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Senior Data Scientist
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Senior Data Scientist
Grid Dynamics Private Limited1-4 Years
This job is no longer accepting applications
Job Description
- Developer role, ML Model implementation, experimentation & related software engineering focused
- Experience as a data scientist with preference in data analysis & forecasting algorithms
- Python, PySpark development experience a must
- 3-4 years of very good Python, PySpark development experience
- 1-2 years of software development experience - preferred
- 1-2 years of experience as a data scientist with preference in forecasting algorithms
- Basic understanding for MLOPS
- Exposure to ML models such as random forest, XGboost, LightGBM, and some other ensemble modeling algorithms
- Basic understanding for Azure Cloud Platforms (databricks, Azure ML studio, etc)
- No Phd s. BS or MS degree is Software Engineering, Computer Science or Statistics related
- Ability to learn fast and handle multiple priorities
- Developer role, ML Model implementation, experimentation & related software engineering focused
- Essential functions
- Experience on Demand forecasting Algorithms
Qualifications
- Good programming in Python
- Good understanding of ML concepts and algorithms in general. Especially, forecasting methods & math. No MLOps needed.
- Understanding of ensemble models: XGBoost, CatBoost and LGBM
More Info
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Key Skills
About Company
Skills:
Machine Learning, Natural Language Processing, Git, Pytorch, Docker, Flask, FastAPI, Python, Hugging Face Transformers, VS Code, Jupyter Notebook, Vector Databases, Large Language Models
Skills:
Statistical Analysis, Nlp, Machine Learning, Gitlab, Jira, Python, Sql, UNIX command line, Azure AI Search, Feature engineering
Skills:
snowflake , Machine Learning, Tensorflow, Nlp, Pytorch, Docker, Azure DevOps, Sql, Deep Learning, Keras, Kubernetes, MLflow, LangGraph, Vector Databases, GitHub Actions, Azure AI ecosystem, Azure AI Search, RAG architectures, LangChain, Generative AI, Semantic Kernel, Agentic AI, Statistical Modeling, Embedding Models
Skills:
data quality control , data engineering , Databricks, Python, Sql, MLops, MLflow, Data pipeline automation, Model deployment, Reproducibility practices, Model inference, Inference pipelines, Model training
Skills:
Gemini Enterprise Agent Platform (formerly Vertex AI), BigQuery, Google Cloud Platform, Power Bi, Agile Scrum, Tableau, Sql, Cloud Storage, Pandas, Numpy, XGBoost, DataFlow, Python, MarTech, CI/CD tools, scikit-learn, ADTECH, Looker, BigQuery ML, Looker Studio