Data Scientist Engineer
A seasoned professional with 4+ years of experience writing Python in production environments. Expert-level proficiency in Python and core libraries (Pandas, NumPy, AsyncIO, FastAPI or similar) is required.
Key Responsibilities:
* Design and develop large-scale machine learning models to drive business growth.
* Implement data processing pipelines using Python to enhance data accuracy.
* Collaborate with cross-functional teams to drive innovation and improve overall efficiency.
Requirements:
* Bachelor's or Master's degree in Computer Science, Software Engineering or related field with a strong foundation in programming principles.
* 4+ years of professional experience writing Python in production environments with expertise in data analysis.
* Expert-level proficiency in Python and core libraries including data structures, algorithms and software design patterns.
* Proven track record on coding platforms such as LeetCode, Codeforces, HackerRank or Kaggle demonstrating problem-solving skills.
Preferred Qualifications:
* Strong experience with distributed systems, APIs or data processing pipelines to enhance scalability.
* Familiarity with cloud environments (AWS, GCP or Azure) and CI/CD workflows to ensure seamless deployment.
* Experience in open-source contributions or building developer tools to leverage community knowledge.
About this role:
This position requires a skilled professional who can design, develop and deploy machine learning models at scale. If you have a passion for data science and a desire to work in a fast-paced environment, this could be the ideal opportunity for you.
What we offer:
We provide a dynamic work environment that fosters collaboration, innovation and growth. Our team is passionate about delivering high-quality solutions and making a meaningful impact. If you're looking for a challenging role that offers opportunities for professional development, join our team today!