Senior Data Scientist - #965750
foundit
Date: 2 weeks ago
City: Bengaluru, Karnataka
Contract type: Full time
Job Details
We are currently seeking a talented Senior Data Scientist with 2-6 years of
experience in the field. The ideal candidate will demonstrate proficiency in Machine Learning,
Deep Learning, and Natural Language Processing, coupled with robust coding abilities in Python.
Educational Qualifications:
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a
related field from a top-tier engineering college is required.
Must have Technical Skills:
Proficient in cutting-edge Natural Language Processing/Generation, with a focus on
vector embeddings.
Strong programming skills in Python and Java for data analysis and model development.
Solid understanding and practical experience with machine learning techniques and
libraries such as TensorFlow, PyTorch, and scikit-learn.
Experience with both SQL (MySQL, PostgreSQL, BigQuery, Redshift, etc.) and No-SQL
(MongoDB, Aerospike, etc.) databases.
Sound grasp of statistical concepts, hypothesis testing, and experimental design.
Familiarity with deep learning frameworks and algorithms including Facebook's
DeepText, FastText, RoBERTa, Word2Vec, RNN, CNN, R-CNN, LSTM, XGBoost, GRU,
Sequence-to-Sequence, and Transformer-based architectures (e.g., Decoder-Decoder,
Encoder-Decoder, etc.).
Desirable experience with cloud platforms such as Azure, AWS, or Google Cloud, and
Vector DBs like Milvus, Weaviate, and Qdrant.
Bonus hands-on knowledge of ElasticSearch.
Key Responsibilities:
Conduct exploratory data analysis to identify trends, patterns, and insights from various
data sources.
Develop and deploy cutting-edge NLP models to extract insights from unstructured data
sources.
Design and implement robust search algorithms and recommendation systems to
enhance user experience and engagement.
Collaborate with cross-functional teams (Business, Product, DevOps, and Engineering)
to gather requirements, analyze data, and integrate models into production systems.
Stay updated with the latest advancements in NLP, machine learning, and
recommendation systems to drive innovation.
Effectively communicate findings and results to both technical and non-technical
stakeholders.
Ensure data security, quality, and compliance with relevant regulations.
Provide mentorship and guidance to junior team members.
Participate in the evaluation and selection of appropriate tools, technologies, and
platforms for data science projects.
We are currently seeking a talented Senior Data Scientist with 2-6 years of
experience in the field. The ideal candidate will demonstrate proficiency in Machine Learning,
Deep Learning, and Natural Language Processing, coupled with robust coding abilities in Python.
Educational Qualifications:
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a
related field from a top-tier engineering college is required.
Must have Technical Skills:
Proficient in cutting-edge Natural Language Processing/Generation, with a focus on
vector embeddings.
Strong programming skills in Python and Java for data analysis and model development.
Solid understanding and practical experience with machine learning techniques and
libraries such as TensorFlow, PyTorch, and scikit-learn.
Experience with both SQL (MySQL, PostgreSQL, BigQuery, Redshift, etc.) and No-SQL
(MongoDB, Aerospike, etc.) databases.
Sound grasp of statistical concepts, hypothesis testing, and experimental design.
Familiarity with deep learning frameworks and algorithms including Facebook's
DeepText, FastText, RoBERTa, Word2Vec, RNN, CNN, R-CNN, LSTM, XGBoost, GRU,
Sequence-to-Sequence, and Transformer-based architectures (e.g., Decoder-Decoder,
Encoder-Decoder, etc.).
Desirable experience with cloud platforms such as Azure, AWS, or Google Cloud, and
Vector DBs like Milvus, Weaviate, and Qdrant.
Bonus hands-on knowledge of ElasticSearch.
Key Responsibilities:
Conduct exploratory data analysis to identify trends, patterns, and insights from various
data sources.
Develop and deploy cutting-edge NLP models to extract insights from unstructured data
sources.
Design and implement robust search algorithms and recommendation systems to
enhance user experience and engagement.
Collaborate with cross-functional teams (Business, Product, DevOps, and Engineering)
to gather requirements, analyze data, and integrate models into production systems.
Stay updated with the latest advancements in NLP, machine learning, and
recommendation systems to drive innovation.
Effectively communicate findings and results to both technical and non-technical
stakeholders.
Ensure data security, quality, and compliance with relevant regulations.
Provide mentorship and guidance to junior team members.
Participate in the evaluation and selection of appropriate tools, technologies, and
platforms for data science projects.
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