
Data Scientist Leader
4 days ago
About us
We are a fast-growing start-up with a global customer base.
We aim to provide reliable ground transportation services worldwide with various types of vehicles.
Our corporate culture emphasizes teamwork and continuous learning and improvement.
- Partner-centric
- Team collaboration
- Ownership
- Continuous learning and improvement
- Hard-working and pragmatic
- Result-driven
Job Summary:
A Machine Learning Engineer will develop and implement machine learning models using Python, SQL, and other relevant tools.
- Develop and implement machine learning models using Python, SQL, and other relevant tools.
- Collaborate with cross-functional teams to identify opportunities for applying machine learning techniques to business problems.
- Conduct research and experimentation to explore new machine learning approaches and technologies.
- Optimize existing machine learning models for improved performance and efficiency.
- Provide technical leadership and mentorship to junior members of the team.
Requirements:
- Strong background in machine learning, natural language processing, artificial intelligence, predictive modeling, statistical modeling.
- In-depth knowledge of reinforcement learning algorithms (e.g., DQN, PPO, Actor-Critic) with hands-on project experience.
- Proven experience in time series forecasting methods (e.g., ARIMA, LSTM, Prophet) and their practical application.
- Proficient in Python, SQL, and other relevant programming languages.
- Familiarity with cloud computing platforms such as AWS or Azure is a plus.
- Ability to work collaboratively in a dynamic environment and communicate effectively with stakeholders at all levels of the organization.
- Bachelor's or master's degree in computer science, mathematics, statistics, or related field with a minimum of 5 years of experience.
Qualifications:
- Expertise in Python with the ability to write performant production-quality code, familiarity with SQL.
- Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, CloudFormation, EKS, AWS Security and Networking).
- Experience with distributed large-scale data processing.
- Basic understanding of the machine learning project lifecycle.
- Experience building and scaling machine learning models using large amounts of data.
- Expertise in Python and the ability to write performant production-quality code, familiarity with SQL.
Why Join Us:
You will be part of a diverse and inclusive team that values innovation and creativity.
We offer competitive compensation and benefits packages.
Ongoing training and development opportunities to help you grow professionally and personally.
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