General Information

Req #
WD00031163
Career area:
Data Management and Analytics
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Wednesday, June 22, 2022
Working time:
Full-time
Additional Locations: 
* Morrisville - North Carolina - United States of America

Why Work at Lenovo

Here at Lenovo, we believe in smarter technology that builds a brighter, more sustainable and inclusive future for our customers, colleagues, communities, and the planet.

And we go big. No, not big—huge.

We’re not just a US$70 billion revenue Fortune Global 500 company, we’re one of Fortune’s Most Admired. We’re transforming the world through intelligent transformation, offering the world’s most complete portfolio of smart devices, infrastructure, and solutions. With more than 71,500 employees doing business in 180 markets, we help millions—not just the select few—experience our version of a smarter future.

The one thing that’s missing? Well… you...

Description and Requirements

Senior Data Scientist

At Lenovo, we Never Stand Still. Every day, every employee at Lenovo is focused on moving forward, rejecting traditional limits, and always seeking a better way.

We’re looking for a Data Scientist within the Advanced Innovation Center (AIC), Cloud and Software solutions group at Lenovo. In this role you will execute advanced analytics modeling and machine learning techniques based on exploratory data analysis from complex and high-dimensional datasets, to recognize patterns, identify opportunities, and generate valuable customer insights in support of innovative business decisions for our products.

You’ll be a part of highly dynamic agile software development team and will work on the data processing and modeling solutions from the conceptual stages through the development cycle and deployments. You’ll be responsible for developing and maintaining machine learning models that help to gain insights about Lenovo customers, understand the behavior of end-users and improve their consumer experiences. The ideal person for this role is highly analytical, thinks about problems in a structured way, is passionate about generating hypotheses for business problems, and is excellent at delivering actionable insights and recommendations.


Duties and Responsibilities

    • Blend data from diverse sources, process and prepare the dataset for exploratory data analysis
    • Navigate large complex datasets to produce descriptive analysis, correlations, and insights
    • Design, develop and optimize effective machine learning models for user profiling and recommendation applications
    • Working with engineering team to implement models efficiently as part of a high-performance, fault-tolerant, secure, and scalable data pipeline that can scale with business and data growth
    • Conduct ad-hoc data analysis and innovation around data visualization
    • Work closely with product managers to understand business goals and priorities, and the role data plays in achieving them, identify gaps in existing data collections and proactively work to fill them
    • Present analyses and recommendations to cross functional stakeholders for decision making in presentation, verbal and/or communication forms
    • Recommend ways to improve data reliability, efficiency, and quality


Basic Qualifications

    • MS or PhD in Data Science, Machine Learning, Computer Science, Computer Engineering, Electrical Engineering, Physics, Applied Mathematics, or in other quantitative disciplines.
    • 7+ years of experience with Python programming and data science tools (Pandas, NumPy, scikit-learn, TensorFlow, Jupyter Notebook, etc.).
    • 5+ years professional experience in Machine Learning pipeline - data ingestion, feature engineering, model selection, training, and prediction, diagnosing over fitting and model deployment.
    • 5+ years working experience with Spark ML libraries.
    • 5+ years of experience with SQL language.


Preferred Qualifications

    • Deep understanding of Recommender System algorithms.
    • Build predictive models and machine-learning algorithms, and combine models through ensemble modeling
    • Experience with various database, cache, and messaging systems such as Redis, MongoDB, ElasticSearch, Kafka, as well as standard RDBMS and graph database solutions.
    • Strong ability to understand and organize structured and unstructured data from various sources
    • Experience working with cloud-based data solutions (AWS preferred).
    • Professional experience with Python development
    • Present information using data visualization techniques
    • Propose solutions and strategies to business challenges
    • Collaborate with engineering and product development teams

The base salary range for this position in Colorado is $109,000 - $163,000. Individuals may also be considered for bonus and/or commission. Lenovo’s various benefits can be found on www.lenovobenefits.com. ​

#LI-DB1
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class.

Lenovo adopted a COVID-19 Vaccination Policy for US-based employees. As a condition of employment, employees must adhere to Lenovo’s US Vaccination Policy and be fully vaccinated against COVID-19, subject to any applicable accommodations. To be fully vaccinated means individuals must receive the full series of a vaccine either approved by the FDA or WHO and listed by the CDC (e.g. two dose of the Moderna, AstraZeneca or Pfizer-BioNTech vaccines; or one dose of the Johnson & Johnson vaccine). This applies to all US-based employees, contractors and interns, regardless of work location. As a condition of employment, you must provide proof that you are fully vaccinated or follow Lenovo’s accommodation process.

* Morrisville - North Carolina - United States of America