Operations Research Analyst

SAIC is looking for an experienced and motivated Operations Research Analyst to join our team. Our ideal candidate will have a strong background in mathematics and analytics and a passion for problem-solving. You will be responsible for developing, testing, and implementing mathematical models and algorithms to analyze complex data sets and make predictions about the effectiveness of possible... strategies in order to drive business decisions and improve operational efficiency.To be successful in this role, you must have an advanced degree in mathematics, operations research, statistics, or a related field, as well as a comprehensive understanding of data analysis and predictive modeling techniques. You must also have excellent communication and organizational skills and the ability to work independently in a fast-paced environment. Experience with programming languages such as Python, R, and MATLAB is a plus.We are looking for someone who is excited to be part of a dynamic team and contribute to our mission of providing innovative solutions to our clients. If you are a creative thinker with a passion for analytics, then this is the perfect role for you. Responsibilities: Develop, test, and implement mathematical models and algorithms to analyze complex data sets and make predictions about the effectiveness of possible strategies. Utilize programming languages such as Python, R, and MATLAB to support data analysis and predictive modeling. Collaborate with other teams to identify opportunities to improve operational efficiency. Effectively communicate results of analyses to stakeholders. Stay up-to-date on latest developments and trends in the field of operations research. Manage multiple projects simultaneously and work independently in a fast-paced environment. Develop innovative solutions to client problems. SAIC is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics