Jobs via Dice
Miracle Software Systems – Data Scientist (Senior Associate)
Miracle Software Systems, Inc. is seeking a Data Scientist (Senior Associate) with strong analytical, modeling, and cloud skills to join our innovative team. The ideal candidate will transform raw data into actionable insights and deploy scalable machine learning solutions in production environments.
Required Skills
Python (data wrangling, ML model building, visualization)
Google Cloud Platform
BigQuery, Cloud Run
Experience Required
5–8 years of hands‑on experience in Data Science or related analytics roles at a senior associate level.
Responsibilities
Acquire, clean, and process complex real‑world data from multiple sources for analysis and modeling.
Perform Exploratory Data Analysis (EDA) to identify patterns, relationships, and hidden insights.
Translate business challenges into data‑driven solutions using advanced analytics and ML techniques.
Develop, train, and evaluate statistical and machine learning models for prediction, classification, and forecasting.
Collaborate with engineering and product teams to deploy and monitor models in production (Cloud Run, APIs, etc.).
Present findings and recommendations to both technical and non‑technical stakeholders.
Continuously enhance model performance and stay updated on the latest ML and cloud innovations.
Education
Master’s Degree required (Manager will not accept Bachelor’s degree)
Ph.D. preferred
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Required Skills
Python (data wrangling, ML model building, visualization)
Google Cloud Platform
BigQuery, Cloud Run
Experience Required
5–8 years of hands‑on experience in Data Science or related analytics roles at a senior associate level.
Responsibilities
Acquire, clean, and process complex real‑world data from multiple sources for analysis and modeling.
Perform Exploratory Data Analysis (EDA) to identify patterns, relationships, and hidden insights.
Translate business challenges into data‑driven solutions using advanced analytics and ML techniques.
Develop, train, and evaluate statistical and machine learning models for prediction, classification, and forecasting.
Collaborate with engineering and product teams to deploy and monitor models in production (Cloud Run, APIs, etc.).
Present findings and recommendations to both technical and non‑technical stakeholders.
Continuously enhance model performance and stay updated on the latest ML and cloud innovations.
Education
Master’s Degree required (Manager will not accept Bachelor’s degree)
Ph.D. preferred
#J-18808-Ljbffr