Data Scientist
vor 5 Monaten
Data Scientist - Analytics I
What you will do:
- Basic level ability to extract data from multiple data sources and combine into the required datasets for model building or analytics
- Demonstrates begineer level understanding and correct applicaton of descriptive statistics.
- Is able to evaluate appropriate measurement techniques and design and recommend simple experiments to answer business questions eg. Pre/post, AB, causal impact etc
- Possesses understanding of common data models, their underlying assumptions, the types of business questions they can best answer, and what data sources would best support the model (i.e. linear and logistic regression).
- May be unfamiliar initially with the domain but takes the iniative to learn more (i.e. travel, online retail), business objectives, and critical reasoning skills when designing a data project.
- Follows standard chart principles such as labelling and titling.
- Displays basic understanding of which charts are appropriate for different data stories
- Has familiarity with visualisation tools like Tableau and a willingness to upskill.
- Builds trust and works collaboratively and transparently with stakeholders, under manager guidance. Seeks out analytics teammates for peer reviews, brainstorming and other upskilling
- Is able to tell a story in a clear and concise way and present insights rather than just data, with manager guidance
- Articulates solutions, methodologies, and frameworks in a clear and concise way to both technical and non-technical partners but may need guidance from manager / senior peers.
- Can write new / understand existing basic SQL queries (SELECT...FROM...ORDER BY, JOINS, WHERE (AND OR NOT IN), GROUP BY.)
- Correctly joins data from different sources to ensure data quality when needed.
- Posessess strong working knowledge of the most important data sources to their work area. Knows how to find information about new data sources when required and which support channels to go to in order to unblock data issues when they arise
- Enacts data quality checks for reports, clearly annotates code and seeks peer reviews and advice as needed to ensure high data quality.
- Capable of automating basic reporting leveraging key EG tools (i.e. CJA, Tableau etc)
Who are you:
- 0-1+ years for Bachelors / Masters Graduate (preference for Mathematics or Science degree), OR Industry experience, OR completed data apprentiships/certifications.
- Demonstrated experience of using data in a previous role ie. using data to build dashboards or reports which have provided insights to their team/stakeholders or built and maintained a data science project/product in production environments.
- Demonstrable beginner level experience of using Python or SQL for data analysis, structuring, transforming and visualising big data
- Critical thinking and showing an inquisitive mind
- Problem solving skills
- Communication and influencing
- Able to gather information
- Statistics skills
- Experience with SQL, Python, R or similar
- Basic data visualisation for communicating results to stakeholders of different technical levels
**About Expedia Group**
© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
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