Mastercard
Lead Data Scientist
Toronto, Canada (Ethoca), CA
Sponsorship not specified$127k-$203kDetected 23 hours ago
PythonRAlgorithmsSQLSnowflakeDatabricksAzureLinuxMachine LearningDeep LearningTensorFlowPyTorchData AnalysisData ScienceSAPResearchCommunicationPublic SpeakingHadoop
> stay_score
odds of building a lasting career here
64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential.
- We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences.
Responsibilities
- Develop data-driven solutions to address business challenges using appropriate techniques (AI, ML, DL, etc.)
- Build and execute various data science projects for product and business use cases across the Ethoca organization (both product and technology).
- Deploy, document, maintain and monitor the developed solutions
- Build prototypes and proof-of-concepts and conduct tool evaluations.
- Collaborate with internal teams and across other Mastercard teams
- We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible.
- Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
- Lead Data Scientist
Requirements
- Will consider even 3+ years if candidate has a Ph.D. from relevant areas.
Nice to have
- We hire the most qualified candidate for the role.
- The Reasonable Accommodations team will respond to your email promptly.
- This posting reflects one or more current openings on our team.
Skills
- Python, R Programming
- ML Frameworks (Scikit learn) and Deep Learning Framework (TensorFlow, PyTorch)
- SQL, SAP HANA, Hadoop, Snowflake databases
- Linux, Azure environment, Azure Machine Learning, and Databricks
- Nice to have:
- In addition to the above, identify new challenges that can be solved using the data.
- Generate new innovative ideas that can potentially add value to the organization.
- Corporate Security Responsibility
- Abide by Mastercard's security policies and practices
- Ensure the confidentiality and integrity of the information being accessed
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Compensation
- In line with Mastercard's total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role an
Benefits
- Substantial experience in developing and deploying Machine learning and Deep learning solutions end-to-end (data exploration to deployment).
- Deep understanding of different Machine learning, Deep learning, and AI algorithms and the math behind it.
Company info
- Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company.
- Together with our customers, we're helping build a sustainable economy where everyone can prosper.
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This listing is sourced directly from Mastercard's careers page and normalized into a canonical job model.