Intermediate Data Analyst (Immediate Joinee only)

A typical day of an Intermediate Data Science at August Infotech

As an Intermediate, your typical day would need:

• The day usually starts with checking emails, messages, and any urgent notifications. The data scientist might plan their day, review the progress of ongoing projects, and prioritize tasks for the day.
  

• To collaborate with cross-functional teams, including other data scientists, analysts, engineers, product managers, and stakeholders. They might participate in meetings to discuss project progress, data requirements, and future strategies.
  

• To write and review code regularly. They might be involved in coding tasks related to data preprocessing, model development, or creating scripts for automating repetitive tasks.
  

• To evaluate the performance of their machine learning models. They conduct validation tests and fine-tune the models to improve their accuracy and generalization capabilities.
  

• > Technical Responsibilities
  

• Data Analysis and Preprocessing
  

• Machine Learning Model Development
  

• Statistical Modeling
  

• Data Visualization
  

• Collaboration and Communication
  

• Data Integration and Engineering
  

• Model Deployment and Monitoring
  

• Continuous Learning
  

• > Management Responsibilities
  

• Manage team
  

• Decide team for the project
  

• Manage Workload
  

• Technical coaching and mentoring
  

• Raising Hiring and recruitment needs
  

• Mentor junior members of the team and participate in code reviews to help them grow inside the team.
  

• Joint Responsibilities with Senior
  

• Project specification document
  

• Project Architecture
  

• Weekly Project Meetings
  

• You will be reporting to the Team Lead
  

• Meaningfully contribute to agile ceremonies including grooming, planning, scrums, retrospectives.
  

• Over time, we build out insights and knowledge of the industries that we work in.
  

About August  

By leveraging user-centric thinking, design capabilities, new technologies and cloud solutions, we empower our clients and allow them to rethink how they connect with their customers across every platform, every device and every step of the customer journey. As part of an end-to-end delivery, our Technical team builds compelling digital experiences with a focus on channels such as the web and mobile.

As an Intermediate Data Science, you will have a:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  

• Minimum of 2-3 years of hands-on experience in data science, machine learning, and statistical modeling.
  

• Experience leading a team, working with others to solve problems, sharing knowledge and can help grow and mentor junior developers;
  

• A passion for digital transformation and technology;
  

• Experience in agile development environments, including ceremonies such as backlog refinement and sprint planning;
  

• You can work independently as well as in a highly collaborative team-setting;
  

• You balance logical problem solving with innovative thinking;
  

• You like building positive client and peer relationships by developing an understanding of customer's business and project scope and can translate business requirements into technical requirements;
  

• You can contribute positively to team culture, with a focus on inclusion and diversity;
  

• Identifying potential opportunities for additional revenue generation;
  

• Developing analytical and insightful recommendations to meet deliverable targets and complete project tasks within budget and to customer satisfaction;
  

• Identifying, communicating and solving conflicts or issues to Team;
  

• Assisting in the development of client proposals;
  

• Strong written and verbal communication and presentation skills (English)