Job Description
Batch-2023 & before
Responsibilities
- Participates as a member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.
- Creates plans, data collection and analysis procedures and data insight visualizations for assigned projects.
- Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan.
- Collaborates with SMEs to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback.
- Prepares literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.
- Provides guidance and mentoring to less- experienced staff members.
Knowledge & Skills
- Using scientific design and data collection methodologies, tools and analysis packages to collect, validate, and analyze research data.
- Strong analytical and problem-solving skills.
- Application and implementation of experimental design, scientific procedures and processes, and data analysis.
- Excellent written and verbal communication skills; mastery in English and local language.
- Ability to effectively communicate research plans, proposals, and results, and negotiate options at management levels.
Scope & Impact
- Collaborates with peers, junior data scientists and engineers, SMEs and external and internal research and product development partners.
- Typically interacts with high-level Individual Contributors, Managers and Program Core Teams.
- Participates in projects requiring data science engineering.
Education & Experience
- Bachelor’s, Master’s or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
- Typically 4-6 years’ experience including graduate or postgraduate research