This is a remote position.
Datasys builds high-scale, AI-powered data platforms that helps enterprises leverage deep consumer and business intelligence. If you love large-scale data engineering and innovation, we encourage you to apply.
Who we are looking for:
- You have a strong record of delivering results which matter to the company.
- You are goal oriented, driven, and must be comfortable doing whatever is necessary to achieve the goal.
- You have a deep understanding of data pipelines, focusing on performance, scalability, and solving bottlenecks, including those in machine learning workflows such as feature extraction, model training, and real-time inference.
- You are highly proficient in Python and SQL, with experience in AWS data services like Redshift, Glue, Athena, S3, and EMR, particularly for running large-scale data processing with Apache Spark.
- You are familiar with ML infra and frameworks, such as SageMaker, TensorFlow, or PyTorch and have hands-on experience training and deploying models.
Our environment best suits those who:
- Excel in hard work and a high-velocity atmosphere.
- Value exceptional performance and continuous improvement. We believe that if you aren’t constantly learning, you aren’t growing.
- Take responsibility for making impactful decisions that drive Datasys’ future.
Datasys operates in a hybrid work environment, but this position is fully remote and the ideal candidate thrives with the freedom and flexibility this structure provides.
Our interview process:
Fast! From application to offer in a week.
If you’ve done anything notable, such as created an open source project with 500+ stars/downloads, shipped a product with 5K+ downloads, made $50k+ from a single product/project/trade, or similarly impactful, let us know and we’ll prioritize your app.
Zero Expectations
We look for people with a track record of building.
1. Initial meet -Someone on our team will chat with you.
2. Personality assessment- We’ll send you a personality assessment to understand you better.
3. Take home challenge- We’ll send you a small take home challenge.
4. Follow-up interview- We’ll review the take home challenge together.
5. Offer- We’ll give you an offer you’ll be happy with.
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