【精选DS岗位】Adobe、Faurecia、PagerDuty等公司最新职位发布!
- MS degree in an analytical field: statistics, applied mathematics, computer science, engineering, economics, etc.
- Experience translating business questions into data analytics approaches
- Strong proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, etc.)
- Experience building machine learning algorithms and pipelines using Python or R
- Experience crafting and analyzing experiments, using appropriate statistical techniques to mitigate bias and interpret statistical significance
- Familiarity with descriptive and inferential statistics (e.g. t-test, chi-square, ANOVA, correlation, regression, etc.) to understand usage behaviors and generate hypotheses
- Experience creating data visualizations and storytelling to effectively communicate analysis results to both technical and non-technical audiences
- Knowledge of relevant tools in this field such as Hive, Tableau, Excel (Charting and Pivot-Tables), and PowerBI
- Strong analytical skills & ability to code (SQL, Python, R)
- Results oriented
- Strong oral and written communication skills
- Strong organizational skills
- Self Sufficient
- Self-Starter
- Strong interpersonal and team skills
- Strong computer literacy skills
- Intermediate in utilization of Microsoft Office Suite (Outlook, Excel, Word etc..)
- Ability to work in a matrixed organization
- Proficient level of English
- Full or part time student:
- Must be a currently enrolled student at an accredited university (Junior or Senior status)
- Pursuing a bachelor’s degree within Mathematics/statistics, Business, Operations, Tooling Manufacturing.
- Purchasing Experience, quoting, understanding, plus
- In-process of a PhD or advanced Masters in machine learning or in application of deep learning in related scientific or engineering fields
- Deep experience in application of machine learning to images/video, audio, natural language text, and/or other digital signal processing, transformation, or generation
- Demonstrated experience with leading machine learning tools and libraries
- A self-starter who capable of digging deeply into ideas and concepts and generating rapid prototypes
- Experience or understanding of common ML-Ops patterns is a plus
- Experience with full stack development is a plus
- Good verbal and written communication skills
- You are fearlessly self-driven
- You have an insatiable desire to learn
- You are empathetic - you can clearly communicate your thoughts and opinions to others
- You are passionate about high quality, maintainable and testable code
- You have a solid grasp of data science fundamentals
- You want to build reliable and highly scalable systems
- You have some experience or exposure working with business analysis, or as a Data Analyst - this is a plus, not mandatory.
Minimum Qualifications
- Good understanding of Data Science fundamentals, eg. Statistics, Models
- Knowledge and understanding of at least one programming language, eg. Java, Python, C
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