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R Programming Jobs in Delhi, NCR and Gurgaon

Explore top R Programming Job opportunities in Delhi, NCR and Gurgaon for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

Data Scientist

Founded 2014
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Noida, NCR (Delhi | Gurgaon | Noida)
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1 - 7 years
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6 - 9 lacs/annum

 Selecting features, building and optimizing models using machine learning techniques  Data mining using state-of-the-art methods  Extending company’s data with third party sources of information when needed  Enhancing data collection procedures to include information that is relevant for building analytic systems  Processing, cleansing, and verifying the integrity of data used for analysis  Doing ad-hoc analysis and presenting results in a clear manner  Creating automated anomaly detection systems and constant tracking of its performance  Adopting new research methodologies including deep learning (CNNs LSTMs)on projects

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Machine Learning Data Engineer

Founded 2006
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NCR (Delhi | Gurgaon | Noida), Bengaluru (Bangalore)
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0 - 5 years
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12 - 25 lacs/annum

Job Description Who are we? BlueOptima provides industry leading objective metrics in software development using it’s proprietary Coding Effort Analytics that enable large organisations to deliver better software, faster, and at lower cost. Founded in 2007, BlueOptima is a profitable, independent, high growth software vendor commercialising technology initially devised in seminal research carried out at Cambridge University. We are headquartered in London with offices in New York, Bangalore, and Gurgaon. BlueOptima’s technology is deployed with global enterprises driving value from their software development activities For example, we work with seven of the world’s top ten Universal Banks (by revenue), three of the world’s top ten telecommunications companies (by revenue, excl. China). Our technology is pushing the limits of complex analytics on large data-sets with more than 15 billion static source code metric observations of software engineers working in an Enterprise software development environment. BlueOptima is an Equal Opportunities employer. Whom are we looking for? BlueOptima has a truly unique collection of vast datasets relating to the changes that software developers make in source code when working in an enterprise software development environment. We are looking for analytically minded individuals with expertise in statistical analysis, Machine Learning and Data Engineering. Who will work on real world problems, unique to the data that we have, develop new algorithms and tools to solve problems. The use of Machine Learning is a growing internal incentive and we have a large range of opportunities, to expand the value that we deliver to our clients. What does the role involve? As a Data Engineer you will be take problems and ideas from both our onsite Data Scientists, analyze what is involved, spec and build intelligent solutions using our data. You will take responsibility for the end to end process. Further to this, you are encouraged to identify new ideas, metrics and opportunities within our dataset and identify and report when an idea or approach isn’t being successful and should be stopped. You will use tools ranging from advance Machine Learning algorithms to Statistical approaches and will be able to select the best tool for the job. Finally, you will support and identify improvements to our existing algorithms and approaches. Responsibilities include: Solve problems using Machine Learning and advanced statistical techniques based on business needs. Identify opportunities to add value and solve problems using Machine Learning across the business. Develop tools to help senior managers identify actionable information based on metrics like BlueOptima Coding Effort and explain the insight they reveal to senior managers to support decision-making. Develop additional & supporting metrics for the BlueOptima product and data predominantly using R and Python and/or similar statistical tools. Producing ad hoc or bespoke analysis and reports. Coordinate with both engineers & client side data-scientists to understand requirements and opportunities to add value. Spec the requirements to solve a problem and identify the critical path and timelines and be able to give clear estimates. Resolve issues and find improvements to existing Machine Learning solution and explain their impacts. ESSENTIAL SKILLS / EXPERIENCE REQUIRED: Minimum Bachelor's degree in Computer Science/Statistics/Mathematics or equivalent. Minimum of 3+ years experience in developing solutions using Machine learning Algorithms. Strong Analytical skills demonstrated through data engineering or similar experience. Strong fundamentals in Statistical Analysis using R or a similar programming language. Experience apply Machine Learning algorithms and techniques to resolve problems on structured and unstructured data. An in depth understanding of a wide range of Machine Learning techniques, and an understanding of which algorithms are suited to which problems. A drive to not only identify a solution to a technical problem but to see it all the way through to inclusion in a product. Strong written and verbal communication skills Strong interpersonal and time management skills DESIRABLE SKILLS / EXPERIENCE: Experience with automating basic tasks to maximise time for more important problems. Experience with PostgreSQL or similar Rational Database. Experience with MongoDB or similar nosql database. Experience with Data Visualisation experience (via Tableau, Qlikview, SAS BI or similar) is preferable. Experience using task tracking systems e.g. Jira and distributed version control systems e.g. Git. Be comfortable explaining very technical concepts to non-expert people. Experience of project management and designing processes to deliver successful outcomes. Why work for us? Work with a unique a truly vast collection of datasets Above market remuneration Stimulating challenges that fully utilise your skills Work on real-world technical problems to which solution cannot simply be found on the internet Working alongside other passionate, talented engineers Hardware of your choice Our fast-growing company offers the potential for rapid career progression

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Machine Learning Engineer

Founded 2015
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NCR (Delhi | Gurgaon | Noida)
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3 - 6 years
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10 - 18 lacs/annum

Proficiency using R / Python for predictive modelling, pattern recognition, and algorithm prototyping. • Should have exposure to appropriate tools in a Linux environment • Can apply probability models and machine learning approaches to solving complex problems • Adept at data manipulation, transformation, and decomposition • Identify key variables, parameters and elements defining a problem or its solution. • Can distill highly technical knowledge and techniques to collaborators outside the problem domain. • Java and/or Scala programming is a plus • Should be comfortable understanding business domain problems and formulating appropriate algorithms • Should be able to explain complex problems and solutions to business stakeholders and non- data science engineers

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Data Analyst

Founded 2014
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NCR (Delhi | Gurgaon | Noida)
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1 - 2 years
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4 - 6 lacs/annum

Job Brief: We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data Analyst Job Duties Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Responsibilities Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Acquire data from primary or secondary data sources and maintain databases/data systems Identify, analyze, and interpret trends or patterns in complex data sets Filter and “clean” data by reviewing reports, and performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Requirements Proven working experience as a data analyst or business data analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, R programming, python, etc.) Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Adept at queries, report writing and presenting findings B.E./ B.Tech in Mathematics, Economics, Computer Science, Information Management or Statistics would be preferred What we offer: Be part of the fastest growing edtech company Your contributions will have a potential to create an immediate positive impact on 6 million+ Indians! Get full freedom to dream big and chase your passion Flexible, fun and modern work culture with a highly motivated and energetic team Work with top talent

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Data Scientist

Founded 2015
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NCR (Delhi | Gurgaon | Noida)
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2 - 6 years
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10 - 15 lacs/annum

Drive the creation of new models and capabilities that will leapfrog traditional bureau-based modelling done at most major financial institutions leveraging a wide array of data from both traditional and non-traditional sources. ● Acquire deep understanding of MSME lending domain ● Perform data integration, manipulation, and querying for purposes of reporting and more sophisticated analytics ● Engage in regular problem solving sessions with overall leadership team to present findings and refine their own analytics plan. ● Manage data analysis to develop fact-based recommendations for innovation projects. ● Mine Big Data and other unstructured data to tap untouched data sources and deliver insight into new and emerging solutions. ● Remain current on new developments in data analytics, Big Data, predictive analytics, machine learning and technology

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