IBM is hiring for the role of Data Scientist for Degree in Statistics, Mathematics, Computer Science or another quantitative field with 4 to 6 years of experience in manipulating data sets and building statistical models/ Bachelor’s degree in Computer Science, Mathematics, Physics, Computational Linguistics, or related field. Interested candidates can apply for this recruitment drive and register through the given link. The detailed eligibility criteria to qualify and the application process are given below.
Job Summary of IBM:
Qualification Required: Degree in Statistics, Mathematics, Computer Science or another quantitative field with 4 to 6 years of experience in manipulating data sets and building statistical models/ Bachelor’s degree in Computer Science, Mathematics, Physics, Computational Linguistics, or related field
Experience required: 4 to 6 years of experience in manipulating data sets and building statistical models
Employment Type: Full-Time
Job function: Engineering, Information Technology
Location: Noida, Uttar Pradesh, India
Responsibilities:
Some of the Solutions we work involve the following
- Real time anomaly detection solutions that proactively identify service impacting incidents and prevent system downtimes. This is done by leveraging an ensemble of Deep learning and LSTM models.
- Natural Language Processing for entity, topic clusters and relationship extraction
- Text Analytics in human generated tickets and correlation with event tickets for event noise reduction. ApplyNatural Language Classification and RNN algorithms to automatically route tickets
- Log Analysis – Text mining, message clustering/templatization, Logs to metrics, anomaly detection, event annotation, and sequencing
- Learn Log Message Sequence for each mainframe batch job and Identify Anomalies during job runs using sequence mining techniques and provide early warning/alerts
- Cloud Migration – Patterns-based discovery optimization: Identify potential business application boundaries using an algorithmic approach from Cloudscape data.
- Wave planner: Employ goal-based reasoning from AI planning capabilities for Server affinity, cost, time, black-out windows, etc. To power the above use cases, we have a Big Data system that can handle 2-3 TB of data daily and we manage a data lake that is 15 PB in size.
Required Technical and Professional Expertise
- Candidate must possess a degree in Statistics, Mathematics, Computer Science or another quantitative field with 4 to 6 years of experience in manipulating data sets and building statistical models
- You should have experience in using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
- You should have experience in creating and using advanced machine learning algorithms and statistics such as regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
- You should have experience in visualizing or presenting data for stakeholders using Excel, PowerBI, Tableau etc.
- You should have experience with distributed data or computing tools such as Hive, Spark, MySQL, etc
- You should have experience creating and using advanced machine learning algorithms and statistics:
regression, simulation, scenario analysis, modelling, clustering, decision trees, etc. - Should have strong knowledge of Java or Python and general software development skills
(source code management, debugging, testing, deployment, etc.)
Preferred Technical and Professional Expertise
- Candidate must possess a bachelor’s degree in Computer Science, Mathematics, Physics, Computational Linguistics, or related field
- You should have experience with open-source distributed data processing frameworks, such as Spark
- You should have experience working in a Linux environment
- You should have experience working on a development team building product
- You should have experience with presenting complex data science processes/information to non-data scientists
- You should have experience with Information Retrieval and relevant tools such as Lucene, Elasticsearch, Solr
- You should have experience with conducting projects from requirements generation, annotation, and modeling, through NLP output deliverables and management of internal/external clients
- Prioritization skills; ability to manage ad-hoc requests in parallel with ongoing projects
How to Apply IBM for the role of Data Scientist?
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