Associate Data Scientist (225-721)

As an Associate Data Scientist, you'll be at the forefront of our data-driven strategies, transforming complex data into actionable insights. You'll work collaboratively with cross-functional teams, applying your knowledge in machine learning, statistical analysis, and data wrangling to solve real-world business challenges. In this role, you'll have the opportunity to build predictive models, analyze trends, and support data-driven decision-making processes. Your work will help shape our business strategies, improve operational efficiency, and enhance the customer experience. We are looking for someone with strong analytical skills, a passion for solving complex problems, and the ability to effectively communicate findings to both technical and non-technical stakeholders.

Responsibilities

• Analyze large datasets to discover meaningful patterns and relationships.
• Develop predictive models to support strategic decision-making processes.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Conduct data cleaning and transformation tasks to prepare data for analysis.
• Utilize machine learning algorithms to develop and enhance data products.
• Create data visualizations and reports to communicate insights to stakeholders.
• Work with data engineers to optimize data pipelines for analysis efficiency.
• Stay updated on emerging data science trends and technologies.
• Implement feedback from senior data scientists to improve analytical models.
• Assist in the development and deployment of data-driven applications.
• Ensure data privacy and security standards are maintained across projects.
• Provide ad-hoc analysis and reports as requested by management.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, or related field.
• Proficiency in programming languages such as Python or R for data analysis.
• Familiarity with machine learning techniques and statistical modeling.
• Experience in data manipulation and data wrangling using SQL or similar tools.
• Ability to interpret and communicate complex data insights to stakeholders.
• Strong problem-solving skills and attention to detail in data analysis.
• Experience with data visualization tools like Tableau or Power BI is a plus.