Data Scientist

Company Description

Nonrel Technologies is a leading IT software company committed to driving digital transformation through scalable, secure, and customized software solutions. We serve diverse industries, providing services such as custom software development, cloud computing, data analytics, and IT consulting to help organizations solve complex challenges and enhance operational efficiency. Our collaborative team of engineers, developers, and consultants works with clients to create innovative strategies that streamline processes and improve customer experiences. With a focus on quality, innovation, and reliability, we empower businesses to thrive in a fast-evolving digital landscape. Join us in shaping the future with cutting-edge technology.

Role Description

This is a full-time hybrid role for a Data Scientist. The position is based in Bengaluru, with flexibility for occasional remote work. As a Data Scientist, you will analyze extensive datasets, develop predictive models, and generate actionable insights that support decision-making. Your day-to-day tasks will include leveraging statistical methods, performing data analytics, creating data visualizations, and collaborating with cross-functional teams to interpret findings and implement data-driven strategies. Additionally, you will improve data pipelines and ensure their alignment with organizational goals.

Qualifications

Proficiency in core Data Science skills, including predictive modeling, machine learning, and algorithm development.

Strong foundation in Statistics and statistical tools for data interpretation and hypothesis testing.

Expertise in Data Analytics, with the ability to extract meaningful insights from complex datasets.

Experience in Data Visualization tools to present findings in a clear, impactful manner.

Proficiency in Data Analysis techniques to identify patterns, trends, and solutions to business challenges.

Familiarity with Python, R, SQL, or similar programming languages used in data analysis.

Hands-on experience with big data technologies such as Spark or Hadoop is a plus.

Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

Strong problem-solving and critical-thinking abilities, with exceptional attention to detail.

Excellent communication and collaboration skills to work effectively in hybrid and cross-functional environments.