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Data Scientist

₹5L – ₹12L • No equity
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As a Data Scientist in our organization, you will be responsible for researching and building machine learning and natural language processing applications to extend Stylabs' various platforms. It includes researching and developing models, algorithms, and applications; analyzing raw source data and derived data; presenting findings; and building tools and analyses for new and existing products.


1. Develop an understanding of the Stylabs personalization platform and proprietary datasets.
2. Use your machine learning expertise to research and recommend the best approaches to solve our technology and business problems.
3. Design, implement, and validate your solutions in Apache Spark, Apache Hive, using Scala or Python on cloud architecture.
4. Work with our Engineering teams to integrate your solutions into the Stylabs platform.
5. Participate fully in our collaborative approach to research and application projects.


1. A Ph.D., (or Master’s degree plus at least 1 years’ relevant experience), in Computer Science, Statistics or Mathematics.
2. Experience with core skill sets of Text Mining, Natural Language Processing, Entity Extraction, Relationship Extraction, and Machine Learning, Information.
3. Experience with Open source NLP libraries e.g. Corenlp, Opennlp, mallet, etc.
4. Good Knowledge of Elastic Search/Apache Solr, Lucene will be plus
5. Must have a strong combination of programming experience in building an end to end applications in Java/Python
6. Retrieval, Recommendation, Image Vision Systems.
7. Fluency in programming.
8. Experience with large data sets.
9. Strong understanding of statistics and modeling techniques.
10. Desire to work in a highly collaborative environment.
11. Research experience and coursework in Machine Learning.
12. Experience in Machine Learning and Deep Learning.


1. Experience with distributed computing, such as Hadoop, Spark, or related technologies
2. Familiarity with SQL, Scala, Python, NodeJS or Java.
3. Experience with Mathematical optimization, Control theory, and analytics.

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