Việc làm Senior Data Scientist - TNEX Finance - Công ty CP Quản trị Nguồn nhân lực TNTalent

Lưu việc làm

Phúc Lợi

Data Analysis & Modeling: Develop, implement, and optimize advanced statistical models and machine learning algorithms to solve complex business problems.
Data Management: Work with large structured and unstructured datasets to clean, process, and transform data for modeling purposes.
Insights & Visualization: Generate actionable insights through exploratory data analysis and create visualizations for effective communication to stakeholders.
Collaboration: Partner with cross-functional teams, including engineering, product, and business stakeholders, to identify opportunities, define requirements, and deploy data-driven solutions.
Research & Development: Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies to ensure we remain at the forefront of innovation.
Deployment: Build and deploy scalable machine learning models into production systems and ensure model performance monitoring and optimization.
Mentorship: Provide technical guidance and mentorship to junior data scientists and analysts.

Education: Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Experience: Minimum 5+ years of experience in data science, machine learning, or related fields.
Technical Skills:
- Proficiency in programming languages like Python or R.
- Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn) and machine learning platform stacks (e.g., kubeflow, mlflow, FEAST).
- Expertise in big data technologies such as Spark, Hadoop, or Hive.
- Strong SQL skills and experience with databases (e.g., Redshift, Snowflake, BigQuery).
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
Domain Knowledge: Experience in applying data science techniques to business problems like customer segmentation, churn prediction, recommendation systems, or fraud detection.
Visualization Tools: Proficiency with visualization tools such as Tableau, Power BI, or Plotly.
Soft Skills: Strong problem-solving abilities, excellent communication skills, and the ability to explain technical concepts to non-technical stakeholders.