Data Scientist

Job Description:

Job Description:

The Data Scientist is a professional specialized in analyzing and interpreting large data sets to extract valuable insights that support business decision-making. They use advanced analysis and modeling techniques to discover patterns, trends, and opportunities, contributing to the organization's strategic success.

Responsibilities:

1. Data Analysis: Perform exploratory data analysis (EDA) to understand the nature and distribution of data sets, identifying patterns and trends.
2. Predictive Model Development: Design, implement, and validate predictive models using machine learning and statistical techniques.
3. Insight Extraction: Translate complex data analysis results into understandable and actionable insights to support decision-making.
4. Model Optimization: Continuously improve the accuracy and effectiveness of existing models through tuning, optimization, and validation.
5. Cross-Departmental Collaboration: Collaborate with business teams, data engineers, and other data scientists to understand organizational challenges and objectives.
6. Communicating Results: Prepare reports and presentations to communicate results and recommendations to non-technical audiences.
7. Data Validation: Verify the quality and consistency of the data used in analyses, identifying and addressing potential issues.
8. Prototyping: Create prototypes and proofs of concept to evaluate the viability and effectiveness of new techniques or models.

Requirements:

• Previous experience in data science or data analysis roles.
• Deep understanding of machine learning, statistics, and predictive analytics techniques.
• Advanced programming skills, preferably in Python or R.
• Experience using data science libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch).
• Ability to clearly communicate technical results to non-technical audiences.
• Analytical skills and ability to address complex data challenges.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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