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Temporary Bachelor Applied Science Jobs (NOW HIRING)

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering ... Applied Sciences M5 - The typical base pay range for this role across the U.S. is USD $142,800 ...

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering ... Applied Sciences M6 - The typical base pay range for this role across the U.S. is USD $165,600 ...

... a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a ... Proven experience in applied machine learning, including a deep understanding of statistical ...

... a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a ... Proven experience in applied machine learning, including a deep understanding of statistical ...

... a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a ... Proven experience in applied machine learning, including a deep understanding of statistical ...

... a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a ... Proven experience in applied machine learning, including a deep understanding of statistical ...

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering ... Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $142,800 ...

Bachelor's degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. * 5+ years of industry experience as an Applied Scientist ...

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Temporary Bachelor Applied Science information

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How much do temporary bachelor applied science jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for temporary bachelor applied science in the United States is $35.51, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $40.38 per hour, depending on experience, location, and employer.

What is the difference between Temporary Bachelor Applied Science vs Laboratory Technician?

AspectTemporary Bachelor Applied ScienceLaboratory Technician
Required CredentialsBachelor's degree in Applied Science or related fieldAssociate's degree or diploma in Laboratory Technology
Work EnvironmentResearch labs, industrial settings, temporary project rolesClinical, research, or industrial laboratories
Employer & Industry UsageEmployers seeking temporary scientific support in various industriesLaboratories requiring technical support and testing
Common Search & ComparisonYesYes

The Temporary Bachelor Applied Science typically holds a bachelor's degree and works in temporary roles across research and industrial environments, focusing on project-based tasks. Laboratory Technicians usually have an associate's degree and perform routine testing and analysis in labs. While both roles support scientific operations, the Bachelor's degree role often involves more complex tasks and project management, whereas Laboratory Technicians focus on technical testing and data collection.

More about Temporary Bachelor Applied Science jobs
What cities are hiring for Temporary Bachelor Applied Science jobs? Cities with the most Temporary Bachelor Applied Science job openings:
What are the most commonly searched types of Bachelor Applied Science jobs? The most popular types of Bachelor Applied Science jobs are:
What states have the most Temporary Bachelor Applied Science jobs? States with the most job openings for Temporary Bachelor Applied Science jobs include:
What job categories do people searching Temporary Bachelor Applied Science jobs look for? The top searched job categories for Temporary Bachelor Applied Science jobs are:
Infographic showing various Temporary Bachelor Applied Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $73,866 per year, or $35.5 per hour.

Applied Science / Data Science Leader

Attentive

San Francisco, CA

$320K - $380K/yr

Full-time

Re-posted 3 days ago


Job description

About the Role

Our Applied Science / Data Science team is a world-class organization focused on using data, experimentation, machine learning, and AI to shape product strategy and accelerate business growth. We partner closely with Product, Engineering, Marketing, Sales, and Customer Success to build intelligent products, optimize customer experiences, and drive measurable business impact.

This will be a leadership role overseeing our applied science / data science team and you will lead a team of high-performing data scientists responsible for solving some of the company's most strategic product and business challenges. You will define the vision for applied data science across multiple product areas, develop innovative analytical and machine learning solutions, and partner with senior leaders to influence company strategy. This is a highly visible leadership role that blends people management, technical excellence, and cross-functional influence.

What You'll Accomplish

  • Lead, mentor, and grow a team of Applied Scientists / Data Scientists, fostering technical excellence and career development
  • Define and execute the applied data science roadmap in partnership with Product, Engineering, and executive stakeholders
  • Drive the development of statistical models, machine learning solutions, experimentation frameworks, and causal inference methodologies to improve product performance and customer outcomes
  • Establish best practices for experimentation, measurement, forecasting, and decision-making across the organization
  • Translate ambiguous business problems into scalable analytical and machine learning solutions
  • Influence product strategy by identifying opportunities through deep analysis of customer behavior, experimentation, and business performance
  • Partner closely with engineering teams to operationalize models and deploy production-ready solutions
  • Present insights and recommendations to senior leadership and executive stakeholders to influence strategic decisions
  • Build a culture of scientific rigor, operational excellence, and continuous innovation across the data science organization

Your Expertise

  • Master's or Ph.D. in Statistics, Computer Science, Economics, Operations Research, Mathematics, Machine Learning, or a related quantitative field; Bachelor's degree with equivalent industry experience also considered
  • 8+ years of experience in Data Science, Machine Learning, Analytics, or related disciplines
  • 3+ years of experience managing and developing high-performing data science teams
  • Deep expertise in experimentation, causal inference, statistical modeling, predictive modeling, and machine learning
  • Experience partnering closely with Product and Engineering organizations to deliver data-driven product improvements
  • Strong proficiency in Python and SQL with experience working on large-scale datasets
  • Excellent communication skills with the ability to influence executive stakeholders through data-driven storytelling
  • Demonstrated success leading cross-functional initiatives from ideation through production

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

  • The US base salary range for this full-time position is $320,000 - $380,000 annually + equity + benefits
  • Our salary ranges are determined by role, level and location

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