11 Rstudio Jobs

Overview PepsiCo Data BI & Integration Platforms is seeking a Midlevel Alteryx & RStudio Platform technology leader, responsible for overseeing the deployment, and maintenance of cloud infrastructure (Azure/AWS) for its AMESA, APAC PepsiCo Foods/Beverages business. The ideal candidate will have hands-on experience with Alteryx & RStudio platforms, ensuring system stability, security, and optimal performance including Infrastructure as Code (IaC), platform provisioning & administration, cloud network design, cloud security principles and automation. Responsibilities Cloud Infrastructure & Automation Platform administration and support of PepsiCos North America & Europe Alteryx platform North America, LATAM, Europe, RStudio/Posit platform. Alteryx platform administration Administer and maintain the Alteryx Server, Gallery, and other components. Manage user roles, permissions, and access controls, ensuring data security and compliance. Monitor system performance, identify bottlenecks, and implement solutions to optimize workflow execution. Support the deployment, migration, and troubleshooting of Alteryx workflows. Provide multi-level technical support to Alteryx users, addressing issues from basic to complex. Perform platform upgrades, patching, and version control with minimal downtime. Implement and manage backup, restore, and archival processes for Alteryx Server assets and settings. Perform capacity planning to ensure the Alteryx platform can handle current and future workloads. RStudio/Posit platform administration Install, configure, troubleshoot, patch, and upgrades RStudio products such as Workbench, Connect, and Package Manager. Optimize performance, managing user access and security, and automate tasks. Build and deployment of R and Python packages, managing dependencies, and resolving related issues. Administering RStudio products within a Linux environment, ensuring security compliance, and documenting system configurations and procedures are also part of the role. Cloud platform administration Implement and support application migration, modernization, and transformation projects, leveraging cloud-native technologies and methodologies. Implement cloud infrastructure policies, standards, and best practices, ensuring cloud environment adherence to security and regulatory requirements. Deploy and optimize cloud-based infrastructure using Azure/AWS services that meet the performance, availability, scalability, and reliability needs of our applications and services. Drive troubleshooting of cloud infrastructure issues, ensuring timely resolution and root cause analysis by partnering with global cloud center of excellence & enterprise application teams, and PepsiCo premium cloud partners (Microsoft, AWS). Develop Infrastructure as Code (IaC) to automate provisioning and management of cloud resources. Write and maintain scripts for automation and deployment using PowerShell, Python, or Azure/AWS CLI. Work with stakeholders to document architectures, configurations, and best practices. Knowledge of cloud security principles around data protection, identity and access Management (IAM), compliance and regulatory, threat detection and prevention, disaster recovery and business continuity. Qualifications Bachelors degree in computer science. At least 4 to 6 years of experience in IT cloud infrastructure, architecture and operations, including security, with at least 2 years in a technical leadership role Hands on experience in managing, maintaining & troubleshooting Linux-based & Windows-based system & servers. Good knowledge of cloud architecture, design, and deployment principles and practices, including containers and DevOps is preferred. Good expertise in Azure/AWS big data & analytics technologies, including Databricks, DevOps, Kubernetes, virtual machines, monitoring and security tools. Good expertise in Azure/AWS networking and security fundamentals, including network endpoints & network security groups, firewalls, external/internal DNS, load balancers, virtual networks and subnets. Good knowledge of scripting and automation tools, such as PowerShell, Python, Terraform, and Ansible. Excellent problem-solving, analytical, and communication skills, with the ability to explain complex technical concepts to non-technical audiences. Certifications in Azure/AWS platform administration, networking and security are preferred. Strong self-organization, time management and prioritization skills A high level of attention to detail, excellent follow through, and reliability Strong collaboration, teamwork and relationship building skills across multiple levels and functions in the organization Ability to listen, establish rapport, and credibility as a strategic partner vertically within the business unit or function, as well as with leadership and functional teams Strategic thinker focused on business value results that utilize technical solutions Strong communication skills in writing, speaking, and presenting Capable to work effectively in a multi-tasking environment. Fluent in English language.

The ideal candidate for the role of People Analytics professional should have a strong background in transforming data into actionable insights to drive evidence-based HR decision-making. You will be responsible for designing, developing, and managing advanced dashboards and data visualizations using tools such as Tableau, Power BI, and other modern BI platforms. Building strong partnerships with key stakeholders across HR and the business is essential to deeply understand their challenges and translate their needs into actionable data solutions. In this role, you will need to develop and implement statistical models and machine learning solutions for HR analytics, while managing end-to-end data workflows including extraction, transformation, and loading (ETL). You will be required to design and deliver regular and ad-hoc reports on key HR metrics, ensuring data accuracy through thorough testing and quality checks. The successful candidate should have a Bachelor's degree in a related field, with a minimum of 5 years of experience in analytics, including specialization in people analytics and HR data analysis. Strong proficiency in RStudio/Python, SQL, data visualization tools such as Power BI or Tableau, machine learning, statistical analysis, and cloud platforms is required. Hands-on experience working with Oracle Cloud HCM data structures and reporting tools is highly desirable. You should bring strong problem-solving skills, effective communication abilities to convey data insights through compelling storytelling, and experience managing multiple projects independently in fast-paced, deadline-driven environments. An entrepreneurial mindset and leadership experience are key to successfully leading high-visibility analytics projects and driving collaboration across teams and departments. As a member of the Global People Analytics team, you will collaborate with key stakeholders within Talent Management, Talent Acquisition, Total Rewards, HR Services, and HR Information Systems to drive data-driven decision-making across the organization. This role offers an exciting opportunity to shape the future of people analytics, leverage advanced technologies, and contribute to high-impact, strategic HR initiatives.,

Responsibilities: Drive business growth in assigned portfolio in AI and ML. Responsible for collaborating with clients to understand their business challenges and advise cutting-edge AI solutions using AI and Generative AI technology. Conduct research and stay updated on the latest advancements in Generative AI technology and methodologies. Provide expertise and guidance to clients and internal teams on Generative AI best practices. Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Drive the team to build GenAI products and solutions. Tech Skills: Should have consulting experience with senior client stakeholders in AI ML technologies Should have strong experience in building AI and Generative AI solutions Should have solid experience developing and implementing generative AI models Experience with cloud-based platforms and services Experience with natural language processing (NLP) techniques and tools.

We are looking for a skilled R Shiny programmer to create interactive reports that transform clinical trial data into actionable clinical insights. As an R Shiny programmer, your role will involve designing, developing, deploying, and optimizing user-friendly web applications for analyzing and visualizing clinical data. Your responsibilities will include designing, developing, testing, and deploying interactive R Shiny web applications. You will collaborate with data scientists, bioinformatics programmers, analysts, and stakeholders to understand application requirements and translate them into intuitive R Shiny applications. Additionally, you will be responsible for translating complex data analysis and visualization tasks into clear and user-friendly interfaces, writing clean and efficient R code, conducting code reviews, and validating R programming. Moreover, you will integrate R Shiny applications with AWS services like AWS Redshift, implement unit tests to ensure quality and performance, benchmark and optimize application performance, and address any inconsistencies in data, analytical, or reporting problems that may arise. Other duties may be assigned as needed. The ideal candidate should possess a Bachelor's degree in computer science, Data Science, or a related field, along with 3 to 8 years of relevant experience. Proven expertise in building R Shiny applications, strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization, experience in using SQL, and an understanding of user interface (UI) and user experience (UX) principles are essential. Experience with gathering requirements, using RStudio, Version Control software, managing programming code, and working with POSIT Workbench, Connect, and/or Package Manager is preferred. Candidates should have the ability to manage multiple tasks, work independently and in a team environment, effectively communicate technical concepts in written and oral formats, and experience with R markdown, continuous integration/continuous delivery (CI/CD) pipelines, and AWS cloud computing services such as Redshift, EC2, S3, and CloudWatch. The required education for this position is a BE/MTech/MCA degree in a computer-related field. A satisfactory background check is mandatory for this role.,

Job Summary We are looking for an experienced R Analytics Lead to manage the day-to-day operations of our R-based analytics environment. The role focuses on monitoring the execution of existing R scripts, resolving failures through root cause analysis and data cleaning, supporting business teams with production data requests, and mentoring the R Ops team for better process efficiency and incident handling. --- Key Responsibilities Monitor Production Jobs: Oversee successful execution of scheduled R scripts; monitor failures, investigate issues, and take corrective actions. Root Cause Analysis: Troubleshoot script failures and identify data or logic issues; perform necessary fixes and re-execute the process to ensure output delivery. Data Cleaning: Handle raw or inconsistent production data by applying proper cleaning techniques to ensure smooth script execution. Production Data Requests: Fulfill various production data and reporting requests raised by business stakeholders using R and SQL. Issue Resolution & Team Support: Act as the go-to person for any technical issues in the R Ops team. Guide and support team members in identifying problems and resolving them. Process Improvement: Identify areas to improve existing R code performance, suggest enhancements, and help automate or simplify routine tasks. Collaboration with Development & QA: Support testing, deployment, and monitoring activities for new script developments or changes in the production environment. Knowledge Sharing: Train and mentor team members on R coding standards, production support practices, database usage, and debugging techniques. Required Qualifications 6+ years of experience in analytics, with at least 4 years in a lead or senior operations/support role. Strong hands-on experience in R programming (especially with packages like dplyr, data.table, readr, lubridate). Proficiency in SQL for data extraction, transformation, and analysis. Experience in handling production support, script monitoring, and issue resolution. Demonstrated ability to lead teams, train junior members, and coordinate across departments. Desirable Skills Familiarity with scheduling tools and database connections in a production environment. Ability to document processes, communicate issues clearly, and interact with business users.

We are looking for a Junior Writer & Researcher to join our team who loves to explore ideas, delve into deep research, and collaborate to create impactful short-form content. As part of our team, you'll work across three dynamic channels, helping shape and script compelling narratives. Your Typical JD Checklist Experience: 1 to 2 years in any creative industry Reporting To: Director, Matar Media About the Role Are you a curious thinker who can also get things done? We're looking for a Junior Writer + Researcher who thrives in creative chaos, reads voraciously, and is excited to shape ideas into tight, insightful scripts. If youre passionate about content that makes an impact, wed love to meet you. What Will Your Day-to-Day Work Look Like Collaborate with the Senior Writer + Researcher on channel content direction Research approved video topics and develop detailed treatment notes Write scripts for short-form videos from start to finish Own and manage the pre-production process in line with the script Work closely with the post-production team to preserve narrative integrity Present new content ideas and strategies to the Head of Content Conduct deep-dive structured research across topics with the content team Deliver both short-form and long-form scripts for the channel You Are the Perfect Fit If: You must be a reader non-fiction, research papers, or anything that deepens your thinking Youre passionate about thoughtful, impactful content (not just UGC or trending reels) Youre a collaborative team player with a strong sense of initiative You see this as more than a job storytelling energizes you You work well under constraints and push for better-than-good Youre organized, with strong research and tabulation skills Youre proficient in scriptwriting and short-form narrative structure Youre comfortable writing treatment notes and breakdowns Familiarity with AI tools is a plus Soft Skills Clear and confident communication Prioritization in a fast-paced, deadline-driven environment Accountability and ownership of your deliverables What More Will You Get? A bandwagon of people who will always back you visit our office to find out Creative freedom to explore bold and whacky ideas We respect your time no hustle culture, just meaningful work

Building and maintaining systems for extracting, pre- processing and modelling for different data streams, as well as integrating data across different sources. Expertise in visualizations and data analysis. Creating predictive and prescriptive models that could have a positive impact on the business. Integrating data engineering and modelling algorithms/techniques and solutions into the backend systems Develop model monitoring infrastructure for periodic monitoring and upgradation of data science strategies and models Building & implementing state-of-the-art deep learning models. Working with various stakeholders to identify and capitalize on opportunities to leverage data to drive business solutions. R Programming / Python Scripting / SQL; Experience in Finance, R-Studio/Shiny. Experience 5 - 7 Years . Industry IT Software - Application Programming / Maintenance Qualification B.E Key Skills Data Analyst R Programming Python R Programmer

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Prompt Engineering, Manual Testing Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous learning in the rapidly evolving field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to identify and resolve technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Strong understanding of AI tools and cloud services.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques.- Knowledge of software development best practices and version control systems. Additional Information:- The candidate should have minimum 3 years of experience in Prompt Engineering.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

AECOM is seeking a mid-level Environmental Database Manager with a minimum of 6 years of experience to support our enterprise environmental data management system (EarthSoft EQuIS). The ideal candidate will have a strong understanding of environmental data and terminology, good communication skills, and the ability to collaborate with both technical and non-technical stakeholders. This position will offer a hybrid work arrangement to include both office and remote work schedules and will be based from our office located in Bengaluru, India. This role includes, but is not limited to, the following activities: Responsibilities: The ideal candidate will beable to understandrequests fromenvironmental subjectmatter experts. Gather, organize, and validate field data from environmental monitoring activities such as air, soil, and water quality assessments. Manage field and analytical data in relational database systems like EarthSoft EQuIS, Locus EIM or other environment databases. Conducting QA/QC for electronic data deliverables with laboratory analytical data to ensure quality. Generating standardized report outputs through software tools like EQuIS or EIM. Prepare environment data summaries and compliance reports for submission to regulatory agencies. Utilize statistical tools and predictive modeling techniques to assess environmental impacts and forecast trends. Design and create dashboards and visualizations using platforms such as Power BI or EQuIS Enterprise. Ensure data meets reporting standards and guidelines set by local, state, and federal authorities. Responsible for generating Borelogs through multiple platforms like gINT, open source or EQuIS. Supporting legacy data migrations to EQuIS/EIM as needed, ensuring proper formatting and compatibility. Collaborate with stakeholders, project managers, and team members, to achieve project objectives efficiently. Provide technical support to field sampling teams and act as a liaison between the project staff, analytical laboratory, data validator, and GIS analysts. Research state and federal regulations necessary to manage action levels or clean-up criteria. Qualifications Qualifications: Bachelors degree in environmental engineering, environmental science, or related discipline and 6+ years of relevant experience in environmental data management or consulting, with hands-on experience in EQuIS, LOCUS, EIM, ESDAT, or similar databases or demonstrated equivalency of education and/or experience. Skills Required: Expertise and experience with environmental data and database systems (MS SQL Server, MS Access). Expertise with relational databases such as EarthSofts Environmental Quality Information System (EQuIS) /EIM/ ESdat. Ability to continually analyze data at all stages for problems, logic, and consistency concerning field data collection, analytical reporting, and other expertise on EQUIS sub-tools (Collect, Edge, ArcGIS highly desirable but not essential). Assist projects globally and task delivery with high quality and within deadlines. Managing data (geological, Field data, chemical laboratory data) for technical report writing and interpretation as required by the team. Maintaining and updating various project dashboards using the web-based EQuIS Enterprise system; and preparing report-ready data tables, charts, and figures for internal review and external client reports. Project management duties include coordinating field events. Using the sample registry and Sample Planning module create EDDs and load to EQuIS to track event closure. Proficient in EQuIS collect Module, create and deploy different categories of forms and train field personnel on the same. Expert level understanding of Office 365, Excel, power query & Power automation. Should be good in Documentation including Data Management SOPs, Process Maps, Work instructions, Activity Analysis, Task effort estimation Use of visualization tools like Power BI to help management to make effective decisions for the environmental domain is desirable but not essential Knowledge of digital tools like Power BI, R Studio, KNIME Analytics, Python is a plus but not mandatory. Strong organizational skills, with experience prioritizing, time management and managing multiple tasks. Effective communication skills to interact with multidisciplinary teams and clients. Expertise in applying Six-Sigma techniques/analysis to the environmental data management process. Strong attention to detail with excellent analytical, judgment and problem-solving capabilities. Comfortable running meetings and presentations Preferred Qualifications: Masters degree in environmental engineering, Environmental Science, or a related discipline. Min 6 - 10 years of relevant experience in environmental data management or consulting, with hands-on experience in EQuIS, LOCUS, EIM, ESDAT, or similar databases or demonstrated equivalency of education and/or experience. Additional Information About AECOM AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options,well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at aecom.com. What makes AECOM a great place to work You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, youll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career youve always envisioned. Here, youll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity. As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it.

bout the Role: You would be part of program management team and work on customer life cycle management of banks customers. You will work closely with stakeholders across banks relationship management channels, data science unit and product teams to analyze and unlock new avenues of customer value. Management and reporting of day-to-day business performance will be a key responsibility area along with synthesis of data driven and actionable insights for improving channels operational efficiency, customer balance growth and cross-sell conversions. Job Responsibilities: Experience querying databases and using statistical computer languages: R, Python, SQL, etc. Empower operations teams by creating automated dashboards and reports using Power BI Experience in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations. Develop and recommend metrics that supports Business and Product growth. Leverage analytics to increase customer lifetime value by pitching right product to the right client at the right time Work with product, program, and operations teams across customer/campaign lifecycle Education, Work Experience, Key Skill Set Requirements: Must have at least 2 years of working experience in SQL and Power BI Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems Ability to build & use relationships and influence broadly across the organization Ability to work on multiple priorities with a strong result driven approach

Required Skills: Strong proficiency in R programming , including data wrangling (dplyr, tidyr, etc.) and data visualization (ggplot2, plotly) . Hands-on experience with Shiny and Shiny Dashboard development. Knowledge of HTML, CSS, and JavaScript to enhance Shiny app front-end functionality. Experience working with RMarkdown , flexdashboard , or shinyWidgets . Familiarity with version control (Git) . Understanding of basic statistical analysis and data modeling . Experience connecting Shiny apps to SQL databases , APIs , or other data sources. Ability to troubleshoot and debug Shiny applications efficiently.