Senior Data Scientist – Software Product Company
By NCTA Data Analyst ToastJob Details
| Organisation | Toast |
| Department | Data Science & Analytics |
| Job Type | Non Government |
| Employment Type | Full Time |
| Location | Bangaluru |
| Vacancies | - |
| Application Last Date | - |
Toast is hiring a Senior Data Scientist in Bengaluru to design advanced data models, build scalable data systems, and deliver business-driven insights using modern data science and machine learning techniques.
Full Job Details:
Toast is seeking an experienced Senior Data Scientist to join its Data Science & Analytics team in Bengaluru. This is a full-time, permanent role within a leading software product company, offering the opportunity to work on large-scale data platforms and complex analytical challenges.
The role focuses on developing and implementing advanced data models and algorithms, collaborating with business stakeholders to solve real-world problems using data science, and designing robust data architectures and pipelines. The Senior Data Scientist will work closely with data engineers to ensure seamless data integration and will communicate insights effectively to both technical and non-technical audiences.
🔹 Key Responsibilities:
Develop advanced data models and machine learning algorithms
Translate business requirements into data-driven solutions
Design and maintain large-scale data systems and architectures
Collaborate with data engineering teams on data pipelines
Present insights through reports and visualizations
Stay updated with emerging trends in data science and analytics
🔹 Key Skills & Technologies:
Programming & Analysis: Python, Java, SQL, Pandas
Big Data & Processing: Spark, PySpark, Hadoop, Hive, Kafka
Data Science: Machine Learning, Deep Learning, NLP
Data Engineering: ETL, Data Pipelines, Data Warehousing
Visualization & BI: Tableau, Power BI
Cloud & Platforms: AWS, Big Data Technologies
This role is ideal for professionals with 6–11 years of experience who want to work on impactful data science problems in a fast-paced, product-driven environment.
