Senior Data Scientist

15 - 22 yrs exp
15 - 22 yrs exp
About opportunityAbout opportunity

About IBM: IBM is a global technology and innovation company present in India since 1992. It is the largest technology and consulting employer in the world, with approximately 380,000 employees serving clients in 170 countries. In this new era of Cognitive Business, IBM is helping to reshape industries as diverse as healthcare, retail, banking, travel, manufacturing, and many more, by bringing together our expertise in Cloud, Analytics, Security, Mobile, and the Internet of Things.  We are changing how we create. How we collaborate. How we analyze. How we engage. IBM is a leader in this global transformation.

Business Unit Introduction: Global Technology Services (GTS) at IBM manages the IT infrastructure for some of the world’s leading corporations and with that comes the responsibility of managing enormous amounts of IT data and the opportunity for making better decisions using that data. At the IT Operations Analytics (ITOA) Center of Excellence at IBM, Data Scientists, Data Engineers, and Big Data IT Architects are developing novel models, cutting edge algorithms, and custom analytics solutions to tackle Big Data challenges in the IT Infrastructure space.

Who you are: You will be working as a Data Scientist at the IT Operations Analytics (ITOA) Center of Excellence at IBM. You will be developing novel models, cutting edge algorithms, and custom analytics solutions to tackle BigData challenges in the IT Infrastructure space.

IT Operation Analytics (ITOA) provides real time machine-data (log, events, performance, capacity) analytics solutions that helps customers manage Business Services and manage the quality of the end-user experience

  • It can tell a client in real time ‘What happened’, ‘Why did it happen’ and ‘Will it happen again’?
  • Keeps everyone on the same page by looking at the same Business Transaction data and metrics.
  • Keeps the focus on metrics that translate to the business value the application delivers; dive in deeper when appropriate.
  • Identify resolution criteria, assign ownership
  • Take lessons learned to improve development, test, deployment, and production processes

What you’ll do:

  • Leads discovery processes with stakeholders to identify the business requirements and the expected outcome.
  • Collaborates with subject matter experts to select the relevant sources of information.
  • Design and build analytic solution for our customers in short development cycles.
  • Designs experiments, test hypotheses, and build models. Conducts advanced data analysis and designs custom algorithms.
  • Creates visualizations, dashboards and reports to explain insights to the stakeholders.
  • Presents and depicts the rationale of their findings in easy to understand terms for the business.
  • Acts as a mentor and guide to train, quality access & develop junior talent.

How we’ll help you grow:

  • You’ll have access to all the technical and management training courses you need to become the expert you want to be
  • You’ll learn directly from expert developers in the field; our team leads love to mentor
  • You have the opportunity to work in many different areas to figure out what really excites you

Required Technical and Professional Expertise:

  • Experience with at least one scripting language e.g. R, Python
  • Demonstrated data engineering experience with both structured and unstructured data.
  • Knowledge of statistical techniques (ANOVA, Chi squared, Correlation etc) to design, test and validate hypothesis.
  • Ability to generate and enrich features
  • Ability to use Python and Spark data wrangling, data transformation and ML libraries
  • Experience on working with multiple data types - Numerical, Time-series, Structured, un-structured and Semi-structured
  • NLP - Basic - NER,n-grams, PoS, Auto-tagging, Lemmatization etc
  • NLP -Advance - Word embeddings, LDA, Knowledge Graph, Word Association, Advance PoS, Grammar extraction, Auto-Classification, Similarities, Summarization, Basic Q&A bot frameworks
  • NLU - Context, Intent, Sentiment(not bag of words), suggestions, actors, colloquialisms, sarcasm, conversation construction
  • Forecasting - Basic and advanced including very short-term and low granularity forecasting

Preferred Technical and Professional Experience:

  • Anomaly detection on numerical data - Standard methods & methods which use historical memory patterns
  • Anomaly detetcion on sparse, irregular and non-numerical data streams
  • Experience working with few of the machine learning models : Bayesian models, Tree based models, Margin based classifiers, Boosting and Bagging models , Cluster analysis, Anomaly detection systems.
  • Experience on working with multiple data types - Numerical, Time-series, Structured, un-structured and Semi-structured
  • Knowledge of time series analysis techniques e.g. Holt-Winters, ARIMA.
  • Data visualization experience ( Tableau, Qlikview, D3.js etc).
  • Experience working with large data sets leveraging distributed systems e.g. Spark/Hadoop.
  • Knowledge of deep learning systems e.g. Keras, Tensorflow, Theano.
  • Knowledge of NoSQL databases e.g. MongoDB, Cassandra.
  • Impressive publication record in the top scientific journals.

Required Education: - Bachelor's Degree Preferred Education: - Master's Degree Eligibility Requirements: -

  • Excellent written and verbal communication and presentation skills
  • Willingness to travel when required

Is Extensive Time Away From Home Required? - NO

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