9 Data Scientists jobs in Gurugram

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**Description**
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
**Job overview and responsibilities**
The Data Engineer role will work closely with a team of business analysts, data scientists and software developers to design, provision and implement data solutions to assist our business in setting up systems for data driven growth. Overall, this position will strive for efficiency by aligning data systems with the organization's business goals.
+ Gather and organize data from various sources to build data systems and pipelines using Big Data & cloud technologies like AWS Glue, S3, Athena, Lambda, Spark, Redshift
+ Combine raw information from different sources including but not limited to on-prem/cloud RDBMS, files & API's based data providers
+ Evaluate business requirements and objectives for a given use case implementation
+ Explore ways to enhance data quality and reliability to ensure a standardized data layer is being created on the data lake in AWS. Make use of deequ framework to create a DQ layer
+ Conduct data analysis and report on results in a clear and effective manner to business analysts
**This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.**
**Qualifications**
**What's needed to succeed (Minimum Qualifications):**
+ Bachelor's degree in Information Technology, Computer Engineering
+ Bachelor of Technology
+ Entry level position / 0-1 year of experience in data engineering, Machine Learning.
+ Strong problem-solving and analytical thinking capabilities
+ Excellent interpersonal and communication skills
+ Eager learner
+ Must be legally authorized to work in India for any employer without sponsorship
+ Must be fluent in English and Hindi (written and spoken)
+ Successful completion of interview required to meet job qualification
+ Reliable, punctual attendance is an essential function of the position
**What will help you propel from the pack (Preferred Qualifications):**
+ 2+ year of experience in data engineering, Gen Ai
+ Python, SQL, Spark
+ AWS

Description
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build and deploy advanced ML systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning team for India Consumer Businesses.
Machine Learning, Big Data and related quantitative sciences have been strategic to Amazon from the early years. Amazon has been a pioneer in areas such as recommendation engines, ecommerce fraud detection and large-scale optimization of fulfillment center operations. As Amazon has rapidly grown and diversified, the opportunity for applying machine learning has exploded. We have a very broad collection of practical problems where machine learning systems can dramatically improve the customer experience, reduce cost, and drive speed and automation. These include product bundle recommendations for millions of products, safeguarding financial transactions across by building the risk models, improving catalog quality via extracting product attribute values from structured/unstructured data for millions of products, enhancing address quality by powering customer suggestions
We are developing state-of-the-art machine learning solutions to accelerate the Amazon India growth story. Amazon India is an exciting place to be at for a machine learning practitioner. We have the eagerness of a fresh startup to absorb machine learning solutions, and the scale of a mature firm to help support their development at the same time. As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real-world machine learning problems that make a difference to millions of our customers. We encourage thought leadership and blue ocean thinking in ML.
Key job responsibilities
Use machine learning and analytical techniques to create scalable solutions for business problems
Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
Design, develop, evaluate and deploy, innovative and highly scalable ML models
Work closely with software engineering teams to drive real-time model implementations
Work closely with business partners to identify problems and propose machine learning solutions
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance
Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production
Leading projects and mentoring other scientists, engineers in the use of ML techniques
About the team
International Machine Learning Team is responsible for building novel ML solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom-line and top-line of India business. Learn more about our team from Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. 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._
**Title and Summary**
Manager Data Scientist
About Mastercard:
Mastercard is a leading global technology company in the payments industry. Our mission is to connect and empower an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Leveraging secure data, robust networks, strategic partnerships, and our commitment to innovation, we enable individuals, financial institutions, governments, and businesses to realise their full potential. With a presence in over 210 countries and territories, we are dedicated to building a sustainable world that unlocks priceless possibilities for all, driven by our core value of decency.
___
About the Team:
The Optimization Solutions team focuses on enhancing digital payment performance across all Mastercard products and regions. As consumer preferences evolve towards digital payments, we prioritise delivering a seamless and secure experience. The team analyses digital performance metrics, identifies factors influencing outcomes, and monitors broader industry trends. We generate actionable, data-driven insights and recommendations, collaborate with external stakeholders to implement optimisation solutions, and work cross-functionally to ensure alignment and execution.
Position: Manager - Data Scientist
___
The Role
As part of the Optimization Solutions team, the role involves:
- Collaborating with global teams to develop and maintain advanced analytics and data science tools.
- Building machine learning solutions to generate actionable insights for product optimization and sales enablement.
- Prototyping, experimenting with, and evaluating new algorithms.
- Driving product evolution through data science and engineering.
- Designing self-running AI systems to automate predictive models.
- Performing data ingestion, aggregation, and processing on high-volume, high-dimensional data.
- Innovating with new tools, techniques, and technologies to solve business problems.
- Applying metrics, measurements, and benchmarking to complex solutions.
___
All About You
Education & Experience:
- Strong academic background in Computer Science, Data Science, Technology, Mathematics, Statistics, or a related field-or equivalent work experience.
- Experience in data management, mining, analytics, reporting, product development, and quantitative analysis.
Technical Skills:
- Proficiency in Python, Spark, Hadoop platforms (Hive, Impala, Airflow, NiFi), and SQL.
- Familiarity with machine learning frameworks, libraries, data structures, and software architecture.
- Experience with BI platforms like Tableau or Power BI is a plus.
Analytical & Communication Skills:
- Strong analytical skills with a proven ability to translate data into compelling insights.
- Experience interacting with stakeholders to understand technical needs and deliver effective solutions.
- Ability to articulate the business value of products and contribute to sales enablement.
Work Style:
- Comfortable working in a fast-paced, deadline-driven environment.
- Effective as both a team player and an individual contributor.
**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.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. 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._
**Title and Summary**
Senior Data Scientist
Overview
Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.
- Are you excited about Data Assets and the value they brings to an organization?
- Are you an evangelist for data driven decision making?
- Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?
- Do you want to be the go-to resource for data analytics in the company?
The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.
Role & Responsibilities
- Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services.
- Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights.
- Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions.
- Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects
- Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint.
- Apply quality control, data validation, and cleansing processes to new and existing data sources.
- Lead, mentor and guide more junior team members.
- Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
- Bring your Passion and Expertise
All About You
- Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
- Financial Institution or a Payments experience a plus
- Experience presenting data findings in a readable and insight driven format. Experience building support decks.
- Advanced SQL skills, ability to write optimized queries for large data sets (Big data)
- Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack
- Experience with data visualization tools such as Looker, Tableau, PowerBI
- Experience with Python, R, a plus
- Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage
- Excellent problem solving, quantitative and analytical skills
- In depth technical knowledge, drive and ability to learn new technologies
- Strong attention to detail and quality
- Team player, excellent communication skills
- Must be able to interact with management, internal stakeholders and collect requirements
- Must be able to perform in a team, use judgment and operate under ambiguity
Education
- Bachelor's or Master's Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred
Additional Competencies
- Excellent English, quantitative, technical, and communication (oral/written) skills
- Analytical/Problem Solving
- Strong attention to detail and quality
- Creativity/Innovation
- Self-motivated, operates with a sense of urgency
- Project Management/Risk Mitigation
- Able to prioritize and perform multiple tasks simultaneously
**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.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. 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._
**Title and Summary**
Senior Data Scientist
Our Vision
AI COE 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
Join Mastercard's AI COE @ Gurgaon, a strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate.
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
- 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
- 6+ years of experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch
- 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 embracing 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
- Bachelor's degree required. Advanced degree in Management, Mathematics, Computer Science, Engineering, or other quantitative fields desirable
- Some international travel required
**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.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. 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._
**Title and Summary**
Senior Data Scientist
Job Description
Product Data & Analytics Team
Senior Data Scientist - Product Data & Analytics
Overview
Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.
- Are you excited about Data Assets and the value they bring to an organization?
- Are you an evangelist for data driven decision making?
- Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?
- Do you want to be the go-to resource for data analytics in the company?
The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.
Role & Responsibilities
- Work closely with global & regional teams to architect, develop, and maintain data engineering, advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services.
- Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights.
- Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions.
- Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects
- Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint.
- Apply quality control, data validation, and cleansing processes to new and existing data sources.
- Lead, mentor and guide more junior team members.
- Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
- Bring your Passion and Expertise
All About You
- Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
- Financial Institution or a Payments experience a plus
- Experience presenting data findings in a readable and insight driven format. Experience building support decks.
- Advanced SQL skills, ability to write optimized queries for large data sets (Big data)
- Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack
- Experience with data visualization tools such as Looker, Tableau, PowerBI
- Experience with Python, R, Databricks a plus
- Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage
- Excellent problem solving, quantitative and analytical skills
- In depth technical knowledge, drive and ability to learn new technologies
- Strong attention to detail and quality
- Team player, excellent communication skills
- Must be able to interact with management, internal stakeholders and collect requirements
- Must be able to perform in a team, use judgment and operate under ambiguity
Education
- Bachelor's or Master's Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics
Additional Competencies
- Excellent English, quantitative, technical, and communication (oral/written) skills
- Analytical/Problem Solving
- Strong attention to detail and quality
- Creativity/Innovation
- Self-motivated, operates with a sense of urgency
- Project Management/Risk Mitigation
- Able to prioritize and perform multiple tasks simultaneously
**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.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. 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._
**Title and Summary**
Senior Data Scientist, Product Data & Analytics
Senior Data Scientist, Product Data & Analytics
Our Vision:
Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions by working closely with the business. We influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions.
- Are you excited about Data Assets and the value they bring to an organization?
- Are you an evangelist for data driven decision making?
- Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across the continents?
- Are you interested in proactively looking to improve data driven decisions for a global corporation?
Role
- Responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions.
- Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post- implementation reviews.
- Contributes to the development of custom analyses and solutions, derives insights from extracted data to solve critical business questions.
- Activities include developing and creating predictive models, behavioural segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations.
- Able to develop AI/ML capabilities, as needed on large volumes of data to support analytics and reporting needs across products, markets and services.
- Able to build end to end reusable, multi-purpose AI models to drive automated insights and recommendations.
- Leverage open and closed source technologies to solve business problems.
- Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets, and services. Support initiatives in developing predictive models, behavioural segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations.
- Translates client/ stakeholder needs into technical analyses and/or custom solutions in collaboration with internal and external partners, derive insights and present findings and outcomes to clients/stakeholders to solve critical business questions.
- Create repeatable processes to support development of modelling and reporting
- Delegate and reviews work for junior level colleagues to ensure downstream applications and tools are not compromised or delayed.
- Serves as a mentor for junior-level colleagues, and develops talent via ongoing technical training, peer review etc.
All About You
- 6-8 years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis.
- Advanced SQL skills, ability to write optimized queries for large data sets.
- Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other relevant technologies.
- Data visualization tools (Tableau, Domo, and/or Power BI/similar tools) experience is a plus
- Experience with data validation, quality control and cleansing processes to new and existing data sources.
- Experience on Classical and Deep Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, NLP, etc.
- Experience on Deep Learning algorithm techniques, open-source tools and technologies, statistical tools, and programming environments such as Python, R, and Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning.
- Experience in automating and creating data pipeline via tools such as Alteryx, SSIS. Nifi is a plus
- Financial Institution or a Payments experience a plus
Additional Competencies
- Excellent English, quantitative, technical, and communication (oral/written) skills.
- Ownership of end-to-end Project Delivery/Risk Mitigation
- Virtual team management and manage stakeholders by influence
- Analytical/Problem Solving
- Able to prioritize and perform multiple tasks simultaneously
- Able to work across varying time zone.
- Strong attention to detail and quality
- Creativity/Innovation
- Self-motivated, operates with a sense of urgency.
- In depth technical knowledge, drive, and ability to learn new technologies.
- Must be able to interact with management, internal stakeholders
Corporate Security Responsibility
Responsibilities
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. #AI
**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.

Description
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise's use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world's AI technology?
At AWS ProServe India LLP ("ProServe India"), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI.
AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we'd like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers.
If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office.
Key job responsibilities
A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include:
- Understand the internal customer's business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances .
- Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
- Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models.
- Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models.
- Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data.
- Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built.
- Assist internal customers with identifying model drift and retraining models.
- Research and implement novel ML and DL approaches, including using FPGA.
This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune.
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 7+ years of professional or military experience, including a Bachelor's degree.
- 7+ years managing complex, large-scale projects with internal or external customers.
- Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
- Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers.
Preferred Qualifications
- 7+ years of IT platform implementation in a technical and analytical role experience.
- Experience in consulting, design and implementation of serverless distributed solutions.
- Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects.
- Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating systems.
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