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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
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5 or more years of experience executing data science projects involving advanced techniques (such as NLP, Generative AI, statistical analysis, predictive modeling, financial forecasting, data visualization, and machine learning) from beginning to end.
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Hands-on Experience in Big Data and cloud technologies tools, i.e. Hadoop, Hive, Iceberg, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. Experience with data science packages such as skit-learn, SciPy etc., and Machine Learning frameworks such as TensorFlow, Keras and Torch or LLMs.
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Deep experience in leading data science, machine learning, search or data engineering teams that is able to separate the hype in the artificial intelligence space from the reality of delivering production ready data systems.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Hands-on Experience in Big Data tools, using Hadoop, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. 7+ years of experience in data engineering, business intelligence and data science.
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Familiarity & knowledge: Apache Spark, Kubernetes, Kafka, SIMP Project, Ansible, Docker, Global Information Tracker, Red Hat Enterprise Linux Suricata, Zeek, Kibana, Logstash, Elastic Search, Neo4J, PostgreSQL, Amazon Web Services Cloud & Nifi.
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Experience working with big data systems (Spark, EMR, Kafka, S3, Airflow) and programming languages (Java, Scala, or Python). Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, and sequence-based models.
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Experience with Big Data Frameworks, such as hadoop, spark, flink, etc.
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Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.) Ph. D. degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field.
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