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#204747

Data Scientist

Remote (PST)
Date:

Overview

Placement Type:

Temporary

Salary:

$49.44-54.93 Hourly

Start Date:

11.06.2025

This is a US-based position in which you must sit in pacific time zone. This is an 18 month engagement with no possibility of extension

Make a significant impact on a global scale as a Data Scientist with a leading technology innovator! Dive into the world of web browsing data, shaping the future of online experiences for billions of users. This is your chance to contribute to a cutting-edge browser used by millions worldwide, collaborating with a team that values innovation and a positive work environment.

As a Data Scientist on this team, you’ll be immersed in the fascinating world of user behavior and metric analysis. You will play a crucial role in understanding user acquisition, engagement, and retention, partnering with diverse teams across the organization to achieve common goals. Your insights will directly influence product development and business strategy, making a tangible impact on the user experience.

Responsibilities:

  • Analyze internal metrics, user behavior, and other relevant data using various tools and methodologies.
  • Develop and test hypotheses, build models, and extract valuable insights using scripting languages and big data infrastructure.
  • Create and maintain business intelligence reports and dashboards using tools like data visualization platform. 
  • Collaborate with cross-functional teams, including finance, business, product, and engineering, to share insights and drive data-informed decisions.
  • Communicate findings and recommendations to leadership teams clearly and effectively, influencing product strategy and business decisions.

Must-Have Qualifications:

  • Bachelor’s Degree in Computer Science, Statistics, Data Science, Mathematics, Econometrics, Economics, or a related field.
  • 2-4 years of experience in Business Insights, Data Analytics, and Data Science.
  • 2-4 years ofe experience in SQL or Python.
  • 2-4 years of experience with big data platforms like Databricks or similar technologies.
  • 2-4 years experience with manipulating data and completing data analysis & reporting
  • Strong written and oral communication skills.

Nice-to-Have Qualifications:

  • 4+ years of experience in a related field.

About Aquent Talent:

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match.  More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment—one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

#APP

Client Description

Join a global technology leader driving innovation and empowering people and organizations worldwide to achieve more. Here, you’ll collaborate with passionate, diverse teams to create impactful solutions that shape the future. The culture prioritizes growth, inclusion, and purpose—where your ideas are valued, and your work drives real change. Wherever your passion lies and wherever your career is headed—you’ll play a role in projects that touch billions of lives. With flexible work options and a supportive environment, you’ll have the tools to thrive both personally and professionally. Be part of something that truly matters.

Why work with AQUENT? Check out our awesome benefits: https://aquent.com/talent/talent-benefits

Aquent is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.