Senior Data Scientist
hace 2 semanas
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.
Must haves
- 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 fastpaced and deliverfocused 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 handson 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;
- Upperintermediate English level.
Nice to haves
- 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.
The benefits of joining us
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Professional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
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Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
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A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
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Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.
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