Senior Data Scientist
- Posted a month ago
- Over 100 applicants have applied
Job Description
Key Deliverables:
- Automate data curation workflows using ML techniques.
- Develop and deploy models for data cleaning, validation, and standardization.
- Lead ML solution design, experimentation, and performance evaluation.
- Collaborate with engineering teams to scale AI/ML pipelines in cloud environments.
Role Responsibilities:
- Drive AI/ML initiatives to reduce manual data processing.
- Conduct exploratory data analysis for feature engineering and insights.
- Implement deep learning models using modern frameworks.
- Mentor team members and promote data science best practices.
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Key Skills
About Company
Flexera Software
Skills:
Power Bi, Tableau, Python, Sql, Optimization frameworks, Regression, Looker, Time-series forecasting
Skills:
Apache Spark (batch and streaming), Data Modeling, Automation, Sql, Version Control, Django, Software Architecture, Docker, Terraform, Python, Testing, Apache Iceberg, Code reviews, Dimensional data modeling, ETL processes, GitLab CI/CD pipelines
Skills:
Python, FastAPI, Machine Learning, Api Development, Api Management, Oops, Jenkins, Gcp, Azure, AWS, Cloud Migration, Docker, Kubernetes, Terraform, GenAI, Llm, RAG, Embeddings, CI/CD, GitHub Actions, ML Platform Modernization, Vector Databases, Pinecone, FAISS, Chroma, IaC
Skills:
Tensorflow, Pytorch, Python, Sql, data pipelines, R, data visualization and reporting tools, Scikit-learn, ETL workflows
Skills:
Tableau, Tensorflow, Data Science, Pytorch, XGBoost, Python, AWS, Hadoop, Power Bi, Sql, Hive, MLops, Spark, Azure, scikit-learn, Cloud Platforms, Dash, Model Deployment, Generative AI, Plotly, Unstructured Data Analysis, Statsmodels, Agentic AI, Model Monitoring, Retrieval Augmented Generation