Associate Architect - Bengaluru, India - Quantiphi

Quantiphi

Verified Company

Bengaluru, India

1 week ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

While technology is the heart of our business, a global and diverse culture is the heart of our success.

We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you
- you would enjoy your career with Quantiphi

Role & Responsibilities:

Developing highlevel solution architectures and working with our offshore team of bigdata engineers and decision science analysts to build, test and assess models that predict and optimize business outcomes based on client's success criteria.
Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact.
Building deep relationships with clients by understanding their stated but more importantly, latent needs.
Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence. Researching and identifying sales opportunity, generating leads, target identification and classification
Serve as a mentor or guide for junior resources / freshers.
Lead the technical discussion with the clients regarding updates / risks / blockers, etc. Fluent in communication

Skills expectation:

Handson experience with statistical tools and techniques
Great analytical skills, with expertise in analytical toolkit such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
Ability to think creatively and work well both as part of a team and as an individual contributor
Critical eye for the quality of data and strong desire to get it right.
A pleasantly forceful personality and charismatic communication style.
Someone who will raise the average effectiveness of the team. In short, we are looking for a "Difference Maker".
Experience and understanding of ML Ops
If you like wild growth and working with happy, enthusiastic overachievers, you'll enjoy your career with us_

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