<p><strong>We are looking for you if you:</strong></p><ul><li>Have experience building Descriptive/Predictive/Prescriptive analytical data model.</li><li>Have experience identifying, sourcing, cleaning and preparing appropriate datasets that can be used to train the chatbot, such as conversational data, product manuals, FAQs, and customer support transcripts</li><li>Have extensive experience extracting meaningful features from the data that can be used by the machine learning models to improve chatbot performance.</li><li>Can select machine learning algorithms e.g., recurrent neural networks, transformers that are well-suited for natural language processing tasks.&nbsp;</li><li>Can develop and train the chatbot models using prepared data and can tune hyperparameters to optimize performance.</li><li>Have experience assessing chatbot&#39;s ability to understand user queries, provide relevant responses, and engage in meaningful conversations.</li><li>Can work with BAs / UX / Product Owner to complete the writing of user stories and documenting analytics requirements&nbsp;</li><li>Validate incoming data on development and production tables as testing takes place.&nbsp;</li><li>Write SQL queries in BigQuery to extract the data required for each feature.&nbsp;</li><li>Explore data analysis in Python / SQL&nbsp;</li><li>Create scheduled queries in BigQuery to continuously index data&nbsp;</li><li>Connect data sources to a Data Studio dashboard and create visualizations of key data&nbsp;</li><li>Monitor dashboards and providing observations / insight back to the product team&nbsp;</li><li>Monitor Google cloud metrics&nbsp;</li><li>Build ETL pipelines to import relevant data into the data warehouse&nbsp;</li><li>Work closely with project management teams to successfully monitor progress of initiatives and deliveries&nbsp;</li><li>Provide Solution document, technical document and detailed specifications for proposed solutions&nbsp;</li><li>Have an agile product mentality balancing between finding solutions that deliver high precision/recall, over simpler approaches that can give value to customers in shorter intervals.</li><li>Demonstrate passion, excitement, and real interest in what we do while being respectful of others and fun to work with</li><li>Get involved in all stages of ML lifecycle</li></ul><p><strong>&nbsp;You are:</strong></p><ul><li>A Data Scientist with over 10 to 12 years in building Descriptive/Predictive/Prescriptive analytical data models.</li><li>Advanced proficiency in Python or R, SQL, Jupyter, Pandas, Dask.</li><li>Deep understanding of machine learning algorithms, both supervised, unsupervised learning and deep learning linear regression, decision trees, random forests, clustering, dimensionality reduction, neural networks, recurrent neural networks, transformers etc</li><li>Experience with popular chatbot frameworks like Rasa, Dialogflow, or Amazon Lex</li><li>Proficiency in techniques like tokenization, stemming, lemmatization, part-of-speech tagging, named entity recognition, and sentiment analysis.</li><li>Have core competencies in Google data Studio and Google Cloud platforms like Big Query, PubSub, Data flow</li><li>Holding a degree in software engineering, Computer Science, or similar field</li><li>Positive outlook in meeting challenges and working to a high level&nbsp;</li><li>Highly knowledgeable and efficient in standards and documentation</li><li>Self-motivated, proactive with demonstrated creative and critical thinking capabilities&nbsp;</li><li>Quick to adjust inside a rapid-changing environment</li></ul><p><strong>We offer:</strong></p><ul><li>An attractive remuneration package</li><li>Comprehensive health Insurance plan</li><li>Continuous learning/training in new technologies and products</li><li>A great environment to work in, excel and progress professionally</li></ul>