26 to 50 of 1,809 Remote R Jobs

3+ years of experience in data science or related field Strong knowledge of machine learning algorithms and statistical modeling Experience with programming languages (Python, R, SQL) Strong understanding of data visualization tools (Tableau, Power BI) Experience with big data technologies (Hadoop, Spark) Strong understanding of data mining techniques and data More ❯

. Key Requirements: Proven experience (5+ years) in a data science role, preferably in retail or e-commerce sectors. Strong proficiency in Python or R, SQL, and data visualization tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine More ❯

for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency in programming languages such as Python , R or Scala. Experience with infrastructure technologies (e.g., Snowflake). SQL Server 2016+ with Excellent T-SQL skills Understanding the Relational Database Data Modelling and Data More ❯

for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency in programming languages such as Python , R or Scala. Experience with infrastructure technologies (e.g., Snowflake). SQL Server 2016+ with Excellent T-SQL skills Understanding the Relational Database Data Modelling and Data More ❯

to communicate findings to stakeholders Mentor team members and contribute to building a data-driven culture Essential Requirements & Technical Skills Proficiency in Python or R for data analysis and machine learning Strong SQL skills for data extraction, transformation, and analysis Experience with Azure cloud platform and services Hands-on experience More ❯

Working experience in an analytical role, preferably within the gambling or gaming industry. Proficient in SQL and one or more of the following: Python, R, SAS. Knowledge of Data visualisation software, Power BI preferable. Proven ability to analyse large sets and translate them into insights and actionable business recommendations. Strong More ❯

Skills/Experience: Experience in data science or machine learning roles, preferably in a fast-paced tech or enterprise environment. Proficient in Python or R, SQL, and common machine learning frameworks (e.g., scikit-learn, TensorFlow, XGBoost, PyTorch). Strong foundation in statistics, probability, and hypothesis testing. Experience with cloud platforms More ❯

management processes in insurance Advanced SQL skills for querying complex databases and joining disparate data sources Expertise in data manipulation and analysis using Python, R, or similar analytical tools Experience with data visualization tools (e.g., Tableau, Power BI, Looker) Experience with dashboard creation for operational metrics tracking Strong communication and More ❯

management processes in insurance Advanced SQL skills for querying complex databases and joining disparate data sources Expertise in data manipulation and analysis using Python, R, or similar analytical tools Experience with data visualization tools (e.g., Tableau, Power BI, Looker) Experience with dashboard creation for operational metrics tracking Strong communication and More ❯

Developer Apply remote type Fully Remote or Hybrid if Local locations Tewkesbury, GBR time type Full time posted on Posted Yesterday job requisition id R-25-12537 Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where More ❯

opportunities Career progression in a supportive environment Skills and Experience Proven experience in data science, including machine learning and statistical analysis. Proficiency in Python, R, or similar programming languages. Strong SQL skills for data manipulation and querying. Experience with data visualisation tools such as Tableau or Power BI. Experience with More ❯

and tools. You have knowledge of database management systems (e.g., BigQuery, MySQL). You have experience working with programming languages such as Python or R for data analysis and manipulation. You have experience in data visualisation tools such as Tableau, Looker, Power BI, or similar, and you have knowledge of More ❯

with high accuracy and reliability. Experience querying large datasets, SQL databases, and managing data in Microsoft Dynamics 365 or Dataverse. Proficiency in Python and R for data manipulation and analysis. Experience with Power BI or Tableau for visualizations. Awareness of machine learning algorithms and AI tools. Knowledge of data cleansing More ❯

Data Science, Mathematics, Finance, or Business with a preferred focus on Econometrics Familiar with data analysis/visualisation tools such as SAS, Python, SQL, R, Stata, and Power BI Proficient in statistical analysis/data science techniques: particularly time series modelling, regression analysis, scenario analysis, etc. Can formulate a hypothesis More ❯

to the IRC Way – IRC Global Standards for Professional Conduct. PERSON SPECIFICATION Skills and Competencies: 3+ years in data analytics. Experience with SQL, Python, R, Tableau, Power BI. Proven ability to manage complex analytics projects. Strong analytical and problem-solving skills. Excellent data visualization and storytelling abilities. Ability to work More ❯

focus on Power Apps (Canvas and Model-Driven, use of Dataverse) and/or Power Automate. Copilot Studio experience also desirable. Programming language (Python, R or SQL) Hands-on experience with tools such as Microsoft Fabric, Databricks, or Snowflake Consulting Experience: Current experience in a major consulting firm and/ More ❯

focus on Power Apps (Canvas and Model-Driven, use of Dataverse) and/or Power Automate. Copilot Studio experience also desirable. Programming language (Python, R or SQL) Hands-on experience with tools such as Microsoft Fabric, Databricks, or Snowflake Consulting Experience: Current experience in a major consulting firm and/ More ❯

one or more of the following areas would be advantageous but not essential: Experience in languages used for querying and manipulating data e.g., SQL, R or Python. Experience in using NLP, semantic models and sentiment analysis. Experience delivering an outstanding UX, leaning on visualisation best practices. An awareness of data More ❯

one or more of the following areas would be advantageous but not essential: Experience in languages used for querying and manipulating data e.g., SQL, R or Python. Experience in using NLP, semantic models and sentiment analysis. Experience delivering an outstanding UX, leaning on visualisation best practices. An awareness of data More ❯

in marketing, including segmentation (e.g. cluster analysis), behaviour prediction (e.g. propensity modelling), churn analysis, A/B testing, and data visualisation. Strong skills in R (R Studio) or Python for statistical analysis in a commercial context. Experience with data analytics tools and platforms such as Azure Synapse Analytics, Databricks, Salesforce More ❯

in marketing, including segmentation (e.g. cluster analysis), behaviour prediction (e.g. propensity modelling), churn analysis, A/B testing, and data visualisation. Strong skills in R (R Studio) or Python for statistical analysis in a commercial context. Experience with data analytics tools and platforms such as Azure Synapse Analytics, Databricks, Salesforce More ❯

management, agile, automation, data visualization Core Technical Skills Jira, Python, SQL, Cloud tech, Azure DevOps, CI/CD, Ansible Desirable Skills Experience with Python, R, IBM Watson, Tableau, Power BI, DevOps tools, Cloud providers Additional Details Seniority Level: Mid-Senior Employment Type: Full-time Job Function: Research, Analysis, IT Industry More ❯

degree is preferred. Proven experience as a Data Analyst or similar role, with expertise in data manipulation, analysis, and visualisation. Proficiency in SQL, Python, R, or other programming languages for data analysis and manipulation. Strong analytical skills with the ability to interpret complex datasets and extract actionable insights. Experience with More ❯

of the following Proven experience in AI and machine learning, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as More ❯

in data analysis, ideally within energy, sustainability, or related fields. Hands-on experience with performance analysis, forecasting, and optimization. Technical Skills: Proficiency in Python, R, or MATLAB for data analysis. Experience with visualization tools like Power BI or Tableau. Strong knowledge of SCADA systems and data management software. Familiarity with More ❯