Campus 2026: Decision Science (DS) Analyst/Associate

Axtria, Inc.•Berkeley Heights, NJ

8d•$70,000 - $85,000

About The Position

Decision Science (DS) Analyst/Associate Positions Are you looking for a consulting opportunity that uses your analytical skills, predictive modeling, and AI/ML? Does the thought of working with emerging trends and applying AI and GenAI best practices excite you? Is working in a collaborative culture with some of the brightest minds in the data analytics industry a goal? If you answer yes to any of these questions, read on and learn about Axtria's DS Opportunities Why Axtria? Axtria is an emerging force in the data analytics industry with corporate headquarters in Berkeley Heights, NJ with offices in Boston and Chicago. We work exclusively with companies in the Life Science industry, helping our clients solve some of their most complex problems. We blend information, analytics, AI, and technology to help organizations gain a competitive edge to improve patient outcomes and drive business growth. What's in it for you? Growth! Advancement of your analytical, technical, and AI skills. A high performance culture of doing the RIGHT thing. Analysts and Associates in our Decision Sciences (DS) Business work in teams that provide advance analytics, AI-driven insights and solutions to solve complex business problems for our clients in the Life Science Industry. Our DS professionals are oriented towards coding and AI implementation. They create and apply algorithms, build AI/ML models, use quantitative modeling and GenAI solutions to advise clients and help them make strategic and tactical decisions to achieve their business objectives. Life @ Axtria Axtrians are passionate and thrive in a culture of collaboration and learning. We realize that AI and data expertise are in high demand, and our work has an enormous impact in the Life Science industry and on society. We don't take this lightly, thus constantly challenge ourselves to improve, innovate, and empower others through responsible AI practices. We highly encourage transparency in our nimble organization where we communicate freely without any hierarchical boundaries to share a wealth of knowledge and exciting AI innovations.

Requirements

Working towards a Bachelors/Masters preference given to: Data Science, Computer Science, Business Analytics, Economics, Mathematics, Applied Mathematics, Statistics, and any Engineering Major
AI/ML Knowledge: Understanding of machine learning concepts, algorithms, and their practical applications
Programming Skills: Proficiency or strong foundation in Python, SQL, R - Excel skills required
Must have strong communication skills, comfortable presenting concepts and recommendations to both technical and non-technical audiences
Problem-solving mindset: Obsessed with working through and solving a wide variety of problems using analytical and AI approaches
Dedicated team players who enjoy collaboration with the primary goal of "getting it done"
Interest in life sciences industry and improving patient outcomes through AI-driven solutions
Graduating between December 2025 and June 2026
Must have permanent work authorization to work in the United States, without need of visa sponsorship

Nice To Haves

AI Tools: Familiarity with AI/ML frameworks (TensorFlow, scikit-learn, PyTorch) and GenAI tools preferred

Responsibilities

Conduct simple and advanced data analyses that help clients improve their patient health outcomes
Build AI/ML models including machine learning algorithms, deep learning solutions, and GenAI applications
Evaluate and recommend AI solutions for client business problems, assessing feasibility, ROI, and implementation approaches
Develop statistical models and algorithms to predict and analyze key business metrics and trends
Apply AI/ML, advanced statistical econometrics, and optimization models to real-world business problems
Design and implement GenAI pipelines using LLMs, natural language processing, and multi-agent systems
Work with a wide variety of modeling techniques, such as regression analysis, machine learning algorithms, clustering, neural nets, random forests, and deep learning algorithms
Stay current with industry trends in AI, GenAI, predictive modeling and data science techniques

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