Junior Data Scientist (immediate joiner only)

Skills:
Python, aws, ETL, Time Series Forecasting, Predictive Modeling, SQL,

Company Overview

VectorStack, headquartered in Bangalore, is a leader in the IT industry known for its dynamic and creative approach in delivering high-quality, high-value goods and consulting services. Our commitment to innovation and quality sets us apart, ensuring clients receive outstanding solutions with 24/7 dedicated support. We pride ourselves on resolving issues promptly and fostering an environment that supports both creativity and customer satisfaction.

Job Overview

We are seeking a Junior Data Scientist to join our team immediately. This full-time role is based in Bangalore Urban, Bengaluru, and is an exciting opportunity for those with 2 to 4 years of experience in the field. As a Junior Data Scientist, you will be an integral part of our team, helping to analyze and transform data into actionable insights to drive our business forward.

Qualifications And Skills

• Proficiency in Python (Mandatory skill) to develop algorithms and perform data analysis tasks effectively.
• Hands-on experience with Time Series Forecasting (Mandatory skill) for predictive modeling and trend analysis.
• Solid understanding of SQL (Mandatory skill) for querying databases and managing data efficiently.
• Experience with AWS for deploying models and running cloud-based analytics solutions.
• Knowledge of ETL processes to efficiently extract, transform, and load data from various sources.
• Ability to develop Predictive Modeling techniques to drive strategic decisions and business growth.
• Strong analytical skills with an attention to detail, ensuring accurate and meaningful data interpretations.
• Effective communication skills to present data-driven insights to non-technical stakeholders.
  
  

Roles And Responsibilities

• Analyze complex data sets to identify trends and patterns that can inform business strategies.
• Collaborate with cross-functional teams to integrate data solutions into business processes.
• Develop predictive models to support decision-making and enhance business performance.
• Implement and maintain data pipelines, ensuring efficient data flow across the organization.
• Utilize SQL for data manipulation and extraction to support ongoing analysis.
• Contribute to the development of analytical tools and capabilities that improve data accessibility.
• Prepare clear and concise reports to communicate analytical findings to management.
• Stay current with industry trends and emerging technologies to bring innovative solutions to the team.