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- Data Analysis: Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges.
- Model Development: Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization.
- Collaboration: Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions.
- Visualization and Communication: Present insights and findings through visualizations and dashboards to inform decision-making.
- Innovation: Stay updated on the latest tools and techniques in data science and retail analytics.
Optional Responsibilities (if experienced):
- Feature Engineering:
- Engineer and optimize features to improve machine learning model performance.
- Automate feature extraction pipelines for scalable workflows.
- MLOps:
- Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.
- Data Engineering:
- Assist in designing and maintaining data pipelines and ensuring data quality.
Requirements
- Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Experience: At least 2 years of experience in data science or a related field.
- 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).
- Soft Skills: Strong problem-solving, communication, and teamwork abilities.
Preferred (Optional) Qualifications:
- Exposure to MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).
- Familiarity with data engineering tools (e.g., Apache Spark, Kafka, Airflow).
- Experience in building real-time analytics or personalization systems.
Benefits
- Clear focus.
- Diverse Workplace (Our members are from around the world!)
- Non-hierarchical and agile environment
- Growth opportunity and career path
Skills Required
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or 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 (scikit-learn, TensorFlow, PyTorch).
- Knowledge of data visualization tools (Tableau, Power BI, matplotlib).
- Strong problem-solving, communication, and teamwork abilities.
- Exposure to MLOps tools (MLflow, Kubeflow, AWS SageMaker).
- Familiarity with data engineering tools (Apache Spark, Kafka, Airflow).
- Experience in feature engineering and automating feature extraction pipelines.
- Experience building real-time analytics or personalization systems.
What We Do
Makro PRO is an exciting new digital venture by the iconic Makro. Our proud purpose is to build a technology platform that will help make business possible for restaurant owners, hotels, and independent retailers, and open the door for sellers. Makro PRO brings together the best talent across multi-nationals to transform the B2B marketplace ecosystem. We welcome bold, energetic, and thoughtful people who share our belief in collaboration, diversity, excellence, and putting customers at the heart of our work.
