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Cognizant
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Unknown · São Paulo, Brazil
35 open roles9 posted in 7d35 in 30d
Work-life balance 4.4Compensation & benefits 4.3Culture & values 4.3
Hiring: Engineering, Marketing, Finance and accounts
What employees say
+ Initiative the works to develop technical knowledge
− There is no time consumption
More reviews on the company profile.
Interview experience · Jr.Software Engineer
1)2Technical round (Based on Technical Skill ,Two Coding based Question,SQL) 2)Hr discussion (if selected ) Cognizant helps companies modernize technology, reimagine processes and transform experiences so they stay ahe
Average difficulty · India · 3 reports
More interview insightsJob description
Overview
Description - External
Qualifications
- Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
- Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
- Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
- Design , develop & deploy Deep learning models using Tensorflow / Pytorch
- Experience in using Deep learning models with text, speech, image and video data
- Optimize and tune Deep Learnings model for best possible accuracy
- Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
- Work with application teams, in deploying models on cloud as a service or on-prem
- Integrating AI&ML models with other applications using REST APIs and other connector technologies
- Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
- Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models
- Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
- Ability to communicate key messages effectively, and articulate strong opinions in large forums
- Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
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Job application FAQ
Last updated 8 November 2026
- How do I apply for Data Scientist at Cognizant?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Cognizant may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Scientist role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Scientist remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Data Scientist role at Cognizant?
- This is a mid-level Data Scientist role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.