Data Scientist

About the Role

We are seeking a highly motivated and skilled Data Scientist to join our team in the retail industry. The ideal candidate has at least 2 years of experience in data science, with expertise in data analysis, predictive modeling, and machine learning. Exposure to MLOps, feature engineering, and data engineering workflows will be considered a plus.

Responsibilities

• Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges
• Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization
• Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions
• Present insights and findings through visualizations and dashboards to inform decision-making
• Stay updated on the latest tools and techniques in data science and retail analytics
• Optional — Feature Engineering: engineer and optimize features to improve machine learning model performance and automate feature extraction pipelines for scalable workflows
• Optional — MLOps: contribute to the deployment, monitoring, and retraining of machine learning models in production environments
• Optional — Data Engineering: assist in designing and maintaining data pipelines and ensuring data quality

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• At least 2 years of experience in data science or a related field
• Proficiency in Python for data analysis and machine learning
• Strong SQL skills for managing and querying large datasets
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib)
• Strong problem-solving, communication, and teamwork abilities

Benefits

• Clear focus
• Diverse Workplace (Our members are from around the world!)
• Non-hierarchical and agile environment
• Growth opportunity and career path