Position Title: Sr. AI Data Scientist
Location: USA-NC-Raleigh
Functional Area: Sales Support
Facility: Corporate Office
Relocation Provided: No
Education Required: Doctorate Degree
Experience Required: 3 - 5 Years
Travel Percent: 10
Position Description
Lenovo, a member of the Fortune Global 500, is the fastest growing technology company on the planet, with growth outpacing our competition quarter after quarter and we’re growing!
Lenovo is gearing up to lead the intelligence transformation by making Artificial Intelligence (AI) applications easy to develop and deploy in data centers to improve time to value. To achieve our mission, we are seeking an outstanding senior data scientist to solve challenging problems in the area of big data, which include big data analytics, deep learning, machine learning, data mining, text mining and others. The successful candidate will have an opportunity to work with real world problems in healthcare, manufacturing, academia, finance and retail industries through customer PoCs in our AI innovation center and create appropriate solutions.
The ideal candidate should be able to identify a business problem through customer meetings, reformulate it to a data science problem, select sources of data, and conduct the analysis that would deliver value to the customer.
Key Responsibilities
• Collaborate with customers to design best data analytics solutions for various business problems
• Understand customer data sources, integrates multiple sources or types of data, applies tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis.
• Apply innovative methods, algorithms and tools including deep learning and machine learning to extract value from the data
• Validate methods, make recommendation on implementation including enhancement of data sources
• Familiarity with underlying hardware architectures such as accelerators to scale data science problems for improving time to value
• Present proposals and results to our business customers
• Collaborate with marketing/business development teams in scoping out new opportunities
• Make recommendations to hardware and software teams on developing appropriate products and solutions
Position Requirements
The ideal candidate will possess the following experience:
• Ph.D degree in computer science or data science related fields with 3+ years of working experience
• Expertise in deep learning, machine learning, graph analytics and text mining techniques, such as classification, regression, clustering, feature engineering, label propagation, PageRank, information extraction, topic modeling etc.
• Expert knowledge of data structures and algorithms
• Strong programming skills in one or more in the following: Python, R, Java, C++
• Project management experiences
• Industry experiences on one or more from the following: deep learning, machine learning, graph analytics, natural language processing, recommendation system, predictive modeling.
About Lenovo:
At $46B in global sales, in over 160 countries, Lenovo is a collection of highly skilled and talented people doing what we do best: producing the very best in world-class products. From personal computers and tablets, to cell phones, applications and servers. Everyone here at Lenovo is an integral part of the company, working together, across continents, cultures and innovations, all comprised in a friendly, fast-paced, work environment that focuses on one common goal: to be known as the best in what we DO. We're looking to add fresh, talented individuals who are self-motivated and desire boundless opportunities, to join us. Come share in the discoveries that are forged from our shared achievements at Lenovo as we drive the next generation in technology.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Ciudad: buenos aires
