Senior Data Scientist

Job Code – AG5115

Industry experience: 10+ Years
Location: Pune

DevOps Engineer

Industry experience: 10+ Years
Location: Pune
Agivant is a new-age AI-First Digital and Cloud Engineering services company that drives Agility and Relevance for our client’s success.
Powered by cutting-edge technology solutions that enable new business models and revenue streams, we help our customers achieve their trajectory of growth.
Agility is a core muscle, an integral part of the fabric of a modern enterprise.
To succeed in an ever-changing business environment, every modern organization needs to adapt and renew itself quickly. We help foster a more agile approach to business to reconfigure strategy, structure, and processes to achieve more growth and drive greater efficiencies.
Relevance is timeless, and is the only way to survive, and to thrive.
The quest for relevance defines the exponential acceleration of humanity. This has presented us with a slew of opportunities, but also many unprecedented challenges. With technology-led innovation, we help our customers harness these opportunities and address the myriad challenges.
Role Description
Data scientist specializes in collecting, processing, analyzing, and interpreting large and complex datasets using statistical and machine learning techniques.
Core Responsibilities
  • Collecting and processing large datasets from various sources, including databases, APIs, and other structured and unstructured data sources.
  • Conducting statistical analysis and creating predictive models using tools such as Python, R, and SQL to extract insights from the data.
  • Communicating findings and insights to stakeholders in a clear and understandable manner, often through data visualizations and presentations.
  • Collaborating with cross-functional teams to develop data-driven solutions that can improve business processes, products, and services./li>
  • Developing and implementing machine learning algorithms to automate processes, identify patterns, and improve decision-making.
  • Staying up-to-date with the latest developments in data science, statistics, and machine learning, and integrating new techniques and technologies into the workflow.
  • Ensuring data security, privacy, and compliance with relevant regulations and best practices.
  • Providing training and guidance to other team members, including data analysts and engineers, on best practices and methods for data analysis.
Required Qualifications
  • Degree in computer science, statistics, mathematics, or a related field,
  • Proficiency in programming languages such as Python or R, and experience working with databases, data visualization tools, and machine learning algorithms.
  • Excellent analytical and problem-solving skills, as well as strong communication and collaboration skills, are also important for success in this role.
To apply for this opportunity, write to us at careers@agivant.com with the following subject: AG5115- Senior Data Scientist

DevOps Engineer

Industry experience: 10 Years
Location: Pune

To apply for this opportunity, write to us at careers@agivant.com with the following subject: AG5111-DevOps Engineer

Agivant is a new-age AI-First Digital and Cloud Engineering services company that drives Agility and Relevance for our client's success.

Powered by cutting-edge technology solutions that enable new business models and revenue streams, we help our customers achieve their trajectory of growth.

Agility is a core muscle, an integral part of the fabric of a modern enterprise.

To succeed in an ever-changing business environment, every modern organization needs to adapt and renew itself quickly. We help foster a more agile approach to business to reconfigure strategy, structure, and processes to achieve more growth and drive greater efficiencies.

Relevance is timeless, and is the only way to survive, and to thrive.

The quest for relevance defines the exponential acceleration of humanity. This has presented us with a slew of opportunities, but also many unprecedented challenges. With technology-led innovation, we help our customers harness these opportunities and address the myriad challenges.