Data Scientist/Data Analyst Jobs in Bangalore - Quinestrol R&D
Job Description
Job Role: Data Scientist/Data Analyst
Location: Bangalore
43% of companies experienced a high deficit of skilled resources with Advanced Analytical skills and AI implementing capabilities in the year 2021. Infobahn Softworld gives you a great opportunity to enter the world of future technologies and Innovations- Data Science, Analytics, AI, Data Visualization, and Cloud Computing.
While 2020 was a year like no other, we are living in an interesting time where data is reshaping the world, and businesses are rapidly adopting technology to gain an edge over others. Hence, there's a substantial increase in demand for technology professionals who can implement systems in data science, machine learning, and AI in Tier 1 and Tier 2 organizations working closely with us.
To help you build a sustainable career we would like you to utilize data, software and Analytical approaches in Data Science and AI to upskill and get recruited into an organization appreciating your skilling journey.
Applications invited from all Freshers and experienced candidates (0-3 yrs) aspiring to make a career in Artificial Intelligence and Advanced Analytics and Data Science.
If you wish to make a shift in your career or undergo a career transition, upskilling is essential since it allows you to learn more about the domain and acquire the required skills.
What is needed from you?
Freshers who wish to start their career in Analytics and AI and professionals who wish to
upskill or change their domain to analytics and emerging technologies are free to apply.
Educational background in any one of the following- BE/B.Tech, ME/M Tech, MSc, BSc/MSc Math's and Statistics, B Com, BCA, BSc CS, BSC IT, MSC IT, MCA
Skills relating to Mathematics/Statistics.
Natural passion towards numbers, business, coding, Analytics, and Artificial Intelligence, Machine Learning, visualization
Good verbal and written communication skills
Ability to understand domains in businesses across various sectors
Selection procedure includes
On Site interview
Specialization Test
Critical Behavioral Analysis
Final Round
Candidates who clear the above will have one-one discussions with our Career Guidance Manager for further evaluation and processing of your Resume.
All the Shortlisted candidates will be eligible to continue the corporate training with CAIA
What you can expect from us?
You will get trained on the following modules for a period of 12-14 weeks:
SQL & PLSQL
Data Wrangling using Python
Data Visualization Using Power-BI
Statistics for Machine Learning
Artificial Intelligence, Data Interpretation
Supervised & Unsupervised Learning,
NLP & Deep Learning
Cognos Analytics
Cloud Data Lake
Business intelligence & Data Visualization
Simulation Projects
Expected Outcome?
At the end of the Training you are expected to be well versed with the following:
Analysis of large and complex data sets from multiple sources
Development and evaluation of data analytics models, algorithms, and solutions
Understanding/implementation of ML algorithms, performance tuning, and reporting
Implementation of algorithms to mine targeted data and the ability to convert data into a business story
Translation of business requirements into technical requirements; Data extraction, preparation, and transformation
Identification, development, and implementation of statistical techniques and algorithms that address business challenges and adds value to the organization
Requirement Analysis and communication of findings in the form of a meaningful story with the stakeholders
Finding analytical solutions to abstract business issues.
Apply objective analysis of facts before coming to a conclusion
Job Particulars
About Company
Our business-friendly solutions help clients succeed, be future-ready, amplify human potential, and transform millions of lives.
Our clients depend on our domain-centric expertise. We are guided by our core philosophy of customer centricity, employee eccentricity, and operational excellence. Powered by strategic partnerships we enable our clients’ digital ambitions, help scale operations, and accelerate business growth.
Reorient the enterprise by moving from today’s launch-and-support paradigm to a world of streaming innovation and trailblazing technology to deliver frictionless experiences.
