76 to 100 of 1,758 R Jobs

use of scripts or algorithms Required Skill Sets: • E xperience programming or scripting and debugging in one or more languages such as: Python, Javascript, R, SQL, Scala, etc. • Proficiency with data mining, mathematics, and statistical analysis demonstrated with hands-on academic and project experience conducting statistical analysis, testing, and modeling More ❯

and data lifecycle management . Experience with ETL processes and data pipeline management. Excellent problem-solving, leadership, and communication skills . Knowledge of Python, R, AI tools, or data modeling is desirable. Apply Now Ready to take the next step? Click the Apply button today and be part of an More ❯

crimes/AML space, with a minimum of 3-5 years in data analysis roles. Proficiency in data analytics tools such as SQL, Python, R, and SAS. Experience with data visualization tools like Tableau. Strong understanding of AML/KYC regulations and practices. Excellent analytical and problem-solving skills, with More ❯

tables) experience. Experience creating complex SQL queries joining multiple datasets, ETL DW concepts. Experience with data visualization tools (like Tableau) and scripting languages (like R and Python). Outstanding analytical, problem solving, and organizational skills with attention to details. Capability to work on multiple projects in parallel. PREFERRED QUALIFICATIONS Experience More ❯

DW concepts - Experience in Excel (macros, index, conditional list, arrays, pivots, lookups) - Experience scripting for automation (e.g., Python, Perl, Ruby) - Experience using Python or R for data analysis or statistical tools such as SAS - Experience using statistical tools such as Minitab - Experience with reporting and Data Visualization tools such as More ❯

with data visualization tools such as Power BI, Tableau, Palantir, or advanced Excel (pivot tables, charts, macros). Strong technical skills in Python, SQL, R, or similar for data manipulation and analysis (preferred but not required). Strong analytical skills and attention to detail. Excellent problem-solving abilities and organizational More ❯

data analysis to support strategic planning and operational efficiencies. SUPERVISORY RESPONSIBILITIES: None KNOWLEDGE, SKILLS, & ABILITIES: Proficiency in data analysis tools such as SQL, Python, R, or equivalent. Experience with data cataloging tools (e.g., Purview, Alation, Collibra) and maintaining data dictionaries. Strong understanding of data governance, data quality, and metadata management. More ❯

A/B testing and experimentation. Experience working with data warehouses and ETL pipelines. Experience with Power BI and DAX. Exposure to Python or R for data analysis. Experience in a product-driven or SaaS company. What we offer you Remote & flexible working - Work from wherever (and whenever) you are More ❯

governance and analytic development and production Must have in-depth experience with at least two of the following advanced scripting languages and tools; Python, R, SQL, Lucene, Jupyter, Pig, Scala, ELK Stack, Splunk, PowerBI, or Jupyter Notebooks Compensation Range: $186,000 - $245,000 _ Compensation ranges encompass a total compensation package More ❯

advanced SQL skills. - Experience programming to extract, transform and clean large (multi-TB) data sets. - Experience with statistical analytics and programming languages such as R, Python, Ruby, etc. - Experience working directly with business stakeholders to translate between data and business needs. - Experience working as a BIE in a technology company. More ❯

advanced SQL skills. Experience programming to extract, transform and clean large (multi-TB) data sets. Experience with statistical analytics and programming languages such as R, Python, Ruby, etc. Experience working directly with business stakeholders to translate between data and business needs. Experience working as a BIE in a technology company. 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 ❯

advanced SQL skills. Experience programming to extract, transform and clean large (multi-TB) data sets Experience with statistical analytics and programming languages such as R, Python, Ruby, etc. Experience working directly with business stakeholders to translate between data and business needs Experience working as a BIE in a technology company More ❯

including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics. Shall More ❯

engineering and data infrastructure, with a strong ability to collaborate with technical teams to build scalable solutions. Expertise in programming languages such as Python, R, SQL, and familiarity with big data technologies like Hadoop, Spark, and cloud platforms (e.g., AWS, GCP, Azure). Exceptional problem-solving and analytical thinking. Strong More ❯

years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience More ❯

Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, SAS, R, Python, or other programming languages for querying and analyzing data. Hands-on expertise with visualization tools such as Tableau or Looker. A proactive approach to More ❯

Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, R, Python, or other programming languages for querying and analyzing data. Hands-on expertise with visualization tools such as Tableau or Looker. A proactive approach to More ❯

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 ❯

Tableau, Power BI); risk analysis tools (e.g., Crystal ; and agile software development tools (e.g., JIRA). Proficiency in computer programming and modeling (e.g., Python, R, MATLAB). Recognition through publications, presentations, or contributions to the professional community. Exceptional interpersonal, verbal, and written communication skills, with the ability to engage effectively More ❯

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 ❯

will contribute to the development of AI and data science strategies across the Civil Service. Key Skills and Experience • Strong programming skills in Python, R, or SQL. • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). • Proficiency in data manipulation and analysis (e.g., Pandas, NumPy, Spark). • Knowledge More ❯

or Customer Relationship Management (CRM) concepts is advantageous. Proficiency in SQL and familiarity with data visualization tools like Tableau. Experience with statistical software (e.g., R, Python) and libraries for managing, manipulating, and analyzing data. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information More ❯

bachelor's with 8 years, master's with 6 years, or PhD with 4 years Proficiency in data science languages and tools (e.g., Python, R, SQL, Jupyter, Pandas, Scikit-learn) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and big data platforms (e.g., Spark, Hadoop) Strong background in statistics, data More ❯

economics and several others. BASIC QUALIFICATIONS 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 5+ years of data scientist experience. Experience with statistical models e.g. multinomial logistic regression. PREFERRED QUALIFICATIONS Experience working with data engineers More ❯