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 Responsibilities (if Experienced)

• Engineer and optimize features to improve machine learning model performance and automate feature extraction pipelines for scalable workflows.
• Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.
• 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.
• Strong problem-solving, communication, and teamwork abilities.

Technical Skills

• 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).

Benefits

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