Research methodology – Who Needs Engineers
https://whoneedsengineers.com/wne_live
Software Engineering RecruitmentSat, 26 Oct 2024 09:30:02 +0000en-US
hourly
1 https://wordpress.org/?v=6.6.2https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngResearch methodology – Who Needs Engineers
https://whoneedsengineers.com/wne_live
3232Research Scientist – Data Science Engineering
https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/research-scientist-data-science-engineering/
Sat, 26 Oct 2024 09:30:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/research-scientist-data-science-engineering/Research Scientist – Data Science Engineering
Job Description:
Join our dynamic team as a Research Scientist where you will play a pivotal role in advancing our AI technology. In this position, you will utilize your expertise in machine learning and generative models to enhance our innovative products that improve communication efficiency. Your responsibilities will include conducting in-depth research, prototyping new features, and collaborating closely with cross-functional teams to understand and address product scalability and performance challenges. This is an exciting opportunity to directly influence product development and strategy while working in a fast-paced, innovative environment. Your work will help shape the future of knowledge management and productivity tools.
IT Languages:
Python
R
As a Research Scientist, you will be responsible for the following tasks::
Stay current with the latest machine learning advancements and identify opportunities to leverage these technologies.;; Conduct research and prototype features, collaborating with product, design, and engineering teams.;; Regularly present research findings and project status to the data science team.;; Conduct surveys and gather ground truth data to validate research outcomes.;; Work alongside engineering to implement and maintain new methodologies.;; Assist in the recruitment and development of team members.
Spoken Languages:
English
Skillset:
Machine learning
Deep learning
Statistical modeling
Data validation
Research methodology
Soft Skills:
Excellent communication skills
Collaboration
Adaptability
Critical thinking
Qualifications:
Advanced degree in a quantitative field, PhD preferred
Strong background in machine and deep learning
Experience with statistical techniques, including causal methods and A/B testing
Proficiency in Python or R
Years of Experience:
5
Location:
United States
Job Benefits:
Equity options
Health insurance with low deductibles
Flexible time away programs
Family leave programs
Working Conditions:
Hybrid
Employment Type:
Permanent Contract
Company Culture:
We foster a diverse and inclusive environment where respect and equal opportunities are paramount. Our team thrives on collaboration and innovation, encouraging individuals from all backgrounds to contribute their unique perspectives.
Opportunities For Advancement:
Professional development programs, Mentorship opportunities, Potential for leadership roles, Cross-departmental projects