Data Scientist

We are seeking a highly skilled and motivated Data Scientist to join us on a contract basis. This is an exciting opportunity to contribute to Demand Forecast & Replenishment, Price Optimization, ML and AI Implementation, Learning Solutions, Warehouse Management, Supply Chain Planning, Category Management, Order Management and leverage your expertise to drive data-informed decisions. You will work closely with various stakeholders to analyze complex datasets, develop predictive models, and provide actionable insights.

Responsibilities:

• Collect, clean, and preprocess large and diverse datasets.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Develop and implement machine learning models for tasks such as classification, regression, clustering, and time series forecasting etc.
• Evaluate model performance using appropriate metrics and iterate to improve accuracy and reliability.
• Communicate findings and insights effectively through clear visualizations and presentations to both technical and non-technical audiences.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Stay up to date with the latest advancements in data science, machine learning, and related technologies.
• Document methodologies, code, and results thoroughly.
• Contribute to the development and improvement of our data science infrastructure and best practices.

Requirements:

• Deep understanding of data science principles and methodologies. A Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related quantitative field is a plus, but equivalent in-depth knowledge and practical experience will also be considered.
• Proven experience (typically 10+ years) working as a Data Scientist or in a similar role.
• Strong proficiency in programming languages such as Python and R.
• Experience with relevant data science libraries and frameworks (e.g., statsmodels, scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Solid understanding of statistical modeling, machine learning algorithms, and their underlying principles.
• Experience with database systems and SQL.
• Excellent data visualization skills using tools such as Matplotlib, Seaborn, PowerBi or Tableau.
• Strong analytical and problem-solving abilities with a keen attention to detail.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly and concisely.
• Ability to work independently and collaboratively within a team environment.

Preferred Qualifications:

• Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
• Familiarity with big data technologies (e.g., Spark, Hadoop).
• Experience in JDA or Blue Yonder tools.
• Experience with deploying and monitoring machine learning models in production.