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.
Skills Required
- Proven record of delivering measurable results
- Goal-oriented, driven, able to do what is necessary to achieve goals
- Deep understanding of data pipelines focusing on performance, scalability, and solving bottlenecks, including ML workflows (feature extraction, model training, real-time inference)
- Proficiency in Python
- Proficiency in SQL
- Experience with AWS data services: Redshift, Glue, Athena, S3, EMR
- Experience running large-scale data processing with Apache Spark
- Familiarity with ML infrastructure and frameworks such as SageMaker, TensorFlow, or PyTorch
- Hands-on experience training and deploying machine learning models
What We Do
Datasys Group is a full-service data, analytics, and digital media solutions provider. The company leverages several proprietary data sets, multiple marketing channels, and a robust marketing cloud to help businesses analyze, strategize, and execute customer acquisition and retention campaigns. By utilizing its expansive data and technology platforms, Datasys helps companies more accurately target their ideal customers and provide intelligent marketing solutions.
