Data Scientist

SwiftCruit; Spring (TX); On-site; USD 71,500 - 164,400; Full time

Benefits offered by this job

Health & Wellbeing benefits

Personal & Professional Development programs

Inclusive workplace culture

Job summary

SwiftCruit is seeking a Data Scientist primarily based in Spring, Texas. This role requires a Bachelor's degree in Statistics, Operations Research, or Computer Science and involves utilizing advanced analytic models to provide insights for decision-making.

Responsibilities include data validation, developing metadata, and supporting data science solutions. The position offers annual salary ranging from USD 71,500 to 164,400, reflecting base salary along with possible incentives.

Qualifications

• Bachelor’s degree or equivalent in relevant field.
• Basic knowledge of data science methodologies.
• Basic understanding of analytics software.

Responsibilities

• Participate in the validation of data sets and solutions.
• Aid in the development and maintenance of metadata.
• Contribute to building models for overall solutions.
• Support delivery of data science solutions.

Skills

Basic knowledge of data science methodologies

Basic understanding of business requirements

Basic data mapping and migration skills

Basic knowledge of analytics software (R, SAS, SPSS, Python)

Basic knowledge of machine learning

Basic data visualization techniques

Education

Bachelor’s degree in Statistics, Operations Research or Computer Science

Tools

ETL tools (Informatica, Ab Initio, Talend)

Job description

Data Scientist

This role has been designed as "Onsite" with an expectation that you will primarily work from an HPE office.

Job Family Definition

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.

Management Level Definition

Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

Responsibilities

• Participates in the analysis and validation of data sets/solutions/user experience.
• Aids in the development, enhancement and maintenance of a client’s metadata based on analytic objectives.
• May load data into the infrastructure and contributes to the creation of the hypothesis matrix.
• Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
• Contributes to building models for the overall solution, validates results and performance.
• Contributes to the selection of the model that supports the overall solution.
• Supports the research, identification and delivery of data science solutions to problems.
• Supports visualization of the model’s insights, user experience and configuration tools for the analytics model.

Education and Experience Required

Bachelor’s degree in Statistics, Operations Research, Computer Science or equivalent.

Knowledge and Skills

• Basic knowledge of data science methodologies.
• Basic understanding of business requirements and data science objectives.
• Basic data mapping, data transfer and data migration skills.
• Basic understanding of analytics software (e.g. R, SAS, SPSS, Python).
• Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (e.g. Informatica, Ab Initio, Talend).
• Basic communication and presentation skills.
• Basic data knowledge of relevant data programming languages.
• Basic knowledge of data visualization techniques.

What We Can Offer You

• Health & Wellbeing – we strive to provide a comprehensive suite of benefits that support physical, financial, and emotional wellbeing.
• Personal & Professional Development – we invest in your career with programs to help you reach your career goals.
• Unconditional Inclusion – we are inclusive and celebrate individual uniqueness.

Salary

Annual Salary USD 71,500 - 164,400 in Texas. The listed salary range reflects base salary. Variable incentives may also be offered.

Equal Employment Opportunity

HPE is an Equal Employment Opportunity/Veteran/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are based on qualifications, merit, and business need. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.