Job Description: Data Scientist
Position Overview: We are seeking a highly skilled and experienced Data Scientist to join our team. The candidate should have 3-5 years of proven experience in data science with a strong focus on time series forecasting, generative artificial intelligence (Gen AI), classical machine learning (ML), deep learning, and statistics. The candidate should possess a deep understanding of data analysis techniques and methodologies, as well as hands-on experience with Databricks and the Azure platform. Previous experience in retail, particularly fashion retail, is highly desirable.
Key Responsibilities:
• Utilize advanced statistical, machine learning, and time-series forecasting techniques to develop and implement forecasting models that predict future trends, sales, and customer behaviour in the retail industry.
• Leverage Generative AI (Gen AI) techniques and large language models (LLMs) to design and develop innovative business solutions.
• Develop, deploy, and optimize Machine Learning (ML), Deep Learning (DL), and Generative AI models using techniques such as regression, decision trees, random forests, ensemble methods, and neural networks.
• Apply deep learning algorithms to extract meaningful insights from unstructured data sources, including images, text, and audio.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable and actionable data science solutions.
• Conduct exploratory data analysis (EDA), feature engineering, model development, and validation to ensure the accuracy, robustness, and reliability of predictive models.
• Work closely with stakeholders to communicate findings, insights, and recommendations in a clear, concise, and business-oriented manner.
Qualifications:
· Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field.
· 3-5 years of experience in data science, with a focus on forecasting, ML, deep learning, and statistics.
· Proficiency in programming languages such as Python, SQL, and PySpark.
· Hands-on experience with python libraries (forecasting, classification, clustering, optimization, NLP) data visualization tools (e.g., Matplotlib, Seaborn) for communicating complex ideas effectively.
· Proven history in successfully executing forecasting and gen AI projects.
· Strong understanding of cloud computing platforms, particularly Azure, and experience with Databricks for data processing and analysis.
· Excellent problem-solving skills and the ability to work independently or as part of a team in a fast-paced environment.
· Previous experience in the retail industry, especially fashion retail, is preferred.
