Data Scientist
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* Design and implement data science solutions throughout the project lifecycle.
* Analyze large and complex datasets to identify trends, anomalies, and actionable insights.
* Develop and optimize machine learning models and advanced analytics workflows.
* Perform feature engineering and data preparation for predictive modeling initiatives.
* Collaborate with Product, Engineering, and Customer Success teams to translate business requirements into technical solutions.
* Lead the data science aspects of customer implementations, pilots, and production deployments.
* Build strong technical relationships with customers and external partners.
* Provide recommendations to improve products, algorithms, and analytical capabilities.
* Deliver training and knowledge transfer to end users and stakeholders.
* Support investigation and resolution of data-related and analytical challenges. Requirements
* Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative field.
* 2+ years of experience in Data Science, Data Engineering, Machine Learning, or Big Data development.
* Strong programming skills in Python and experience with PySpark.
* Hands-on experience working with large-scale data processing frameworks and machine learning pipelines.
* Experience with ML lifecycle and workflow management tools such as MLflow, Airflow, or similar platforms.
* Strong analytical, problem-solving, and statistical modeling skills.
* Ability to communicate complex technical concepts to both technical and non-technical audiences.
* Experience working directly with customers or external stakeholders is a plus. Advantages
* Experience in financial services, fraud detection, risk analytics, compliance, or transaction monitoring.
* Familiarity with cloud-based data and machine learning environments.
* Experience investigating anomalies and extracting insights from high-volume datasets.
* Knowledge of machine learning model deployment and monitoring best practices. #J-18808-Ljbffr
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