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Data Scientist

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Onsite

Data Scientist

Tech Ringers

Data Scientist

Skills

Big DataDeep LearningPythonpandasKerasMachine LearningAINLP / Natural Language ProcessingHadoop

8 years ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


Job highlights

  • Experience of working on a project end - to - end: problem scoping,data gathering,EDA,visualizations,modelling and insights .
  • Working experience and statistical clarity in traditional algorithms like time series modelling,dimensionality reduction,SEM,GLM,GLMM,clustering and related areas .

Tech Ringers Manning Solutions is one of the Unique and approachable Staffing solutions Provider of its own flavour focused to cater recuritment needs across all locations in Pan India. We are dedicated and committed to serve both - the companies and the professionals with a comprehensive range of services including Staffing , Recruitment , IT Support functionalities across IT / BPO / Pharma / Health Care Verticals. We are armed with expertise Recruitment dynamics , periodical study of the staffing pro

Job Summary

Job Description:

Data Scientists with the capability to perform independent statistical and machine learning research / projects. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML (Artificial Intelligence & Machine Learning) space. Individuals should be able to break down business problems into smaller components and implement ML approaches to empower the end business decisions

Key Responsibilities

8+ years of experience in over all

Intermediate to expert level proficiency and thorough understanding of at least one of the upcoming technologies like deep learning , NLP , image processing , recommender systems

NLTK & OpenCV experience is mandatory

Intermediate to expert level proficiency in statistical / ML predictive techniques such as regression , Bayesian methods , tree - based learners , SVM , RF , and XGBOOST etc

Working experience and statistical clarity in traditional algorithms like time series modelling , dimensionality reduction , SEM , GLM , GLMM , clustering and related areas

Experience of working on a project end - to - end: problem scoping , data gathering , EDA , visualizations , modelling and insights

Collaborate with business and data owners to formulate problems whose solution would be impactful to the business

Strong hands on skill in Python using libraries like NLTK , SkLearn , Keras , Pandas , Matplotlib , Seaborn etc

Good to have Experience working with large data sets and tools like MapReduce , Hadoop , Hive , etc and programming algorithms that are currently not available in

Job Profile

Job Location: New York , NYC , NY , United States.

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