Job Description

Job Responsibilities:

• Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency.
• Translate business challenges into data-driven problems and design appropriate data science solutions, including metrics and analytics, business intelligence, and experimentation.
• Utilize expertise in statistics, machine learning, optimization, and automation to develop analytics solutions.
• Work closely with stakeholders, data engineers, and program/product managers to ensure seamless progress.

Skills:

• Minimum 2+ years of experience with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling.
• Minimum 2+ years experience analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders.
• Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis.
• Proficient in statistical analysis and experimental design NICE-TO-HAVE SKILLS:
• Demonstrated experience with data management, data engineering and research devices in ambiguous environments.
• Experience building medium to large scale systems and services.

Education/Experience:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 2+ years of experience with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling.
• 2+ years experience analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders.
• Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis.
• Proficient in statistical analysis and experimental design.

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