Data Scientist R
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Job Location:
Guadalajara - Mexico
Monthly Salary:
Not Disclosed
Posted on:
5 days ago
Vacancies:
1 Vacancy
Job Summary
Data Scientist
Primary Skills
- Hypothesis Testing T-Test Z-Test Regression (Linear Logistic) Python/PySpark SAS/SPSS Statistical analysis and computing Probabilistic Graph Models Great Expectation Evidently AI Forecasting (Exponential Smoothing ARIMA ARIMAX) Tools(KubeFlow BentoML) Classification (Decision Trees SVM) ML Frameworks (TensorFlow PyTorch Sci-Kit Learn CNTK Keras MXNet) Distance (Hamming Distance Euclidean Distance Manhattan Distance) R/ R Studio
Specialization
- Data Science Advanced: AI/ML Engineer
Job requirements
- Qualifications
- Bachelors or Masters degree in Computer Science Data Science or a related field with 3-5 years experience o Proven experience as a Data Engineer or similar role with a focus on AI/ML projects.
- Strong proficiency in Python programming and experience with relevant libraries and frameworks (e.g. pandas NumPy scikit-learn TensorFlow PyTorch).
- Solid understanding of data engineering concepts data modeling and database systems (e.g. SQL NoSQL).
- Experience with data integration and ETL tools (e.g. Apache Airflow Apache Spark Talend). o Familiarity with cloud platforms (e.g. AWS Azure GCP) and related services (e.g. S3 EC2 BigQuery).
- Strong problem-solving skills and ability to work in a fast-paced collaborative environment.
- Job Description & Responsibilities Data Pipeline Development:
- Design develop and maintain scalable and efficient data pipelines to collect clean and transform large volumes of data.
- Collaborate with software engineers and other stakeholders to understand data requirements and implement effective solutions.
- Ensure data pipelines are robust reliable and optimized for performance. Data Modeling and Integration:
- Design and implement data models that support the storage retrieval and analysis of structured and unstructured data.
- Integrate and consolidate data from various sources both internal and external to create a unified and comprehensive data ecosystem.
- Ensure data integrity and accuracy through data quality assessments cleansing and validation techniques. Machine Learning Implementation:
- Optimize and enhance machine learning algorithms for performance scalability and accuracy.
- Implement data preprocessing feature engineering and model training workflows using Python and relevant libraries (e.g. scikit-learn TensorFlow PyTorch). Data Infrastructure Management
- Configure and maintain cloud-based infrastructure for data storage processing and analysis.
- Monitor and troubleshoot data-related issues ensuring high availability and reliability of data systems.
- Stay up-to-date with emerging technologies tools and best practices in data engineering AI and ML.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
