Logo
Axtria - Ingenious Insights

Campus 2026: Decision Science (DS) Analyst/Associate

Axtria - Ingenious Insights, Berkeley Heights, New Jersey, us, 07922

Save Job

Campus 2026: Decision Science (DS) Analyst/Associate

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? Why Axtria?

Axtria is an emerging force in the data analytics industry with corporate headquarters in Berkeley Heights, NJ.

We work exclusively with companies in the Life Science industry, helping our clients solve complex problems by blending information, analytics, AI, and technology to improve patient outcomes and drive business growth. What's in it for you?

Growth – advancement of your analytical, technical, and AI skills.

Analysts and Associates in our Decision Sciences (DS) Business work in teams that provide advanced analytics, AI‑driven insights and solutions to solve complex business problems for clients in the Life Science Industry.

Our DS professionals are oriented toward coding and AI implementation, building and applying algorithms, AI/ML models, and GenAI solutions to advise clients and help them make strategic and tactical decisions. Potential Responsibilities may include (but not limited to) any of the following activities: 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 About You Working toward a Bachelor’s or Master’s (preferred) in Data Science, Computer Science, Business Analytics, Economics, Mathematics, Applied Mathematics, Statistics, or any Engineering major Understanding of machine learning concepts, algorithms, and practical applications Proficiency or strong foundation in Python, SQL, R, and Excel Familiarity with AI/ML frameworks such as TensorFlow, scikit‑learn, PyTorch and GenAI tools (preferred) Strong communication skills, comfortable presenting concepts and recommendations to both technical and non‑technical audiences Problem‑solving mindset with a passion for using analytical and AI approaches to solve a wide variety of problems Dedicated team player who enjoys collaboration with the primary goal of “getting it done” Interest in the 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, no visa sponsorship required Life @ Axtria Axtrians are passionate and thrive in a culture of collaboration and learning.

We 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 hierarchical boundaries and share knowledge and exciting AI innovations. Pay Transparency Laws The salary range for this position is $70,000 to $85,000 annually.

The actual salary will vary based on education, experience, skills, and internal equity.

Salary may also be adjusted based on geographic location.

#J-18808-Ljbffr