Data Science Technician

About the Role

We are seeking a detail-oriented and analytical Data Science Technician to join our growing data team. This entry-level role is ideal for recent graduates and early-career professionals who want to build a strong foundation in data science, analytics, and machine learning support functions.

The Data Science Technician will assist in preparing datasets, supporting model development workflows, performing data quality checks, and helping data scientists transform raw data into actionable insights. No prior professional experience is required. Full training and mentorship will be provided.

Key Responsibilities

• Collect, clean, and preprocess structured and unstructured datasets.
• Support data scientists in building and testing analytical models.
• Perform data validation, quality assurance, and consistency checks.
• Assist in exploratory data analysis (EDA) and reporting.
• Prepare datasets for machine learning and statistical analysis.
• Document data workflows, processes, and findings.
• Support visualization of data insights using BI tools.
• Help maintain data pipelines and ensure data integrity.
• Collaborate with analytics, engineering, and business teams.
• Assist in research and experimentation for data-driven solutions.

Required Qualifications

• Bachelor's degree (completed or in progress) in:
• Data Science
• Computer Science
• Statistics
• Mathematics
• Engineering
• Information Systems
• Economics
• Business Analytics
• Or a related field
• Strong analytical and problem-solving mindset.
• Basic understanding of data concepts and statistics.
• Good communication and documentation skills.
• Strong attention to detail and accuracy.
• Ability to work independently and collaboratively.
• Eagerness to learn data science tools and techniques.

Preferred Qualifications

• Basic understanding of Python or R.
• Familiarity with Excel, SQL, or data visualization tools.
• Exposure to machine learning concepts through coursework, projects, or self-learning.
• Understanding of data cleaning and preprocessing techniques.
• Interest in artificial intelligence and predictive analytics.
• Experience with academic or personal data projects is a plus.

Technical Skills (Nice to Have)

• Python (Pandas, NumPy basics)
• R Programming (Basic)
• SQL Fundamentals
• Microsoft Excel / Google Sheets
• Power BI / Tableau
• Data Cleaning & Preprocessing
• Exploratory Data Analysis (EDA)
• Machine Learning Basics
• Data Visualization
• Statistical Analysis
• Jupyter Notebooks

What We Offer

• Structured training in data science fundamentals.
• Hands-on experience with real-world datasets and projects.
• Mentorship from experienced data scientists and analysts.
• Career growth opportunities in Data Science, Machine Learning, AI, and Analytics.
• Collaborative, innovation-driven work environment.
• Exposure to modern data tools and technologies.

Ideal Candidate

• Recent graduate or final-year student.
• Highly curious and data-driven thinker.
• Passionate about AI, analytics, and problem-solving.
• Comfortable working with numbers and datasets.
• Motivated to build a long-term career in Data Science, AI, or Analytics.

Experience Required: 0–1 Year (No Prior Professional Experience Required)

Education: Bachelor's Degree (Completed or Pursuing)

Seniority Level: Entry Level

Industry: Data Science, Artificial Intelligence, Information Technology, Analytics, Research, Consulting, or related industries.

Equal Opportunity Employer

We are committed to fostering an inclusive and growth-oriented workplace and encourage applications from all qualified candidates.