Senior Data Scientist at Vennote Technologies Limited

Job Description

• Are you an experienced Data Scientist and Analyst with strong technical skills in chatbot services.
• Do you have experience building descriptive, Predictive and Prescriptive analytical data model, and have the ability to innovate, multi-task, and work in an agile environment?
• Then, join our team for Product Development and Project Implementation in Lagos Nigeria.
• Vennote Technologies is building a next-generation Natural Language Understanding, Machine Learning and Artificial Intelligence products with a focus on Multimodal and Cross-Channel User Interfaces (phone, web, mobile, etc.)
• This is a Contract Hybrid position.
• The position requires individuals who enjoy challenges, prioritize, meet deadlines, and have a collaborative work ethic and teamwork spirit leading our team of developers, Data Scientists, NLP Engineers, Speech Scientists and conversational experts, UI/UX Designers, Solutions Architect, Software Developers, Business Analysts, DevSecOps and IT Infrastructure engineers and other experts.

We have:

• A state-of-the-art, highly innovative Product platform that we continuously expand/improve to maintain our leadership
• A team of seasoned experts to collaborate with.
• An open mind to new technologies, methodologies, challenges, and innovation.

Requirements
We are looking for you if you:

• Have experience building Descriptive/Predictive/Prescriptive analytical data model.
• 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
• Have extensive experience extracting meaningful features from the data that can be used by the machine learning models to improve chatbot performance.
• Can select machine learning algorithms (e.g., recurrent neural networks, transformers) that are well-suited for natural language processing tasks.
• Can develop and train the chatbot models using prepared data and can tune hyperparameters to optimize performance.
• Have experience assessing chatbot's ability to understand user queries, provide relevant responses, and engage in meaningful conversations.
• Can work with BAs / UX / Product Owner to complete the writing of user stories and documenting analytics requirements
• Validate incoming data on development and production tables as testing takes place.
• Write SQL queries in BigQuery to extract the data required for each feature.
• Explore data analysis in Python / SQL
• Create scheduled queries in BigQuery to continuously index data
• Connect data sources to a Data Studio dashboard and create visualizations of key data
• Monitor dashboards and providing observations / insight back to the product team
• Monitor Google cloud metrics
• Build ETL pipelines to import relevant data into the data warehouse
• Work closely with project management teams to successfully monitor progress of initiatives and deliveries
• Provide Solution document, technical document and detailed specifications for proposed solutions
• 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.
• Demonstrate passion, excitement, and real interest in what we do while being respectful of others and fun to work with
• Get involved in all stages of ML lifecycle

You are:

• Holding a Degree in Software Engineering, Computer Science, or similar field
• A Data Scientist with over 7 years+ experience in building Descriptive/ Predictive/ Prescriptive analytical data models.
• Advanced proficiency in Python or R, SQL, Jupyter, Pandas, Dask.
• 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)
• Experience with popular chatbot frameworks like Rasa, Dialogflow, or Amazon Lex
• Proficiency in techniques like tokenization, stemming, lemmatization, part-of-speech tagging, named entity recognition, and sentiment analysis.
• Have core competencies in Google data Studio and Google Cloud platforms like Big Query, PubSub, Data flow
• Positive outlook in meeting challenges and working to a high level
• Highly knowledgeable and efficient in standards and documentation
• Self-motivated, proactive with demonstrated creative and critical thinking capabilities
• Quick to adjust inside a rapid-changing environment

We Offer

• An attractive remuneration package
• Comprehensive health Insurance plan
• Continuous learning/training in new technologies and products
• A great environment to work in, excel and progress professionally.