Data Scientist Intern

Location: Lagos, Nigeria

Description:

Company: Intellyjent Inc.
Location: Lagos, Nigeria
Type: Full time (Remote)
Duration: 3 months
Compensation: Competitive stipend based on experience, plus professional development and networking opportunities.

About Intellyjent Inc.
Intellyjent Inc. is a dynamic educational social networking platform revolutionizing how learners connect, collaborate, and grow. Our mission is to empower individuals worldwide by fostering communities around knowledge-sharing, skill-building, and lifelong learning. With a user base spanning students, educators, and professionals, we blend gamification with curated educational content to create meaningful connections and accelerate personal development. As a fast-growing startup, we're passionate about innovation and seek talented interns to contribute to our vibrant team.

Job Summary
We are seeking a curious and technically proficient Data Scientist Intern to join our data science team. This role is designed for an individual with at least 1 year of experience in data science projects, ready to apply machine learning and advanced analytics to enhance our educational social platform. As a Data Scientist Intern, you will build models to personalize learning recommendations, analyze user interactions, and predict engagement trends, supporting product innovation and user growth. You'll collaborate with engineering, product, and marketing teams to deploy data-driven solutions that make learning more intuitive and connected. This internship delivers practical exposure to end-to-end data science workflows, guidance from expert scientists, and the chance to contribute to scalable ML features in a remote, innovative environment.

Key Responsibilities
- Data Preparation & Feature Engineering: Collect and preprocess large datasets from user interactions, content engagements, and social networks using Python or R. Engineer features for models, such as user behavior vectors or content similarity metrics, to support educational personalization.

- Model Development & Training: Design, train, and evaluate machine learning models (e.g., recommendation systems, clustering for community detection) using libraries like scikit-learn, TensorFlow, or PyTorch. Focus on applications like predicting user dropout or optimizing content feeds for learning outcomes.

- Predictive Analytics: Build predictive models to forecast platform metrics, such as user retention or viral content spread, and perform time-series analysis on engagement data to identify seasonal learning patterns.

- Experimentation & A/B Testing: Collaborate on designing ML-driven experiments, such as testing personalized learning paths, and use statistical methods to validate results and iterate on model performance.

- NLP & Text Analysis: Apply natural language processing techniques to analyze user-generated content, like forum posts or reviews, to extract sentiments, topics, or knowledge gaps in educational discussions.

- Model Deployment & Monitoring: Assist in deploying models via APIs or cloud services (e.g., AWS SageMaker) and monitor them for drift, ensuring robust performance in a production environment.

- Insights & Reporting: Translate model outputs into actionable insights for stakeholders, creating visualizations with tools like Matplotlib or Seaborn, and presenting findings on edtech trends like adaptive learning algorithms.

- Research & Innovation: Explore state-of-the-art techniques in educational AI (e.g., reinforcement learning for skill progression) and contribute to internal knowledge-sharing through documentation and team discussions.

Required Qualifications
- Experience: At least 1 year of practical data science experience, acquired through internships, capstone projects, freelance work, or personal initiatives (e.g., building ML models for social or educational datasets).

- Education: Current enrollment in a Bachelor's or Master's program in Data Science, Computer Science, Statistics, Machine Learning, or a related field.

- Technical Skills:
- Proficiency in Python (e.g., Pandas, NumPy, scikit-learn) or R for data manipulation and modeling.
- Solid foundation in machine learning concepts (supervised/unsupervised learning, evaluation metrics) and statistics (hypothesis testing, regression).
- Experience with data visualization tools like Tableau or Matplotlib.
- Basic SQL for data querying.

- Soft Skills: Strong analytical thinking with the ability to explain complex models simply. Collaborative spirit and eagerness to learn in a fast-paced, remote startup culture.

- Other: Enthusiasm for edtech and social platforms; a portfolio or GitHub with 1-2 data science projects (e.g., predictive models) is required.

Preferred Skills
- Familiarity with deep learning frameworks (e.g., Keras) or NLP libraries (e.g., spaCy, Hugging Face Transformers).
- Experience with cloud platforms (e.g., Google Cloud AI, AWS) or version control (Git).
- Knowledge of ethical AI practices, particularly in educational contexts like bias mitigation in recommendations.

What We Offer
- Hands-On Learning: Contribute to live ML projects that directly impact user experiences and platform intelligence.
- Mentorship: Weekly sessions with senior data scientists to advance your technical expertise and project work.
- Perks: Unlimited access to Intellyjent's educational tools, GPU credits for personal projects, and edtech conference stipends. Earn a certificate with detailed project contributions.
- Growth Potential: High-achieving interns could move into full-time data science roles or receive tailored references.
- Compensation: Competitive stipend based on experience, plus professional development and networking opportunities.

Apply
If you're excited to harness data science for smarter learning communities, we can't wait to connect! Apply now!

Skills:

Eligibility:

Required Qualifications
- Experience: At least 1 year of practical data science experience, acquired through internships, capstone projects, freelance work, or personal initiatives (e.g., building ML models for social or educational datasets).

- Education: Current enrollment in a Bachelor's or Master's program in Data Science, Computer Science, Statistics, Machine Learning, or a related field.

Salary Range: 27.00 - 34.00

Status: Active

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