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Kyndryl, Inc. Data Scientist in Bangalore, India

Your Role and Responsibilities

  • Master's degree in a quantitative field such as computer science, applied mathematics, statistics, physics, engineering or finance

  • Overall Data Science, Statistical Analysis, Data Analytics & Machine Learning experience of 2-3 + years

  • Good knowledge of applied methods in statistics, machine learning and artificial intelligence

  • Good understanding of various AI/ML technology stacks including Cloud Based services

  • Experience in natural language processing, text analytics, data mining, text processing or other AI subdomains and techniques

  • Good data management and statistical modelling skills

  • Experience with Scala/Python, Scikit-learn, TensorFlow, Keras, NLTK, PyTorch etc

  • Experience with leveraging best practices conducting advanced analytics projects

  • Experience in distributed & scalable ML development. Good PoV on TinyML and Embedded AI/ML

  • Apply data analysis, data mining and data engineering to present data clearly and develop experiments (A/B testing)

  • Work with development teams to build tools for repeatable data science tasks that will accelerate and automate data scientist workflows

  • Ability to mine and analyze data from various sources to solve clients problems within multiple domains like marketing, HR, supply chain, operations, sales etc

  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

  • Coding knowledge and experience with several languages: C, C++, Java,

  • JavaScript, etc.

  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, tableau, power BI, looker etc.

Required Technical and Professional Expertise

  • Master's degree in a quantitative field such as computer science, applied mathematics, statistics, physics, engineering or finance

  • Overall Data Science, Statistical Analysis, Data Analytics & Machine Learning experience of 2-3 + years

  • Good knowledge of applied methods in statistics, machine learning and artificial intelligence

  • Good understanding of various AI/ML technology stacks including Cloud Based services

  • Experience in natural language processing, text analytics, data mining, text processing or other AI subdomains and techniques

  • Good data management and statistical modelling skills

  • Experience with Scala/Python, Scikit-learn, TensorFlow, Keras, NLTK, PyTorch etc

  • Experience with leveraging best practices conducting advanced analytics projects

  • Experience in distributed & scalable ML development. Good PoV on TinyML and Embedded AI/ML

  • Apply data analysis, data mining and data engineering to present data clearly and develop experiments (A/B testing)

  • Work with development teams to build tools for repeatable data science tasks that will accelerate and automate data scientist workflows

  • Ability to mine and analyze data from various sources to solve clients problems within multiple domains like marketing, HR, supply chain, operations, sales etc

  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

  • Coding knowledge and experience with several languages: C, C++, Java,

  • JavaScript, etc.

  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, tableau, power BI, looker etc.

Preferred Technical and Professional Experience

  • Experience with open-source distributed data processing & ML frameworks

  • Experience working in a Linux environment

  • Experience working within a development team setup which is building product/services

  • Experience with presenting complex data science processes/information to non-data scientists

  • Experience with Information Retrieval and relevant tools such as Lucene, Elasticsearch, Solr

  • Prioritization skills; ability to manage ad-hoc requests in parallel with ongoing projects

  • Strong experience in both classical ML modeling approaches and Deep learning based model approaches

  • Data analysis, reporting, visualization expertise and experience with tools such as Tableau, Alteryx, Python and R at scale

  • Good NLP knowledge and cloud experience preferred

  • Passion, Drive and Can-do attitude

  • Good communication skills

  • Willingness to thrive in ambiguous environments

Required Education Bachelor's Degree

Preferred Education Master's Degree

Country/Region India

State / Province KARNATAKA

City / Township / Village Bangalore

Being You @ Kyndryl

Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Other things to know

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience.

For additional information about location requirements, please discuss with the recruiter following submission of your application.

Primary job category Software Development & Support

Role ( Job Role ) Software Developer

Employment Type Full-Time

Contract type Regular

Position Type Early Professional

Travel Required No Travel

Company (Y030) Kyndryl Solutions Private Limited

Is this role a commissionable/sales incentive based position? No

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