Data Scientist

Data Scientist

Candidates will need to travel to Dallas, TX about 3 days per week and will be reimbursed

Job Description:

Candidates who have strong forecasting experience (external), ability to build custom integration models, etc will be key for this project; + Pyspark, Large data processing, forecasting, business acumen (auto exp is a bonus), model deployment

Need details writeup from candidate regarding his Pyspark, Large data processing, forecasting, business acumen related projects

Participants will tackle a real-world forecasting problem, leveraging large datasets and advanced machine learning techniques to develop intelligent forecasting models. This hackathon will focus on predicting key variables relevant to optimizing complex systems for forecasting demand.

Skills You'll Utilize:

• PySpark: Harness the power of distributed computing to process and analyze massive datasets.
• Databricks: Utilize a unified analytics platform to streamline your development workflow and collaborate effectively.
• Machine Learning: Apply various machine learning algorithms and techniques to build accurate and robust forecasting models.

Why Participate?

• Gain hands-on experience with industry-leading technologies.
• Work alongside IBM’s data scientists and engineers.
• Network with fellow students from top universities.
• Compete for exciting prizes and recognition.
• Potential opportunity for internships or full-time employment.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Strong programming skills in Python.
• Familiarity with machine learning concepts and techniques.
• Experience with PySpark and Databricks is a plus.
• Excellent problem-solving and analytical skills.
• Ability to work effectively in a team environment.