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1 day ago
We are seeking a highly skilled Senior Data Scientist to join our team. As a key member of our organization, you will play a pivotal role in helping clients solve real-world problems by tracing the data-to-insights lifecycle.
Your primary responsibilities will include understanding business problems, making sense of the data landscape and footprint, performing a combination of exploratory, Machine Learning & Advanced Analytics on textual data.
- Understanding business problems and making sense of the data landscape and footprint.
- Performing a combination of exploratory, Machine Learning & Advanced Analytics on textual data.
- Creating, experimenting with, and delivering innovative solutions in a consultative mindset to client stakeholders.
To succeed in this role, you should have a strong background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research, etc.) from a reputed institute. You should also have total 7+ years of experience using analytical tools/languages like Python on large-scale data.
Apart from that, must have Semantic model & NER experience, as well as experience working with pre-trained models, awareness of state-of-the-art in embeddings, and applicability for use cases.
Bonus points if you have used Azure services for ML & GenAI projects, but not required. A demonstrated ability to engage with client stakeholders and possess a deep knowledge of techniques such as Linear Regression, Gradient Descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining is essential.
A strong understanding of integrating NLP models into business workflows is crucial. Exposure to project initiation to business impact creation in at least one project, and a broad knowledge of fundamentals and state-of-the-art in NLP and machine learning is necessary too.
Coding skills in one or more programming languages such as Python, SQL are mandatory, as well as hands-on experience with popular ML frameworks like TensorFlow. Expert/high level of understanding of language semantic concepts & data standardization is a must.
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