Senior Data Scientist

Salesforce Developer+Einstein+Agentforce- FullstackDeveloper

6+years in salesforce with 3years in Einstein and 1yr in Agentforce

Mandatory skills: salesforce, einstein, agentforce, LWC, Apex, aura, visualforce

Role Overview

This is a junior-level inside sales and student counselling role focused on converting inbound enquiries into successful enrollments through WhatsApp communication, phone calls, and structured follow-ups.

Key Responsibilities

• Handle inbound WhatsApp chats and calls from prospective students
• Counsel candidates on course structure, certification value, and career outcomes
• Follow up with leads to convert enquiries into enrollments
• Maintain accurate CRM entries and lead-tracking records
• Meet daily and weekly conversion targets
• Adhere strictly to company-approved communication, pricing, and compliance policies

Eligibility & Requirements

• Delhi-based candidates only
• Freshers or early-career professionals welcome
• Good communication skills in English (spoken & written)
• Comfortable working in a target-driven sales environment
• Willingness to learn and follow structured sales processes

Position Overview

We're seeking a skilled Full Stack Developer to build and maintain scalable web applications using modern technologies. You'll work across the entire development stack, from database design to user interface implementation.

Key Responsibilities

• Develop and maintain full-stack web applications using Node.js and TypeScript
• Design and implement RESTful APIs and microservices
• Build responsive, user-friendly front-end interfaces
• Design and optimize SQL databases and write efficient queries
• Collaborate with cross-functional teams on feature development
• Participate in code reviews and maintain high code quality standards
• Debug and troubleshoot application issues across the stack

Required Skills

• Backend: 3+ years experience with Node.js and TypeScript
• Database: Proficient in SQL (PostgreSQL, MySQL, or similar)
• Frontend: Experience with modern JavaScript frameworks (React, Vue, or Angular)
• Version Control: Git and collaborative development workflows
• API Development: RESTful services and API design principles

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of containerization (Docker)
• Familiarity with testing frameworks (Jest, Mocha, or similar)
• Understanding of CI/CD pipelines

What We Offer

• Competitive salary and benefits
• Flexible work arrangements
• Professional development opportunities
• Collaborative team environment

What You’ll Be Doing:

● Design and build parts of our data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources using the latest Big Data technologies.

● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

● Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

● Work with machine learning, data, and analytics experts to drive innovation, accuracy and greater functionality in our data system.

Qualifications:

● Bachelor's degree in Engineering, Computer Science, or relevant field.

● 10+ years of relevant and recent experience in a Data Engineer role. ● 5+ years recent experience with Apache Spark and solid understanding of the fundamentals.

● Deep understanding of Big Data concepts and distributed systems.

● Strong coding skills with Scala, Python, Java and/or other languages and the ability to quickly switch between them with ease.

● Advanced working SQL knowledge and experience working with a variety of relational databases such as Postgres and/or MySQL.

● Cloud Experience with DataBricks

● Experience working with data stored in many formats including Delta Tables, Parquet, CSV and JSON.

● Comfortable working in a linux shell environment and writing scripts as needed.

● Comfortable working in an Agile environment

● Machine Learning knowledge is a plus.

● Must be capable of working independently and delivering stable, efficient and reliable software.

● Excellent written and verbal communication skills in English.

● Experience supporting and working with cross-functional teams in a dynamic environment.

REPORTING: This position will report to our CEO or any other Lead as assigned by Management.

EMPLOYMENT TYPE: Full-Time,

Permanent LOCATION: Remote

SHIFT TIMINGS: 2.00 pm-11:00pm IST

Skills:

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (Redux)
• Familiarity with newer specifications of ECMAScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)

1. At least 3+ years of experience in Oracle ERP/Fusion SaaS/PaaS project implementations as a technical developer

2. Completed at least 1 ERP or Oracle Cloud (Fusion) project implementations

3. Extensive Knowledge on underlying database structure for ERP/Oracle Cloud (Fusion)

4. Extensively worked on BI Publisher reports, FBDI/OTBI and Oracle Integration Cloud (OIC)

5. Have strong technical knowledge on Oracle Database SQL and PLSQL

6. VBCS development experience is an added advantage 

Roles and Responsibility

Effectively prioritizing and executing tasks in a fast-paced environment; Create full mockups of UX flows, components, and Freedom services; Create intuitive interfaces and interaction layers using best practices, the latest web trends and all available tools to augment the user experience;

Developing and annotating user flows, journeys, and persona; Illustrate design ideas with clear storyboards, process flows, sitemaps, and prototypes;

Conduct design brainstorms with product owners to understand the product details and user needs;

Drive digital design process – including websites, digital campaigns, and interactive experiences;

Defining and managing the appropriate design approach for differentiating experiences;

Create workflows, low-fi designs, high-quality designs, and other artifacts needed to collaborate and iterate from vision through execution;

Work with the Product Team including input sessions, UX reviews etc; Creating original design, typography, iconography, and art for digital screens centered around modern & industry-trending designs;

Pushing yourself and the team for continuous improvement in our design and design processes through open communication and feedback;

You’ll design the solutions, features, iterations, tests, and delightful moments that will take VRAI to the next level;

Creating frameworks and model which enable others to understand key concepts and relationships as well as generate valuable input;

Lead digital projects from strategy to conceptualization, prototyping, and final execution.

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