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Thorough knowledge of relevant programming languages (primarily Python, SQL), object-oriented programming principles, Big Data tools and Data Mining/Warehousing Programs (preferably Google Cloud BigQuery.
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Desired Background PhD in Computer Science or related field 4-8 years of professional experience with relevant experience building and designing distributed data systems Knowledge of statistics, data science, AI/machine learning, big data management Strong proficiency in Python and an additional language (e.g., C.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Jenkins; NodeJS; Spring; Java; Python; React; Shell Scripting; SQL; REST; Maven; Apache Ant; JSON; Apache Zookeeper; AWS Cloud Services; Oracle; Apache Spark; Splunk; GIT; Junit; Unit Testing; and User Acceptance Testing.
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Create data science assets and automations using a combination of tools and languages including SQL, Python, R, Alteryx, Tableau, Microsoft Azure (Fabric, ML Studio, ADF, Synapse, PowerBI, etc.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Comfortable using one or more programming languages (such as R, Python, or SQL) within a data cloud environment or with a granular data set for data mining, advanced analysis, modeling, or other use cases.
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Bachelor’s degree in Quantitative Finance, Economics, Mathematics, Engineering, Data Science, Statistics or related field. Exposure to at least one high-level programing language (R, Python, etc.
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5+ years of experience working in Python and on Python applications, including Python dependency management, packaging and publishing tools as well as Python libraries commonly used in data science and predictive analytics.
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5+ years of experience working in Python and on Python applications (not Jupyter notebooks or similar), including Python dependency management, packaging and publishing tools as well as Python libraries commonly used in data science and predictive analytics.
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Data Engineering is a highly functional distributed team, supporting data science and product teams for Mailchimp. You have a Bachelor's Degree in Computer Science, Machine Learning, Data Science, or equivalent experience.
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Join us as a Data Science Senior Manager, Generative AI to play your part in that transformation. Excellent project management skills with a proven track record delivering at speed and scale impactful data science solutions on time and within budget.
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Python, Data science, Machine learning, Data, Sql, Erpss, Predictive modelling, Algorithm, Statistics, Daiss, Data analysis, Predictive analytics, Artificial intelligence, Azure, Modeling, Cloud.
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