Data Scientist Intern

About the role

Data Scientist Interns play a crucial role in Baynovation's mission to deliver impactful analytics that enhance customer experiences. They collaborate with a diverse team of data scientists and machine learning engineers to build and deploy advanced machine learning models.

Responsibilities

• Build and deploy machine learning models using analytical algorithms and deep learning approaches.
• Work closely with cross-functional teams to understand business needs and translate them into actionable data-driven insights.
• Maintain, develop, and optimize existing data models.
• Create reports and perform ad-hoc analyses to support decision-making processes.
• Communicate findings effectively to both technical and non-technical stakeholders.

Requirements

• Currently pursuing a B.A./B.S. Degree or higher in a quantitative discipline: statistics, applied mathematics, operations research, computer science, management of information systems, engineering, economics or equivalent.
• Returning to the program after completing the internship.
• Good programming skills and knowledge of data science tools and libraries in Python or R.
• Able to write SQL queries to extract and analyze data.
• Experience with data visualization tools such as Tableau, BI dashboards, and R visualization packages.
• Strong mathematical background including linear algebra, calculus, probability, and statistics.
• Familiarity with machine learning techniques such as regression, classification, clustering, optimization, etc., and understanding of their mathematical foundations.
• Ability to communicate complex findings clearly to both technical and non-technical audiences.

Qualifications

• Currently pursuing a B.A./B.S. Degree or higher in a quantitative discipline: statistics, applied mathematics, operations research, computer science, management of information systems, engineering, economics or equivalent.
• Returning to the program after completing the internship.
• Good programming skills and knowledge of data science tools and libraries in Python or R.
• Able to write SQL queries to extract and analyze data.
• Experience with data visualization tools such as Tableau, BI dashboards, and R visualization packages.
• Strong mathematical background including linear algebra, calculus, probability, and statistics.
• Familiarity with machine learning techniques such as regression, classification, clustering, optimization, etc., and understanding of their mathematical foundations.
• Ability to communicate complex findings clearly to both technical and non-technical audiences.

Skills

• Programming skills in Python or R.
• SQL query writing skills.
• Data visualization tools proficiency (Tableau, BI dashboards, R visualization packages).
• Mathematical background including linear algebra, calculus, probability, and statistics.
• Machine learning techniques familiarity (regression, classification, clustering, optimization, etc.) and understanding of their mathematical foundations.
• Effective communication skills to convey findings to both technical and non-technical audiences.

Benefits

• Collaborative and creative work environment with a supportive team of data scientists and machine learning engineers.
• Opportunities to work on impactful projects that directly influence hundreds of thousands of customers.
• Chances to learn from experienced professionals and contribute to innovative solutions.

Pay

Competitive compensation package tailored to the candidate's qualifications and experience.

Schedule

Full-time internship position with flexible hours to accommodate academic commitments.