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We are a pioneering company revolutionizing the marketing landscape with our AI-powered platform. Our team has developed innovative marketing systems for leading companies, transforming how businesses direct their marketing spend to drive growth and efficiency.
Job OverviewThe ideal candidate will have a strong background in data analysis, machine learning, experience with big data technologies, and enjoy working closely with a team to drive product success and improve business outcomes.
Key Responsibilities- Analyze large datasets to extract actionable insights and identify trends using big data processing tools like Athena, BigQuery or PySpark.
- Create clear and compelling visualizations to communicate findings to stakeholders and develop dashboards and reports to monitor model performance and business metrics.
- Design and conduct experiments to test hypotheses and validate model performance. Prototype new features and enhancements based on data-driven insights.
- Design, develop, and maintain scalable ETL/ELT pipelines to process large volumes of data into data lakes and warehouses like Athena or Pyspark.
- Maintain comprehensive documentation of data and analytics pipelines and create technical documentation, user guides, and data dictionaries.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Statistics, Machine Learning or a related field.
- 3+ years experience in data science, data engineering, marketing analytics or a related role.
- Strong programming skills in languages such as Python, Java, Scala, or R.
- Strong proficiency with SQL and experience with relational databases (i.e., PostgreSQL, Snowflake).
- Experience with big data technologies (i.e. Hadoop, Spark, Kafka) and workflows (i.e. Airflow).
- Familiarity with cloud platforms (i.e., AWS, GCP, Azure) and data warehousing solutions.
$150,000 - $200,000 per year
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