1 to 25 of 1,599 R Jobs

of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization tools (Tableau, Power BI, etc.) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

sets from multiple sources for analysis. • Strong proficiency in analytical tools and languages such as: • SQL (T-SQL, PL/SQL) • Excel (advanced functions, pivot tables, etc.) • Python or R (for statistical analysis or data wrangling) • Experience with data visualization and dashboarding tools, such as: • Power BI, Tableau, or Qlik • Ability to translate complex analytical insights into clear, actionable recommendations More ❯

Strong proficiency in Excel for data analysis and reporting Experience with SQL for data extraction and manipulation Knowledge of at least one programming language used for data analysis (Python, R, or Java) Proficiency with data visualization platforms (Tableau, Power BI, or D3.js) Understanding of statistical methods and predictive modeling techniques Experience with data cleaning, transformation, and preparation Ability to translate More ❯

3+ years prior data scientist experience. Proven experience in data science, machine learning, or predictive analytics roles. Proficiency in programming languages commonly used in data science (e.g., SQL, Python, R, etc.). Ability to work in a team-oriented environment for a matrixed organization. Strong knowledge and experience with data reporting tools, including Microsoft PowerBI, SSRS, Tableau, etc. Strong knowledge More ❯

Notebooks, Visio, SharePoint, Confluence, or other visualization/documentation tools. Experience working with APIs, including integration and data extraction. Knowledge of version control systems such as GitHub. Proficiency in R programming is a plus. Bachelor's degree in Business Analytics, Statistics, Data Analytics, Computer Science, Information Systems, or a related field OR 4+ years of relevant data analysis experience in More ❯

demonstrate understanding of different statistical methods and approaches Proven track record of leading analytic projects Intermediate level of proficiency in SQL, and at least one scripting language such as R, or Python Intermediate level of proficiency with Data visualization/Dashboard tools (e.g., Power BI) Preferred Qualifications Master's Degree (or higher) in relevant field (data science, analytics, mathematics, economics More ❯

demonstrate understanding of different statistical methods and approaches Proven track record of leading analytic projects Intermediate level of proficiency in SQL, and at least one scripting language such as R, or Python Intermediate level of proficiency with Data visualization/Dashboard tools (e.g., Power BI) Preferred Qualifications Master's Degree (or higher) in relevant field (data science, analytics, mathematics, economics More ❯

to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity with data management platforms, especially Palantir ecosystem, is a plus. Proficiency in SQL and experience with Python, R or TypeScript is desirable. Excellent communication skills, both written and verbal, with the ability to present complex information clearly. Ability to work independently as well as collaboratively in a team More ❯

Data Modeling and Data Solution Development 1+ year performing queue modeling and survival analysis Demonstrated experience manipulating structured and unstructured data for analysis Strong programming skills in SQL, Python, R, Scala, Java, or similar language Experience using Python to manipulate large data sets Experience with DevSecOps, as it applies to data science Demonstrated experience with TensorFlow, Keras, or other Deep More ❯

to implement models and monitor outcomes. KNOWLEDGE/SKILLS/ABILITIES Strong problem-solving skills with an emphasis on mission-focused data science. Proficiency in statistical computer languages (Python, R, SQL) for data manipulation and analysis. Experience working with and creating data architectures, including semantic/ontology-driven frameworks. Knowledge of machine learning techniques (clustering, regression, neural networks, decision trees More ❯

requiring experience with statistical models with an understanding of different statistical methods and approaches Expert level of proficiency in SQL, and at least one scripting language such as SAS, R, or Python Advanced level of proficiency with Data Visualisation/Dashboard tools (e.g., Power BI) Advanced experience in Machine Learning or AI model development and deployment Experience working within a More ❯

leadership on BI modernization strategy, including documentation standards, design systems, metadata management, and visual governance Technologies you'll use: BI tools: Power BI, Tableau, Qlik, Looker SQL, Python or R for data exploration and automation Cloud services: Azure Synapse, Azure Data Factory, Databricks, AWS Redshift, AWS Glue Collaboration tools: SharePoint, Jira, Confluence, Mural/Miro MS Office tools: Excel, PowerPoint More ❯

and engineering stakeholders Work with Project Manager, Data/Solution Architect and Development team to plan and manage Agile Sprints for product delivery. Technologies you'll use: SQL, Python, R, Talend, SAS Cloud Native solutions such as AWS, Azure BI tools like Tableau, PowerBI MS Excel, MS Visio, MS PowerPoint Mural/Miro/Whiteboard Confluence/Jira/SharePoint More ❯

non-negotiable. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field. Proven experience as a Data Scientist or in a similar role. Proficiency in Python, R, or SQL. Strong background in statistical modeling, machine learning, and data wrangling. Excellent problem-solving skills with the ability to work both independently and in teams. Strong communication skills, including More ❯

similar role. Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, or similar). Familiarity with statistical analysis and data modeling techniques. Experience with Python or R for data manipulation and analysis (preferred). Excellent problem-solving skills with attention to detail. Strong communication and presentation skills to explain complex data in simple terms. Preferred Qualifications Experience More ❯

data handling practices. QUALIFICATIONS: Minimum Qualifications include: 10+ years of experience in data science, data analysis, or systems engineering. Proven experience with Census Bureau Data. Strong skills in Python, R, SQL, and statistical modeling. Proficiency with Tableau, Power BI, or other visualization platforms. Bachelor's degree in Statistics, Computer Science, Data Science, or related field. Ability to obtain an OPM More ❯

experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding and working knowledge of capacity & supply chain planning Working knowledge of programming/scripting languages (Python, R, or similar More ❯

experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding and working knowledge of capacity & supply chain planning Working knowledge of programming/scripting languages (Python, R, or similar More ❯

quantitative discipline 3+ years experience in data or business analytics or a Masters degree High level of competency with data science/analysis coding languages like SQL, Python, or R Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, or d3.js Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. More ❯

Job Number: R Data Engineer The Opportunity: Do you want to work at the forefront of advanced technology and solve complex data challenges? You know that data yields pivotal insights when it's gathered from disparate sources and organized. As a data engineer, you have the chance to develop and deploy the pipelines and platforms that make this data meaningful. More ❯

certifications in analytics tools and technology Demonstrated experience with non-SAP analytics platforms, and cloud-based analytics solutions, including data integration techniques Proficiency in programming languages such as Python, R, and/or SQL for data analysis, modeling and automation tasks What We Look For: We are looking for candidates who are: Innovative and agile , with a purpose-driven mindset More ❯

using data visualisation tools such as Power BI or Tableau. Experience with SQL and data management systems. Experience engaging with Sales, Marketing and Finance stakeholders. Familiarity with Python or R for data manipulation and modelling. Excellent problem-solving skills and attention to detail. A degree in a relevant field such as Mathematics, Statistics, or Computer Science. Ability to work collaboratively More ❯

using data visualisation tools such as Power BI or Tableau. Experience with SQL and data management systems. Experience engaging with Sales, Marketing and Finance stakeholders. Familiarity with Python or R for data manipulation and modelling. Excellent problem-solving skills and attention to detail. A degree in a relevant field such as Mathematics, Statistics, or Computer Science. Ability to work collaboratively More ❯

with law enforcement or federal investigative agencies. Certification in data analytics or visualization (e.g., Microsoft Power BI Data Analyst, Tableau Certified Data Analyst). Experience with SQL, Python, or R for advanced analytics. Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Familiarity with federal workforce challenges in IT/cybersecurity More ❯

layers. Qualifications A Bachelor's degree in Data Science, Computer Science, Statistics, or related field. Or, HS and 4 years of relevant experience. Demonstrated proficiency in Python (Pandas, NumPy), R, and SQL. Experience with visualization tools: Tableau, Power BI, Matplotlib, Seaborn. Solid understanding of statistical methods and hypothesis testing. Familiarity with AWS or other cloud platforms is a plus. Strong More ❯