Senior Data Scientist - Engineering Focused
Are you a highly skilled and experienced data scientist with a passion for engineering? Mastercard is seeking a Senior Data Scientist with a focus on engineering to join our dynamic team. As a global leader in the financial technology industry, Mastercard is continuously pushing the boundaries of innovation and data-driven solutions. We are looking for a driven individual who can utilize their technical expertise and analytics knowledge to drive business growth and enhance our engineering capabilities. If you are a self-starter with a strong engineering background and a knack for problem-solving, we want you on our team. Join us in shaping the future of data-driven engineering at Mastercard.
- Develop and implement data-driven engineering solutions to drive business growth and enhance engineering capabilities.
- Utilize technical expertise and analytics knowledge to analyze complex data sets and provide insights for decision making.
- Collaborate with cross-functional teams to identify and prioritize business needs and translate them into actionable data-driven solutions.
- Lead and contribute to the development of cutting-edge engineering tools and methodologies.
- Stay updated on emerging trends and technologies in the data science and engineering fields, and provide recommendations for their potential integration into business processes.
- Mentor and guide junior data scientists in the team, fostering a culture of continuous learning and knowledge sharing.
- Collaborate with project managers and stakeholders to define project requirements and ensure timely delivery of solutions.
- Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.
- Ensure data quality, integrity, and accuracy throughout all stages of the data engineering process.
- Proactively identify and troubleshoot technical issues, and propose solutions to improve data processes and systems.
Advanced Degree In A Relevant Field (E.g. Computer Science, Engineering, Statistics)
Extensive Experience In Data Engineering, Including Proficiency In Programming Languages Such As Python And Sql
Proven Track Record Of Developing And Deploying Large-Scale Data Infrastructure And Pipelines
Strong Understanding Of Machine Learning Techniques And Experience Implementing Them In Real-World Applications
Demonstrated Ability To Lead And Mentor A Team Of Data Scientists And Collaborate With Cross-Functional Teams To Deliver Impactful Business Solutions.
Programming
Data Analysis
Big Data
Machine Learning
Database
Data Visualization
Cloud Computing
Artificial Intelligence
Natural language processing
Data Mining
Statistical modeling
Predictive analytics
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
flexibility
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Scientist - Engineering Focused in O'Fallon, MO, USA is between $100,000 and $150,000 per year. This may vary depending on the specific company, industry, and level of experience of the individual. Some companies may also offer additional benefits and bonuses.
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Mastercard is a leader in global payments and a technology company that connects billions of consumers, thousand of financial institutions, and millions of merchants, as well as governments and businesses around the world.
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