Data Modeling Specialist

3 weeks ago


Bengaluru, Karnataka, India Duncan & Ross Full time

Key Responsibilities:

  • Develop and Implement Models: Design and implement mathematical models to solve complex business problems, utilizing strong analytical and problem-solving skills.
  • Algorithm Design: Utilize C/C++ and Python to create algorithms for data analysis, simulation, and optimization.
  • Model Integration: Collaborate with data scientists, engineers, and other specialists to integrate models into larger systems.
  • Statistical Analysis: Conduct statistical analyses, hypothesis testing, and predictive modeling to drive business decisions.
  • Model Validation: Ensure the accuracy and reliability of models through thorough validation and testing.
  • Industry Trends: Stay updated on industry trends and best practices in mathematical modeling and computational techniques.
  • Communication: Clearly communicate findings, results, and methodologies to both technical and non-technical stakeholders.
  • Model Optimization: Optimize existing models for performance and scalability.

Qualifications:

  • Bachelor's or Master's Degree: Possess a Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or a related field. A PhD is preferred.
  • Proven Experience: Demonstrate proven experience in mathematical and statistical modeling.
  • Programming Skills: Possess strong programming skills in C/C++ and Python.
  • Library Experience: Experience with libraries such as NumPy, SciPy, TensorFlow, or equivalent.
  • Data Visualization: Familiarity with data visualization tools like Matplotlib, Seaborn, or similar.
  • Large Dataset Handling: Proficient in handling large datasets and working with databases (SQL, NoSQL).
  • Analytical Skills: Strong analytical and problem-solving skills with the ability to work in a fast-paced environment.
  • Machine Learning Experience: Experience with machine learning frameworks and techniques is a plus.

Preferred Skills:

  • Parallel Computing: Knowledge of parallel computing, multithreading, and optimization techniques.
  • Specialized Areas: Experience in one or more specialized areas such as quantitative finance, operations research, or engineering simulations.
  • Cloud Computing: Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.
  • Communication Skills: Excellent communication and collaboration skills.

Vertical:

Technology

Remote Work: No



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