Junior Data Scientist

This role is for one of Weekday’s clients

Min Experience: 1 years

JobType: full-time

Requirements

We are seeking a passionate and motivated Junior Data Scientist to join our analytics and AI-driven team. The ideal candidate will bring foundational experience in Machine Learning (ML) and Natural Language Processing (NLP), with a strong interest in solving real-world problems using data. In this role, you will contribute to building intelligent systems, analyzing complex datasets, and developing predictive models that power innovative solutions. With 1+ years of hands-on experience, you will support senior data scientists and engineers in delivering projects that enhance business decisions and create customer value.

Key Responsibilities

• Data Collection & Preprocessing
• Gather, clean, and preprocess structured and unstructured datasets for analysis and modeling.
• Apply NLP techniques such as tokenization, stemming, lemmatization, and vectorization to text data.
• Manage large datasets and ensure data quality, consistency, and accuracy.
• Machine Learning & NLP Model Development
• Assist in developing, training, and fine-tuning ML and NLP models for tasks like classification, clustering, recommendation, and sentiment analysis.
• Support the deployment of models into production environments in collaboration with engineering teams.
• Conduct feature engineering, model evaluation, and hyperparameter tuning.
• Exploratory Data Analysis (EDA)
• Use statistical techniques and visualization tools to identify trends, correlations, and insights.
• Provide data-driven recommendations for business strategies and product improvements.
• Research & Innovation
• Stay updated with the latest advancements in ML, NLP, deep learning, and AI frameworks.
• Experiment with state-of-the-art algorithms like transformers, word embeddings, and neural networks.
• Contribute fresh ideas and innovative approaches to ongoing projects.
• Collaboration & Communication
• Work closely with senior data scientists, product managers, and business stakeholders to understand project requirements.
• Translate complex technical findings into clear, actionable insights for non-technical teams.
• Document workflows, models, and processes to ensure reproducibility and knowledge sharing.
• Testing & Optimization
• Validate models against test data and monitor their performance post-deployment.
• Optimize models for accuracy, scalability, and efficiency.
• Support troubleshooting of production issues and suggest improvements.

Skills & Qualifications

• Education: Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field (Master’s degree preferred).
• Experience: Minimum 1+ year of experience in data science, with exposure to ML and NLP projects.
• Technical Skills:
• Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of NLP techniques such as embeddings, transformers (BERT, GPT), and text classification.
• Familiarity with SQL and data querying.
• Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus.
• Analytical Abilities: Strong problem-solving skills, statistical knowledge, and an eye for detail.
• Soft Skills: Effective communication, teamwork, adaptability, and eagerness to learn.