4+ Regression analysis Jobs in India

Company Profile:

The company is World's No1 Global management consulting firm.

Job Qualifications
 Graduate or post graduate degree in statistics, economics, econometrics, computer science,
engineering, or mathematics
 2-5 years of relevant experience
 Adept in forecasting, regression analysis and segmentation work
 Understanding of modeling techniques, specifically logistic regression, linear regression, cluster
analysis, CHAID, etc.
 Statistical programming software experience in R & Python, comfortable working with large data
sets; SAS & SQL are also preferred
 Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify
root causes and recommend solutions
 Excellent time management skills
 Good written and verbal communication skills; understanding of both written and spoken English
 Strong interpersonal skills
 Ability to act autonomously, bringing structure and organization to work
 Creative and action-oriented mindset
 Ability to interact in a fluid, demanding and unstructured environment where priorities evolve
constantly and methodologies are regularly challenged
 Ability to work under pressure and deliver on tight deadlines

 

 

What you need to have:

Data Scientist : Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, and IoT tailored solutions to accelerate business transformation.We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries. We are a Google premium partner in AI & ML, which means you'll have the opportunity to work and collaborate with folks from Google. Are you an innovator, have a passion to work with data and find insights, have the inquisitive mind with the constant yearning to learn new ideas; then we are looking for you.As a Pluto7 Data Scientist engineer, you will be one of the key members of our innovative artificial intelligence and machine learning team. You are expected to be unfazed with large volumes of data, love to apply various models, use technology to process and filter data for analysis. Responsibilities: Build and Optimize Machine Learning models. Work with large/complex datasets to solve difficult and non-routine analysis problems, applying advanced analytical methods as needed. Build and prototype data pipelines for analysis at scale. Work cross-functionally with Business Analysts and Data Engineers to help develop cutting edge and innovative artificial intelligence and machine learning models. Make recommendations for selections on machine learning models. Drive accuracy levels to the next stage of the given ML models. Experience in developing visualisation and User Good exposure in exploratory data analysis Strong experience in Statistics and ML algorithms. Minimum qualifications: 2+ years of relevant work experience in ML and advanced data analytics(e.g., as a Machine Learning Specialist / Data scientist ). Strong Experience using machine learning and artificial intelligence frameworks such as Tensorflow, sci-kit learn, Keras using python. Good in Python/R/SAS programming. Understanding of Cloud platforms like GCP, AWS, or other. Preferred qualifications: Work experience in building data pipelines to ingest, cleanse and transform data. Applied experience with machine learning on large datasets and experience translating analysis results into business recommendations. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. Demonstrated willingness to both teach others and learn new techniques Work location : Bangalore