251 to 275 of 1,199 R Jobs

with a focus in Motor Experience and detailed technical knowledge of GLMs/Elastic Nets, GBMs, GAMs, Random Forests, and clustering techniques Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Team player Self-motivated with a drive to learn and develop More ❯

with a focus in Motor Experience and detailed technical knowledge of GLMs/Elastic Nets, GBMs, GAMs, Random Forests, and clustering techniques Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Team player Self-motivated with a drive to learn and develop More ❯

performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Qualifications Proficient in SQL, VBA, R or similar programming languages Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Strong knowledge of and More ❯

on experience with Databricks , Unity Catalog , and Lakehouse architectures Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data visualisation, DevOps principles, and ML/AI integration into data architectures Strong grasp of data governance, security, and regulatory compliance (GDPR, HIPAA, etc.) Exceptional communication and More ❯

working with remote sensing data in analytical applications Demonstrable knowledge of EO, IR, and/or SAR sensing phenomenologies and their unique characteristics Strong programming skills in Python or R, with experience using geospatial libraries (e.g., GDAL, GeoPandas) Working knowledge of computer vision techniques applied to satellite/aerial imagery Proficiency with geospatial metadata standards and their importance in analysis More ❯

in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics. Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc. Communicate analyses via compelling presentations. Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis. Prepare and facilitating workshops. More ❯

Exceptional problem solving skills and analytical ability Ability to collect, analyse and interpret complex quantitative data and information Knowledge of one or more programming languages, e.g. C++, Matlab, Python, R, Java Strong interpersonal skills, and a great team player Desirable attributes: Relevant Master's degree or PhD Knowledge of and interest in energy markets, and a belief that well-designed More ❯

e.g., Cloudera) and compute frameworks (e.g., Spark, Hadoop). • Experience with MLOps processes and tools for model deployment, monitoring, and retraining. • Proficient in SQL/NoSQL and languages like R or Python for algorithm development. • Visualization expertise with libraries like Plotly, Seaborn, or ggplot2. • Knowledge of GPU workloads and indexing/search optimization techniques. Additional Information: Ideal for candidates looking More ❯

Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. Bachelor's degree from an accredited four-year university An active TS/SCI with polygraph You could also have this Experience using the Atlassian Tool Suite. More ❯

and performance metrics is essential. CRM Knowledge: Familiarity with CRM data structures and lifecycle marketing metrics such as engagement and retention. Technical Proficiency: Strong command of SQL , Python , or R , and experience with visualisation tools like Power BI and Tableau is essential. Google Cloud Platform (GCP) Experience: Hands-on skills with GCP and web/app analytics platforms including Google More ❯

Oracle, NoSQL etc. - Experience with 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 - Experience with SQL - Experience in the More ❯

predictions to support marketing and CRM optimisation. 3+ years experience as a Data Analyst preferably in consumer mobile apps, sports, gaming, retail, or e-commerce. Experience with Python or R for advanced analytics and machine learning, as well as exposure to marketing and CRM analytics. Hands-on experience with Mixpanel, Segment, and event-based tracking systems; proven ability to design More ❯

data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - 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 QUALIFICATIONS - Experience with AWS solutions More ❯

least 2 years in a leadership role Strong background in machine learning algorithms and statistical modeling Experience working with healthcare data and understanding of healthcare analytics Proficiency in Python, R, or similar data science programming languages Knowledge of big data technologies and cloud platforms (We're a GCP shop) Strong communication skills with ability to translate complex data insights for More ❯

Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time More ❯

Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time More ❯

Statistical Genetics, Bioinformatics, Computational Biology, or a related field. Minimum 3 years of experience in statistical genetics or a closely related discipline. Strong programming skills in languages such as R, Python, and experience with relevant bioinformatics tools and databases. Extensive experience with large-scale genomic datasets (e.g., Open Target Genetics, GWAS-/eQTLCat) and biobanks (e.g., UKBiobank, FinnGen). Experience More ❯

essential. EXPERIENCE Hands-on experience with software such as GastroPlus, Simcyp, MATLAB, or Python for developing and utilising PBPK/PBBM models. Experience with statistical programming environments such as R or SAS. Demonstrated expertise in: Drug product development using modelling methodologies such as PBPK/PBBM. Regulatory processes involving modelling and simulation tools, including interaction with regulatory authorities and authoring More ❯

to justify product decisions, and apply key learnings. Strong understanding of clickstream data and product instrumentation/tagging strategy Ability to manipulate and analyse data using tools like SQL, R or Python. Excellent written and verbal communication skills. Ability to communicate and coordinate between teams. Excellent influencing and negotiation skills - ability to manage expectations. Strong problem-solving skills and ability More ❯

ERP related experience.Basic knowledge of systems and database administration. Additional Qualifications Considered Master's degree in program evaluation, statistics, educational research, or related field.Experience with data analysis tools (SPSS, R, Excel) and Smartsheet.Strong communication and organizational skills.Experience in higher/medical education.Familiarity with LCME accreditation standards. Physical Requirements/Work Environment Office environment/no specific unusual physical or environmental More ❯

Solution Analyst GridOS - ADMS page is loaded Solution Analyst GridOS - ADMS Apply locations Edinburgh Cambridge time type Full time posted on Posted 30+ Days Ago job requisition id R Job Description Summary GE Vernova is the leading software provider for the operations of national and regional electricity grids worldwide. Our software solutions range from supporting electricity markets, enabling grid and More ❯

with neural deep learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD Amazon is an equal opportunities employer. We believe passionately More ❯

qualifications are a bonus, not a requirement. 3-8+ years of data science/quantitative modeling experience Proficiency in SQL and a computing language such as Python or R Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation Experience in working with cross-functional More ❯

experience in a data-rich environment using data mining techniques and predictive analytics Managing and building a high-performance team and region, from senior managers to graduates Experience with R and Python would be beneficial Experience with GCP - essential Deep understanding of statistical concepts and how to apply this in a business context We believe that diversity is one of More ❯

experience in a data-rich environment using data mining techniques and predictive analytics Managing and building a high-performance team and region, from senior managers to graduates Experience with R and Python would be beneficial Experience with GCP - essential Deep understanding of statistical concepts and how to apply this in a business context We believe that diversity is one of More ❯