Associate Data Scientist

Qode • New Jersey, NJ

1d • Onsite

About The Position

As an Associate Data Scientist at Incedo, you will contribute to analytical solutions that support Fortune 20 clients. You’ll work with cross‑functional teams to explore data, build models, and generate insights that drive business outcomes. This is an early‑career role designed for candidates who are eager to learn, experiment, and grow within a fast‑paced environment.

Requirements

• Master’s degree in Applied Mathematics, Computer Science, Statistics, Data Science, Business Analytics, or a related field.
• Working knowledge of Python or R, and SQL‑based query languages.
• Experience using AI‑native tools (e.g., Copilot‑style assistants) to enhance productivity.
• Exposure to multiple machine learning techniques such as linear/logistic regression, decision trees, SVM, random forests, KNN, clustering, or recommendation systems, including understanding of underlying math.
• Ability to articulate problem statements and translate them into analytical approaches.
• Strong communication skills and clarity of thought.
• 0–1 years of experience in data, analytics, consulting, or related domains (internships included).

Responsibilities

• Perform exploratory data analysis, test hypotheses, and generate insights for client andinternal projects.
• Contribute to solution design, methodology selection, and analytical approach.
• Support feature engineering, model development, model evaluation, and deployment activities.
• Collaborate with team members across engineering, product, and business functions.
• Communicate analytical findings clearly and concisely to technical and non‑technical stakeholders.

Benefits

• Our learning platform, Incedo University, supports your growth from day one with structured onboarding, continuous learning programs, and clear career pathways.
• We also foster a collaborative, engaging workplace with regular team events and a friendly environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level