DirecciónONSITE POSITION***
We are looking for a Senior Python Programmer with good Data Analysis and Modeling Skills, you will apply your advanced analytics skills to transform our vast datasets into tangible business value. You will slice and dice data, analyse information, communicate your findings and collaborate on product development. Outcome of your work will serve multiple business purposes, from commercialized software solution development, driving internal business decisions, to consulting external clients.
Responsibilities:
• The candidate will drive business decisions based on the insight obtained from the data.
• Strong problem-solving skills with an emphasis on product development.
• Selecting features, building and optimizing machine learning techniques to improve the accuracy of new products.
• Analyse data for trends and patterns, understanding insight from data with a unbiassed mindset.
• Implement different analytical methodologies to help solve various problems related to the energy industry.
• Close collaboration with software developers and machine learning engineers in the implementation of analytical models into production or commercialization.
• Develop and utilize algorithms to perform error analysis to improve model uniformity and accuracy.
• Communicate your findings to both technical and non-technical stakeholders.
• Comfort working in a very dynamic, research-oriented team with several projects under construction in parallel.
Required Qualifications:
• Advanced degree in a highly quantitative field: Computer Science, Machine Learning, Geology, Statistics, Mathematics, etc.
• Advanced English conversational and written skills.
• Proficiency with data mining, knowledge of probability theory and advanced statistical techniques.
• Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis.
• Experience with scientific scripting languages (e.g., Python, R, Matlab)
• Experience accessing and manipulating data in SQL database environments.
• Excellent communication and presentation skills. The candidate must be able to effectively communicate with management, reservoir characterization teams, engineering teams, clients, and other stake holders.
Preferred Qualifications:
• Recent work or internship experience in an advanced data analytics role.
• Experience with object-oriented programming (e.g., C#/C++, Java).
• Knowledge of deep learning and related toolkits: Tensorflow, PyTorch, Keras, etc.
• Knowledge of the energy industry, understanding the different challenges and potential solutions.
Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.
• Título avanzado en un campo altamente cuantitativo: Informática, Machine Learning, Geología, Estadística, Matemáticas, etc.
• Habilidades avanzadas de conversación y escritura en inglés.
• Dominio de la minería de datos, conocimiento de la teoría de la probabilidad y técnicas estadísticas avanzadas.
• Experiencia con análisis de regresión (más allá de la regresión lineal), aprendizaje supervisado, aprendizaje no supervisado o análisis de series temporales.
• Experiencia con lenguajes de programación científicos (por ejemplo, Python, R, Matlab)
• Experiencia en acceso y manipulación de datos en entornos de bases de datos SQL.
• Excelentes habilidades de comunicación y presentación. El candidato debe poder comunicarse de manera efectiva con la administración, los equipos de caracterización de yacimientos, los equipos de ingeniería, los clientes y otras partes interesadas.
Open Source Data Integration
