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Data Scientist
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At IrisCX, we are OKR-driven. We set goals, and we measure success against them. Everyone in the company carries individual KRs that align with the overall success of the company. Please be ready to demonstrate your portfolio. Prepare by having concrete measurable examples of where your efforts made a difference for the company.
The interview process will consist of three stages:
- Video pre-screening. Self-Guided video submission using IrisCX. Instructions will follow post-application.
- Technical interview with the team. Hands-on technical pre-screening where you will be required to solve a problem within the 1-hour time window. Help and specific instructions will be provided.
- Leadership interview. You will meet an irisCX leadership team and will be tested on various business topics, and general communication, sales, and collaboration concepts.
- Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with the engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
- Working closely with Product Owners and CTO
- Designing and testing NLP, computer vision algorithms, and predictive models
- Building scalable architecture to support multiple platforms at the same time
- Brainstorming new product ideas and bringing them to life
- Working with the design team to make the most appealing products
- Work with the sales team to understand customer’s pain points and to develop strategies for client engagement
- Proven experience in building production-ready applications with Python, Pytorch/TensorFlow, Flask
- Hands-on experience with Tableau
- Machine learning models and their version controlling, MLOps
- Experience with Mongo, MYSQL is must
- Must have experience with CICD stacks such as CloudBuild, Jenkins, CircleCI
- Experience with building State of Art Models Inference based applications
- JIRA, Confluence, Git, Docker, Swagger
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
- Nice to have
- experience working with real-time video streaming applications
- experience working with Snowflake