TSP Technical CoE- AI/ML Data Scientist

Overview

Design, develop, and deploy AI/ML solutions and analytics models for clients.

Key Responsibilities

• feature engineering
• model development
• model deployment
• data integration
• poc development
• client delivery

Tasks

Role summary: Join the founding team and scale Cyient’s technical CoE for AI/ML with responsibilities across architecting solutions for deal pursuit and client engagements, PoC development, delivery of client engagements, focused IP/ accelerator development Key interfaces: Offering owners and SMEs across industry verticals, Solution architects, delivery head, digital sales team, account sales team, account delivery team A Data Scientist applies strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team. -Collaborate, coach, and learn with a growing team of experienced Data Scientists -Engineer features by using their business acumen to find new ways to combine disparate internal and external data sources -Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniquesand tools -Stay connected with external sources of ideas through conferences and community engagements -Effectively communicate the analytics approach and how it will meet and address objectives to business partners -Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers -Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products -Share their passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards -Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems

Requirements

• python
• sql
• machine learning
• spark
• tableau
• bachelor's

What You Bring

Digital Experience/Individual Skills -Bachelor’s degree required, MS or PhD preferred -Exceptional communication and collaboration skills to understand business partner needs and deliver solutions -Number sense; healthy skepticism around validity of data and its inherent biases -Demonstrated ability to efficiently learn and solve new business domains and problems -Bias for action, with ability to deliver outstanding results through task prioritization and time management -Must have Python proficiency working with DataFrames -Experience with data visualization tools preferred — Tableau, Plotly, etc. -Experience with Big Data technologies desired — Spark, Cloud AI platforms, containerization -Intellectual curiosity to understand and answer questions -Exemplary organizational skills with attention to detail & accuracy -Must have proficiency writing complex SQL queries -Intellectual humility to leverage the expertise of others -Experience with supporting deployment, monitoring, maintenance and enhancement ofmodels desired -Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets -Must have proven ability to merge and transform disparate internal & external data sets together to create new features -Ability to coach, mentor, and collaborate with business partners, analysts, and team members -Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience

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About Cyient

-Rebranded from IT to intelligent engineering and tech solutions, shifting focus in 1991. -Operates globally with delivery centers across North America, Europe, Asia-Pacific, and Australia. -Provides advanced services including digital transformation, CAD/CAE, geospatial services, embedded systems, and turnkey semiconductor design. -Specializes in heavy-industry collaborations with aerospace, energy, transportation, utilities, and semiconductor clients.

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