Data Scientist

at Srijan Technologies

Data Scientist

Srijan Technologies

Company

Home

Data Scientist

at Srijan Technologies

Posted by Adyasha Satpathy

3 - 8 yrs

₹10L - ₹25L / yr (ESOP available)

Remote only

Skills

Data Science

Machine Learning (ML)

R Programming

Python

Deep Learning

Clustering

Job Responsibilities:-

Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
Experience working with big data systems and big data concepts.
Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
Strong understanding of text pre-processing and normalization techniques, such as tokenization,
POS tagging and parsing and how they work at a low level.
Excellent problem solving skills.
Strong verbal and written communication skills
Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
Practical experience in using NLP related techniques and algorithms
Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment

Job Responsibilities:-

Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
Experience working with big data systems and big data concepts.
Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
Strong understanding of text pre-processing and normalization techniques, such as tokenization,
POS tagging and parsing and how they work at a low level.
Excellent problem solving skills.
Strong verbal and written communication skills
Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
Practical experience in using NLP related techniques and algorithms
Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment

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About Srijan Technologies

Founded :

2002

Type :

Services

Size :

100-1000

Stage :

Profitable

About

Empowering enterprises in modernizing their digital systems Srijan has been leading the change for the last 15+ years. A global leader in open-source technologies, our industry forte but not limited to, is media, travel, healthcare, telecom, retail, pharmaceutical, eCommerce and financial sector. Staffed by a team of over 300+ engineers, our teams are based out of India, USA, Japan, Philippines, United Kingdom, Australia, and Germany. With 75+ Acquia Certified Drupal enginers, we are among the top 3 certified companies globally in Drupal community. Our diverse clientele includes Estee Lauder, FlightCentre, Hindawi, Vodafone, Crain, Diversey, PTT Global, and names in Fortune 500. We are an Advanced AWS consulting partner, Acquia preferred partner, and Apigee consulting partner.

Vidhie Gupta

Ashish Rao

Shruti Gupta

PriyaSaini

Devendra Singh

Adyasha Satpathy

Company social profiles

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