Intern - Data Science, Machine Learning Growth
Welcome to Adobe! As a global leader in digital media and marketing solutions, we are constantly seeking innovative minds to join our team and help us shape the future of technology. We are currently looking for a passionate and driven Intern to support our Data Science and Machine Learning Growth team. In this role, you will have the opportunity to gain hands-on experience in a fast-paced and dynamic environment, working alongside industry experts to develop cutting-edge solutions. If you have a strong background in data science and a thirst for knowledge, we encourage you to apply for this exciting opportunity. Join us and be a part of our mission to transform the world through digital experiences.
- Collaborate with the Data Science and Machine Learning Growth team to support and assist in developing cutting-edge solutions.
- Conduct research and analysis on industry trends and best practices in data science and machine learning.
- Assist in creating and maintaining data models and algorithms to improve efficiency and accuracy.
- Participate in team meetings and contribute ideas and insights to help drive innovation.
- Utilize data visualization tools to effectively communicate findings and insights to team members and stakeholders.
- Conduct quality checks and ensure data accuracy and integrity.
- Stay updated on the latest advancements and developments in data science and machine learning.
- Take on ad-hoc projects and tasks as assigned by team members.
- Actively seek opportunities to learn and develop new skills in the field of data science and machine learning.
- Embrace and promote Adobe's values and culture, and represent the company in a professional manner at all times.
Strong Background In Data Science: A Successful Candidate For This Internship Should Possess A Strong Foundation In Data Science Concepts, Including Statistics, Machine Learning Algorithms, And Data Manipulation Techniques. This Will Enable Them To Effectively Analyze And Interpret Data To Drive Growth Initiatives.
Proficiency In Programming Languages: The Intern Should Have Experience With Programming Languages Commonly Used In Data Science, Such As Python, R, And Sql. This Will Allow Them To Work With Large Datasets And Build Predictive Models To Support Growth Strategies.
Understanding Of Machine Learning Techniques: As The Role Involves Leveraging Machine Learning To Identify Growth Opportunities, The Candidate Should Have A Thorough Understanding Of Various Machine Learning Techniques, Such As Regression, Clustering, And Neural Networks.
Analytical Mindset: An Intern In This Role Should Have A Strong Analytical Mindset, With The Ability To Think Critically And Problem-Solve Complex Issues. This Will Help Them To Identify Patterns And Trends In Data, And Provide Actionable Insights For Growth Initiatives.
Excellent Communication Skills: Collaboration And Communication Are Essential For Success In This Role. The Intern Should Have Strong Verbal And Written Communication Skills, As Well As The Ability To Present Data And Insights In A Clear And Concise Manner To Stakeholders Across The Organization.
Sql
Programming
Python
Data Analysis
Big Data
R
Machine Learning
Data Visualization
Natural language processing
Data Mining
Statistical modeling
Predictive modeling
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Intern - Data Science, Machine Learning Growth in San Jose, CA, USA is $60,000 - $80,000 per year. This can vary depending on the specific company, job responsibilities, and level of experience. Some companies may offer higher salaries for candidates with advanced degrees or specialized skills in data science and machine learning. It is important to research the specific job and company to get a more accurate salary range.
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Adobe Systems, Inc. engages in the provision of digital marketing and digital media solutions. It operates through the following segments: Digital Media, Digital Marketing, and Print and Publishing. The Digital Media segment offers creative cloud services, which allow members to download and install the latest versions of products, such as Adobe Photoshop, Adobe Illustrator, Adobe Premiere Pro, Adobe Photoshop Lightroom and Adobe InDesign, as well as utilize other tools, such as Adobe Acrobat. The Digital Marketing segment offers solutions, including analytics, social marketing, targeting, media optimization, digital experience management, and cross-channel campaign management, as well as premium video delivery and monetization. The Print and Publishing segment offers legacy products and services for eLearning solutions, technical document publishing, web application development, and high-end printing.
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