Job Title: Associate, Data ScientistLocation: Florham Park, NJType: Full-TimeCompany OverviewIncedo is a US‑based consulting, data science, and technology services firm with more than 3,000 professionals across the US, Mexico, and India. We help clients achieve competitive advantage through end‑to‑end digital transformation, combining deep engineering, data science, and design capabilities with strong domain expertise. Our teams deliver measurable business impact across telecom, banking, wealth management, product engineering, and life sciences & healthcare. Life at IncedoAt Incedo, you’ll work with industry‑leading clients and collaborate with experts in technology and domain strategy. Our learning platform, Incedo University, supports your growth from day one with structured onboarding, continuous learning programs, and clear career pathways. Whether you aspire to become a program manager, technical architect, or domain specialist, we provide the flexibility and support to help you grow. We also foster a collaborative, engaging workplace with regular team events and a friendly environment. Our MissionWe enable our clients to maximize business impact from technology by:

Harnessing the transformational power of emerging technologies
Bridging the gap between business and engineering

About the Role 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.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.

Skills & Qualifications

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).

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