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Data Scientist
Job Description
- Primary skills: Technology->Data Science->Machine Learning, Technology->Machine learning->data science
- Partner with stakeholders to translate business goals into data science problem statements, success metrics, and experiment plans.
- Build, evaluate, and deploy machine learning and AI models using Python, ensuring performance, robustness, and scalability.
- Develop NLP solutions such as text classification, entity extraction, topic modeling, semantic search, and summarization based on use case needs.
- Perform end-to-end data science workflows: data collection, cleaning, feature engineering, model training, validation, and monitoring.
- Experience building and optimizing NLP systems using modern approaches (e.g., embeddings, transformer-based models) and tailoring them to domain needs.
- Proven ability to design experiments, run A/B tests, and connect model improvements to measurable business outcomes.
More Info
Key Skills
Feature Engineering
Model Training
Transformer-based Models
Topic Modeling
Embeddings
About Company
Skills:
Hadoop, SAS, MATLAB, Sql, Nosql, MySQL, Spss, Spark, Oracle, Python, Teradata, R
Skills:
Data Science, Nlp, Machine Learning, Python, Ai
Skills:
Pandas, Spark, Python, Tuning the models, Tuning of Data, Lang Chain, Data frames, Core Data science skills, Gen AI, anomaly detection, Agentic AI, Product configuration, RAG, Azure AI, data models
Skills:
Pyspark, Apache Hadoop, Machine Learning, Apache Spark, Sql, Devops, Data Science, Numpy, Pandas, Powerbi, Agile, Cloudera, Databricks, Azure, Rapidminer, Python, Big data frameworks, Scikitlearn
Skills:
attribution , snowflake , BigQuery, Data Quality, Data Modeling, Sql, Spark, Databricks, Python, AI-assisted troubleshooting, ML-driven systems, campaign optimization, Trino, experimentation, RTB bidding, Data pipelines