Data Scientist (225-731)

As a Data Scientist, you will be at the forefront of driving data-driven decision-making within our organization. You will leverage your expertise in data analytics, machine learning, and statistical modeling to interpret complex data sets, identify trends, and offer actionable insights that can lead to improved business outcomes. Your role will involve collaboration with cross-functional teams, understanding business needs, and implementing data-driven solutions to solve complex problems. You will also contribute to the continuous improvement of our data infrastructure, ensuring data accuracy and integrity. This position offers a unique opportunity to have a significant impact by driving the strategic direction of the company using data insights.

Responsibilities

• Develop and implement data models and algorithms to solve business problems.
• Analyze complex data sets to discover patterns and trends that impact business insights.
• Collaborate with cross-functional teams to define data-related requirements and objectives.
• Utilize machine learning techniques to improve and optimize product and business processes.
• Design, experiment, and implement data-driven strategic projects and initiatives.
• Convert raw data into actionable insights to support decision-making processes.
• Evaluate organizational methods and provide feedback for improvements in data models.
• Build systems and tools that help analyze and understand customer behavior.
• Ensure data accuracy and integrity through comprehensive data validation and cleansing activities.
• Present findings and insights to stakeholders with clear communication and visual data storytelling.
• Continuously monitor and improve data processes and data flows for efficiency and effectiveness.
• Stay updated with the latest research and industry trends in data science and analytics.

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, or a related field.
• Proven expertise in data analytics and statistical software such as Python or R.
• In-depth knowledge of machine learning algorithms and frameworks.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong problem-solving skills and the ability to work independently.
• Excellent communication skills with the ability to explain complex data insights.
• Familiarity with big data technologies such as Hadoop, Spark, or similar tools.