Data Science Specialist Ai Ml Nlp @ Robert Bosch

Roles & Responsibilities : Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models.

Good knowledge of advanced statistical methods. Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery, and viewing experiences to identify critical product insights.

Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits

Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding

Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery, and viewing experiences to identify critical product insights.

Proactively develop new metrics and studies to quantify the value of different aspects of product.

Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization.

Translate analytic insights into concrete, actionable recommendations for business or product improvement.

Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams.

Define and deploy best practices in Machine Learning & MLOps, mentor and teach colleagues.

Partner closely with product and engineering leaders throughout the lifecycle of project

Education and Work Experience Requirements:

5 to 8 years of experience as Data Scientist

Proven track record and experience with statistical modeling/data mining algorithms such as

Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc

Machine learning, deep learning, graph mining.

DOE, Forecasting, Segmentation, Uncertainty Analysis etc.

Data Mining i. e. Text Mining, Classification Methods SVM, NN, etc

Vector Space model for Unstructured Text

Sentiment Analysis, Association Mining, Semantic Analysis

Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model

Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits

Expertise with one of the following scripting languages:

Python, R, Tensorflow, Keras, Pytorch

OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs

Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks.

Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on.

Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks.

Tech savy and willing to work with open-Source Tools

Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently.

Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development.

Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.

Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API

Prior experience working on Mobility or Healthcare domain will be a plus