479 IT & Software Developer jobs in the US
Lead Data Scientist - Machine Learning Expert
$166,000 - 265,000
Mastercard
Purchase Street 2000, New York
$166,000 - 265,000
Requirements
Must:
- Proficiency in programming with Python and/or R
- Experience with ML frameworks like TensorFlow, PyTorch, scikit-learn, and/or Spark/ML
- Familiarity with model deployment using containers such as Kubernetes and/or Docker
- Skills in anomaly detection and model/data drift analysis relating to production ML models
- Ability to build and maintain ML production pipelines
- Strong verbal and written communication skills
- Bachelor of Science in Computer Science, Engineering, Mathematics, or a related field
- Experience with a Fortune 500 company is advantageous
Responsibilities
In this position, you will:
- Design, develop, and conduct research on ML systems
- Analyze, transform, and enhance data science prototypes
- Clean, aggregate, and manage large datasets from platforms like Cloudera, AWS, Azure, and Splunk
- Develop and maintain applications in Linux environments
- Conduct statistical analyses of data
- Iteratively train and retrain machine learning systems and models
- Expand existing ML frameworks and libraries
- Create data visualizations and compelling narratives using tools such as Tableau, Jupyter, RShiny, and/or d3s
- Perform graph analytics using Python, R, or TigerGraph
Description
At Mastercard, our mission is to connect and empower an inclusive digital economy that benefits everyone. With a presence in over 210 countries and territories, we are dedicated to building a sustainable world full of priceless opportunities. Our AI Services team seeks a data scientist keen on operationalizing and scaling ML/AI applications to contribute to various data science projects. This role involves collaborating with top-tier data scientists focused not only on model-building but also on resolving critical business issues. We strive for a culture that prioritizes security and integrity, ensuring that all team members uphold our security policies and report any potential violations. We are proud to be an equal opportunity employer, and we provide a competitive compensation package, including benefits for full-time and certain part-time employees.
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 479 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
bunny.net, Studio Trois Γtoiles Design, AC Americas, Giesecke+Devrient, National Mattress Canada, Perri's Corporation, Caribou Thunder among others, are currently hiring for Data roles in the United States.
The company with most openings is Leidos as they are hiring for 92 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Leidos as they are hiring for 92 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.