Senior Data Scientist
AI summary
Vennote Technologies Limited is hiring a Senior Data Scientist in Lagos to build descriptive, predictive, and prescriptive analytical models and develop chatbot solutions using NLP and machine learning. The role involves working with BigQuery, Python, SQL, Google Cloud, and data visualization tools to support product teams. Candidates should have over 7 years of experience and a degree in Computer Science or a related field.
- Senior-level role requiring 7+ years of data science experience
- Focus on chatbot development using NLP, Rasa, Dialogflow, or Amazon Lex
- Hands-on work with BigQuery, Python, SQL, and Google Cloud Platform
- Full-time position based in Lagos, Nigeria
- Apply by sending CV to Faith.onokhoikhua@vennote.com
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required7+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in cleaning, factory, armazemThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Senior Data Scientist evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Vennote Technologies Limited and the role in Not specified.
- Add concrete examples related to cleaning, factory, armazem, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from MyJobMag Nigeria; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- MyJobMag Nigeria
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Senior Data Scientist role in cleaning, factory?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Vennote Technologies Limited before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
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 p...
Senior Data Scientist
Job Type: Full Time
7 years
Location: Lagos
Job Field: Data, Business Analysis and AI
We are looking for you if you:
Have
building Descriptive/Predictive/Prescriptive analytical data model.
Have
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
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
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
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)
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
Holding a degree in software engineering, Computer Science, or similar field
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
Check how your CV aligns with this job
Method of Application
- If you want to join a team of global leaders in their field, send your CV to
- Faith.onokhoikhua@vennote.com
- Build your CV for free.
- Download in different templates.
Qualifications
BA/BSc/HND
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:
- A Data Scientist with over 7 years+