Bottomline Technologies is hiring for the role of Senior Data Scientist for a graduate degree in Computer Science, Engineering, or any other heavily numerate subject in Bengaluru, Karnataka, India. Candidate should have at least 4 years’ professional experience in with major programming languages such as Java, Python, Scala. Interested candidates can apply for this recruitment drive and register through the given link. The detailed eligibility criteria to qualify and the application process are given below.
Job Summary of Bottomline Technologies:
Company Name: Bottomline Technologies
Qualification: a graduate degree in Computer Science, Engineering or any other heavily numerate subject
Experience: at least 4 years’ professional experience in with major programming languages such as Java, Python, Scala
Job Profile: Senior Data Scientist
Location: Bangalore
Employment Type: Full-Time
How You’ll Contribute
- Research and identify optimal new machine learning solutions to complex business problems with focus on improving inference and reducing costs
- Collaborate closely on a cross-functional team and mentor, support the team of data scientists and analysts
- Assist lines of businesses in evaluating scenarios and plan scope, feasibility, and approaches of potential ML solutions for each scenario
- Assist business groups in performing exploratory data analysis related to their use cases
- Provide best practices and technical support for implementation, focused on stated business outcomes
- Ideation and assistance on the use of AWS Services, in particular Amazon SageMaker and AWS Managed Services for development of Deep Learning and Transfer Learning with Natural Language Processing (NLP)
What Will Make You Successful
- At least 4 years’ professional experience in with major programming languages such as Java, Python, Scala
- A completed graduate degree in Computer Science, Engineering or any other heavily numerate subject
- Understanding of the full software development lifecycle (conduct data analysis and build large-scale machine-learning models/pipelines)
- Ability to present suggested approaches and results – focused on business value
- Experience in optimizing space/time trade-offs for computationally expensive processes
- Familiar with Agile software development process as well as Dual Track Agile
- Experience in Big Data technologies (Hadoop, Spark), large relational and NoSQL databases
- Extensive knowledge in data processing, Machine Learning, and data analysis frameworks such as scikit-learn, NumPy, Pandas, TensorFlow, NLTK
- Experience in quantitative analysis and translation of findings into actionable insights
How to Apply Bottomline Technologies for the role of Senior Data Scientist?
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