Data Scientist (Houston, Texas)

Description

This is a hybrid Data Scientist role in the company's Houston, Texas office, with an average of 2 days per week on site.

The company is a global edge-to-cloud business that helps other companies connect, protect, analyze and act on their data and applications, from edge to cloud.

You will design, build and apply analytic models, drawing on statistics, operations research, computer science and process methods, to turn structured and unstructured data into information that guides decisions.

You will use visualization to present analytic findings as clear business stories, covering descriptive, inferential and predictive insights.

You will embed analytics into client business processes and applications, combining business understanding with scientific methods.

You will solve common and sometimes complex technical problems, suggest alternatives where needed, and may lead projects and guide less experienced staff. You will make independent judgments and consult others on the best approach.

Responsibilities

• Define analytics solution goals and technical requirements from user needs, business processes, industry requirements and analytic models.
• Design, build and refine a client's analytic model, choosing the modeling method based on the use case, the available structured and unstructured data, and cost and timing limits.
• Work with Application Developers to place analytic models inside operational systems and business processes, and measure business performance using the model.
• Apply best practices to analytics solutions, help improve them, and lead model enhancements as a full member of the analytics team.
• Build visual models that present insights simply for end users.
• Share the analytics solution with the relevant stakeholders.

Requirements

• A bachelor's degree in Statistics, Operations Research, Computer Science or an equivalent field is preferred, or a master's degree in one of these areas is preferred.
• At least 2 years of relevant experience.
• Advanced knowledge of data science methods such as classical regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis and text mining.
• Ability to turn business requirements into mathematical models and data science objectives that produce measurable results.
• Advanced skill with analytics software such as R, SAS, SPSS or Python, and an advanced understanding of analytics deployment architectures.
• Advanced skill in machine learning, data integration, mathematical modeling and ETL tools such as Informatica, Ab Initio or Talend.
• Advanced communication and presentation skills.
• Strong interpersonal skills and the ability to work effectively across geographic boundaries.
• Working knowledge of Python, SQL, R, SAS, Java and Unix shell scripting.
• Working knowledge of the Hadoop framework is desired.
• Advanced knowledge of data visualization techniques and tools such as Spotfire, SAS, R, Qlikview, Tableau, HTML5 and D3.

Conditions

Hybrid schedule with an average of 2 days per week in an HPE office in Houston, Texas.

Annual base salary of USD 109,000 to 251,000 for roles in Texas, depending on location, experience, education, training and skill level. Variable incentives may also be offered.

The company will accommodate candidates with disabilities during the application or interview process; requests go through its secure accommodation form.

The company is an equal opportunity employer and makes decisions based on qualifications, merit and business need.

The company will follow all applicable laws on the use of arrest and conviction records in hiring.

Benefits

• Comprehensive benefits covering physical, financial and emotional wellbeing, detailed at the company's US benefits page.
• Career development programs for reaching career goals, including becoming a subject expert or moving into another division.