Total 2 Internship science rd research job vacancies in The United States of America

Required Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
• Familiarity with programming languages such as Python or R
• Basic understanding of data analysis and visualisation tools such as Tableau, Power BI, or equivalent
• Knowledge of fundamental machine learning concepts like linear regression, decision trees, random forests, or neural networks
• Strong analytical thinking and problem-solving skills
• Ability to work in a fast-paced, team-oriented environment
• Good communication and collaboration skills

Preferred Skills (but not mandatory)

• Hands-on experience with data projects, internships, or coursework in data science, machine learning, or AI
• Familiarity with big data tools and frameworks like Hadoop, Spark, etc.

Responsibilities

• Assist in analysing large datasets to uncover trends and generate insights
• Contribute to the design and development of machine learning algorithms
• Support the creation of predictive models and perform exploratory data analysis
• Collaborate with cross-functional teams to understand business challenges and help develop data-driven solutions
• Present findings and insights to both technical and non-technical stakeholders
• Stay up-to-date with the latest developments in data science and machine learning, applying new techniques to real-world projects

Perks & Benefits

• Central location
• Easy to commute, surround with public transportation facilities
• Personal development opportunities
• Opportunities to join reward system

Required Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
• Familiarity with programming languages such as Python or R
• Basic understanding of data analysis and visualisation tools such as Tableau, Power BI, or equivalent
• Knowledge of fundamental machine learning concepts like linear regression, decision trees, random forests, or neural networks
• Strong analytical thinking and problem-solving skills
• Ability to work in a fast-paced, team-oriented environment
• Good communication and collaboration skills

Preferred Skills (but not mandatory)

• Hands-on experience with data projects, internships, or coursework in data science, machine learning, or AI
• Familiarity with big data tools and frameworks like Hadoop, Spark, etc.

Responsibilities

• Assist in analysing large datasets to uncover trends and generate insights
• Contribute to the design and development of machine learning algorithms
• Support the creation of predictive models and perform exploratory data analysis
• Collaborate with cross-functional teams to understand business challenges and help develop data-driven solutions
• Present findings and insights to both technical and non-technical stakeholders
• Stay up-to-date with the latest developments in data science and machine learning, applying new techniques to real-world projects

Perks & Benefits

• Central location
• Easy to commute, surround with public transportation facilities
• Personal development opportunities
• Opportunities to join reward system