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10Alytics

Senior Data Associate - Data Science

10Alytics

Uganda Full time IT & Software
Posted: Jul 30, 2026 4 days ago Deadline: Aug 13, 2026 13 views

Job Description

 

Senior Data Associate – Data Science Jobs at 10Alytics (Remote)

Vacancy Title: Senior Data Associate – Data Science
Job Type: Full-Time
Industry: Education & Training
Category: Computer & IT | Data Science | Education | Business Operations | Artificial Intelligence
Organisation: 10Alytics
Duty Station: Remote
Application Deadline: Thursday, 13th August 2026
Salary: Not Disclosed
About 10Alytics
10Alytics is an innovative technology education company committed to equipping professionals with practical, industry-relevant digital skills. Through expert-led training, mentorship, and hands-on learning experiences, the company prepares learners for successful careers in Data Science, Artificial Intelligence, Machine Learning, Data Analytics, Business Intelligence, and other emerging technology fields. By combining technical excellence with real-world application, 10Alytics empowers learners and organizations to thrive in today's data-driven economy.
Job Summary
10Alytics is seeking an experienced Senior Data Associate – Data Science to lead learning delivery, mentor learners, and provide technical leadership in Data Science. The successful candidate will facilitate engaging training sessions, review learner projects, support curriculum development, and ensure participants acquire practical, industry-ready skills in data science, machine learning, statistics, and artificial intelligence.
This fully remote role is ideal for experienced Data Science professionals who are passionate about teaching, mentoring, and helping aspiring data professionals build successful careers.
Key Responsibilities
The successful candidate will:
1. Learning Delivery
  • Facilitate engaging Data Science training sessions.
  • Deliver practical and interactive online classes.
  • Explain complex concepts in a simple and understandable manner.
  • Support learners throughout their learning journey.
  • Encourage collaborative and interactive learning.
2. Learner Mentorship
  • Mentor students throughout the program.
  • Provide technical guidance on assignments.
  • Review learner projects and capstone work.
  • Offer constructive feedback for continuous improvement.
  • Support career development and professional growth.
3. Curriculum Development
  • Review existing course materials.
  • Recommend improvements to learning content.
  • Update curriculum to align with industry trends.
  • Develop practical learning resources.
  • Ensure course content remains relevant and current.
4. Assessment and Quality Assurance
  • Evaluate learner assessments.
  • Grade projects and assignments.
  • Monitor learner progress.
  • Maintain high academic standards.
  • Ensure consistency in assessment processes.
5. Technical Leadership
  • Share industry best practices.
  • Provide expert guidance on Data Science methodologies.
  • Support adoption of emerging technologies.
  • Promote continuous learning within the program.
  • Enhance learner engagement through practical examples.
6. Program Support
  • Collaborate with instructors and technical teams.
  • Support learner success initiatives.
  • Participate in program improvement activities.
  • Resolve learner technical challenges.
  • Contribute to overall program growth.
Required Qualifications
Applicants should possess:
  • Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, Artificial Intelligence, Computer Engineering, or a related discipline.
  • Professional certifications in Data Science, Machine Learning, Artificial Intelligence, Cloud Computing, or Analytics are an added advantage.
Required Experience
The ideal candidate should have:
  • 3–4 years of professional experience in Data Science or a related field.
  • Experience delivering technical training or mentoring learners.
  • Experience working with real-world data science projects.
  • Experience developing predictive models and analytical solutions.
  • Practical knowledge of modern data science tools and technologies.
Technical Skills and Competencies
Data Science Skills
  • Data Analysis
  • Data Mining
  • Data Visualization
  • Predictive Analytics
  • Statistical Analysis
  • Machine Learning
  • Deep Learning
  • Artificial Intelligence
  • Feature Engineering
  • Model Evaluation
Programming Languages
  • Python
  • R
  • SQL
Machine Learning Libraries
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Keras
  • XGBoost
Data Visualization Tools
  • Power BI
  • Tableau
  • Matplotlib
  • Seaborn
  • Plotly
Big Data & Cloud Technologies
  • Apache Spark
  • Hadoop
  • AWS
  • Microsoft Azure
  • Google Cloud Platform (GCP)
Database Technologies
  • MySQL
  • PostgreSQL
  • SQL Server
  • MongoDB
Professional Skills
  • Excellent communication skills.
  • Strong presentation abilities.
  • Problem-solving mindset.
  • Analytical thinking.
  • Mentoring and coaching skills.
  • Time management.
  • Collaboration and teamwork.
  • Continuous learning mindset.
What You'll Get in Return
Working with 10Alytics offers numerous benefits, including:
  • Competitive salary.
  • Health insurance.
  • Flexible remote work environment.
  • Career growth opportunities.
  • Continuous learning and development.
  • Performance-based bonuses.
  • Opportunity to mentor future Data Science professionals.
  • Exposure to modern Data Science technologies and industry best practices.
Career Growth Opportunities
Professionals in this role can progress into positions such as:
  • Lead Data Scientist
  • Machine Learning Engineer
  • AI Engineer
  • Analytics Manager
  • Data Science Manager
  • Principal Data Scientist
  • Data Engineering Lead
  • Technical Trainer
  • Learning Program Manager
  • Head of Data Science
How to Apply
If you're ready to grow your career with a team that's empowering the future of technology and Data Science education, submit your application before 13th August 2026.
Applications should include:
  • Updated ATS-friendly CV.
  • Professional cover letter.
  • Copies of academic qualifications.
  • Relevant professional certifications.
  • Any additional supporting documents.
Application Procedure: Apply through the official 10Alytics recruitment platform before the deadline.
Only shortlisted candidates will be contacted.
Senior Data Associate – Data Science CV Tips
To increase your chances of securing this opportunity, tailor your CV to emphasize your technical expertise, mentoring experience, and data science achievements.
1. Professional Summary
Write a concise summary highlighting your experience.
Example:
"Experienced Data Science professional with over four years of expertise in machine learning, predictive analytics, statistical modeling, Python, SQL, cloud computing, and data visualization. Passionate about mentoring learners, delivering technical training, and developing industry-ready Data Science solutions."
2. Highlight Relevant Experience
Include experience in:
  • Data Science
  • Machine Learning
  • Artificial Intelligence
  • Data Analytics
  • Statistical Modeling
  • Predictive Analytics
  • Python Programming
  • SQL
  • Data Visualization
  • Technical Training
  • Mentorship
  • Curriculum Development
3. Include Technical Skills
Mention tools such as:
  • Python
  • R
  • SQL
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Tableau
  • Power BI
  • Spark
  • Hadoop
  • AWS
  • Azure
  • Google Cloud
  • Git
  • Docker
4. Showcase Achievements
Use measurable accomplishments such as:
  • Built predictive models that improved decision-making.
  • Developed machine learning solutions for business challenges.
  • Mentored learners who successfully transitioned into Data Science careers.
  • Improved learner completion rates.
  • Delivered high-impact technical training programs.
  • Automated analytical workflows.
  • Enhanced model accuracy and performance.
Cover Letter Tips
An effective cover letter should:
  • Introduce your Data Science and teaching experience.
  • Highlight expertise in machine learning, AI, and analytics.
  • Demonstrate your mentoring and leadership abilities.
  • Mention experience delivering technical training.
  • Showcase your problem-solving and analytical skills.
  • Explain why you want to join 10Alytics.
  • Express enthusiasm for empowering future Data Science professionals.
Senior Data Associate – Data Science Interview Tips
Prepare for questions such as:
1. Explain the steps involved in a typical Data Science project.
Discuss data collection, cleaning, exploratory data analysis, feature engineering, model building, evaluation, deployment, and monitoring.
2. Which Machine Learning algorithms have you used?
Explain supervised and unsupervised learning techniques, regression, classification, clustering, ensemble methods, and deep learning.
3. How do you evaluate machine learning models?
Discuss accuracy, precision, recall, F1-score, ROC-AUC, cross-validation, and model optimization.
4. How do you mentor learners with different technical backgrounds?
Describe your teaching methodology, personalized guidance, and learner engagement strategies.
5. What Data Science tools are you most comfortable using?
Highlight Python, SQL, TensorFlow, Power BI, Tableau, Scikit-learn, cloud platforms, and big data technologies.
6. How do you stay updated with emerging technologies?
Mention continuous learning through certifications, industry publications, technical communities, conferences, and hands-on experimentation.
7. Why do you want to work at 10Alytics?
Emphasize your passion for Data Science education, mentoring, innovation, and helping learners develop practical skills for successful careers.


About Company

10Alytics

10Alytics

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Job Overview

  • Job Type: Full time
  • Experience Level: Intermediate
  • Education Level: Bachelors
  • Vacancies: 1
  • Category: IT & Software
  • Location: Uganda
  • Application: External Website

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