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makro pro

Data Scientist

2-4 Years
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  • Posted 20 hours ago
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Job Description

Overview:

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

More Info

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About Company

Job ID: 148688077

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