Lead, Data Scientist

As a Data Scientist at our company, you will have the exciting opportunity to wield the mighty powers of numbers and machine learning like a superhero! Your mission will be to craft mind-blowing predictive models and algorithms that conquer complex business challenges and leave a global footprint of awesome impact. Role Overview: - Model Development: Design, develop, and implement predictive models and algorithms using advanced statistical techniques and machine learning frameworks. - Business Impact: Collaborate with stakeholders to understand business objectives, identify key metrics, and ensure model outcomes align with strategic goals and drive measurable impact. - Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy. - Collaboration: Work with cross-functional teams to integrate models into production systems and monitor performance. - Communication: Present findings to technical and non-technical audiences, providing actionable insights and recommendations to drive business strategy. - Innovation: Stay up to date with the latest trends in data science and machine learning to continuously enhance modeling practices and methodologies. Key Responsibilities: - Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Master's preferred. - 8+ years of experience in data science with a strong focus on model development and algorithm design in the retail domain such as Fashion or CPG. - Strong communication and requirement gathering skills from business and product teams. - Must have a deep understanding of Retail/CPG use cases such as customer segmentation, recommendations, demand forecasting, sentiment analysis, inventory optimization, promotion uplift modeling, campaign analysis, churn prediction, etc. - Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy). - Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and statistical analysis. Nice to Have: - Time series models (Prophet, XGBoost, LSTM for Azure ML). - Model performance tracking and retraining strategies using Azure ML. - Exposure to AI-based solutions in areas of Search, product meta-data generation, or discovery. Qualifications Required: - Strong problem-solving skills with a proactive approach to optimization. - Excellent communication skills and ability to collaborate across global teams and time zones. - Experience in designing and implementing Data Science best practices and frameworks. This is an exciting opportunity for a seasoned Data Scientist to join our dynamic Data Science squad and make a significant impact on our business through cutting-edge modeling and analytical solutions. As a Data Scientist at our company, you will have the exciting opportunity to wield the mighty powers of numbers and machine learning like a superhero! Your mission will be to craft mind-blowing predictive models and algorithms that conquer complex business challenges and leave a global footprint of awesome impact. Role Overview: - Model Development: Design, develop, and implement predictive models and algorithms using advanced statistical techniques and machine learning frameworks. - Business Impact: Collaborate with stakeholders to understand business objectives, identify key metrics, and ensure model outcomes align with strategic goals and drive measurable impact. - Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy. - Collaboration: Work with cross-functional teams to integrate models into production systems and monitor performance. - Communication: Present findings to technical and non-technical audiences, providing actionable insights and recommendations to drive business strategy. - Innovation: Stay up to date with the latest trends in data science and machine learning to continuously enhance modeling practices and methodologies. Key Responsibilities: - Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Master's preferred. - 8+ years of experience in data science with a strong focus on model development and algorithm design in the retail domain such as Fashion or CPG. - Strong communication and requirement gathering skills from business and product teams. - Must have a deep understanding of Retail/CPG use cases such as customer segmentation, recommendations, demand forecasting, sentiment analysis, inventory optimization, promotion uplift modeling, campaign analysis, churn prediction, etc. - Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy). - Expertise in machine learning frameworks (e.g.,