UST is seeking a Data Scientist to deliver actionable insights and drive data-driven decision-making across the organization, leveraging expertise in data analysis, machine learning, and big data technologies.
Requirements
- Hands-on experience with data analysis tools: Proficient in using tools such as Python and R for data manipulation, querying, and analysis.
- Skilled in utilizing libraries like Pandas, NumPy, and Scikit-Learn to perform in-depth data analysis and modeling.
- Skilled in machine learning and predictive analytics: Expertise in building, training, and deploying machine learning models using frameworks such as TensorFlow and PyTorch.
- Capable of performing tasks like regression, classification, clustering, and recommendation, leading to data-driven predictions and insights.
- Expertise in big data technologies: Proficient in handling large datasets using big data tools such as Spark.
- Skilled in employing distributed computing and parallel processing techniques to ensure efficient data processing, storage, and analysis, enabling enterprise-level solutions and informed decision-making
- Experience with Data Analysis, Python, Big Data, Spark
Responsibilities
- Utilize Python and R for advanced data querying, manipulation, and analysis.
- Apply libraries such as Pandas, NumPy, and Scikit-Learn to perform comprehensive data exploration, cleaning, and transformation.
- Develop and implement robust data pipelines to support analytics and reporting needs.
- Design, build, and deploy machine learning models using frameworks like TensorFlow and PyTorch.
- Execute a range of modeling tasks, including regression, classification, clustering, and recommendation systems.
- Manage and process large-scale datasets using tools such as Apache Spark.
- Employ distributed computing and parallel processing techniques to optimize data workflows.
Other
- 8 to 10 years of professional experience
- Work cross-functionally with stakeholders from various departments to understand business requirements and deliver data-driven solutions.
- Present findings and recommendations in a clear, concise manner to both technical and non-technical audiences.
- Mentor junior team members and contribute to the development of best practices within the data science team.
- Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year
