Data Scientist Intern

Key Skills

AI technology, Analytical and Problem solving, AWS, Azure, Business Intelligence, Data Engineering, Data science techniques, Data Visualization, Effective communication skills, Google BigQuery, Google Cloud Platform (GCP), Machine learning techniques, PowerBI, Predictive Modeling, Python Programming, QlikView, SQL, Statistical modeling, statsmodels, Tableau

Job Description

What We Need:

An internship of the Business Intelligence team, this person will join the process of designing and tuning the AI/stat models to meet the business needs.

What You’ll Be Doing:

• Understand the business need including nuances of the products, sales channels, business cycles, and levers like promotions, advertising, etc.
• Ensure completeness, accuracy, and quality of data received.
• Identify anomalies in the data and resolve the anomalies partnering with business.
• ETL and develop scalable machine learning pipelines.
• Design, configure and tune the AI product model to generate the necessary model outputs.
• Evaluate the accuracy of the model outputs and analyze the output to identify issues in the model.
• Create and present reports showing model performance, and have an engaging conversation with business stakeholders.
• Analyze and resolve any ongoing issues with model performance.

What You’ll Need To Be Successful:

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics, or other related fields
• 3+ years of Data Science experience working in applied machine learning.
• 2+ years of hands-on experience in python, and SQL.
• Be able to use data visualization / BI tools, such as Tableau, Power BI, or Qlik.
• Skilled in developing and deploying machine learning models and solutions, analytical problem-solving, pattern recognition, and predictive modeling
• Understanding of data structures, data modeling, and software architecture. The experience of working on cloud infrastructures will be helpful.
• Expertise in evaluating model output and identifying model improvement opportunities.
• Excellent problem-solving skills and natural ability to think analytically.
• Strong communication skills.
• Strong work ethic and passion for learning and contributing to the development
• Collaborative mindset. Able to collaborate closely and effectively with teams

Desired Knowledge, Skills & Abilities

• Master’s degree, MBA or Ph.D. degree is a plus.
• Data Engineering experience is a big plus.
• Good understanding of the manufacturing planning process. Understanding of manufacturing data model is a plus.
• 1+ years of hands-on experience in AWS, Azure, or Google Bigquery.