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.
More Info
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Key Skills
About Company
Flexera Software
Skills:
model design , Machine Learning, Pyspark, Deep Learning, Tensorflow, Nlp, Pandas, Pytorch, Spark, Azure Data Lake, Databricks, Azure, Python, GenAI, scikit-learn, Hugging Face Transformers, Azure OpenAI Service, MLflow, Azure AI Foundry, prompt engineering, Llm, RAG, feature engineering
Skills:
retrieval augmented generation (RAG), Hypothesis Testing, Python, MLops, Statistical Analysis, embedding pipelines, multi-agent systems, vector databases, MLflow, LangGraph, Evaluation, Experimental Design, CrewAI, LangChain, Generative AI, fine-tuning, LLMs, deep learning architectures, a/b testing, gradient boosting, Classification, prompt engineering, ensemble methods, Regression, CI/CD
Skills:
Power Bi, Pyspark, Data Visualization, Tableau, Machine Learning Algorithms, Sql, Python, Model Tuning, Feature Engineering, Ms Office Suite
Skills:
Tableau, Hadoop, SQL Server, Impala, Sql, Hive, Powerbi, Spark, Databricks, Azure, Python, AWS, Salesforce, ETL processes, API integrations, Cloud Data Platforms, Master Data Management
Skills:
Data Science, Text Analytics, Nlp, Machine Learning, Pytorch, Python, Tensorflow