Software Development Engineer Testing (SDET)

Roles and Responsibilities:

- Understands the value of digital influence or a digital influencer themselves.
- Whether on YouTube, Instagram, Facebook or other platforms, s/he will create relationships with content creators and work with them from negotiation to posting.

- Test new ideas, manage own projects and budgets, always look for new ways to grow the number.

- Identify, on-board, train, track and manage brand influencers across social and digital media platforms.

 -Implement engaging influencer and brand ambassador campaigns using research, competitive analysis, brand standards and social/digital media best practices.

-Develop and execute influencer marketing strategies and creative campaigns

- Keep abreast of emerging trends, technologies, and influencers

- Liaising with the marketing team to create and coordinate marketing strategies that work across different channels

outbound calling, voice process

ORACLE DATABASE ADMINISTRATION

• Strong C/C++ programming hands on experience
• Should have work experience on firmware development with strong Linux internals.
• Very good development, design and debugging experience on embedded firmware.
• Added advantage to have experience on Systems management/Out of Band/BMC domain experience
• Good to have automation experience using Python or shell scripting  
• Excellent communication and problem solving skills  
• Experience on tools like JIRA, Yocto, Visual studio, etc.

• Executing digital marketing strategies across channels including email, social media and display advertising campaigns
• Driving achievement of growth objectives like app installs, display, search, affiliates among others
• Improving the design, UX, traffic and content of the website
• Designing, building and maintaining organization’s social media presence
• Measuring and reporting performance of all digital marketing campaigns and assessing against goals (ROI and KPIs)
• Creating paid campaigns on social media platforms
• Identifying trends and insights, optimizing spend and performance of campaigns based on the insight
• Growing the lead volume at a sustainable cost
• Collaborating with internal teams to create landing pages and optimizing user experience
• Utilizing strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points
• Managing agencies and affiliates
• Driving maximum ROI from campaigns

What you need to have:

• MBA/ PGDM from Tier-1/2 B-School and/ or B. Tech. from a Tier I college
• Analytical skills: Keen interest in evaluating product/market situations, analyzing raw data, and transforming it into actionable marketing strategies
• Demonstrate a positive, ‘can-do’ attitude
• Willingness to roll up your sleeves and get things done
• Strong business acumen and detail orientation
• Outstanding presentation skills
• Excellent problem-solving skills
• Knowledge in OKR, Agile
• Knowledge in Jira, CRM, Power BI
• Exceptional verbal and written communication skills
• 2-4 years of experience in Digital Marketing
• Prior experience in handling campaigns development in terms of digital along with ATL/ BTL channels
• Experience in handling Campaign Management on Google, Facebook, LinkedIn, Twitter etc.
• Experience in performance marketing and affiliate marketing
• Understanding of digital marketing platforms and passion for technology
• Ability to optimize CPC and CPL in an effective manner
• Ability to manage multiple projects with varying priority at one time to deliver results on time and under budget
• High level of integrity and dependability with a strong sense of urgency and results orientation
• Thorough knowledge of web analytics (e.g. Google Analytics, Web Trends etc.) and Google AdWords    

About Mastercard

We are the global technology company behind the world’s fastest payments processing network.

We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.

We ensure every employee has the opportunity to be a part of something bigger and to change lives.

We believe as our company grows, so should you.

We believe in connecting everyone to endless, priceless possibilities.

Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.

Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.

What we are re looking for

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
• 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
• Expertise in 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 etc
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering