VirtusaPolaris - Virtusa Corporation
We are seeking a highly motivated Data Scientist to join our team. The ideal candidate will be responsible for collecting, cleaning, and analyzing large datasets, building predictive models, and delivering actionable insights that drive business decisions.
Responsibilities
Assist in collecting, cleaning, and preprocessing large datasets from various sources.
Perform Exploratory Data Analysis (EDA) to identify patterns, trends, and insights.
Clean, process, and transform raw data to ensure accuracy and readiness for analysis.
Build and validate predictive models using statistical and machine learning techniques.
Collaborate with cross-functional teams to understand business problems and provide data-driven solutions.
Prepare reports and visualizations to communicate findings effectively to stakeholders.
Support the deployment and monitoring of machine learning models in production.
Participate in team meetings and contribute ideas for new data science projects.
Qualifications
Bachelor or Master degree in Data Science, Computer Science, Statistics, or related field.
Strong knowledge of Python, R, or similar programming languages.
Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn, Tableau).
Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Solid understanding of statistical analysis and predictive modeling.
Excellent problem-solving and communication skills.
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Responsibilities
Assist in collecting, cleaning, and preprocessing large datasets from various sources.
Perform Exploratory Data Analysis (EDA) to identify patterns, trends, and insights.
Clean, process, and transform raw data to ensure accuracy and readiness for analysis.
Build and validate predictive models using statistical and machine learning techniques.
Collaborate with cross-functional teams to understand business problems and provide data-driven solutions.
Prepare reports and visualizations to communicate findings effectively to stakeholders.
Support the deployment and monitoring of machine learning models in production.
Participate in team meetings and contribute ideas for new data science projects.
Qualifications
Bachelor or Master degree in Data Science, Computer Science, Statistics, or related field.
Strong knowledge of Python, R, or similar programming languages.
Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn, Tableau).
Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Solid understanding of statistical analysis and predictive modeling.
Excellent problem-solving and communication skills.
#J-18808-Ljbffr