- Solve problems using ML algorithms like kNearest Neighbours, Naive Bayes, SVM, Decision Forests, XGBoost.
- Play a significant role in facilitating the adoption of advanced algorithms and data mining strategies.
- Develop Data Pipelines & platforms to operationalize Machine Learning models at scale.
- Introduce new practices and procedures for efficient ML engineering, aligning with core subject matter expertise.
- Establish best practices for code optimization, model and system validation, and model governance.
- Bachelor's degree in Statistics/engineering.
- 5+ years of relevant experience in data science model building.
- Innovative problemsolving approach.
- Proficiency in analyzing data, spotting trends and patterns, and feature engineering.
- Proficient in machine learning, specifically creating solutions with Neural Network/Deep learning.
- Familiarity with data science tools, frameworks, and data engineering tools like Python, Spark, Tensorflow/Pytorch, etc.
- Expertise in Data Mining, Data transformation, and Database building (ETL, SQL OLAP).
- Ability to pick up new skills swiftly on the job.
- Knowledge of specific domains such as ecommerce, edutech, retail.
- Extensive experience in managing real-time analytics with Big Data.
- Proficiency in utilizing one or multiple Data Science Platforms like Databricks, AzureML, Sagemaker.
- Hands-on experience with Teradata, Hadoop.
- Understanding of MLOps platform will be a valuable asset.
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Data Scientist - Bengaluru, India - Creative Synergies Group
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