Vennote Technologies Limited is a well-established ICT company with experience spanning over two decades in enterprise solutions using best of breed products in very large IT deployments around the world. Vennote Technologies Limited has certified Skilled Technical resources delivering world class implementation and support services through the use of best practices.

We are recruiting to fill the position below:

Job Title: Senior Data Scientist

Location: Lagos
Job type: Full-tim

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.

Application Closing Date
Not Specified.