Associate Data Scientist (225-923)

As an Associate Data Scientist, you will join a dynamic team focused on solving complex business problems through data-driven methodologies. Your role will involve working with large datasets to derive valuable insights and create data models that will aid in decision-making. You will collaborate closely with other data professionals, analysts, and stakeholders to understand the business needs, extract pertinent data, and apply statistical analysis to interpret results effectively. This position will provide you with an opportunity to develop and apply your technical skills in machine learning, statistical modeling, and data visualization tools. You will contribute to the organization’s growth by harnessing data to predict trends, optimize performance, and improve operations. This is an excellent opportunity for a motivated individual looking to advance their career in the field of data science.

Responsibilities

• Work closely with team members to understand business problems and data needs.
• Extract, clean, and preprocess large datasets for accurate analysis and modeling.
• Conduct exploratory data analysis to identify patterns and relationships.
• Develop predictive models and algorithms using statistical and machine-learning techniques.
• Communicate findings and insights to non-technical stakeholders effectively.
• Collaborate with engineers to deploy data models into production environments.
• Create and maintain comprehensive documentation for data processes and models.
• Monitor model performance and make improvements based on data feedback.
• Stay updated with the latest trends and technologies in data science and analytics.
• Assist in the integration of new data sources to enhance analytical capabilities.
• Support ad-hoc analysis requests from various departments as needed.
• Contribute to team meetings with ideas and insights on data strategies.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Mathematics, or related field.
• Proficiency in programming languages such as Python or R for data analysis.
• Solid understanding of statistical methods, models, and data mining techniques.
• Experience working with data visualization tools like Tableau or Power BI.
• Ability to communicate complex technical information clearly to non-experts.
• Demonstrated problem-solving skills and critical thinking abilities.
• Familiarity with big data technologies such as Hadoop or Spark is a plus.
• Experience with SQL for data querying and manipulation is preferred.
• Strong attention to detail and commitment to accuracy in analysis and reporting.