Associate Data Scientists (Min 1 year Experienced) CTC 8 LPA Full-time

Vitasta Consulting Private Limited

Posted By : Vitasta Consulting Private Limited

Chennai, Tamil Nadu (10)

Role - Associate Data Scientists 

Location - Chennai 

Budget - 8 LPA 

Experience - 1-3 Years 

 

Primary Skills

 Python

 Spark

 SQL

 Scientific Computing Packages (NumPy, SciPy, Scikit-learn)

 Bayesian and Frequentist Statistics

 NumPyro

 Cloud Providers (AWS, Azure)

 Oral and Written Communication

 

Secondary Skills

 Data Science

 Statistical Analysis

 Mathematical Modeling

 Machine Learning

 Prototype Development

 Data Visualization

 

IMPORTANT POINTS:

 Candidates with at least 1-3 years of experience in Data Science and/or

Statistical analysis

 Should have expertise in Python, Spark, & SQL

 Should have proficiency in writing production-grade code using scientific

computing packages such as NumPy, SciPy, Scikit-learn

 Should have familiarity with cloud providers like AWS or Azure

 

Roles & Responsibilities

Data Science organizations have an opportunity available for a Senior Data Scientist. The ideal candidate must have expertise in leading the research and development of analytic solutions with a focus on mathematical modeling, statistical methods, and machine learning processes. The candidate would also have the capacity to work in an agile development environment alongside software engineers, and a solid foundation in developing solutions for marketing, and advertising organizations.

 

Responsibilities

● Create various prototypes for research and development purposes

● Perform data analysis and design data visualizations to inform decision making and model building

● Research, design and implement analytic and mathematical approaches and algorithms

● Design and test analytical modules for Nielsen modeling and optimization platforms

● Partner with our Software Engineering department to build best-of-class web-based analytical solutions

● Document and present methodology inside and outside the company

 

Requirements

● Master's degree in Statistics, Econometrics, Operations Research, Industrial Engineering, Applied

Mathematics, Computer Science, or a related field

● 1+ yr experience working in Data Science and/or Statistical analysis

● Expertise in Python, Spark, SQL, or other modern programming languages

● Experience in using machine learning libraries and techniques

● Proficient in writing production-grade code using scientific computing packages (e.g., NumPy,

SciPy, Scikit-learn)

● Experience with Bayesian and Frequentist statistics

● Experience with NumPyro is a plus

● Familiarity with cloud providers (e.g. AWS, Azure) is a plus

● Excellent oral and written communication skills

● Quick learner with a logical mindset and analytical thinking who is passionate about technology

● Experience in short-release life-cycle (agile processes including scrum) is a plus

Role Specific Skills
  • Active Learning
  • Active Listening
  • Administration and Management
  • Category Flexibility
  • Complex Problem Solving
  • Computers and Electronics
  • Critical Thinking
  • Deductive Reasoning
  • Design
  • Engineering and Technology
  • English Language
  • Fluency of Ideas
  • Inductive Reasoning
  • Information Ordering
  • Judgment and Decision Making
  • Mathematical Reasoning
  • Mathematics
  • Monitoring
  • Near Vision
  • Number Facility
  • Operations Analysis
  • Oral Comprehension
  • Oral Expression
  • Originality
  • Problem Sensitivity
  • Programming
  • Reading Comprehension
  • Science
  • Speaking
  • Speech Clarity
  • Speech Recognition
  • Systems Analysis
  • Systems Evaluation
  • Technology Design
  • Telecommunications
  • Time Management
  • Visualization
  • Writing
  • Written Comprehension
  • Written Expression

Bachelor of Engineering (B.E) - Computer Science & Engineering

Bachelor of Technology (B.Tech) - Computer Science & Engineering

Master of Computer Applications (M.C.A) - Computer Science

Master of Computer Applications (M.C.A) - Information Technology

Master of Engineering (M.E) - Computer Science & Engineering

Master of Science (M.Sc) - Applied Mathematics

Master of Science (M.Sc) - Applied Statistics & Analytics

Master of Science (M.Sc) - Mathematics & Computational Science

Master of Science (M.Sc) - Statistics

Master of Technology (M.Tech) - Computer Science & Engineering

Master of Technology (M.Tech) - Industrial Engineering & Management

PGDM - Operations & Supply Chain

 Candidates with at least 1-3 years of experience in Data Science and/or

Statistical analysis

 Should have expertise in Python, Spark, & SQL

 Should have proficiency in writing production-grade code using scientific

computing packages such as NumPy, SciPy, Scikit-learn

 Should have familiarity with cloud providers like AWS or Azure

 

Primary Skills

 Python

 Spark

 SQL

 Scientific Computing Packages (NumPy, SciPy, Scikit-learn)

 Bayesian and Frequentist Statistics

 NumPyro

 Cloud Providers (AWS, Azure)

 Oral and Written Communication

 

Secondary Skills

 Data Science

 Statistical Analysis

 Mathematical Modeling

 Machine Learning

 Prototype Development

 Data Visualization

Journey