Data Scientist (Entry-Level) – Machine Learning, AI

Job Description

Data Scientist | Webologix Ltd/ INC

The Tone:
This is a full-time role at Webologix Ltd/ INC, with onsite, hybrid, or remote options available across the United States. The company is actively working to solve complex business problems through advanced data analytics, machine learning, and artificial intelligence. This position is central to developing data-driven solutions, generating actionable insights, and building predictive models that directly support strategic decision-making and business growth.

The TL;DR
• Role: Early Career
• Type: Full-Time
• Location: Remote, Hybrid, In-person, United States
• Team: Collaborates with data engineers, software developers, analysts, and business stakeholders
• Mission: Solve complex business problems through data
• Tech Stack: Python, Machine Learning, SQL, Statistical Analysis, Pandas & NumPy, Scikit-learn, Tableau / Power BI, Deep Learning Fundamentals, AWS / Azure / Google Cloud, Predictive Modeling & Data Mining

What You’ll Actually Do
• Prepare and analyze large structured and unstructured datasets to uncover insights.
• Develop and deploy machine learning and predictive analytics models into production environments.
• Apply statistical techniques to identify patterns, trends, and business opportunities.
• Create dashboards, reports, and visualizations to effectively communicate analytical findings.
• Collaborate with technical and business teams to solve complex data challenges.

The Must-Haves
• Background: Master’s Degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Business Analytics, Data Analytics, Economics, Engineering, or a related quantitative field.
• Experience: 0–3 years of experience in Data Science, Machine Learning, Artificial Intelligence, Predictive Analytics, Business Analytics, or a related domain.
• Skills: Strong foundation in statistics, machine learning algorithms, data analysis techniques, analytical problem-solving, and effective communication.
• Bonus: Proficiency with Python, SQL, Pandas & NumPy, Scikit-learn, Tableau / Power BI, Deep Learning Fundamentals, AWS / Azure / Google Cloud, Predictive Modeling & Data Mining.