Data Scientist
Responsibilities
Qualifications & Requirements
Experience Level: Mid Level
Full Job Description
Data Scientist
Fort Technologies is seeking a Data Scientist with 1-3 years of experience to join our Bangalore team. This role requires deep expertise in data science, operations research, and core engineering principles for scaling implementations. You will contribute to scaling machine learning workloads for large datasets, focusing on the intersection of Operations Research, Machine learning, and Deep Learning to solve complex business problems. Key responsibilities include developing auto-scaling ML pipelines, test automation for critical algorithms, and contributing to a logistics planning pipeline that integrates big data, operations research, and machine learning. You will also be involved in developing a data platform for data mining and insight generation.
Responsibilities
- Contribute to scaling machine learning workloads to handle large volumes of data.
- Solve optimization problems at the intersection of Operations Research, Machine learning, and Deep Learning.
- Develop auto-scaling ML pipelines and test automation for critical algorithms.
- Contribute to the development of a logistics planning pipeline fusing big data, operations research, and machine learning.
- Develop a data platform for data mining and insight generation.
Qualifications
- Excellent understanding of statistical modeling, machine learning techniques, and optimization algorithms.
- Experience designing and developing NLP applications.
- Prior experience building geo-analytical models and various clustering algorithms.
- Experience applying machine learning models on large volume datasets and high-velocity small datasets is a plus.
- Prior experience with data visualization tools on big data infrastructure.
- Experience with cloud-native AI and ML offerings (Azure/GCP/AWS) is an advantage.
Technologies
- Programming Languages: Python, R
- Big Data: Spark, Hadoop
- Data Storage: SQL, NoSQL, Graph, Time Series Databases
- Data Visualization: Tableau, PowerBI, Zeppelin, open-source tools
- Operations Research tools and technologies
- Cloud Platforms: Azure, GCP, AWS
- Deep Learning: TensorFlow, Keras