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【HP】
职位:Product Manager, Data Science
行业分类:Computer hardware
公司规模:58,000
工作地点:US-Colorado-Fort Collins
职位要求:
- Proven experience (2+ years) in software product management.
- Experience using R, Python, and cloud computing platforms (AWS, Azure)
- Exceptional analytical and problem-solving skills, with a data-driven approach to decision-making.
- Exceptional communication and interpersonal skills, with the capacity to engage effectively with diverse teams and articulate ideas at the executive level.
- Demonstrated ability to lead and influence cross-functional teams without direct authority.
- Familiarity with agile development methodologies and project management processes.
- Prior experience with artificial intelligence, machine learning, or deep learning
- Prior experience in the enterprise software market (preferable, but not required)
- Bachelor's degree in computer science, Engineering, Data Science, or related fields.
- MBA preferred.
行业分类:Technology & Entertainment industry, mass media
公司规模:12,800
工作地点:Los Gatos, California
- Pursuing a PhD, entering 4th year or later in Fall 2024, at an accredited university and authorized to work as a summer intern in the USA.
- Engaged in relevant research into online experimentation, sequential experimentation, adaptive experimentation, observational causal inference, or a related area.
- Experience programming in R and/or Python.
- Curious, self-motivated, and excited about solving open-ended challenges at Netflix.
- Great communication skills, both oral and written.
https://jobs.netflix.com/jobs/306716846
行业分类:Financial technology
公司规模:127,855
工作地点:San Francisco
- A Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- A passion for learning and applying technology to solve real-world problems.
- Proficient programming skills (Python preferred) for developing ML & feature engineering systems, and intermediate SQL skills for wrangling data from various sources.
- Coursework or hands-on experience in building advanced machine learning techniques, including GBM’s, deep learning models, embeddings, Graph Neural Networks (GNNs), transformers, etc
- Proficiency in leveraging various ML/DL toolkits such as Keras, PyTorch, TensorFlow, Scikit-learn, SparkML, etc.
- Familiarity with cloud and infrastructure services is a plus.
- A strong passion for teamwork and effective communication with both technical and non-technical partners.
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