Associate – Projects

We are seeking an Associate Data Scientist with 3 to 5 years of experience to join our team. The ideal candidate will have strong technical skills in Python and will work in a hybrid model with day shifts. This role involves analyzing complex data sets developing predictive models and providing actionable insights to drive business decisions. The candidate will play a crucial role in enhancing our data-driven strategies and contributing to the companys overall success.

Responsibilities

• Analyze large and complex data sets to identify patterns and trends.
• Develop and implement predictive models to support business decision-making.
• Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
• Provide actionable insights through data visualization and reporting.
• Optimize and improve existing data models and algorithms.
• Conduct data cleaning preprocessing and transformation to ensure data quality.
• Utilize Python for data analysis modeling and automation tasks.
• Stay updated with the latest advancements in data science and machine learning.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.
• Contribute to the development of data-driven strategies to enhance business performance.
• Participate in code reviews and ensure best practices in data science projects.
• Support the implementation of data governance and data management practices.
• Work in a hybrid model with day shifts ensuring flexibility and work-life balance.

Qualifications

• Possess a Bachelors or Masters degree in Data Science Computer Science or a related field.
• Have 3 to 5 years of experience in data science or a related role.
• Demonstrate strong proficiency in Python for data analysis and modeling.
• Show experience with data visualization tools such as Tableau or Power BI.
• Have knowledge of machine learning algorithms and techniques.
• Exhibit strong analytical and problem-solving skills.
• Display excellent communication and collaboration abilities.
• Be familiar with data cleaning and preprocessing techniques.
• Understand data governance and data management principles.
• Have experience working in a hybrid work model.
• Show a proactive approach to staying updated with industry trends.
• Demonstrate the ability to work independently and as part of a team.
• Possess strong attention to detail and a commitment to data quality.

Certifications Required

Certified Data Scientist Python for Data Science Certification