Data Science Instructor
AI job insight
Astrotec Limited is hiring a Data Science Instructor in Abeokuta, Ogun State, to deliver hands-on training in data analytics and data science. The role involves teaching tools such as Excel, SQL, Power BI, and Python, guiding students through real-world projects, and updating course content. Full-time role, entry-level, requiring 2 years of practical experience and a degree.
- Full-time instructor role based in Abeokuta, Ogun State, Nigeria
- Teach Excel, SQL, Power BI, Python, and data visualization to students
- Entry-level position requiring 2 years of practical experience
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Astrotec Limited is hiring a Data Science Instructor in Abeokuta, Ogun State, to deliver hands-on training in data analytics and data science. The role involves teaching tools such as Excel, SQL, Power BI, and Python, guiding students through real-world projects, and updating course content. Full-time role, entry-level, requiring 2 years of practical experience and a degree.
- Full-time instructor role based in Abeokuta, Ogun State, Nigeria
- Teach Excel, SQL, Power BI, Python, and data visualization to students
- Entry-level position requiring 2 years of practical experience
- Salary range: NGN 70,000 - 150,000 (negotiable)
- Working hours: 8 AM to 5 PM, Monday schedule
- Requires a degree in Data Science, Statistics, Computer Science, or related field
AI job guide
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AI salary guide
Source salary availableThe source lists NGN 70,000 - 150,000 Negotiable. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- Required2+ 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, no_experience, Data Science InstructorThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in AbeokutaThe 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 Data Science Instructor evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Early Code Ltd and the role in Abeokuta.
- Add concrete examples related to cleaning, no_experience, Data Science Instructor, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Jobberman Nigeria; avoid sending documents to unofficial contacts or copied links.
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Source and safety check
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- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this Data Science Instructor role in cleaning, no_experience?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Abeokuta under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Early Code Ltd 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
A
Data Science Instructor
Astrotec Limited
Research, Teaching & Training
Yesterday
Easy apply
New
Abeokuta & Ogun State
Full Time
Education
NGN
70,000 - 150,000
Negotiable
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Job summary
We are seeking a skilled Data Science Instructor to join our training team. The candidate will be responsible for delivering practical training in data analytics and data science, guiding students through hands-on projects, and equipping them with the skills required to collect, analyze, and visualize meaningful insights from data.
Min Qualification:
Degree
Experience Level:
Entry level
Experience Length:
2 years
Language Requirement:
English
Work Type:
Full Time
Working Hours:
8 to 5
Applicant Location:
Nigeria
Job descriptions & requirements
Key Accountabilities
- Deliver practical and engaging lessons in Data Analytics and Data Science.
- Teach data analysis, data cleaning, data visualization, and statistical concepts.
- Train students on tools such as Microsoft Excel, SQL, Power BI, Python, and relevant data science libraries.
- Teach Python programming for data analysis and data science.
- Guide students through real-world datasets, analytical projects, and case studies.
- Teach data visualization, dashboard development, and reporting.
- Introduce students to basic machine learning concepts and techniques.
- Develop lesson plans, course materials, assignments, and practical exercises.
- Assess students through assignments, tests, and practical projects.
- Monitor students’ progress and provide constructive feedback.
- Guide students in building data analytics and data science projects for their portfolios.
- Keep course content updated with current data analytics, data science tools, technologies, and industry trends.
- Maintain a professional, supportive, and engaging learning environment.
Requirements
- Diploma or relevant professional qualification in Data Science, Data Analytics, Statistics, Computer Science, Mathematics, Economics, Information Technology, or a related field.
- Strong practical experience in Data Analytics and/or Data Science.
- Proficiency in Microsoft Excel, SQL, Power BI, and Python.
- Good understanding of statistics, data analysis, and data visualization.
- Experience with Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
- Knowledge of databases and data management.
- Understanding of machine learning concepts is an added advantage.
- Ability to work with real-world datasets and derive meaningful insights.
- Strong analytical and problem-solving abilities.
- Excellent communication and presentation skills.
- Ability to explain technical concepts clearly to students at different skill levels.
- Previous teaching, training, mentoring, or industry experience is an added advantage.
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