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Job Opportunity in Singapore as a Senior Data Scientist for Consumer Product

Job Opportunity in Singapore as a Senior Data Scientist for Consumer Product

Singapore 30 Nov 2020
Twitter

Twitter

Nonprofit organization, Browse similar opportunities

OPPORTUNITY DETAILS

Total reward
0 $
Nonprofit organization
Area
Host Country
Deadline
30 Nov 2020
Study level
Opportunity type
Opportunity funding
Full funding
Eligible Countries
Eligible Region
All Regions

Twitter offers a job opportunity in Singapore to work as a senior data scientist in consumer product. Twitter’s mission is to be a global platform for public conversation. The Singapore data science team works closely with consumer product groups across clients, performance, and growth to design metrics, perform advanced analyses, and run experiments to improve company's product for global markets. You’ll work closely with the partners in product, engineering, design to advance a deep understanding of how users are using the product, inform product decisions and influence the company strategy.

Eligibility: 

You must have:

  • A broad and deep technical background in data science and analytics, and be proficient at analyzing large structured and unstructured datasets to derive insights. 
  • Be highly technical and hands on but also demonstrate a strong product mindset and provide strong technical mentorship to other data scientists and up-level the overall technical bar of the DS team.
  • The ability to take responsibility for the group’s short-term and long-term strategy, define the team's road map, success metrics, and priorities in close collaboration with multi-functional partners as well as drive a culture of trust, respect, and inclusion within your teams. 
  • The ability to deliver actionable results through your combination of data science solutions, product thinking, statistical knowledge, and deep understanding of data.
  • The ability to collaborate with product managers, engineers, designers, and user research to drive product impact.
  • The ability to distill complex analytical results into presentable, digestible, and actionable feedback for product and engineering teams. 
  • The ability to lead and prioritize projects.
  • The ability to create a culture of rigor and scientific inquiry.
  • Understanding consumer products. 
  • 4+ years experience in data science and quantitative analysis (preferably in an engineering or product role).
  • Strong programming skills (Python, R, SQL) and experience using common analysis tools (Hive, Presto, Scalding).
  • Strong bias to action, creative problem solving mindset, and proactive communication.

It's preferred to have:

  • An advanced degree in a quantitative domain such as computer science, machine learning, statistics, operations research, or similar. Masters and PhD is a plus but not required.
  • Proficiency with ML and data analytics technologies such as Spark, Airflow, TensorFlow, etc.

About Twitter: 

Twitter serves the public conversations because conversation is a force for good in the world. The opportunity to help the world connect, debate, learn, and solve problems is what draws the company to careers at Twitter.

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