1 to 25 of 1,758 R Jobs

and existing components for product improvement, cost reduction, and/or regulatory compliance 5. Participate in DFMEA with an emphasis on repeatability and reliability (R&R) statistical analysis. Qualifications: 1. Bachelor's degree in Engineering - mechanical, chemical, or electrical preferred. 2. 5+ years of experience in a product testing lab … environment, ideally with electro-mechanical products. 3. Proficiency in test stand automation (preferred). 4. Knowledge of DFMEA and gage R&R studies. 5. Deep understanding of data acquisition (DAQ) technology and methods (preferred). 6. Ability to use and code in MatLab or equivalent software for complex, customized data … analysis (preferred). 7. Experience in script generation in MatLab, Python, R, or equivalent software with emphasis on R&R statistics (preferred). 8. Excellent problem-solving skills and a keen eye for detail. 9. Passion for innovation and continuous improvement. Interested in hearing more? Easy Apply now by clicking More ❯

processes Create CAPP Folder Structure to Prepare TC Data (BoP) Identify and Create Documents as TC files for the Source of data received from R-R local Databases- DiMS (TI's- PA, SOP, Drawings, TV's), Coglas (Fixture & NC Setlist), EDM (NC Prog MAN/INT), OVIS (Transport/Packaging … and OP's Items Create/Clone TCH Items for Process and Operations, Revise to populate the required details Update MEOP Revision Master (German), R-R SAP Additional Info and R-R Std Time model forms Define Activity as per task Breakdown (Provided with Comm sheet , Mark-up sheet, Red More ❯

in data analytics, data visualization, and business intelligence. Extensive experience with ADVANA Jupiter and Databricks for advanced analytics and visualization. Proficiency in SQL, Python, R, or other data analysis languages. Hands-on experience with BI tools like Power BI, Tableau, or similar platforms. Solid understanding of data modeling, data integration More ❯

government contracting environment. Strong understanding of data warehousing concepts, data modeling techniques, and data mining principles. Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., Pandas, Scikit-learn, TensorFlow). Experience with data visualization tools such as Tableau or Power BI. Familiarity with More ❯

a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI, or similar to present complex data in a user More ❯

a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI, or similar to present complex data in a user More ❯

set objectives. Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI. Familiarity with programming languages like Python or R for data analysis. Experience with time-series databases and analytics platforms. Excellent analytical and problem-solving skills. Strong leadership and communication abilities. Ability to think More ❯

Science, Computer Science, Statistics, or related field Experience with law enforcement, homeland security, or government data analysis Proficiency in programming languages such as Python, R, or SQL Experience with data visualization tools (Tableau, Power BI, etc.) Knowledge of machine learning techniques and applications Background in big data technologies and cloud More ❯

in data analysis or a related field, preferably within a retail business environment. Strong proficiency in data analysis tools and software (e.g., SQL, Python, R, Excel) and visualization tools (e.g., Power BI, Tableau). Excellent quantitative and qualitative analytical skills with a solid attention to detail. Strong verbal and written More ❯

skills and attention to detail. • Excellent communication and collaboration skills • Experience with scripting in Tableau (e.g., automation; troubleshooting; integration, performance optimization) • Proficiency in Python, R, SQL, and other relevant programming languages. • Experience with data warehousing concepts and relational databases. • Experience with machine learning, predictive modeling, and data mining. • Ability to More ❯

quantitative field. 5+ years of experience in a BI or advanced analytics role, preferably in a client-facing environment. Expert-level proficiency in SQL, R or Python, and BI tools (e.g., Power BI, Tableau). Strong understanding of statistical concepts and their practical applications. Demonstrated experience in managing large-scale More ❯

adoption of AI-driven strategies across BIC operations. Identify opportunities for AI integration to enhance BIC research processes. Use advanced analytics tools (e.g., Python, R, SQL, Tableau, Power BI) to analyse, visualize, and interpret data. Support efforts to continuously innovate and improve analytical processes using ML, ensuring the delivery of More ❯

an actuarial, data science, or similar analytical role, within the non-life insurance sector. Technical Skills : Strong proficiency in programming languages such as Python, R, or SQL. Experience with statistical analysis, machine learning algorithms, and data manipulation techniques. Familiarity with actuarial methods and tools (e.g., pricing, reserving, financial forecasting). More ❯

as a Data Analyst or similar role, preferably in the IT industry. Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS. Strong analytical skills with the ability to manipulate and interpret complex datasets. Experience with data visualization tools such as Tableau, Power BI, or More ❯

schedules. Desired Experience: Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView). Database administrator certification such as AWS, Microsoft, Oracle, or MongoDB. Demonstrated experience More ❯

role with a strong focus on quality assurance of data and machine learning models. Strong experience with SQL and programming languages like Python or R for data analysis and pipeline development. Deep understanding of data modelling, data access, and data storage techniques. Familiarity with machine learning frameworks and data visualization More ❯

big data technologies. Requirements: Proven experience as a Data Scientist or similar role. Proficiency with Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and experience with relational databases. Familiarity with cloud platforms (e.g. More ❯

Analyst). Experience with other BI tools (e.g., Tableau, Qlik). Understanding of UI/UX principles for dashboard design. Experience with Python or R for data analysis is a plus. Familiarity with Agile/Scrum methodologies. More ❯

if you have the following skills and experiences: Strong experience in machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data More ❯

experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data analysis tools such as Excel, SQL, Python, R, or similar. Experience with data visualization tools like Power BI, Tableau, or similar platforms. Knowledge of energy systems, environmental policies, and sustainability practices is a More ❯

data science, analytics, or a related field. Proven experience working with large datasets and statistical modeling. Proficiency in programming languages such as Python or R, with a strong understanding of object-oriented programming concepts. Experience in designing and implementing ETL pipelines, data warehousing, and data modeling. Experience with machine learning More ❯

a clear and compelling manner to non-technical audiences. Experience with financial services or consumer lending data would be advantageous. Familiarity with Python or R for data analysis is a plus but not essential. Highly organised, with strong attention to detail and a proactive problem-solving mindset. Benefits: Group Life More ❯

the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (R, Python, SAS, MATLAB). Experience with Windows server management and Power BI Report Service. Proficiency with Python/Jupyter Notebooks, SQL and relational databases, ElasticSearch More ❯

in SQL for querying databases, understanding of data modelling and ETL processes, advanced Excel skills for supplementary analysis, and basic programming knowledge (Python/R preferred) for data analysis and automation. Data Governance & Compliance: Knowledge of best practices in data access, governance, and security, ensuring adherence to compliance standards. Strategic More ❯

discipline. 1+ Years of Experience working on Analytics and Business Intelligence focused initiatives, preferably in a consulting capacity. 1+ Years of Experience using Python, R, or other languages to build statistical models or analyze data. 1+ Years of Experience in creating complex SQL queries and functions, data structures and strong More ❯