Required Data Scientist
What you'll do:
Research and develop machine learning projects up to deployment in production.
Model, design and implement solutions that do not have an off-the-shelf solution.
Be responsible and own features – design, implement, monitor, measure, iterate
Interact with domain experts, developers and data team
Employ a wide range of techniques from data science, machine learning, statistics, probability, algorithms, and whatever is necessary to solve the most crucial problems we are facing.
Some about our infra: Airflow, Airbyte, K8S, Superset, Snowflake, PostgreSQL, Athena.
What you'll do:
Research and develop machine learning projects up to deployment in production.
Model, design and implement solutions that do not have an off-the-shelf solution.
Be responsible and own features – design, implement, monitor, measure, iterate
Interact with domain experts, developers and data team
Employ a wide range of techniques from data science, machine learning, statistics, probability, algorithms, and whatever is necessary to solve the most crucial problems we are facing.
Some about our infra: Airflow, Airbyte, K8S, Superset, Snowflake, PostgreSQL, Athena.
Requirements:
5+ years of proven experience in machine learning, data science, or statistical/probabilistic modeling.
Academic degree in Mathematics, Computer Science, Statistics, Engineering, Physics, or a related quantitative field.
Demonstrated ability to translate business requirements into production-ready technical solutions.
Proficiency in Python or another general-purpose programming language.
Naturally curious, independent, and results-driven.
Strong collaborative and team-oriented mindset.
Advantage – Prior experience with Spark for large-scale data processing.
5+ years of proven experience in machine learning, data science, or statistical/probabilistic modeling.
Academic degree in Mathematics, Computer Science, Statistics, Engineering, Physics, or a related quantitative field.
Demonstrated ability to translate business requirements into production-ready technical solutions.
Proficiency in Python or another general-purpose programming language.
Naturally curious, independent, and results-driven.
Strong collaborative and team-oriented mindset.
Advantage – Prior experience with Spark for large-scale data processing.
This position is open to all candidates.
