30 R Programming Jobs - Page 2

Company - Tech Mahindra Skill: Data Scientist (R Programming ) Experience: 5-10 years Location: ITPL, Whitefield, Bangalore, 5 days work from office Required Skills: Strong proficiency in R programming (tidyverse, dplyr, ggplot2). Expertise in machine learning, statistical modeling, and data mining . Experience with SQL and working with large datasets . Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.

India's 2nd Largest KPO is hiring for R Programming+SAS Any Grad/PG with 6 yrs to 12 yrs Experience as R Programmer(R Packages, CDISC knowledge & experience, Programming SAS , Python, SQL, and R) SALARY UP-TO 18 LPA Call-Rukhsar-9899875055

Role Description As an AI/ML Engineer at MySGS & Co., you will play a key role in designing, developing, and maintaining machine learning (ML) systems and AI-driven automation solutions. You will collaborate closely with product managers, data scientists, data engineers, architects, and other cross-functional teams to build scalable and production-ready ML models. Your role will focus on both ML development and MLOps, ensuring seamless deployment, monitoring, and automation of ML models in real-world applications. You will be responsible for optimizing end-to-end ML pipelines, automating workflows, managing model lifecycle operations (MLOps), and ensuring AI systems are scalable and cost-efficient. You will embrace a build-measure-learn approach, continuously iterating and improving models for performance and reliability. Responsibilities Design, develop, and maintain ML models to solve business challenges and drive automation. Implement and optimize ML algorithms for efficiency, scalability, and AI-powered insights. Conduct experiments, A/B testing, and model evaluations to improve performance. Develop, containerize, and deploy AI/ML systems in production environments using best practices. Automate and streamline ML pipelines, ensuring smooth transitions from development to production. Monitor and troubleshoot the performance, accuracy, and drift of ML models in production. Execute and automate model validation tests, ensuring robustness and reliability. Optimize training and inference workflows, enhancing model efficiency and speed. Manage model versioning, deployment strategies, and rollback mechanisms. Implement and maintain CI/CD pipelines for ML models, ensuring smooth integration with engineering workflows. Review code changes, pull requests, and pipeline configurations to uphold quality standards. Stay updated with emerging AI/ML technologies, MLOps best practices, and cloud-based ML platforms. Skills and Qualifications Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn) Experience deploying and maintaining ML models using Docker, Kubernetes, and cloud-based AI services (AWS Sagemaker, GCP Vertex AI, Azure ML). Solid understanding of MLOps principles, including CI/CD for ML models, model monitoring, and automated retraining. Knowledge of data engineering principles, data preprocessing, and feature engineering for ML pipelines. Familiarity with workflow orchestration tools. Experience with real-time model serving and API deployment. Strong analytical and problem-solving skills with a keen attention to detail. Ability to collaborate cross-functionally and work in a fast-paced AI-driven

Who we are: At UST, we help the world s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30, 000 employees in 25 countries, we build for boundless impact touching billions of lives in the process. Visit us at . You Are: Lead I - Data Engineering We are seeking a skilled Data Scientist proficient in Python and R to join our team. The ideal candidate will have extensive experience developing machine learning and statistical models for regression, classification, and time series problems. Additionally, they will have a strong understanding of software engineering principles and the ability to write clear, well-structured, and testable code. The Opportunity: Develop machine learning and statistical models for various business needs, including regression, classification, and time series analysis. Implement models using Python and relevant libraries such as scikit-learn, pandas, and numpy. Apply machine learning techniques such as Linear Regression, Random Forest, Classification, and Ensemble methods. Convert R code to Python and ensure seamless integration between the two languages. Utilize R for data manipulation and analysis using tidyverse, dplyr, and data. table. Optimize and enhance existing R code for performance and scalability. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Follow best practices in software engineering to produce clean, manageable, and testable code. Stay updated with the latest industry trends and advancements in data science and machine learning What are we looking for: 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) Proven experience as a Data Scientist or similar role with hands-on experience in Python and R. Strong knowledge of machine learning algorithms and statistical modeling techniques. Bachelor s or Master s degree in Computer Science, Statistics, Data Science, or a related field. Proficiency in Python libraries such as scikit-learn, pandas, numpy, and matplotlib. Expertise in R programming, particularly with tidyverse, dplyr, tidymodels, and data. table. Experience with relational databases and SQL. Ability to convert R code to Python efficiently. Familiarity with software engineering principles and best practices. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to manage multiple projects and meet deadlines. Preferred Qualifications: Experience with advanced R programming and code optimization. Knowledge of additional data science tools and frameworks. What we believe: We re proud to embrace the same values that have shaped UST since the beginning. Since day one, we ve been building enduring relationships and a culture of integrity. And today, its those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the centre of everything we do. Humility: We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity: Through business, we will better the lives of those less fortunate than ourselves. Integrity: We honour our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. To support and promote the values of UST. Comply with all Company policies and procedures

As a Biostatistician II, you ll perform ad-hoc or exploratory analyses to support submission or Health Authority Questions. Having exposure to regulatory work experience is a bonus, for example, if you understand the regulatory questions and translating them to statistical problems, collaborating effectively, with clinical and regulatory colleagues. Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have: Master s degree in statistics or a related discipline. Ph.D. strongly desired. 3+ years supporting clinical trials in the Pharmaceutical or Biotechnology industry. Experience working for a CRO is strongly desired. Experience in sample size calculation, protocol concept development, protocol development, SAP, and preparing clinical study reports including integrated summaries for submissions. Good SAS programming skills for QCing critical outputs, Efficacy/Safety tables, and working closely with Programmers. Knowledge of R programming is a plus. Solid understanding & implementation of CDISC requirements for regulatory submissions. Adept in ADaM specifications generation and QC of datasets. The ability to build strong external & internal relationships and motivate a regional or global team. Effective communicator: able to explain methodology and consequences of decisions in lay terms. As a Biostatistician II, your responsibilities will include: Providing statistical support to clinical studies Participating in the development of study protocols, including participation in study design discussions and sample size calculations Reviewing CRFs and data review guidelines; developing statistical analysis plans (SAPs), including analysis dataset and TLG specifications Performing statistical analyses and interpreting statistical results Preparing clinical study reports, including integrated summaries for submissions Utilizing your strong communication skills to present and explain the methodology and consequences of decisions.