Job Title: ML Data Specialist – Remote Opportunity

We’re seeking a highly skilled and motivated ML Data Specialist to join our team at Apple, where you’ll play a crucial role in driving the analysis, development, and implementation of machine learning models that enhance the client experience and drive business growth. As a key member of our data-driven team, you’ll work closely with cross-functional groups to turn vast amounts of data into actionable insights that inform business decisions.

Job Details:

  • Hiring Organization: Apple
  • Post Name: Data Scientist
  • Qualifications: Bachelor’s Degree
  • Industry: Private
  • Employment Type: Full-time
  • Work Hours: 8 hours
  • Salary: $24/hour
  • Locations: Austin, USA (Remote)

Job Description:

Key Responsibilities:

  • Drive the analysis, development, and implementation of machine learning models that inform business decisions
  • Collaborate with cross-functional teams to turn data into actionable insights that enhance the client experience
  • Work with large datasets, including clickstream data and A/B experimentation
  • Develop and maintain databases and data systems, including AWS, Snowflake, and Tableau
  • Communicate complex data insights to stakeholders, including product and leadership teams

Requirements:

  • Experience in a data science role, preferably in the digital advertising industry or product assessment
  • Strong programming skills in Python and SQL
  • Experience with cloud-based data platforms, including AWS and Snowflake
  • Excellent communication and collaboration skills
  • Ability to work in a fast-paced, dynamic environment

What We Offer:

  • Competitive salary and benefits package
  • Opportunity to work with a talented and diverse team
  • Professional development and growth opportunities
  • Flexible and remote work arrangements

Apply Now:

Don’t miss out on this exciting opportunity to join our team at Apple. Apply now and take the first step towards a rewarding and challenging career as an ML Data Specialist.

Apply Now

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