Associate Data Scientist (225-808)

The Associate Data Scientist role is a dynamic and integral part of any data-driven team. This position offers an exciting opportunity to partner with cross-functional teams to uncover insights from vast datasets and contribute to business decision-making processes. An Associate Data Scientist employs various analytical, statistical, and machine learning techniques to interpret data and develop predictive models that address business challenges. As a budding domain expert, you will be involved in implementing and maintaining data systems, working closely with software developers, data engineers, and analysts to ensure that data processes and models are optimized and effective. Your passion for data, eagerness to explore algorithm optimization, and analytical thinking are crucial in this role, as these are key ingredients in driving innovation and efficiency. Success in this position requires a blend of strong technical skills and the ability to communicate complex data findings in a meaningful way to non-technical stakeholders.

Responsibilities

• Assist in the collection and cleaning of data from various sources for analysis.
• Develop and maintain predictive models to support business forecasting activities.
• Collaborate with cross-functional teams to understand their data needs and challenges.
• Analyze data patterns to uncover actionable insights for business improvements.
• Implement machine learning algorithms to solve specific business problems efficiently.
• Create data visualizations and dashboards that communicate insights effectively to stakeholders.
• Support the maintenance and refinement of existing data systems and analytical tools.
• Participate in data validation and quality assurance processes to ensure data accuracy.
• Stay up-to-date with the latest developments in data science and machine learning fields.
• Document processes, models, and findings clearly and comprehensively for future reference.
• Test and evaluate new data approaches and technologies for potential integration.
• Assist in the preparation of reports and presentations to convey insights to management.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field required.
• Strong foundation in statistics, mathematics, programming, and data modeling techniques.
• Experience with data analysis tools such as Python, R, or SQL is essential.
• Knowledge of machine learning algorithms and libraries, including scikit-learn or TensorFlow.
• Familiarity with data visualization tools such as Tableau or Power BI preferred.
• Strong analytical skills with the ability to tell stories from data insights clearly.
• Effective communication skills to convey analysis results to non-technical audiences.