Senior Data Scientist

Key Skills

Data science techniques, Data Visualization, Effective communication skills, Machine learning techniques, Presentation skills, Python Programming, R Programming, SQL, Tableau, Writing

Job 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 world-class 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 Analytics and 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 demonstrate this data to achieve their goals.

As part of this role, you will develop relationships across teams including software engineering, product management, hardware development, quality, support, and supply chain. Ideal candidates will have strong communication skills, an analytical approach, 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:

• Analyze 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?
• 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?
• Build and maintain datasets from the raw data ready to support statistical analysis

MINIMUM QUALIFICATIONS:

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

BONUS POINTS FOR:

• Showcase expertise in Bayesian Inference
• Have publication in reputed international journals or open source contributions

At Cisco Meraki, we’re challenging the status quo with the power of diversity, inclusion, and collaboration. When we connect different perspectives, we can imagine new possibilities, inspire innovation, and release the full potential of our people. We’re building an employee experience that includes appreciation, belonging, growth, and purpose for everyone.

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.

Message to applicants applying to work in the U.S. and/or Canada:

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.