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About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent
- 4-6 years’ experience including graduate or postgraduate research
- 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.
Benefits
Comp & perks- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencedata analysisexperimental designdata collection methodologiesdata validationdata visualizationstatistical analysisprogrammingresearch methodologiesscientific procedures
Soft Skills
analytical skillsproblem-solving skillscommunication skillsmentoringcollaborationpresentation skillsnegotiation skillsteamworkleadershipinterpersonal skills
