Apply๐ India
๐ Product engineering, cloud-native, data engineering, B2B SaaS, IoT & Machine Learning
๐ข Company: Velotio Technologies
- 5+ years of industry experience in data science or related field.
- Strong expertise in statistical analysis, predictive modeling, and machine learning algorithms.
- Proficient in Python and popular data analysis and machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Experience with big data processing frameworks (e.g., Spark, Hadoop).
- Solid understanding of SQL and databases.
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Excellent problem-solving and analytical skills.
- Strong communication and presentation skills.
- Master's or PhD in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics) is preferred.
- Collaborate with cross-functional teams to define problem statements, hypotheses, and success metrics for data science projects.
- Design, develop and deploy machine learning models and predictive analytics solutions at scale.
- Perform exploratory data analysis, feature engineering, and data preprocessing to support model development.
- Apply statistical analysis and machine learning techniques to extract insights and solve business problems.
- Prototype and implement data products and pipelines using modern data tools and frameworks.
- Drive the adoption of best practices in data science, including experiment design, testing, and evaluation.
- Communicate findings and insights to stakeholders through data visualization, reports, and presentations.
- Stay up-to-date with the latest developments and trends in machine learning and data science.
AWSPythonSQLData AnalysisGCPHadoopMachine LearningNumpyPyTorchAlgorithmsAzureData analysisData sciencePandasSparkTensorflowAnalytical Skills
Posted 2024-10-15
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