Data Scientist - Emerging Talent (Meraki)

Company:  Cisco
Location: San Francisco
Closing Date: 08/11/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

The modern world runs on the Internet, and the Internet cannot exist without its underlying infrastructure. Meraki makes setting up, managing, and maintaining that infrastructure easier than it has ever been before. Meraki enables connectivity everywhere from neighborhood cafes to renowned universities to global hospitality groups operating thousands of sites. And Meraki's hardware organization is responsible for building the physical devices that get people online.


Meraki is looking for a Data Scientist to join Cisco Wireless & Meraki Hardware’s JDM (Joint Development Manufacturing) Data Science Team. As a Data Scientist you will be a key partner in Meraki’s analytics ecosystem, responsible for conducting data-driven analyses that drive key decisions. You will work on high impact and visibility initiatives using award-winning data sets, and you will help shape how teams use this data to achieve their goals.


As part of this role, you will develop relationships across teams including product management, hardware development, quality, support, supply chain, and our manufacturing partners. Ideal candidates will have strong communication skills, an analytical mindset, excellent organizational skills, and a bias to action. You don't wait for change - you embody the change you want to see in the world!


Meraki believes that the quality of our product is dependent on the quality of our employees. We place a high value on nurturing the growth and development of everyone on our team. We foster an open and supportive workplace where everybody is given the opportunity to succeed.


EXAMPLE PROJECTS OF A DATA SCIENTIST:


  1. Build and maintain datasets from the raw data ready to support statistical analysis.
  2. Analyze the failure rate trends over time of our manufacturing partners. Normalizing for different products and product complexity, are failure rates decreasing? Are any of our partners better than others?
  3. Investigate whether we can identify a correlation between hardware unit failure rates and any of our tracked metrics. Can we predict hardware failures and prevent them?

MINIMUM QUALIFICATIONS:


  1. 1 to 3 years experience with SQL
  2. 1 to 3 years experience working with core statistical concepts & machine learning models (e.g. correlation, causal analysis, regression analysis, survival analysis) in Python or R
  3. 1 to 3 years experience with data visualization tools (e.g. Tableau)
  4. Ability to take initiative and work autonomously
  5. Strong analytical and critical thinking skills
  6. Strong written and oral presentation skills. Able to communicate complex concepts to a variety of audiences.

BONUS POINTS FOR:


  1. Showcased expertise in Bayesian Inference
  2. Have publication in reputed international journals or open-source contributions.

Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.


At Cisco Meraki, we don't just accept difference - it's one of our key values. Everybody In means we listen to each other's opinions. Everybody is accepted and valued here, and we are a team that works as one towards our goals. We recognize that diverse teams make the strongest teams, and we encourage people from all backgrounds to apply.

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