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\nGood Analytics (http://goodanalytics.io) is looking for talented and highly motivated software engineers to join our team. Our founders (John Ayers www.johnwayers.com | Mark Dredze www.dredze.com) are well-known academics who seek to apply the latest in computational methods to solve real world public health problems. This includes novel research and producing academic publications based on analyses produced in our projects.\n\nWe build scalable software systems for processing web data sources to provide key insights to public health professionals. Our projects are wide ranging and require a variety of skills. Software engineers are responsible for applying data science techniques to solve problems within the domain of public health. You’ll do everything, from training machine learning models, to data analysis, to writing scalable production software.\n\nGood Analytics is a remote company, operating through Slack and Hangouts. You will work with our founders to address customer needs for analytics for a variety of public health problems. We have transformed media monitoring by developing strategies to discover, describe, and deliver actionable news trends to numerous organizations. For example, our founders first reported on how Charlie Sheen’s HIV status disclosure impacted public help seeking and testing regarding HIV and HIV risk behaviors. Reporting on this finding led to a second bump in HIV testing eclipsing the impact of traditional awareness days.\n\nResponsibilities:\n\n\n* Communicate clearly inside and outside the company, to foster cooperation and development.\n\n* Design and implement major new features for our platform.\n\n* Effectively estimate time to implement designs.\n\n* Write and test code for highly available and high volume workloads.\n\n\n\n\nQualifications:\n\n\n* BS or Master's degree in Computer Science, Electrical Engineering, other related degree, or equivalent experience.\n\n* 3+ years experience with software engineering and infrastructure design skills.\n\n* Write well-structured, maintainable, idiomatic code with good documentation.\n\n* Strong work-ethic and passion for problem solving in the real world.\n\n\n\n\nPreferred Qualifications:\n\n\n* Experience with Python. We make generous use of tools like Celery, MongoDB, Pandas, Scikit Learn, and Django.\n\n* Experience with data science fundamentals, machine learning and natural language processing.\n\n* Development and deployment of software within Linux environments.\n\n\n\n\nWe will consider both short and long term engagements.\n\nTo apply, send your resume to [email protected].\n\nGood Analytics creates actionable intelligence from big media data, making public health advocacy more data driven and thereby more responsive to populations.\n\nGood Analytics is committed to fostering and supporting a creative and diverse environment. Good Analytics is an equal opportunity employer, and as such will consider all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Medical, Engineer, Developer, Stats, Digital Nomad and Linux jobs that are similar:\n\n
$75,000 — $122,500/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.