Data Scientist

Responsibilities:

• Collaborate with analysts and product leads to identify and implement data solutions.Optimize data pipelines to ensure efficient performance with minimal human intervention.
• Build data pipelines for collecting and processing data from various external sources.
• Work with data engineers to manage data pipelines and troubleshoot issues to maintain data quality and reliability.
• Develop validation and analytics processes that are consistent with business needs and strategic goals.
• Assist with machine learning and data visualization initiatives as needed.
• Continuously improve data solutions to effectively address customer needs.
• Communicate and coordinate with teams to accomplish objectives and deliver excellence.

Qualifications:

• Minimum of 4 years with SQL and modern Big Data ETL technologies like NiFi or StreamSets.
• Bachelor's degree in a related field.
• Strong background in a modern programming language, such as Python or Java, with at least 4 years of experience working in a big data and cloud environment.
• Ability to quickly grasp technical concepts and collaborate with multiple functional groups.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Detail-oriented mindset with a commitment to delivering high-quality results. 

Key Skills:

• Programming.
• Statistics and probability.
•  Data wrangling and database management.
• Critical thinking.
• Cloud computing.

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