Data Modeling and Optimization Specialist
2 weeks ago
As a key member of our team at Duncan & Ross, you will develop and implement sophisticated mathematical and statistical models to drive business growth and optimization. Your primary focus will be on designing algorithms for data analysis, simulation, and optimization, utilizing your expertise in C/C and Python programming languages.
Collaboration and Communication:
Our team thrives on collaboration and open communication. You will work closely with data scientists, engineers, and other specialists to integrate models into larger systems, ensuring seamless execution and delivery.
Qualifications:
- Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or a related field. A PhD is a plus.
- Proven experience in mathematical and statistical modeling, with a strong track record of delivering results.
- Expertise in C/C and Python programming languages, with a strong understanding of libraries such as NumPy, SciPy, and TensorFlow.
- Familiarity with data visualization tools like Matplotlib and Seaborn.
- Proficient in handling large datasets and working with databases (SQL, NoSQL).
- Strong analytical and problem-solving skills, with the ability to work in a fast-paced environment.
- Experience with machine learning frameworks and techniques is a plus.
Preferred Skills:
- Knowledge of parallel computing, multithreading, and optimization techniques.
- Experience in one or more specialized areas, such as quantitative finance, operations research, or engineering simulations.
- Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.
- Excellent communication and collaboration skills.
Vertical:
Technology
Remote Work: No
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