Principal Data Scientist

Job Description: We are looking for leaders in the data science domain, who should not only be passionate about building new algorithms and filing patents but can solve business problems using innovative and unique applied engineering concepts on big data.

The principal data scientist is responsible to ensure that the delivery of data science solution is meeting the laid-out standards and commitments that Quadratyx has made to its clients.

Apart from continuously improvising the data science expertise of the company, the principal data scientist needs to handle the research and development team with equal focus.

Requisites Education: Bachelor's / Master degree is required in relevant field, Ph.D. degree will be preferred.

Experience (Years): 9 plus years of relevant experience in delivering solutions using AI tools and machine learning algorithms, with proven expertise in data science research and awarded patents

Job Responsibilities Lead a team of data scientists in developing and delivering machine learning models that work in a real-life production environment

Collaborate with other department heads on delivery of projects

Lead pre-sales responsibilities to deliver proposals

Monitor the projects and sprints planned for data science team

Ensure adoption of latest data science technologies

Continuously challenge the model outcome and better the results

Research to solve business problems where the creative ideas may have exhausted to do so

Follow agile methodology in an iterative software development environment: committing to deadlines, owning work, and providing project status updates when necessary

Own strategic thought leadership for the subject of enterprise-wide machine learning capabilities

Dig deeper into data, understand characteristics of data, evaluate alternate models, and validate hypothesis through theoretical and empirical approaches

Represent Quadratyx in data science conferences and interact with business leaders

Publications in internal journals of repute and build patentable research outputs

Skills Technical Skills Must have Relevant industry experience in handling high volumes of structured and unstructured data

Implementation expertise in area of Quantitative Analytics spanning statistical modeling, machine learning, optimization methods, econometrics, graph theories, artificial intelligence, text mining and Natural Language Processing

Solution delivery experience in deep learning methods

Expertise in exploiting parallel computing environments like clusters on big data platforms like Hadoop etc.

Proven skills in programming using any languages like Python, R, Scala, MATLAB

Preferable to have Problem solving experience in maturing big data platforms

Hands-on experience in tools and components used to assimilate and analyze big data

Experience with data visualization tools to develop descriptive analysis

Experience in deploying solutions on cloud platforms like Azure, AWS

Other Skills Provable Excellence In Past Record

Problem solving and analytical skills

A penchant to excel, a strong urge to research and deliver

Strong communication, interpersonal and leadership skills

An inclusive attitude to respect diverse individuals and perspectives