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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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5 years of relevant experience, which can include a combination of management consulting, commercial analytics, and/or real-world evidence generation within the pharmaceutical industry; using common analytic toolsets (e.g., R, Python, SQL.
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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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O 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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Knowledge of SQL, VBA, SAS, R, Python, ETL tools or Business Rules Engines is a plus, as is fluency in cloud databases and workflow scripts (e.g. Jupyter Notebooks) · Background experience in Tableau, Power BI, ThoughtSpot, Spotfire, COGNOS, or other data visualization software would be advantageous.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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Form strong relationships with internal teams, including Data Engineering, Product, Data Science, Analytics, and Commercial stakeholders to support the build, adoption, and impact of the Measurement Playbook.
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Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python.
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SAS, R, Python, SPSS, MapR, Flume, Hue, Impala, predictive analytics, Tableau, Spotfire, and Java. Practical experience using latest technologies for data ingestion, storage, mining/warehousing, big data analytics, manipulation, and visualization.
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Background with data visualization tools such as Power BI, Tableau, Datorama, Domo. Experience working with Clickstream web analytics tools such as Adobe Analytics, Google Analytics, Mixpanel, HEAP or Amplitude.
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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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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Proficiency in analytical tools: modeling and reporting in Excel/Access and SQL Proficiency in data visualization tools: R, Python, Tableau, or similar. Act as a subject matter expert in marketing measurement science, specifically MMM + MTA unified-model measurement and media KPIs. Remain aware of data inconsistencies and work with IT, Tapestry Data Labs, Tapestry COE and/or the brand’s Agency of Record to ensure data efficacy & quality.
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T h e Developer w ill w o rk cl o s ely wi t h proje c t m a n a g ers, I T s t af f , p r o g ram s t aff a n d o t h er s t akeh o l d e rs t o defi n e a n d d e v e l o p r eq u ire m ents f o r the enterprise data warehouse.
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data science visualization r python jobs Title: product analyst in New York, NY
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