SR. DATA SCIENTIST (NLP)

Job Description

In this job, you will:
You will help our clients solve real-world problems by tracing the data-to-insights lifecycle:
Understand business problems, making sense of the data landscape & footprint, performing a combination of exploratory, Machine Learning & Advanced Analytics on textual data
Create, experiment with and deliver innovative solutions in a consultative mindset to client stakeholders using textual data
Guide team of analysts to offer exceptional solutions to clients, across domains
To join us, you should:
Have a grasp of business strategy with an ability to relate to challenges faced by senior business.
Have excellent relationship building and organizational skills.
Enjoy working in a fast-changing field
You must have:
Background in Computer Science/Computer Applications or any quantitative discipline
(Statistics, Mathematics, Economics/Operations Research etc.) from a reputed institute.
4-7 years of experience using analytical tools/languages like Python on large-scale data
Must have Semantic model & NER experience.
Experience working with pre-trained models, awareness of state-of-art in embeddings and applicability for use cases.
Experience on Deep Learning for Image processing, Video analytics will be a plus
Must have strong experience in NLP/NLG/NLU applications using any popular Deep learning frameworks like Open CV, PyTorch, Tensor Flow, BERT, and GPT (or similar models).
Demonstrated ability to engage with client stakeholders at multiple levels and provide.
Consultative solutions across different domains
Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic
Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining etc.
Strong understanding of integrating NLP models into business workflows. Prospect should have exposure to project initiation to business impact creation in at least one project.
Experience in productionizing & retraining models
Ability to guide and mentor teams of associates on solution development and approaches.
Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning
Coding skills in one or more programming languages such as Python, Scala, Java, C, C++
Expert / high level of understanding on language semantic concepts & data standardization.
Proven track record of successful models and practical implementation
Hands-on experience with popular ML frameworks such as TensorFlow
Experience with application development practices at scale, from problem definition to deployment.
Familiarity with any Cloud services such as AWS, Sage Maker etc. is considered a plus.
Develop and apply Statistical Modelling techniques (e.g., Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications
Knowledge in Machine Learning techniques in entity resolution, common speech products or text search domain
About us
We solve the most challenging business problems with compelling data stories using insights and a low code analytics platform. We consult and deliver solutions to transform organizations through data-driven decision making.

We told a global computer manufacturer to “focus on order delivery time. It’ll increase NPS by 18% with incremental revenue of >$50M”. We advised a US-based cold storage player to optimize warehouse turnaround times by 16%. We predicted mosquito release points for a foundation to cut down process times from 3 weeks to 2 hours in a mission to protect 100M lives from malaria in 5 years. We told a national poultry firm to “use coir as litter material. It reduces mortality. It’ll save you $1.7m”.

We are good at what we do, which is why we are growing by 40% every year. We are looking out for people who are passionate about data, are interested in solving complex business problems and can delight our clients by delivering value.

We offer you
First-hand experience with C-Suite focused business advisory in the space of data & analytics.
An opportunity to make deep industry connects with data science experts, client teams, domain champions and be part of the change that is transforming the business environment today
A chance to try things, take risks.
Meaningful problems you’ll be proud of solving.
People you will be comfortable working with.
Key metrics for you will be
Timely delivery and quality of delivery
Customer Satisfaction on engagements
To know more about us visit Gramener Website and Gramener Blog.