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๐ค Closed by robot after apply link errored w/ code 404 2 years ago
Data Scientist - Machine Learning\n\nAbout the role\nPngMe is looking for a mid-to-senior-level Data Scientist who can independently run deep data investigations, partner with our product and engineering teams, support our customers with analytic and modeling solutions, and evangelize data science across the organization.\n\nResponsibilities\n- Run impactful inferential analyses and data investigations to develop deep understanding of dataย \n-Identify recurring patterns, root causes, and propose actionable product solutions\n-Build, validate, fine-tune, and deploy machine learning models as product via a robust MLOps pipeline\n-Partner with the product, design, and engineering teams to define and monitor key business metrics, build visualizations and dashboards, present actionable insights across the organization, and collaborate on platform functionality\n-Work collaboratively with customers to identify problems, build analytics & modeling solutions, present insights, and demonstrate the value of Pngmeโs products\n-Provide thought leadership on developing cultural excellence around statistical analysis, experimentation, and modeling\n\nRequirements\n-Bachelorโs degree or equivalent experience in Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering, or a closely related field\n-5+ years of professional experience as a data scientistย \n-Working knowledge of scientific computing language (Python preferred), SQL, and data visualization tools.\n-Strong knowledge of probability and statistics. Deep understanding of experimentation analysis workflows\n-Comfortable with working in cloud environment such as AWS (ec2, emr, Redshift, Sagemaker)\n-Excellent communication skills to convey complex technical concepts and information to both technical and non-technical audiences\n\nPlus\n-Industry experience with credit risk analysis and underwriting principles\n-Data engineering experience and data pipeline tooling (Airflow, Spark)\n-Experience working with customers to identify problems and provide solutions\n-Familiarity with NLP concepts and practical application on text data\n-Experience deploying models into production environment (Sagemaker, MLFlow, Kubeflow)\n-Kaggle Master / Grandmaster\n\nBenefits:\n- Mission driven company focused on giving equal everyone equal access to finance\n- We invest heavily in our team and strive to provide a supportive work culture\n- Flexible work policy from our global offices (when open) or remote\n- Innovative engineering and product culture\n- Inclusion and diversity as a company priorityย \n- Founder-led company\n- Inclusive stock option plans\n- Competitive compensation packagesย \n- Comprehensive benefits (including 100% healthcare, dental, vision and 401k)\n- Additional benefits include home office reimbursements\n\nSalary: $140,000 - $200,000 USD \n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Data Science and Cloud jobs that are similar:\n\n
$70,000 — $125,000/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
\n\n#Location\nSan Francisco
# 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.