Job Title/Designation:

Staff Data Scientist (Analytics Development) Only Diversity

Employment Type:

Full Time, Permanent

Data Scientist (Analytics Development) Only Diversity (10-15 yrs)

Job Description:

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

Experience: 10 to 13 years

Annual CTC: Rupees 30,00,000 to 40,00,000

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