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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Programming Language: Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting. Use programming languages including but not limited to Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Hands on experience with programming for extract transform operations and data analysis using languages such as, but not limited to R, Python, SQL, and Excel VBA. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Shiny, Tableau, PowerBI, and front-end technologies and languages.
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Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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Automation experience is a plus in Java, Python, R, Selenium, Maven, IntelliJ Idea (Preferred) Experience with Data warehouse, Data lake MS Azure (Preferred.
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Strong digital marketing analytics skills, such as but not limited to web analytics, contextual advertising, email, AI/ML, surveys, big data, data-driven decision making, customer data management, search engine optimization (SEO), search engine marketing (SEM.
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Familiarity with programming languages is a plus (R, Python, dbt, SQL)Knowledge of statistical techniques (multivariate regression, optimization, clustering, forecasting)Experience creating data visualizations in support of storytellingLocation: Ideal is a candidate with proximity to our NYC or LA office.
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Familiarity with programming languages is a plus (R, Python, dbt, SQL) The agency looks to the Analytics group for direction, strategic thinking, and prowess in data science.
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Experience using the Python data science/ML stack in a collaborative development environment using version control tools (git). Academic training in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, Bioscience, or Engineering.
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You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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The ideal candidate will have a strong background in data science, modeling, Python, SQL, and experience with Nielsen or IRI data. Knowledge of data visualization tools (Power BI) is a plus.
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We have data assets in all of our segments (Corporate, Petcare, MWC, Food, Multi Segment) across functions and divisions in R&D, that we will connect and enhance to build a rich understanding to answer specific questions which we as a business have.
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Knowledge of data/analytical tools – Strong experience with SQL; experience using data visualization tools like Tableau or Microstrategy; knowledge of statistics and modeling; experience with Python, R, Jupyter, other analytics/data science tools.
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big data science a plus r python jobs Company: Endeavor in Jersey City, NJ
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