What are the responsibilities and job description for the Trainee Consultant-Data Science position at Applexus?
Job Description:
About Applexus
Applexus is a global SAP consulting firm specializing in SAP S/4HANA, Data & Analytics, and SAP BTP solutions. We provide comprehensive end-to-end services, from strategic planning to seamless implementation, backed by deep industry expertise and SAP domain knowledge. Our tailored solutions for various industries and lines of business are designed to enhance business performance, foster innovation, and deliver tangible business value to our clients.
Headquartered in Seattle, Washington, we operate out of centers in the United States, Canada, the United Kingdom, and India. Our commitment goes beyond just business; we're dedicated to making a positive impact by actively serving our communities worldwide.
About the Role
We are looking for a motivated and inquisitive Trainee Consultant – Data Science to join our team. In this role, you will contribute to real-world machine learning and data science projects under the mentorship of experienced professionals. This opportunity is ideal for individuals who are eager to apply their academic knowledge, expand their technical skills, and gain hands-on experience in AI/ML technologies in a collaborative environment.
Skills & Qualifications
- Master’s degree in Computer science, Data Science, Artificial Intelligence, or a related field from an accredited U.S. university.
- Must hold a valid OPT visa.
- Proficiency in Python
- Familiarity with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or Keras.
- Solid understanding of statistics, linear algebra, and core machine learning algorithms.
- Strong analytical and problem-solving abilities.
- Capable of working both independently and collaboratively in a team environment.
Key Responsibilities
- Assist in the design, development, and evaluation of machine learning models.
- Perform data cleaning, preprocessing, and feature engineering tasks.
- Contribute to projects involving predictive modeling, natural language processing (NLP), or computer vision.
- Utilize Python and tools such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch in project execution.
- Collaborate with team members to analyze outcomes and generate actionable insights.
- Maintain thorough documentation of work, models, and findings.
What You’ll Gain
- Practical, hands-on experience with leading AI/ML technologies.
- Mentorship and guidance from experienced professionals in the field.
- Opportunity to contribute to real-world projects with measurable impact.
- Certificate of completion and potential consideration for future full-time roles.