Senior Data Scientist

Key Skills

Python Programming, MongoDB, SQL, AWS, RDBMS, Apache Kafka, Machine learning techniques, Data Visualization, Jupyter Notebook, NumPy, Pandas, TensorFlow, Scikit-learn, REDIS, Elasticsearch, Algorithms, SparkML, Recommendation Systems, Predictive Modeling

Job Description

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.