Job description

482776BR

Why Kyndryl

We design, build, manage and modernize the mission-critical technology systems that the world depends on every day. Our people are at the center, discovering, co-creating, and strengthening. We push ourselves and each other to seek better, to go further, and we carry this energy to our customers. In October 2020, IBM announced it's intention to separate the IT Infrastructure Services unit of its Global Technology Services division into a new, separate public company, creating two industry-leading companies - IBM and Kyndryl. The spin-off is expected to be completed by the end of 2021. To find out more about Kyndryl, including information relating to privacy, please visit Kyndryl.com.

Please be aware Kyndryl will continue to use some IBM systems for a certain period after spin-off. This means when you sign up to either the IBM or Kyndryl candidate portal, you will have the benefit of being able to see and apply for IBM and Kyndryl jobs and to access information about IBM and Kyndryl jobs you have applied to, for a limited period from either candidate portal. If you have already signed up as a candidate on IBM’s portal, please continue to use this account to access IBM and Kyndryl jobs.

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 knowledgeof applied methods in statistics, machine learning and artificial intelligence•Goodunderstanding 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 •Gooddata 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.

Required Technical and Professional Expertise

Experience with open-source distributed data processing & ML frameworks•Experience working in a Linux environment•Experience working within adevelopment 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•Strongexperience 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

Preferred Technical and Professional Experience

  • Python programmer
  • DevOps - CD/CI Implementations
  • Data Science skills - Model development, Training

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

Data Science

Role ( Job Role )

Data Scientist

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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