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.

Please click here to apply.

✖

Before you go further ...

or

Direct apply link!