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Pleasanton

    Senior Data Engineer - Pleasanton, United States - Bayone

    Bayone
    Bayone Pleasanton, United States

    2 weeks ago

    Default job background
    Description
    Responsibilities:
    1. Identify, extract/scrape, verify suitable data from different sources.
    2. Design and conduct exploratory data analysis (for example, statistical analysis/inferences/segmentation, anomaly detection, assumption testing, important factors/relationships detection).
    3. Define A/B tests, analyze A/B test results and statistical significance in A/B testing
    4. Formulate business problems with tunable parameters, present models or data results to different groups of stakeholders with data visualizations.
    5. Identify model evaluation metrics.
    6. Interprets data to identify trends and significant relationships that can be applied to future data sets.
    7. Develop algorithms that personalize/customize users' shopping experience.
    8. Lead and work with data scientists/engineers and platform engineers to develop search related features using advanced machine learning techniques.
    Qualifications:
    1. BA/BS Degree required (MS or PhD preferred).
    2. 5+ years of hands-on industry experience in data science. Search or eCommerce experience preferred.
    3. Strong computer science fundamentals with proven problem solving skills.
    4. Experience in eCommerce product search, including its components, algorithms, and evaluation metrics. Expertise in at least one sub area.
    5. Deep understanding of ecommerce ClickStream data including query, catalog data, and customer satisfaction data
    6. Solid knowledge of machine learning and deep learning concepts
    7. Experience working with large data sets in big data environments
    8. Proficiency in Python/Spark, TensorFlow, SQL, Java, Kubeflow, Jupyter, GCP etc.
    9. Experience working with Hadoop and streaming data processing
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