Supplyframe is hiring for a Data Science intern role in US

Position:

Title: Data Scientist Intern
Role Type: Internship
Primary Focus: Analyze large-scale e-commerce data for pattern recognition and predictive modeling
Department: Engineering Team

Company:

Name: Supplyframe, Inc.
Parent Organization: Recently acquired by Siemens
Industry: Digital Industries and E-commerce Analytics
Mission: Leveraging data science and machine learning to drive innovation and insights within the digital industry

Location:

Address: Pasadena, California, United States
Work Flexibility: On-site with flexible schedules and remote work opportunities available as required

Job Type:

Employment Type: Full-time, temporary position
Contract Nature: Fixed-term internship program, aligned with academic timelines

Job Mode:

Mode of Work: Primarily on-site with some work-from-home flexibility as per project needs and team policies

Job Requisition ID:

ID Number: 438560

Years of Experience:

Requirements: No specific years of experience required; open to students currently enrolled in relevant academic programs

Company Description:

Overview: Supplyframe, Inc., a company recently acquired by Siemens, is known for its contribution to digital industries, particularly in the e-commerce analytics and digital solutions sector. It focuses on leveraging data science and machine learning to create intelligent business insights that drive innovation.
Culture: Supplyframe maintains a strong, inclusive work culture where each employee feels valued and empowered. With an entrepreneurial spirit at its core, the company encourages creativity and offers a supportive environment for professional growth.
Values: The company champions diversity and inclusivity, creating a workplace where different perspectives are valued. Siemens, as the parent company, supports this mission by providing equitable opportunities and resources for employees to succeed.
Learning and Development: Supplyframe is committed to nurturing young talent by providing opportunities for hands-on learning and skill development. Interns get exposure to real-world projects and guidance from experienced professionals, helping them grow into future leaders.
Future Prospects: Supplyframe envisions a dynamic workforce that includes talented individuals from diverse backgrounds. By empowering interns and other employees, it aims to build a pipeline of future leaders who contribute to digital transformation across industries.

Profile Overview:

Internship Opportunity: This is a Summer 2024 internship program aimed at university students interested in data science and analytics.
Key Responsibilities:
- Collaborate with the Engineering team to analyze and interpret large sets of e-commerce data.
- Engage in traffic analysis and model user behavior to uncover patterns using machine learning algorithms.
- Work on predictive analytics projects that support decision-making for various business units.
Learning Objectives:
- Gain hands-on experience in data science and e-commerce analytics by working on real-world projects.
- Develop practical skills in Python programming, machine learning model training, and predictive analytics.
- Expand your knowledge in data science tools, especially in areas such as user log data analysis.
Project Exposure: Interns are given substantial exposure to industry-grade tools and resources that help them become proficient in data-driven problem-solving.
Mentorship: This internship provides opportunities for mentorship from experienced engineers and data scientists, fostering a supportive learning environment.
Career Development: The program is structured to enhance interns' marketability, equipping them with skills and experience to compete in the job market.

Qualifications:

Educational Background:
- Currently enrolled in a university program, working toward a PhD or Master’s degree in fields such as Statistics, Data Science, or Machine Learning.
- Strong foundation in quantitative disciplines related to data science.
Technical Skills:
- Proficiency in Python for data manipulation and machine learning tasks.
- Hands-on experience with machine learning algorithms and model training processes.
- Understanding of data analysis and e-commerce metrics, particularly with web analytics.
Problem-Solving Skills:
- Ability to apply theoretical knowledge to real-world problems, particularly in web and user data analysis.
- Demonstrated passion for uncovering insights and making data-driven decisions.
Preferred Skills (Not Mandatory):
- Experience with big data frameworks such as Hadoop, Spark, or programming languages like Scala.
- Background in research with a proven ability to take a problem from conceptualization to implementation.
Interpersonal Qualities:
- Excellent communication and collaboration skills, with a strong team-oriented mindset.
- Ability to work in a flexible and fast-paced environment, adapting to new tasks and challenges.

Additional Info:

Internship Duration: Approximately 10-12 weeks, scheduled to align with the academic calendar.
Compensation:
- Hourly Rate: Ranges from $43.27 to $48.08 per hour, depending on the candidate’s work location and relevant skills.
- Factors for Pay Determination: Compensation is based on factors like job location, individual skills, and education or training level.
Work Environment:
- Inclusion and Diversity: Supplyframe values diversity and creates a welcoming workplace for individuals of all backgrounds.
- Dress Code: The company maintains a casual dress code to encourage comfort and creativity among team members.
- Flexible Scheduling: Some flexibility is offered in work hours, with opportunities for remote work as necessary.
Equal Employment Opportunity (EEO) Statement:
- Commitment to EEO: Siemens and Supplyframe are Equal Opportunity Employers, committed to nondiscriminatory hiring practices.
- Inclusion of All Individuals: All qualified candidates will be considered regardless of race, color, religion, sex, nationality, disability, or other protected characteristics.
- Accommodations for Disabilities: Siemens provides reasonable accommodations for applicants with disabilities throughout the hiring process.
Additional Legal Notices:
- EEO Law: Employees and applicants are protected by federal law from discrimination. More details are available on their official website.
- Pay Transparency Non-Discrimination: Siemens complies with Executive Order 11246, ensuring non-discriminatory practices in compensation.
- California Privacy Notice: For California residents, additional information on personal data usage and privacy rights is available.