Data Scientist (225-826)

As a Data Scientist, you will be at the forefront of leveraging data-driven insights to drive business strategies and innovations. In this role, you will utilize your expertise in analytics, statistics, and machine learning to identify trends, patterns, and opportunities for our organization. You will play a crucial part in our decision-making process by transforming raw data into actionable insights that can influence strategies across different departments. You will work collaboratively with cross-functional teams to solve complex problems, ensuring our data methodologies are robust, scalable, and tailored to meet company objectives. If you are passionate about turning data into solutions and thrive in a fast-paced environment, this is the opportunity for you.

Responsibilities

• Develop predictive models and machine learning algorithms to drive business strategy.
• Identify, analyze, and interpret patterns or trends in complex data sets.
• Collaborate with cross-functional teams to design and implement data-driven solutions.
• Create interactive data visualizations that communicate complex analytics comprehensively.
• Perform data mining using state-of-the-art methods and tools to extract insights.
• Prepare detailed reports and presentations for stakeholders to aid in decision-making.
• Ensure data integrity and accuracy by conducting rigorous quality checks and audits.
• Work with data engineering to scale data acquisition and processing pipelines.
• Deploy models into production and continuously improve them based on performance metrics.
• Stay updated on the latest industry trends and technologies in data science.
• Advocate for data-driven decision-making across all levels of the organization.
• Mentor junior data scientists and contribute to team knowledge-sharing initiatives.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, or related fields.
• Proven experience in data mining, statistical analysis, and machine learning.
• Strong proficiency in programming languages, such as Python, R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Ability to analyze large datasets and create actionable insights from data.
• Strong problem-solving skills and an analytical mindset.
• Excellent communication skills to convey complex data results to non-technical audiences.
• Familiarity with big data platforms like Hadoop or Spark is a plus.
• Proactive, self-motivated, and able to work independently with minimal supervision.