6 R Language Jobs

About the client: Our client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, and 35,000+ associates worldwide, the company specializes in digital engineering and IT services, helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. Our client partners with major firms in banking, healthcare, telecom, and media. Known for combining deep industry expertise with agile development practices, the company enables scalable and cost-effective digital transformation. With operations in over 50 locations across more than 25 countries, delivery centers in Asia, Europe, and North America, and backing from Baring Private Equity Asia. Job Title: ETL Developer With DBA Key Skills: ETL development, data modeling, DataStage (ETL), R language (Must have), Linux scripting, SQL, Control-M Job Location: Hyderabad Experience: 4-6 years Education Qualification: Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate Job Responsibilities: The candidate should have 8 years and above experience in ETL development. Understanding of data modeling concepts. Passionate about sophisticated data structures and problem solutions. Quickly learn new data tools and ideas. Proficient in skills - DataStage (ETL), R language (Must have), Linux scripting, SQL, Control-M. GCP knowledge would be an added advantage. The candidate should be well aware of Agile ways of working. Knowledge of different SQL/NoSQL data storage techniques and Big Data technologies.,

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

Looking for a Data Analyst with expertise in ERP systems (NetSuite and Workday Financials) and data warehousing (Snowflake) to support our ongoing ERP migration and data-driven decision-making. This role will be responsible for analyzing business data, ensuring data integrity, and generating actionable insights across financial, operational, and HR functions. Work closely with stakeholders to understand data needs related to NetSuite and Workday ERP implementation. Design, develop, and maintain reports and dashboards using PBI tools. Perform data extraction, transformation, and analysis from Snowflake to support business insights. Ensure data accuracy and consistency across NetSuite, Workday, and Snowflake. Support data migration and validation efforts during the ERP transition. Collaborate with Data Engineers to optimize Snowflake queries and pipelines. Create documentation for data models, processes, and dashboards. Required Skills & Experience: Proficiency in SQL for querying and analyzing large datasets in Snowflake. Experience working with NetSuite and Workday ERP systems. Strong analytical skills and ability to interpret complex business data. Hands-on experience with BI tools such as PBI. Understanding of ETL processes and data integration. Ability to work with cross-functional teams, including Finance, HR, and IT. Experience with Python or R for data analysis. Knowledge of data governance and security best practices. Familiarity with Workday Reporting and Workday Prism Analytics. Location: Remote- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Role Summary: QI seeks to hire suitable candidates to be a part of the EPAT Content team. About the team and its role in QI: The EPAT Content team has former bankers, programmers, and academics who worked in financial firms, universities, and tech companies. We have educational backgrounds in engineering, electronics, economics, and finance. The common thread stringing all of us is an obsessive curiosity to learn more about quantitative finance. We are responsible for the technical content and maintaining the quality of lectures delivered by top professionals worldwide in the EPAT (a six-month course conducted over weekends. You can check more about the course elsewhere on the website). We want to hear from you if you're interested in and excited to be part of a growing firm. Responsibilities: - Create content and conduct lectures, courses, and workshops for financial and educational institutions in India and abroad - Assist in the resolution of doubts and queries faced by students in lectures on quant finance - Enhance the content and delivery (pedagogy) of existing lectures - Write technical blogs on different aspects of quant trading - Supervise/evaluate the assignments and issues faced by course participants - Resolve queries on topics about statistics, machine learning, econometrics, Python, and other facets of quant trading - Contribute to research in the domain via writing and reviewing articles, manuscripts, and books connected to quant finance Qualifications and other aspects (The points in italics are prerequisites. Please do not apply if you don't satisfy them.) - 4-6 years of full-time work experience (industry experience is necessary) - Completed a Doctorate or Master's in engineering, statistics, computer science, finance, or other quantitative fields from a reputed university - Experience in knowledge delivery would be highly preferred - Expertise in the data science stack of at least one of Python and R (Python preferred) - Good grasp of math, statistics, and machine learning (in the context of financial markets) - Excellent writing, and speaking skills - Extensive knowledge of trading in the financial markets - Knowledge of financial instruments across asset classes - Ability to learn and digest new technical ideas/tools and implement them - Ability to work on multiple tasks and prioritize - Work over some weekends to take lectures or provide assistance to faculty during EPAT lectures (You will be eligible for compensatory offs that can be availed during weekdays)

We are looking for a skilled Senior Consultant with 3-5 years of experience in the SAP SAC domain, specifically in Planning and reporting. The ideal candidate should have excellent communication skills and be able to impart ideas in both technical and user-friendly language. ### Roles and Responsibility Develop and implement planning and reporting solutions for clients. Create models and dimensions in SAC for data analysis and visualization. Build data actions and allocation processes to support business requirements. Design and develop analytical applications using SAP Embedded BPC. Configure delta loads using import connections and write formulae for importing jobs. Lead all phases of SAP implementation projects and develop documentation for training and user procedures.### Job Requirements Strong hands-on experience in Planning and reporting within the SAP SAC domain. Experience in creating models and dimensions in SAC for data analysis and visualization. Expertise in building SAC stories and Digital board rooms for effective decision-making. Knowledge of writing R-Scripts and configuring data imports and connections with sources to SAC. Good experience with SAP BW Modelling, extraction, and reporting. Familiarity with HANA Graphical Views is an added advantage.

Responsibilities: Extract insights & build models to understand /predict Key metrices Work closely with stakeholders to identify business challenges and translate them into data science problems. Collect, clean, and preprocess structured and unstructured data from various sources. Focuses on Research Analysis, model development. Building models (regression, classification, clustering. Etc.) validate and deploy machine learning models to solve real-world business problems. Perform statistical analysis and generate data-driven insights and recommendations. Collaborate with engineering and product teams to implement data solutions. Automate monitoring model performance and retraining. Bachelor's or master's degree in computer science, Data Science, Statistics, Mathematics, or a related field. 5+ years of experience in a data science or machine learning role. Strong Python (PySpark, pandas, scikit-learn, TensorFlow/PyTorch). Hands-on with MLflow for model tracking & deployment. Expertise in Databricks for scalable ML workflows. Expertise in handling data issues including data gaps, duplicates, data drifts etc. Strong SQL skills and experience working with large databases. Solid understanding of statistical modelling, A/B testing, and predictive analytics. Strong grasp of supervised/unsupervised learning, deep learning, and optimization techniques. Experience with A/B testing and model performance monitoring. Experience with cloud platforms (AWS, GCP, or Azure) and working knowledge of MLOps is a plus. Excellent problem-solving skills, communication skills, and attention to detail. Experience deploying models to production using CI/CD pipelines.