights:

Code:

Create/Validate Data Models:

Predictive analytics:

Prescriptive analytics:

Code Versioning:

Create Reports:

Document:

Manage knowledge:

Status Reporting:

Skill Examples:

Knowledge Examples:

Knowledge Examples

Data Analysis, Data Modelling, Excellent communication skills, Stakeholder management, Industry knowledge, Latest Research and technology ideas, Machine learning, Advanced Data science techniques As a Staff Data Scientist, youll have the opportunity to Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Lead a team of Data Scientists, Data Analysts, Data Engineers to improve the Catalog Content Quality using advanced Machine Learning and Gen AI. Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train AI/ML models for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights Your Responsibility Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Guides data scientists and senior data scientists across the domain DS team to ensure on-time delivery of ML products Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products. Proactive identification of complex business problems that can be solved using advanced ML and Computer Vision, finding opportunities and gaps in the current business domain Evaluates proposed business cases for projects and initiatives Translates business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables Sets relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution Quantifies business impact and ensures regular impact measurement of all ML products in the domain. Identifies and reviews model evaluation metrics based on analytical requirements Ensures testing information is documented and maintained by the team Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Articulate and present recommendations to business partners and influence plans based on insights Partner and engage with associates in other regions for delivering the best services to customers around the globe Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Promote and support company policies, procedures, mission, values, and standards of ethics and integrity Our Ideal Candidate You are a technically strong and high-performing individual with excellent communication skills, a proven analytical skillset, and customer focus. You stay updated with the latest research and technology ideas and have a passion for utilizing innovative ways to solve problems. You are a good storyteller and able to articulate the intricacies of your models and explain your results clearly to stakeholders. In addition, you have industry knowledge of the retail space, with a keen interest in keeping up to date on the latest happenings in this space. Your Qualifications Bachelors with 10 years /Masters 8 years /Ph.D. in Comp Science / Statistics / Mathematics / Quantitative discipline with 5 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics