66 R Program Jobs

Role & responsibilities What you will be doing The team is currently looking for a Data Analyst to be jointly responsible for the data standardisation, modelling, and forecasting of various demographic, socio-economic, and macroeconomic data meeting client needs and deadlines. This role demands a high level of analytical skill, proactive problem-solving, and commitment to continuously improving data modelling and forecasting techniques, as well as exploring and implementing new methods to improve data comparability and quality. drivers - Analyze and manipulate datasets, carrying out calculations and numerical analysis using R. Standardize raw statistical data to ensure cross-source comparability. Extrapolate and interpolate data using both quantitative and qualitative methods to develop modelling and forecasting techniques. Monitor, review, and enhance data quality. Document all work processes to ensure team alignment and best practices. Liaise with sales and marketing departments and handle client queries. What youll need- Background in mathematics, econometrics, data science, statistics or similar fields. Proficiency in R. Basic knowledge of Python. Experience in data manipulation, statistical analysis and time series forecasting. Excellent communications skills and fluency in English (both oral & written). Strong organizational skills, creativity and attention to detail. Ability to work on own initiative. What you will get - Professional Development: Grow your career with opportunities within a consultative and professional environment Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts (and more.!) Our Values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity Preferred candidate profile

Global Gen AI Developer Enabling a software-defined, electrified future. Visteon is a technology company that develops and builds innovative digital cockpit and electrification products at the leading-edge of the mobility revolution. Founded in 2000, Visteon brings decades of automotive intelligence combined with Silicon Valley speed to apply global insights that help transform the software-defined vehicle of the future for many of the worlds largest OEMs. The company employs 10,000 employees in 18 countries around the globe. To know more about us click here. Mission of the Role: Facilitate Enterprise machine learning and artificial intelligence solutions using the latest technologies Visteon is adopting globally. Key Objectives of this Role: The primary goal of the Global ML/AI Developer is to leverage advanced machine learning and artificial intelligence techniques to develop innovative solutions that drive Visteons strategic initiatives. By collaborating with cross-functional teams and stakeholders, this role identifies opportunities for AI-driven improvements, designs and implements scalable ML models, and integrates these models into existing systems to enhance operational efficiency. Following development best practices, fostering a culture of continuous learning, and staying abreast of AI advancements, the Global ML/AI Developer ensures that all AI solutions align with organizational goals, support data-driven decision-making, and continuously improve Visteons technological capabilities. Qualification, Experience and Skills: 6-8 Yrs Technical Skills: Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, R, SQL), and data processing tools (e.g., Apache Spark, Hadoop). Proficiency in developing, training, and deploying ML models, including supervised and unsupervised learning, deep learning, and reinforcement learning. Strong understanding of data engineering concepts, including data preprocessing, feature engineering, and data pipeline development. Experience with cloud platforms (preferably Microsoft Azure) for deploying and scaling ML solutions. Business Acumen : Strong business analysis and ability to translate complex technical concepts into actionable business insights and recommendations. Key Behaviors: Innovation: Continuously seeks out new ideas, technologies, and methodologies to improve AI/ML solutions and drive the organization forward. Attention to Detail: Pays close attention to all aspects of the work, ensuring accuracy and thoroughness in data analysis, model development, and documentation. Effective Communication: Clearly and effectively communicates complex technical concepts to non-technical stakeholders, ensuring understanding and alignment across the organization.

Qualification Masters related to Bioinformatics and Computational Biology Role & responsibilities - Combine and analyze multi-omics datasets to find common biological signals and actionable targets. - Classify disease and immune subtypes from both bulk and single-cell data using supervised and unsupervised machine learning methods. - Organize public datasets, evaluate analytical tools, and standardize workflows for clarity and reuse. - Conduct quality control, normalization, subtype and signature predictions across various sequencing platforms. - Create and maintain complete analysis pipelines for new technologies such as spatial transcriptomics - Search large consortia or databases for comparative studies and hypothesis generation. - Optimize resource use and job scheduling on Linux or HPC clusters; maintain version control and documentation. Preferred candidate profile - Programming & Scripting: R, Python, UNIX shell - Statistics & ML: Feature selection, clustering, predictive modeling, dimensionality reduction, survival analysis - Bulk & Single-Cell Analytics: RNA-seq, WES/WGS, methylation, proteomics, RPPA, scRNA-seq - Workflow & Reproducibility: Workflow managers, such as Nextflow or Snakemake, containers, Git - Data Resources: Major public repositories like TCGA and GEO, and internal cohort data management

Lead one or more application development projects. Responsible for project level programming or app development activities Role & responsibilities Provide leadership, guidance, and hands-on support to Develop data analysis solution for complex business problems in collaboration with biostatisticians and Statistical programmers e.g., R Shiny / Python web application Ensure technical validity, compliance to standards and SOPs, regulatory requirements Test, debug and optimize applications to ensure they work as expected, using both manual and automated testing techniques and provide documentation as per Computer System Assurance guidance Develop and maintain deployment and configuration instructions and ensure performance, security, and scalability of deployed applications Provide technical support to junior level programmers on day-to-day assigned activities Ensure efficient communication with Team Preferred candidate profile Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field. At least 6 years of programming experience (3+ for R, R Shiny) in analyzing and visualizing clinical trial data in the pharmaceutical industry, producing deliverables for submission. Advanced statistical computing software skills (e.g., SAS, R and R Shiny Framework) in a clinical data environment across multiple therapeutic areas, thorough understanding of relational databases and their correlation to submission-ready database structure (CDISC data structure requirements) Demonstrated programming experience and proficiency with R, R Shiny, tidyverse packages and R Markdown in building advanced R packages and modular Shiny apps (or other development stack) Excellent knowledge of Good Programming Practices and CDISC standards Ability to perform, coordinate and oversee the preparation, execution, reporting and documentation of all programming deliverables of a project, with minimal supervision. Strong project management skills Excellent written and verbal communication skills in an English global environment

Company Overview: HouseEazy is a cutting-edge prop-tech startup that transforms the buying and selling of ready houses into a seamless experience with just a click. Our mission is to revolutionize resale transactions by making them transparent, straightforward, and fast. We prioritize trust and safety, offering a significant improvement over the traditional, often complex, process. Responsibilities: Develop detailed, comprehensive, and well-structured test plans and test cases. Execute thorough functional, user, regression, and load testing using manual and automated testing suites as appropriate. Document all observations and issues in Jira. Review requirements, specifications, and technical design documents to provide timely and actionable feedback. Requirements: 1+ years of relevant experience in software testing for web and mobile applications. Strong understanding of software QA methodologies and processes. Proficiency with bug tracking tools, particularly JIRA. Experience with API testing tools such as RapidAPI, Postman, or RestAssured. Strong analytical and problem-solving skills. Knowledge of the bug life cycle and Software Testing Life Cycle (STLC) process.

We are hiring "R Language" for one of our "IT Services & Consulting-MNC" EXP-6-12 Years Location-Pune/Chennai Mode-Permanent Job Description: Possess expertise in R language with at least 4 years of relevant hands on development • Have experience in working on data.table libraries • Good understanding of creating functions in R • Aware about different types of data structures in R and their usage • Experience with apply family of functions • Experience in Agile/Scrum development environment • Hands on experience in writing SQL queries to perform functional • Good to have Understanding of git, CICD Devops tech, Test Coverage and TDD framework • Possess Organizational skill to set track and meet deadlines to deliver high quality deliverables • Ability to prioritize and be responsible for the execution of project tasks in a high- pressure environment. • Excellent communication, problem solving/analytical skills

Role & responsibilities - We predict credit risk and other key metrics using machine learning (ML) models this will be one of your key tasks, where you will build these and work with stakeholders to implement them in a timely and accurate manner You will also work on other underwriting rules and optimize them Once these are implemented, you will help monitor the portfolio and suggest corrections where necessary You will evaluate other data sources to improve these models We do not just work on underwriting the team provides analytics support across the organization, and you will be involved in this work You will run controlled tests based on Design of Experiments principle to add value to the business this involves critical thinking You will mentor junior members and help them grow Preferred candidate profile - You should have built machine learning models and have good knowledge of statistics You should have good understanding of the underlying details about how the machine learning models work We expect you to have the ability to work independently on projects end-to-end starting with formulating problem statements, identifying solutions to the problems, breaking the solution into smaller tasks, and do hands on analysis of data to arrive at the solution We need someone who has programmed before – in R or Python or SQL etc. If you can program well in any language, we feel you can pick up another easily. Are you a critical thinker with good problem solving skills? We do not just build ML models using pre-packaged tools – that is a good skill to have but does not make you a rounded data scientist. In your job, you may just be asked a high level, poorly defined question – your job will involve understanding context, bounding the problem, forming hypotheses and delving into the data and coming up with a solution. Have you done that? Are you confident of doing that? Can you understand your problem well enough that you can convey the key message to a lay person through presentations and other means?

Role & responsibilities JD: Your main activities will be centralized around: Configuration of the domain concepts of the DataHub platform Implementation of rating calculation rules using R Align development with other Data Scientists Document Data mappings and configuration UnitTest of data ingestion flows and R computing functions Bugfixing and troubleshooting of issues Collaborate implementation with other software engineers Report to Project coordinator You are an experienced software engineer with: More then 5 years experience as a Data Scientist/Data Engineer Experience with implementations of statistical computing and data mining More then 5 years experience in R development and VS.Code Experience with a variety of database systems like SQL, Cassandra, Time Series DB, MongoDB Experience with Agile working in a DevOps team Knowledge of Azure Cloud components is a plus UTC time zone Preferred candidate profile

Job Title: MicroStrategy Report Developer Location: Bengaluru Job Type: Full-Time (Onsite) Experience: 5-7 Years Job Description We are hiring a MicroStrategy Report Developer responsible for designing, developing, and maintaining reports and dashboards that support key business functions. The ideal candidate will have strong expertise in MicroStrategy reporting tools and a keen eye for detail in data presentation. Key Responsibilities: Design and develop reports, dashboards, and documents using MicroStrategy Web, Desktop, and Mobile. Collaborate with business users to gather and understand reporting requirements. Create visually effective and user-friendly reports and dashboards. Write and optimize SQL queries for report development. Ensure accuracy and consistency of report outputs through thorough validation and testing. Troubleshoot and resolve reporting issues in a timely manner. Maintain and enhance existing MicroStrategy reports as per business changes. Create and update documentation for reports and dashboard solutions. Stay updated with the latest MicroStrategy reporting features and functionalities. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 5+ years of hands-on experience with MicroStrategy reporting. Proficient in creating reports, documents, and dashboards using MicroStrategy Web and Desktop. Strong SQL skills and experience working with relational databases (e.g., Oracle, SQL Server). Excellent analytical and problem-solving skills. Good communication skills to interact with business and technical stakeholders. Preferred Skills: MicroStrategy certifications (Reporting or Analyst level). Familiarity with MicroStrategy Dossiers and Visualizations. Exposure to Agile/Scrum environments. Experience with other BI tools is a plus.

JD FOR R Programmer Title- Statistical Programmer/Sr. Statistical Programmer -R Programming We are seeking an experienced R Programmer to support Application development and statistical programming activities . The ideal candidate will have strong R programming skills with a solid understanding of clinical trial data, regulatory standards (e.g., CDISC, SDTM, ADaM), and open source libraries. Key Responsibilities: Develop and validate R programs to support CDISC dataset and statistical graph Create Markdown and Shiny appy for generating statistical tables and listings. Automate and streamline data wrangling, transformation, and visualization of clinical datasets using R and associated packages. Create and maintain Shiny apps, R Markdown reports, and automated pipelines for exploratory and statistical analyses. Collaborate with biostatisticians, data managers, and clinical teams to interpret clinical data and support study objectives. Contribute to statistical analysis plans (SAPs) and documentation for regulatory submissions (e.g., FDA, EMA). Ensure compliance with GxP, 21 CFR Part 11, and company SOPs in statistical programming deliverables. Required Qualifications: Bachelor's or Master's degree in Statistics, Biostatistics, Computer Science, Engineering or Quantitative field. 5+ years of experience in R programming within a clinical trials or pharmaceutical environment. Proficient in R packages such as tidyverse, haven, ggplot2, shiny, TEAL , knitr, and data.table. Knowledge of CDISC standards (SDTM, ADaM) and regulatory submission requirements. Experience with clinical data standards and regulatory documentation. Excellent attention to detail, problem-solving skills, and communication abilities. What We Offer: Opportunity to work on cutting-edge drug development programs. Career growth and access to global clinical research networks. Competitive salary and comprehensive benefits package.

#hiring . Know anyone who might be interested? "Remote Opportunity" Veeda Lifesciences is seeking a passionate "Clinical Data Analyst". Skills Required: - R Programming - Automation and Tool Development - Data Analysis and Interpretation - Documentation and Reporting - Project Management Experience Required: 5 to 7 Years Education Required: Bachelors in Statistics, Biostatistics, Mathematics or another relevant field Interested candidates can share an updated CV to mahendra.t3705@veedalifesciences.com Purpose of the Role: To use advanced data analysis for providing actionable insights that support data-driven decision-making within teams by utilizing R programming language, developing automation tools for oversight and standardized reporting templates to enhance the efficiency and consistency of information across the organization. Role & responsibilities: 1. Data Analytics and Reporting: Design and develop detailed reports leveraging various databases, using R language to generate meaningful insights. Proactively develop automation tools, standardized reporting tools & templates (including slides) for use by stakeholders to enable consistent presentation of information across the teams. Create visualizations and trend analysis to identify patterns in study performance or other relevant areas. Monitor and document any bugs or issues related to the reporting tools and work with the concerned teams for timely resolution. 2. Stakeholder Collaboration Collaborate with cross-functional teams proactively to gather and understand reporting requirements, translating them into programming Specifications. Assist leadership teams in data-driven decision making by providing actionable insights such as budget projections, resource allocation, Full Time Equivalent (FTE) predictions etc. through various reports. Act as the bridge between data teams and other departments, gathering requirements and output Specifications for new analytical tools or reports. Utilize data to perform analytics, thereby predicting future requirements, provide real-time analysis of study quality metrics, site performance metrics and generate reports for Source Data Verification (SDV). 3. Analytics Project Management Maintain clear documentation of methodologies, data processes, and report-generation protocols to ensure transparency and reproducibility of analyses. Assist in the development of performance metrics based on communicated requirements, contributing to the overall efficiency and effectiveness of clinical operations. Develop clear and concise communication around project progress, key findings, and recommendations to various stakeholders. Keep track of the number of projects progress and provide regular reports to Associate Director, Biostatistics and Analytics. 4. Policies, Processes & Procedures Conduct day to day activities & follow all relevant policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner. Assist in the updating departmental and role Specific programming standards, Standard Operating Procedures (SOPs), Working Procedural Documents (WPDs), and templates to reflect current practices and regulatory requirements. Implement new initiatives/ projects as per established policies to meet future requirements of the function. Comply with the company's Quality and Information Security Management Systems and applicable national and international legislation, including legislation for data protection.

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.

Technical Skills Summary: Google Analytics Engineer Experience ( 3-5 ) years Google Analytics: Proficient in GA setup, management, and advanced features (custom dimensions, segments, filters). Experience with GA360. Data Analysis: Strong in interpreting data, statistical analysis using SQL, R, or Python. Web Development: Basic knowledge of HTML, CSS, JavaScript for tag debugging. Reporting Tools: Skilled in Tableau, Power BI, and Excel for dashboards and reporting. Proficient in data visualization to communicate insights..

Role: Specialist Business Intelligence Location: Chennai Education: BE / BTech, Msc , MCA Job purpose : To support Globally to enhance the working condition of all the Windfarms in Services. Dashboard creation for the stakeholders as per the requirement. Analyzing of Business data. Key accountabilities / Responsibilities: Develop and deploy dashboards to collect data-backed insights. Supporting business intelligence strategies with quantitative analysis Ticket handling focuses on data gathering, analysis and interpreting key business data sets Support operational topics for availability reporting. Support internal stakeholders with root cause analysis and ad hoc investigations using operational turbine data to identify and interpret component driving performance issues Skills: R/Python programming + R Shiny, Power Bi, SQL + SQL Server, implementing and maintaining data management solutions Career / Job experience : Minimum 6-7 Years Data Analysis, Business Intelligence, Data Visualization Wind industry or Renewable is added advantage Dashboard developments are must Strong organizational and time management skills with the ability to prioritize tasks effectively Strong multitasking skills Good stakeholder management, excellent communication and interpersonal skills to collaborate with internal and external stakeholders

Data Engineer Experience Range: 05 - 12 years Location of Requirement: Chennai Desired Candidate Profile: Languages: Python, R, SQL, T-SQL Visualisation: Tableau, Power BI, Matplotlib, Looker Big Data: Hadoop, Spark Skills: Database Performance, Query Tuning, Schema Designing, Dataset aggregation, query optmization

A US-based alternative asset management (Real Estate Developer and Property Management) company is looking for a senior data analyst. Role & responsibilities Design, develop, test, and maintain complex reports using MS Power BI . Create interactive & static visualizations, including graphs and charts, maps, and tables for use by internal stakeholders. Collaborate with the IT Data Analyst to design and create Power BI data sources that support company-wide reporting needs. Extend the capability of reporting through statistical analysis and metrics reporting. Preferred candidate profile 4-7 years of demonstrated professional experience in MS Power BI ; a combination of experience in Power BI and a similar toolset, such as Tableau or SAS Analytics, may be considered. Expertise in designing and building complex data sets, dashboards and reports utilizing Power BI and/or similar tools. Demonstrated experience using SQL (Structured Query Language) to query databases and extract relevant data. Working knowledge of data science/analysis programming languages such as R or Python . Skilled in completing assignments accurately and with attention to detail. Ability to analyze, organize and prioritize work under pressure while meeting deadlines. Ability to process and handle confidential information with discretion. Ability to work independently and/or in a collaborative environment. Experience with Shapefiles

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 : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Relex Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Seeking motivated and experienced RELEX Forecasting & Replenishment (F&R) Solution Consultant to join our delivery team. As a key member of our team, you will work closely with clients to implement/optimize/manage RELEX Solutions, driving measurable business outcomes in demand forecasting, replenishment, inventory optimization, and supply chain efficiency. Roles & Responsibilities:-Understand and build Functional design documents based on Business -Design, Build and Configure RELEX application to meet business requirements-Perform UI configurations as per the requirements-Serve as the functional expert on RELEX F&R solutions, supporting client engagements from design through deployment, and operations.-Lead RELEX-specific workshops and discovery sessions to gather client requirements, assess current-state capabilities, and design future-state processes.-Configure RELEX modules including Demand Forecasting as well as Replenishment.-Knowledge on various functions like Merchandize Planning, Assortment Planning, Promotions, Category Management, Forecasting and Replenishment-Collaborate with cross-functional teams including IT, data integration, and business stakeholders to ensure smooth delivery.-Guide clients on RELEX-specific configuration best practices for forecast algorithms, safety stock, lead time variability, promotion uplift modeling etc.-Validate and troubleshoot data feeds (e.g., master data, sales history, inventory levels) for RELEX ingestion using RELEX data schema knowledge.-Excellent knowledge of RELEX native customizations like TQL.-Support change management, training, and knowledge transfer to client teams.-Provide post-implementation support and continuously identify areas for optimization.-Experience in Agile Methodologies will be added advantage-Stay current on RELEX product roadmap, feature updates, and configuration capabilities and contribute to internal knowledge sharing. Professional & Technical Skills: -3+ years of experience in implementing or supporting RELEX F&R software, ideally in a retail or grocery environment.-Strong understanding of retail supply chain processes including forecasting & replenishment.-Hands-on experience with RELEX cloud-based solution architecture, solution configuration, and custom logic setup.-Experience working with TQL, data mapping, and system configuration.-Experience with end-to-end RELEX project delivery, including functional design, test planning, UAT support, and hypercare.-Excellent communication and stakeholder management skills.-RELEX certification or formal RELEX Academy training in core modules.-Deep functional knowledge in RELEXs AI-based forecasting engine, seasonality models, and promotion effectiveness analysis.-Experience integrating RELEX with upstream ERP systems (e.g., SAP, Oracle) and downstream POS or WMS systems.-Familiarity with RELEXs sandbox/SAMPO environment for prototyping and solution testing.-Experience working in Agile or hybrid delivery methodologies.-Ability to thrive in a fast-paced, client-facing environment. Additional Information:- The candidate should have minimum 7.5 years of experience in Relex Platform.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

6 to 8 years of relevant experience in statistical programming Minimum 3 years of hands-on experience with R programming Strong knowledge and working experience with CDISC standards: SDTM, ADaM, and TLF Exposure to efficacy analysis

# Hands on programming exp in R language and Shiny tool # Experience in R libraries covering MS SQL Datasource Connectivity, Data Ingestion and Transformation # Experience in Shiny tool in developing complex UI with the combination of Generic charts and custom Graphs # Inquisitiveness to learn and good problem solving ability # Experience in R libraries covering MS SQL Datasource Connectivity, Data Ingestion and Transformation # Experience in Shiny tool in developing complex UI with the combination of Generic charts and custom Graphs # Inquisitiveness to learn and good problem solving ability Interested candidates may email their resume to . Role:- You will be a part of current development team and will play a part developing applications as a part of internal products or business requirement.

Roles and Responsibilities Conduct statistical analyses using Python, R, SAS, SQL, and other relevant tools to solve business problems. Develop predictive models and machine learning algorithms to drive business insights. Collaborate with cross-functional teams to design and implement data-driven solutions. Provide expert advice on statistical modeling, data mining, and analytics best practices. Stay up-to-date with industry trends and advancements in statistics and mathematics.

Global Gen AI Developer Enabling a software-defined, electrified future. Visteon is a technology company that develops and builds innovative digital cockpit and electrification products at the leading-edge of the mobility revolution. Founded in 2000, Visteon brings decades of automotive intelligence combined with Silicon Valley speed to apply global insights that help transform the software-defined vehicle of the future for many of the worlds largest OEMs. The company employs 10,000 employees in 18 countries around the globe. To know more about us click here. Mission of the Role: Facilitate Enterprise machine learning and artificial intelligence solutions using the latest technologies Visteon is adopting globally. Key Objectives of this Role: The primary goal of the Global ML/AI Developer is to leverage advanced machine learning and artificial intelligence techniques to develop innovative solutions that drive Visteons strategic initiatives. By collaborating with cross-functional teams and stakeholders, this role identifies opportunities for AI-driven improvements, designs and implements scalable ML models, and integrates these models into existing systems to enhance operational efficiency. Following development best practices, fostering a culture of continuous learning, and staying abreast of AI advancements, the Global ML/AI Developer ensures that all AI solutions align with organizational goals, support data-driven decision-making, and continuously improve Visteons technological capabilities. Qualification, Experience and Skills: 6-8 Yrs Technical Skills: Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, R, SQL), and data processing tools (e.g., Apache Spark, Hadoop). Proficiency in developing, training, and deploying ML models, including supervised and unsupervised learning, deep learning, and reinforcement learning. Strong understanding of data engineering concepts, including data preprocessing, feature engineering, and data pipeline development. Experience with cloud platforms (preferably Microsoft Azure) for deploying and scaling ML solutions. Business Acumen : Strong business analysis and ability to translate complex technical concepts into actionable business insights and recommendations. Key Behaviors: Innovation: Continuously seeks out new ideas, technologies, and methodologies to improve AI/ML solutions and drive the organization forward. Attention to Detail: Pays close attention to all aspects of the work, ensuring accuracy and thoroughness in data analysis, model development, and documentation. Effective Communication: Clearly and effectively communicates complex technical concepts to non-technical stakeholders, ensuring understanding and alignment across the organization.

Hiring for a FAANG company. Note: This position is part of a program designed to support women professionals returning to the workforce after a career break (9+ months career gap) About the Role: A global analytics team is seeking a Business Intelligence Engineer to drive data-backed insights, design robust reporting frameworks, and influence key business strategies across international markets. This role is ideal for professionals returning to the workforce and looking to re-engage in high-impact analytical work. You will collaborate closely with business stakeholders across geographies (Europe, US, Japan, Asia), working on payments and lending analytics. This is a high-ownership, high-impact role requiring a passion for data, a knack for storytelling through dashboards, and the ability to work independently in a fast-paced environment. Key Responsibilities: Design and maintain dashboards, reports, and metrics to support executive-level business decision-making Ensure data accuracy and integrity across tools, dashboards, and reporting pipelines Use SQL, Excel, and scripting languages (e.g. Python, R, Java) for deep-dive analysis Develop BI tools and data visualizations using platforms like Tableau, AWS QuickSight, Looker, etc. Analyze business trends and apply statistical rigor (t-tests, chi-squared tests, regressions, forecasting) to derive insights Lead alignment and standardization of key metrics across global BI teams Model data and metadata to support robust analytics infrastructure Automate manual reporting efforts to enhance operational efficiency Work with cross-functional teams to recommend data-driven growth strategies Present insights and narratives to stakeholders including global leaders and executives A Day in the Life: Define and refine performance metrics, reports, and insights for international payment systems Drive analytical alignment with global BI leaders and executive stakeholders Lead deep dives into metrics influencing revenue, signups, and operational performance Own VP- and Director-level reporting initiatives and decision-support analysis Collaborate across regions to deliver unified and actionable analytics strategies Basic Qualifications: 2+ years of experience in data analytics using Redshift, Oracle, NoSQL, or similar data sources Strong SQL skills for data retrieval and analysis Proficiency in data visualization using Tableau , QuickSight , Power BI , or similar tools Comfort with scripting languages like Python , Java , or R Experience applying statistical techniques to real-world data problems Preferred Qualifications: Masters degree or other advanced technical degree Experience with data modeling and data pipeline architecture Strong grasp of statistical analysis techniques, including correlation analysis and hypothesis testing Top 10 Must-Have Skills: Advanced SQL Data Visualization (Tableau, QuickSight, Power BI, Looker) Statistical Analysis (t-test, Chi-squared, Regression) Scripting (Python / R / Java) Redshift / Oracle / NoSQL Databases Dashboard & Report Development Data Modeling & Pipeline Design Cross-functional Global Collaboration Business Metrics & KPI Definition Executive-Level Reporting

Job Description Are you interested in joining a dynamic global team that has a great impact on the Collins' organization? If so, then this is the job for you! The Global Technical Solutions (GTS) organization brings employees together across Collins that work on Electronic Computer-Aided Design (ECAD), Mechanical Computer-Aided Design (MCAD), Technical Documentation and Technical Excellence. As a Data Scientist specializing in process improvements for Mechanical Computer-Aided Design (MCAD), Electrical Computer-Aided Design (ECAD), and Technical Publications, you will be integral to enhancing the efficiency, accuracy, and consistency of design and documentation processes within GTS. Leveraging data analytics and automation, youll develop data-driven solutions to streamline workflows, reduce errors, and improve quality across mechanical and electrical design outputs as well as technical publications. Collaborating closely with MCAD and ECAD design teams, technical authors, and cross-functional stakeholders, youll contribute to advanced process optimization and best practices for aerospace engineering documentation. What YOU will do: Develop strategy on data in collaboration with senior leadership team, technology team and Tools leader by implementing innovative data technology to solve difficult business problems. Build and maintain data pipelines to collect, process, and store large volumes of data. Develop ETL/ELT pipelines to move and transform data. Ensure data systems are scalable, fast, and reliable. Work with big data tools like Data Lakes, Apache Spark, Kafka, and cloud platforms. Designing, creating and maintaining dashboards, reports, and other data visualizations for various departments within an organization by developing and implementing data visualization standards and guidelines, and providing technical support and training to other team members on data visualization tools and techniques by staying on top of latest data visualization trends and techniques. Data Analysis & Process Insights for Portfolio of programs: Collect, clean, and analyze data from MCAD and ECAD systems, technical documentations, finance, HR and related tools. Identify inefficiencies, error trends, and bottlenecks across the design-to-documentation lifecycle to drive improvements in process quality and speed. Workflow Optimization for Cross-Disciplinary Design & Documentation: Identify improvement opportunities within product areas of MCAD, ECAD, Technical Documentation and Technical Excellence processes. Develop and implement data-driven solutions to reduce manual steps, improve cross-functional integration, and enhance document consistency and accuracy. Dashboarding & Visualization for Process Monitoring: Build and maintain dashboards to provide real-time monitoring of key metrics for MCAD, ECAD, Technical Documentation and Technical Excellence processes. Enable data-driven insights into process performance, workload management, and error trends for continuous improvement Cross-Functional Collaboration: Work closely with MCAD, ECAD, and technical documentation teams to understand their challenges and requirements. Serve as a data-driven consultant to technical authors, design engineers, and quality teams, ensuring the integration of analytics solutions aligns with the needs of each function. Documentation & Reporting: Document analytical methods, model specifications, and process improvements. Provide regular impact reports and key insights for continuous process optimization across MCAD, ECAD, and technical publications. Process Improvement: Identify and implement improvements using CORE events and engagements. Travel up to 10% of the time per business needs. Qualifications You Must Have: BE/B.Tech or MS/M.Tech or Phd with 8 to 13 Years of experience. 8+ years of experience in data engineering, data science, process improvement, or analytics, preferably within aerospace or a similar industry with a focus on design and documentation 8+ years experience in programming languages and relevant experience developing front end and backend tools (eg, Python, R, SQL, Cloud Platforms, PowerApps, PowerBI, Tableau, etc.) for data engineering, analysis and visualization. 8+ years’ experience creating data visualizations to articulate messaging to executive leadership using tools such as Power BI, Tableau, Alteryx etc. Qualifications We Prefer: Bachelor’s or master’s degree in data science, Engineering, Computer Science, Business or a related field, with a focus on design processes, technical documentation, or process optimization Employee in Global Technical Solutions, effective January 2025 Awareness of MCAD and ECAD tools (e.g., CATIA, SolidWorks, Altium, or Siemens EDA) Ability to explain data-driven insights to both technical and non-technical audiences Ability to collaborate effectively in cross-functional teams and drive alignment across disciplines What We Offer: Some of our competitive benefits package includes: Transportation facility. Group Term Life Insurance. Group Health Insurance. Group Personal Accident Insurance. Entitled for 18 days of vacation and 12 days of sick leave annually. Employee scholar program Work life balance Car lease program National Pension Scheme LTA Fuel & Maintenance /Driver wages And more! Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again. Apply now and be part of the team that’s redefining aerospace, every day

Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable.