Job Location: Bangalore/Bengaluru
Employment Type:
Full Time, Permanent
Data Scientist (Analytics Development) Only Diversity (10-15 yrs)
Job Description Summary
The Staff Data Scientist will work in a team addressing statistical, machine learning and data understanding problems in a commercial product development environment. You will have exposure to large datasets, wide& mixed data , feature engineering and transformation, statistical & AI model development. In this role, you will contribute to the design, development and deployment of analytic models for in-situ monitoring of
Additive machines and the process.
Roles and Responsibilities :
– As a Staff Data Scientist, you will be part of a cross-disciplinary team on developing commercially facing analytics driven products. These teams typically include statisticians, computer scientists, software developers, product managers, and end users, working in concert with partners .
– Potential application include real-time monitoring, predictive analytics, digital twins, fleet monitoring for Additive technology domain.
In this role, you will :
– Work in a cross functional team and develop analytic models (statistical, AI, physics enriched) forin-situ monitoring of Additive machines and process.
– Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
– Perform exploratory and targeted data analyses using descriptive statistics and other methods for root cause diagnostics and anomaly detection.
– Be responsible for development, verification, and validation of analytics driven solutions and products.
– Work with stakeholders to explore new avenues in Additive analytics towards predictive and prescriptive analytics.
– Actively contribute to design reviews, program management, customer sessions.
– Demonstrate collaborative work style and display team-oriented behavior with a proactive example of communication internally and externally
Education Qualifications :
– Bachelors Degree in Engineering, Statistics, Machine Learning or related field plus minimum 4 year of analytics development experience
– Experience in analytics development towards asset health monitoring
– Expertise in the use of Python/ R and/or other analytic software tools or languages
– Expertise in data cleansing, data quality assessment, feature engineering and feature down-selection.
– Expertise in statistics and statistical model development. Experience in machine learning and other AI models.
– Experience with verification and deployment of analytics driven solutions and products.
– Demonstrated skill in presentation and influencing skills.
– Demonstrated project management skills
– Strong communication and interpersonal skill
– Demonstrated skill at working in a global team setting.
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