Data Scientist 28N25

We are seeking a highly skilled and analytical Data Scientist to join our dynamic team. As a Data Scientist, you will leverage your expertise in data analysis, statistical modeling, and machine learning to deliver insights that drive business decisions and strategies. Your role is pivotal in processing, analyzing, and interpreting large data sets to identify trends and patterns that can enhance our company’s performance and support our innovation goals. You'll collaborate with cross-functional teams including data engineers, software developers, and business analysts to implement advanced analytical solutions. Join us and contribute to our mission of using data-driven insights to make a significant impact in our industry.

Responsibilities

• Analyze complex data sets to identify patterns and trends for actionable insights.
• Develop and apply advanced machine learning models to improve decision-making processes.
• Collaborate with data engineering teams to optimize data collection and analysis practices.
• Create visualizations and dashboards to present data-driven insights to stakeholders.
• Design experiments to measure the impact of data-driven interventions and strategies.
• Work closely with product teams to integrate data science capabilities into our services.
• Develop predictive models to forecast future trends and business outcomes.
• Ensure data quality and integrity by performing regular data validation checks.
• Stay updated on the latest data science trends and techniques to enhance our analytics.
• Communicate complex analytical concepts to non-technical audiences through reports and presentations.
• Support the enhancement of our data pipelines and analytical infrastructure.
• Contribute to the development of new features and functionalities in our data products.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience as a Data Scientist with a strong portfolio of data projects.
• Proficiency in statistical programming languages such as Python, R, or SQL.
• Strong understanding of machine learning algorithms and their practical applications.
• Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
• Ability to present complex information in a clear and concise manner to various stakeholders.
• Knowledge of big data technologies such as Hadoop, Spark, or similar frameworks is a plus.