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(Please apply directly here to be considered for the role: [1] https://grnh.se/391d63bb1us)
When passionate people are able to spend less time struggling with technology, they can spend more time on what matters - like teaching children, running businesses, keeping airports safe, and connecting disaster victims with relief. Thats the real power of simplicity. Cisco Meraki is the leader in cloud-managed IT, thanks to our creative, inclusive, fearless team that is driven to simplify technology so the world can simply work!
Cisco Meraki is revolutionizing the way IT administrators manage their infrastructure by providing simple and secure cloud-managed solutions! With a large install base of customers and rich, multi-dimensional data sets, the potential for data analytics to improve business performance for both our customers and our own business is enormous.
About the Role
The Data Science team is a growing group that works closely with executives and leaders across the company to support the business strategy. As a Lead Data Scientist, you will use rigorous quantitative methods to deliver value to the customers and enable data-driven product development. This would be an outstanding fit for a hands-on individual, has the ability to work autonomously, and can drive technical efforts in building robust AI/ML solutions. If you love to apply your data science skills against massive interconnected datasets with immediate business impact, then this will be the role for you.
What Will You Do
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Technically lead AI/ML initiatives with other data scientists through the design, development, and deployment phases of ML-oriented product features.
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Follow data science methodologies around model selection, training data set sampling strategy, model validation and monitoring.
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Develop the technical skills of junior team members by providing hands-on reviews and mentorship.
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Partner with the Data Science Infrastructure team through every stage of ML workflow including data ingestion, model building, and model ops.
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Collaborate actively with Product Management, Engineering and UX to measure the impact of product launches, including validating behavior tracking, defining success metrics, aligning on experimental approaches and communicating metrics impact.
What Skills You Possess
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8 years of Data Science experience for software products, e.g. networking software, online shopping, social media, financial services etc..
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Demonstrated leadership in delivering on high-visibility projects with minimal oversight.
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Proficiency with Python, SQL, Statistical modeling, Machine learning, MLOps tools.
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Strong written and oral presentation skills. Able to communicate complex concepts to a variety of audiences
Bonus Points For:
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5 years of data mining experience with large datasets.
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2 years of experience with online experiment
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1 years of experience with large language models
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1 years of experience in the Networking industry
We encourage you to drop us a line even if you dont have all the points above. That's a lot of different areas of responsibility! We will help you pick them up because we believe that great engineers come from diverse backgrounds.
At Cisco Meraki, were 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. Were 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.
(Please apply directly here to be considered for the role: [2] https://grnh.se/391d63bb1us)
References
Visible links
1. https://grnh.se/391d63bb1us
2. https://grnh.se/391d63bb1us
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.
Full Time
$185k-226k (estimate)
04/29/2024
05/15/2024
cisco.com
ALBANY, NY
>50,000
1984
Public
MIKE PARZYCH
$10B - $50B
Wholesale
Cisco is a California-based designer, manufacturer, and supplier of Internet Protocol-based networking products for industries such as IT and telecommunications.
The following is the career advancement route for Lead Data Scientist positions, which can be used as a reference in future career path planning. As a Lead Data Scientist, it can be promoted into senior positions as a Data Science Manager that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Lead Data Scientist. You can explore the career advancement for a Lead Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Lead Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Lead Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Lead Data Scientist job description and responsibilities
Ability to apply data science to real-world problems, capable of breaking down complex problems into key components where advanced statistics, data science, and AI can be leveraged
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Understanding of limitations and best practices related to model specification, comparison, selection, and deployment.
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in-depth knowledge of statistics, probability, and machine learning methodologies
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Data scientists combine practical skills like coding and math with the ability for statistical analysis to achieve results.
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Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Lead Data Scientist jobs
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Step 3: View the best colleges and universities for Lead Data Scientist.