A top-notch Data Scientist would be involved in exploring, defining, selecting solutions and developing novel concepts for various business needs. If you join our team, you will have the opportunity to stay on the cutting edge of research and then to put this research to practical use by building your own software and infrastructure systems.

Responsibilities

Solve problems – really good at breaking things down and crafting answers

Partner closely with cross-functional teams to identify areas of opportunity and drive results

Execute strategic initiatives from start to finish, including data collection, modeling, and the communication of insights and recommendations.

Notebook zen master

Skills and Qualifications

3-5 years of experience developing and deploying end-to-end ML/AI systems.

Practical experience of working with structured and unstructured data, data processing at scale, feature engineering, and model operationalization.

Expertise with Tensorflow, PyTorch, Scikit-learn, Pandas, and Numpy

Worked with large language models (LLM’s), understands vectors, embedding, "x"-shots, etc.

Proficient with Python, including the scientific Python stack, Machine Learning frameworks.

Statistics: theoretical foundation in various common distributions, probability theory.

Good knowledge of modern Machine Learning software, libraries.

Data engineering: SQL using Postgress and Snowflake; Spark, Hadoop.

Advanced Degree in Statistics, Analytics, Engineering, Computer Science or another relevant engineering field is a plus

Bonus points

Experience in fast paced, startup environments. Understands what it takes for a team to win in competitive environments and relishes the challenge.

$60,000 — $110,000/year