Essential Responsibilities:

Work in cross-functional teams to translate algorithms into commercially viable products and services.

Contribute to technical teams in development, deployment and application of applied analytics, predictive analytics and prescriptive analytics capabilities.

Develop self-learning systems that can predict failures and autocorrect based on multiple data sources

Work with the engineering team to incorporate your analyses and solutions, including working with the visualization team to create intuitive UI and rich UX stories. Partner with data engineers on data quality assessment, data cleansing and data analytics efforts

Gather and analyze data, devise innovative data science solutions and build prototypes to enable development of high-performance algorithms in scalable, product-ready code.

Initiate and propose unique and promising modeling features, develop new and innovative algorithms and technologies, pursuing patents where appropriate

Stay current on published state-of-the-art algorithms and competing technologies.

Contribute to the development of software and data delivery platforms that are service-oriented with reusable components across teams (multiple teams that can be orchestrated together into different methods for different businesses)

Research and evaluate emerging technology, industry and market trends to assist in project development and/or operational support activities to for multiple teams or complex scenarios.


MS Degree in Computer Science or in STEM Majors (Science, Technology, Engineering and Math)

A minimum of 1 years as data scientist and technical hands-on coding experience

Eligibility Requirements:

Legal authorization to work in India. We will not sponsor individuals for employment visas, now or in the future, for this job
Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen
Must be willing to travel

Must be willing to work out of an office located in Bangalore, India

Desired Characteristics:

Masters / PhD in Computer Science or in STEM Majors (Science, Technology, Engineering and Math)

Strong distributed systems and architecture knowledge, and experience with multitier architecture

Mission critical systems experience is preferred

Ability to manage complex technical projects.

Demonstrates expertise in problem solving and technical innovation.

Demonstrated experience of delivering on commitments to clients.

Demonstrates capability of ‘rolling up sleeves and getting hands dirty’.

Works well in fast paced growing environment.

Provides excellent influential communication skills and business acumen to both an arbitrator and advocate for technical issues.

Experience developing applications in an agile/DevOps environment would be a distinct advantage

Solid understanding of software development tools infrastructure

Effective teaming and problem-solving abilities

Strong interpersonal and leadership skills

Able to interface effectively with all levels of the organization and external customers

Technical Expertise:

Proven experience coding in Machine Learning/AI techniques including Deep learning techniques (RNN, CNN, GAN, etc.), Support Vector Machines; Regularization Techniques; Boosting, Random Forests, Ensemble Methods, image/video/audio processing, Bayesian modeling, time series modeling
Demonstrated experience in Parallel programming frameworks for GPUs, TPUs
Demonstrated ability to develop containerized solutions (Docker/Mesos etc)
Strong implementation experience with high-level languages and frameworks such as R, Python, Perl, Ruby, Scala, Apache Spark, Storm, SAS
Demonstrated ability to work with a variety of Deep learning frameworks including TensorFlow, Keras, Caffe, CNTK, etc
Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data including SQL and NoSQL databases
Experience with end-to-end modeling projects, from research to solutions to analytic products
Proven experience in using well-established supervised and unsupervised machine learning methods for large industry-strength data analysis problems.
Participates in enterprise strategy development, including environmental analysis, opportunity identification, value cases and business innovation portfolio development. Reviews and/or analyzes and develops architectural requirements at domain level, aligning architectural requirements with software development strategy.
Leads and facilitates the domain s architecture governance process based on EA s governance structure.
Leads teams in developing plans and assessing improvement options.

Business Acumen:

Create, analyze and manage projects that provide direct business benefit; demonstrate detailed knowledge of business operations and strategic direction, including merger acquisition opportunities
Understand industry trends and competitive landscape and the implications for your business.
Partner with business leaders to align projects with business goals and needs.


Provides technology guidance and help others throughout their domain.
Define the skills, competencies in the skills and talents for architecture team members.
Facilitates dialogues that produce new perspectives and trigger recommendations for substantial innovative / enhancements, and analysis of consequences.
Influences through others.
Uses experts or other third parties to influence.
Builds direct and “behind the scenes” support for ideas, uses chains of indirect influence.

Personal Attributes:

Challenges conventional thinking and traditional ways of operating and invites stakeholders to identify issues and opportunities.
Takes a holistic systems perspective.
Envisions, compares and contrasts multiple potential long-range enterprise-wide futures.
Empathizes with multiple points of view

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