Job Details

Smart Device Services Data Scientist - HP

Company name
Hewlett-Packard Company

Location
Boise, ID

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Job Summary:

Identifies research, tools, and analyses required to achieve objectives for large, complex machine learning problems

Structures analytical approaches and develops project strategies and tactics

Consults with senior management on a wide range of issues related to smart device capabilities, machine learning

opportunities

Requirements

Key Competencies:

Strong, proven background in developing real world machine learning algorithms including, conducting exploratory data analysis, cleaning/imputing noisy/missing data, feature engineering, model building and validation.

Good understanding of probabilistic methods for statistical inference and decision making including Bayesian and Frequentist statistics.

Understanding of the theory and practical usage of machine learning methods like Naive Bayes, Logistic regression, SVM, Kernel methods, decision trees, random forests, CART models, Graphical models (Bayesian an Markov Networks), Latent linear models (ICA,PCA, LDA, matrix factorizations) etc. Familiarity with emerging state of the art methods like deep learninga plus.

Participation and strong performance in relevant data science competitions/competitive courses a strong plus.

Strong implementation skills in deploying and scaling cloud based machine learning models on big data

Working knowledge of Amazon AWS ecosystem, especially for deploying big data system architectures, including serverless event driven architectures (AWS-lambda)

Good knowledge of cluster compute frameworks such as Spark and Hadoop ecosystem (MapReduce, HDFS etc.)

Good with SQL and NoSQL Databases

Ability to anticipate opportunities and proactively pursue them

Tenacity, confidence to tackle tough challenges head-on but with the humility required to team with others

Understand, own, drive and deliver your own business while recognizing your role in the larger business

Exercise independent judgment and take initiative

Flexibility and willingness to take appropriate risk

Promote and demonstrate a positive, fun, can-do approach to your job

Commitment to quality & innovation

Excellent written, verbal and interpersonal communication skills

Desired Education, Experience, Skill Sets

Masters/PhD in Computer Science, Statistics or other quantitative field with proven track record (typically 5 years after masters or 3 years after PhD) in a data science role.

Programming Languages: Python, R, Matlab, Scala, Java.

Cluster compute frameworks: Spark, Hadoop

Databases: SQL databases, dynamoDB, Cassandra

Compute architecture: Amazon AWS ecosystem

Company info

Hewlett-Packard Company
Website : http://www.hp.com/

Company Profile
Hewlett-Packard Company, together with its subsidiaries, provides products, technologies, software, solutions, and services to individual consumers, small-and medium-sized businesses (SMBs), and large enterprises, including customers in the government, health, and education sectors worldwide. Its Personal Systems segment offers commercial personal computers (PCs), consumer PCs, workstations, thin clients, tablets, retail point-of-sale (POS) systems, calculators and other related accessories, software, support, and services for the commercial and consumer markets. The company’s Printing segment offers consumer and commercial printer hardware, supplies, media, software and Web services, and scanning devices, as well as inkjet and printing solutions, laserjet and enterprise solutions, and graphics solutions. Its Enterprise Group segment provides industry standard servers; business critical systems; traditional and converged storage solutions; networking products comprising controllers/switches, routers, and wireless LAN access points; and technology consulting and support services focused on cloud, mobility, and data. The company’s Enterprise Services segment offers technology consulting, outsourcing, and support services to infrastructure, applications, and business process domains; and application and business services. Its Software segment provides enterprise information management solutions, such as data analytics, information governance, and digital marketing for structured and unstructured data; IT management software; and security intelligence/risk management solutions as software licenses and software-as-a-service. The company’s HP Financial Services segment offers leasing, financing, utility programs, and asset recovery services; and asset management services to enterprise customers, as well as specialized financial services to SMBs, and educational and governmental entities. The company was founded in 1939 and is headquartered in Palo Alto, California.

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