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Middle Data Scientist
hace 1 semana
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you're working with the best and are encouraged to learn and experiment daily, there's no better place — guaranteed :)
What you will do
- Tasking with feature engineering, understanding our sales teams goals, identifying opportunities for sales to engage with their clients, and light data engineering where appropriate;
- Initial tasks will be to predict likelihood that, when a sales rep reaches out, a client will buy a specific product;
- Analyzing, designing, and implementing efficient data pipelines (ETLs) to work together Data Engineers teammates to integrate data from various sources into Indeed's data platforms;
- Designing and implementing data model changes that align with data standards;
- Work with existing APIs written in Flask (python);
- Crafting ideal opportunity types and cohorts for sales to work;
- Monitoring production data pipelines daily to ensure completion, maintain data quality, and address performance issues;
- Reading and interpreting system logs to evaluate system health or perform root cause analysis;
- Identifying pipeline issues and working with colleagues, vendors, and external teams to resolve;
- Clearly communicating pipeline statuses with management and stakeholders.
- Ideally a bachelor's degree in computer science, computer engineering, or an engineering discipline;
- 5+ years of industry experience in software development and/or data science with strong expertise in fast-paced and deliver-focused environments;
- 2+ years of experience building ML models in a sales type environment;
- Extensive production experience in SQL;
- Extensive experience building an ETL from scratch;
- 3+ years of experience with Python/Flask;
- 3+ years of hands-on experience with big data technologies (such as Redshift, Hive, Trino/Presto, or similar technologies);
- Experience with modeling data;
- Experience in Athena;
- Experience with MySQL;
- Experience in Gitlab CI;
- Experience in AWS cloud platform (SQS, S3 services);
- Extensive experience in writing technical documentation;
- Upper-intermediate English level.
- Experience in Spark;
- Experience in Tableau or Google Data Studio;
- ETL work will be in Dagster but may not be a primary focus of the individual.
- Professional growth
- Competitive compensation
- A selection of exciting projects
- Flextime
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