Our growth partner is looking for a talented, experienced Data Scientist with a focus on Machine Learning, to join their team. You will be leading the research and development of models that power the prediction of vehicle sale prices on the growth partner’s marketplace.
Successful candidates will demonstrate excellent skill and maturity, be self-motivated as well as team-oriented, and have the ability to support the development and implementation of end-to-end ML-enabled software solutions to meet the needs of internal stakeholders. Those who will excel in this role will be those who listen with an ear to the overarching goal, not just the immediate concern that started the query. They will be able to show their recommendations are contextually grounded in an understanding of the practical problem, the data, and theory as well as what product and software solutions are feasible and desirable.
Responsibilities
Working with the fellow machine learning engineers to explore and refine the existing models via creative feature engineering and model tuning.
Developing ML models to detect prediction outliers, from proof of concept to production.
Mining structured & unstructured data, and performing EDA.
Documenting the work process, including experiments, parameter tuning etc.
Monitoring performance of models in production.
Experience & Qualifications
Bachelor’s degree in Computer Science, Information Technology, or computationally intensive domain.
3+ years of prior relevant work or lab experience in ML/DL projects/research.
Strong sense and skills in mathematics, statistics and algorithms.
Experience with regression analysis and classification analysis is essential.
Experience with EDA, including data pipeline building and data visualization.
Advanced proficiency with Python, SQL etc.
Extensive knowledge of ML frameworks and libraries.
Experience on tree-based algorithms (XGBoost, CatBoost, LightGBM etc.), and Generalized linear models (GLM) are highly valued.
Experience with anomaly detection, and model interpretation is desirable.
Experience with cloud services (AWS / GCP), docker, CI/CD is desirable.
Experience with Bash scripting (nice to have).
Ability to work independently and in a team environment.
Strong problem-solving skills and attention to detail.
