Senior Specialist, Product Development Job Vacancy in MasterCard Gurgaon, Haryana – Updated today

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Full Details :
Company Name : MasterCard
Location : Gurgaon, Haryana
Position :

Job Description : Our Purpose
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.
Job Title
Senior Specialist, Product Development
Our Vision

AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency.

Opportunity

Lead a team of Data Science professionals in Mastercard’s AI Garage @ Gurgaon, a newly created strategic business unit within Mastercard, executing on identified use cases for product optimization and operational efficiency securing Mastercard’s competitive advantage through all things AI.

Role

Be an AI subject matter expert at Mastercard, responsible for end-to end ownership and execution of assigned AI responsibilities
Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard
Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases
Gather relevant information to define the business problem interfacing with global stakeholders
Creative thinker capable of linking AI methodologies to identified business challenges
Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models
Develop AI/ML solutions/applications leveraging the latest industry and academic advancements
Leverage open and closed source technologies to solve business problems
Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda
Partner with technical teams to implement developed solutions/applications in production environment
Support a learning culture continuously advancing AI capabilities

All About You

Experience

Prior experience leading and developing high performing teams with an emphasis on execution and through-put
Proven track record of developing and implementing AI strategies at scale, solving identified business problems and achieving optimization in the product development and management lifecycle in addition to operational efficiencies
Demonstrated leader capable of executing the AI agenda while managing complex variables including Information and Data Governance, Data Management, Information Security, Privacy & Compliance, Content Life cycle Management, and Records Retention Demonstrated ability to deliver high quality AI solutions in a matrix organization, thinking out of the box and solving hard problems while navigating through ambiguity
8+ years of experience in the Data Sciences field with a focus on AI strategy and execution, developing solutions from scratch, and building local and global teams
Demonstrated expertise in the Data Sciences with established credibility in the field including patent submissions and experience working with start-ups
Demonstrated passion for AI competing in sponsored challenges such as Kaggle
Previous experience with or exposure to:
o Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL

o Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning

o Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems – Collaborative Filtering, FPMC, FISM, Fossil

o Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing

o Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus

Exposure or experience using collaboration tools such as:
o Confluence (Documentation)

o Bitbucket/Stash (Code Sharing)

o Shared Folders (File Sharing)

o ALM (Project Management)

Knowledge of payments industry a plus
Experience with SAFe (Scaled Agile Framework) process is a plus

Effectiveness

Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum
Capable of navigating a complex organization in a relentless pursuit of answers and clarity
Enthusiasm for Data Sciences enabling the identification, design, and deployment of optimal AI and machine learning business opportunities and the creative application of AI techniques to improve an organization’s effectiveness
Proven thought-leadership when evaluating business problems and architecting a cohesive solution
Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation
Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment
Incredible attention to detail and focus instilling confidence without qualification in developed solutions

Core Capabilities

Strong written and oral communication skills
Strong project management skills
Experience leading teams a plus
Bachelor’s degree required. Advanced degree in Management, Mathematics, Computer Science, Engineering, or other quantitative fields desirable
Some international travel required
COVID-19 Considerations
We value the safety of each member of our community because we know we’re all in this together. In many locations, which may change over time, we’ve implemented a virtual hiring process and continue to interview candidates by video or phone. In addition, in some locations, only individuals who have been fully vaccinated will be permitted inside Mastercard offices until further notice.
In the US, Mastercard is a government contractor, which may legally require most Mastercard employees to be vaccinated unless a verified approved medical or religious exemption is granted. Further, we are currently making every effort towards having employees return to work in the office 2 days per week, if that makes sense for their team. Everyone must be vaccinated to enter Mastercard offices at this time. Therefore, we expect all candidates to be vaccinated or to be approved for a medical or religious accommodation prior to commencing work at Mastercard.
Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
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.

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