Company Overview

Technozis is an innovative leader in the Information Technology & Services industry, headquartered in Gurgaon, Haryana. With a commitment to designing and developing technology products, Technozis helps streamline business processes and enhance revenue growth. The company is a dynamic workplace with a team ranging between 51-200 employees, fostering an environment for growth and innovation. For more information, visit our website at technozis.com.

Job Overview

We are seeking a mid-level Data Scientist to join our team in Bangalore on a full-time basis. This role involves leveraging data analysis and machine learning techniques to innovate and drive business solutions. The successful candidate will play a pivotal role in integrating and deploying machine learning models to enhance business processes and decision-making frameworks.

Qualifications and Skills

• Strong proficiency in Python (Mandatory skill) and expertise in implementing algorithms and data structures.
• Advanced knowledge of AI/ML (Mandatory skill) to design, implement, and validate robust algorithms and models.
• Proven experience with SQL for data extraction and manipulation across various data sources to support machine learning efforts.
• Hands-on experience with Machine Learning frameworks and libraries such as TensorFlow and PyTorch.
• Ability to create meaningful data visualizations to effectively communicate insights and influence strategy decisions.
• Skilled in handling and processing large data sets using Big Data Technologies to improve analytical efficiency.
• Strong analytical skills to uncover insights from complex data and drive fact-based decision-making.
• Excellent problem-solving abilities and can work independently on unfamiliar datasets, making sense of the patterns and narratives.

Roles and Responsibilities

• Develop and implement advanced machine learning models and predictive algorithms to solve business problems.
• Collaborate with cross-functional teams to integrate analytics across business units and implement real-world solutions.
• Analyze large, complex datasets to extract insights that will inform strategic decisions and product enhancements.
• Deploy scalable models and ensure the technology stack aligns with organizational data strategies.
• Engage in continuous learning to incorporate new techniques and methodologies into project work.
• Communicate results and recommendations clearly to stakeholders to drive data-driven decision-making.
• Work with data engineers to ensure data quality and accessibility for ongoing and new analytics initiatives.
• Maintain documentation of work processes, source data, and analytics models for future reference and continuous improvement.