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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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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.
$156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge or coursework in data science and knowledge of data science languages such as R, SQL, and Python. Bachelor's Degree (BS/BA), 1-2 years of experience in data science, data analytics, or paid media as an intern or full-time.
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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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Lead data collection from multiple digital media channels and integrate data with BigQuery, Supermetrics, and other ETL tools. You will be responsible for implementing, configuring, monitoring, and analyzing web analytics data for our clients’ websites and digital media activity.
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Solid understanding of visualization tools, SQL, Python, Google Analytics and Campaign Manager (DCM) preferred. Manage data ETL to analyze the state of our clients’ businesses across a variety of systems, channels and data sources (paid search, display media, website, social media, advertising campaigns, offline media, brand sales and brand equity.
$95,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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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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2+ years of experience with data gathering and analysis tools (e.g., SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx) and visualization tools (e.g., Qlik Sense, Tableau, Power BI.
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Hands-on experience with analytical tools of the trade, including but not limited to MySQL, Python, R, MatLab, and BigQuery. A proven track record with 1-3 years in business intelligence, data engineering, or a similar role where data visualization isn’t just a task—it’s an art.
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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.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Basic programming skills relevant to metabolomics & lipidomics data analysis (i.e. Python, R, etc.) Develop novel metabolomics & lipidomics sample preparation and data collection methods that further internal biomarker discovery effort.
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Expertise in the ecosystems of digital media technology including: DSPs/trading desks, DMPs/data aggregators (ideally Neustar), verification tools, tag management systems, site analytics platforms & search engine management platforms.
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5 – 8 years of work experience in data management, data visualization and data analytics preferably in a marketing and/or media agency. Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data science visualization r python digital media jobs in Hoboken, NJ
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