Job summary
Job post source
This job is directly from VeeAR Projects Inc.
Job overview
The Sr Data Scientist at VeeAR Projects Inc. designs and develops data models and algorithms to generate actionable insights for strategy, process improvement, and product enhancement.
Responsibilities and impact
The role involves collaborating with data science professionals, working with domain experts in utilities, gathering and transforming data, developing backend products, documenting methodologies, and using technologies like Python, git, and AWS while working independently and in teams.
Experience and skills
Requires a Bachelor's degree in Computer Science, Engineering, Mathematics, Applied Sciences, Statistics or equivalent experience, with strong skills in SQL, Python, data modeling, and familiarity with utility sector data.
Company overview
VeeAR Projects Inc. is a technology consulting and angel investing enterprise headquartered in Silicon Valley, with a globally distributed team. Founded in 2000 and based in San Jose, California, the company specializes in custom development and IT outsourcing services. VeeAR Projects Inc. generates revenue by offering technology consulting, software development, and IT outsourcing solutions to various clients. The company is known for its excellent management, positive work culture, and opportunities for growth.
How to land this job
Position your resume to highlight strong data modeling experience and specific work with utility clients, as this is a key requirement for the Sr Data Scientist role at VeeAR Projects Inc.
Emphasize your proficiency in SQL and Python, along with experience in data engineering, analytics/modeling, and visualization, to align with their technical development phases.
Apply through multiple channels including VeeAR Projects Inc.'s corporate career site and LinkedIn to maximize your application visibility for this position.
Connect on LinkedIn with professionals in VeeAR's data science or meteorology departments; start conversations by mentioning your interest in their work with utility data or asking about recent projects involving AWS infrastructure or Python development.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data modeling,' 'SQL,' 'Python,' 'AWS infrastructure,' and 'utility clients' to ensure it passes initial automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify relevant job posting sites, and find LinkedIn contacts to network with, allowing you to focus your energy on preparing for interviews and skill development.
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