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Data Scientist/ML Engineer - India

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Onsite

Data Scientist/ML Engineer - India

Pursuit Software Development

Data Scientist/ML Engineer - India

Skills

SQL QueriesDeep LearningData MiningPythonProduct ManagementpandasKerasTensorFlowNeo4jData AnalysisMachine LearningNLP / Natural Language Processing

2 years ago

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Important information


Contract type:

Permanent

Location:

Kolkata, West Bengal, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job highlights

  • . Bachelors / Master s / research degree in applied Statistics,Computer Science with major in Machine Learning,Computational linguistics,or Similar field.
  • Required Skills . Advanced proficiency with : Python,Pandas,SQL,Seaborn / Neo4j,scikit-learn,Tensorflow,Keras,Deep Learning,NLP,Bayesian,etc

Bachelors/Master s/research degree in applied Statistics, Computer Science with major in Machine Learning, Computational linguistics, or Similar field.

Skills, Role Responsibilities

Required Skills

  • Advanced proficiency with : Python, Pandas, SQL, Seaborn/Neo4j, scikit-learn, Tensorflow, Keras, Deep Learning, NLP, Bayesian, etc.
  • Superb analytical and problem-solving abilities.

Responsibilities

  • Data Scientist/ ML Engineers are responsible to work closely with data engineers to develop scalable solutions for business.
  • Work on designing and developing new- generation machine learning tool and technologies to offer critical competitive advantage to business and industry.
  • Research and develop statistical learning models for data analysis
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
  • Keep up to date with latest technology trends
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design
  • Should have background in data mining and statistical analysis
  • Able to understand various data structures and common methods in data transformation
  • Excellent pattern recognition and predictive Modeling skills.

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