201 to 225 of 1,841 R Jobs

systems. Personnel should have strong data manipulation and problem-solving skills. Must have strong technical skills in areas such as statistics, programming languages like R or Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation. Have good communication skills and problem-solving ability. Security Clearance Active Secret More ❯

/Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real client use cases. Proficient in one of the deep learning stacks such as PyTorch or Tensorflow. Working knowledge of parallelisation More ❯

and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R, or Spark to extract insights from data. Experience with Data Bricks/Data QI and SQL for accessing and processing data (PostgreSQL preferred but general More ❯

ensuring that data-driven decisions are well-informed. Your Profile Proficiency in data analysis tools and software such as Excel, SQL, or Python/R for data manipulation and analysis. Familiarity with data visualization tools (e.g., Tableau, Power BI) to create reports and dashboards. Basic understanding of statistical concepts and More ❯

least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL). Modelling & Statistical Analysis experience, ideally customer related. Coding skills in at least one of Python, R, Scala, C, Java or JS. Track record of using data manipulation and machine learning libraries in one or more programming languages. Keen interest in some More ❯

at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and machine learning libraries in one or more programming languages. Keen interest in some More ❯

at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and machine learning libraries in one or more programming languages. Keen interest in some More ❯

techniques, and Activity Based Intelligence (ABI), with a proven track record of implementing and executing advanced analytic methodologies. • Proficiency regarding programming such as Python, R, Visual Basic, and experience in scripting for data manipulation and automation of workflows, showcasing the ability to leverage technology to enhance analytical capabilities. • Experience in More ❯

and written communication skills Experience working with real-world data sets and building scalable models from big data Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. More ❯

Masters Degree + 5 years of experience, or PhD + 2 years of experience Required Skills: Programming experience with data analysis software such as R, Python, SAS, or MATLAB. Develop experiments to collect data or models to simulate data when required data are unavailable. Develop feature vectors for input into More ❯

GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture More ❯

GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture More ❯

leadership roles. Experience driving enterprise-wide data transformations within global, customer-focused businesses. Strong technical background across analytics tools and languages (e.g., SQL, Python, R, Tableau, Power BI). Proven success in working with cross-functional stakeholders to deliver business outcomes through data. Strategic thinker and ability to shape long More ❯

leadership roles. Experience driving enterprise-wide data transformations within global, customer-focused businesses. Strong technical background across analytics tools and languages (e.g., SQL, Python, R, Tableau, Power BI). Proven success in working with cross-functional stakeholders to deliver business outcomes through data. Strategic thinker and ability to shape long More ❯

or equivalent industry experience, preferably in a quantitative field Desirable: Experience with ECB onboarding Exposure to Power BI, Tableau, SharePoint Familiarity with SQL, Python, R , and data engineering workflows Insight into emerging trends in data management and regulatory requirements Previous work within regulated financial frameworks The Challenge Data governance is More ❯

NLP), computer vision (CV), and deep learning/deep neural networks. Experience in handling imperfection in data. Experience with statistical programming languages such as R, SQL, and Python. Experience with data visualization tools such as Tableau. Experience in documenting data science work, participating in peer reviews and adhering to data More ❯

or equivalent industry experience, preferably in a quantitative field Desirable: Experience with ECB onboarding Exposure to Power BI, Tableau, SharePoint Familiarity with SQL, Python, R , and data engineering workflows Insight into emerging trends in data management and regulatory requirements Previous work within regulated financial frameworks The Challenge Data governance is More ❯

data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED More ❯

of Data Warehouse/Data Lake architectures and technologies. Strong working knowledge of a language for data analysis and scripting, such as Python, Pyspark, R, Java, or Scala. Experience with any of the following would be desirable but not essential; Microsoft's Fabric data platform, Experience with ADF such as More ❯

in biological sciences, preferably immunology or virology Master’s degree or equivalent experience in bioinformatics/computational biology Proficiency in Python and/or R for biological data analysis, statistical modelling, and data visualisation Communication of complex information to both technical and non-specialist audiences Enthusiastic attitude and eagerness to More ❯

in biological sciences, preferably immunology or virology Master’s degree or equivalent experience in bioinformatics/computational biology Proficiency in Python and/or R for biological data analysis, statistical modelling, and data visualisation Communication of complex information to both technical and non-specialist audiences Enthusiastic attitude and eagerness to More ❯

experience using the spaCy NLP framework and BERT. Knowledge of database design as well as strong experience with SQL queries is desirable. Familiarity with R and other common languages and tools would be beneficial. Proficiency in stakeholder management and an effective, persuasive communication style to explain technical subjects to non More ❯

years experience with building dashboards and reports in a BI tool Expert level SQL skills with knowledge of at least one programming language (Python, R, ect.) Demonstrated positive collaboration skills with key stakeholders and system users to deliver robust systems and compelling results Experience with AWS (Redshift, S3, Glue, Managed More ❯

with related technologies (e.g., Jira). Ability, openness, and eagerness to learn. Skills: Data Analytics Data Science Data Visualization GitLab Jupyter Notebooks Python and R Studio Full-Time Employee Compensation M9 Solutions' pay range for this position is a general guideline only and not a guarantee of compensation or salary. More ❯

in delivery of complex, advanced analytics and/or data science solutions. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure More ❯