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Your skills include experience with QlikView, Adobe Analytics, Google 360, Python, R Programming, Scala, Apache Spark, and AWS Redshift. Your skills include experience with QlikView, Adobe Analytics, Google 360, Python, R Programming, Scala, Apache Spark, and AWS Redshift.
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SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake. Data mining/programming tools (e.g. SAS, SQL, R, Python) Mandatory Skills Advanced knowledge one of language: Java, Scala, Python, C.
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Typically, Minimum 4 Years Relevant Exp Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, D3, or JavaScript.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. 5+ years of experience using AI/ML , data science software (e.g., Python-based tools) Proficiency in programming languages such as Python for data manipulation, analysis, and model development.
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B. Python, R, TensorFlow, SciKit-Learn, SPSS), Natural Language Processing oder LLMs. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing.
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DE conducting statistical analysis using Python, R or SAS, and using Python (Pandas, Numpy, Selenium, APIs), Alteryx to automate manual data workflows. DE developing KPIs, and maintaining ETL processes in Looker, Python and Alteryx.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Proficiency in one or multiple literate statistical programming languages like R, Python, or Scala. Our machine learning team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
$94,400 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Create, Modify and deploying code libraries, accelerators (GitHub) programming languages such as Python, R. Build Rapid prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification, tracking, 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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Proficiency in scripting languages such as R, Python, SQL, or Matlab. Write and implement Python scripts to automate and customize workflows for a variety of tasks, including EVS and statistical analysis.
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Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply.
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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. Our analytics team is a growing team here at Mailchimp to support our strategic initiatives, business operations and revenue management as Mailchimp continues to evolve.
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Experience with Statistical analysis tools in Python and R as well as data science app development (R shiny/Streamlit). Stay updated on protein space and industry trends: Keep abreast of the latest developments in computational structural biology, protein engineering, and related fields.
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