Data Science Architect

Data Science Architect

This role has been designated as ‘Edge’, which means you will primarily work outside of an HPE office.

Who We Are:
HPE PointNext is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation - giving clients the most effective solutions for a fast-paced, modern business along with the expertise to achieve maximum business benefit, and to deliver better experiences.
- Job Family Definition:_

Provide technology consulting to external customers and internal project teams. Responsible for providing technical support and/or leadership in the creation and delivery of technology solutions designed to meet customers’ business needs and, consequently, for understanding customers’ businesses. As trusted advisor create and maintain effective customer relationships so as to insure customer satisfaction. Maintain knowledge of leading edge technologies and industry/market domain knowledge. Actively contribute to the company’s solutions portfolio by providing information ranging from technical knowledge to methodologies based on experience gained from customer projects. Shape technical direction and technical strategies within the organization and for external customers. Accountable for consistent and significant chargeability levels (or expense relief for internal project teams) and for assisting in meeting or exceeding revenue and customer satisfaction goals. Contribute to organization’s profitability by generating and cultivating new business opportunities and by providing technical support for deal proposal development.
- Management Level Definition:_

What you will do- 10-15 years of experience manipulating data sets and building statistical models- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.- Assess the effectiveness and accuracy of new data sources and data gathering techniques.-
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.- Coordinate with different functional teams to implement models and monitor outcomes.- Develop processes and tools to monitor and analyze model performance and data accuracy.- Strong problem-solving skills with an emphasis on product development.- Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.- Experience working with and creating data architectures.- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.-
- Excellent written and verbal communication skills for coordinating across teams.- A drive to learn and master new technologies and techniques.- Ability to create new solutions with the right/optimized components for the given use cases- Experience communicating & presenting to business teams/CXO level audience

Skills preferred:
Minimum 5 years’ experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.- >5 years’ Experience querying databases and using statistical computer languages: R, Python, SQL, etc.- Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.- Experience in computer vision, OCR, image & video analytics algorithms- Strong understanding of text preprocessing and normalization techniques, such as tokenization, POS tagging, and parsing- Should know any of the following frameworks: TensorFlow, PyTorch, Caffe, mxnet, Keras and Theano.

What we can offer you:
A competitive salary and extensive social benefits

Diverse and dynamic work environment

Work-life balance and support for career development

An amazing life inside the element

Want to know more about how you can make your mark with us?

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HPE is an Equal Employment Opportunity/Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and gr