Senior Applied Scientist, JP Science and Data - AVS ProServe

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Applied Scientist, JP Science and Data - AVS ProServe Tokyo, JPN We are seeking a talented, customer-focused Senior Applied Scientist to join the AVS ProServe Science and Data Team. In this role, you will develop and apply machine learning algorithms to solve ambiguous business problems, leading the roadmap to help vendors understand their customers, identify opportunities for growth and define long-term strategy. The ideal candidate brings deep expertise in machine learning, interpretable models, transformers, and experimentation, along with the business acumen to translate problems into scalable science solutions. We're looking for a self-starter with an entrepreneurial spirit who is comfortable with ambiguity, demonstrates strong attention to detail, and thrives in a fast-paced, data-driven environment - with a passion for driving measurable impact. Key job responsibilities • Develop customer understanding models by designing and building orchestrated ML solutions that enable vendors to deeply understand their customers and uncover growth opportunities • Bridge science and business strategy by translating model outputs into actionable insights and recommendations that inform vendor growth strategies, customer acquisition, and long-term planning • Measure and validate business impact by closing the loop between science solutions and business outcomes - establishing measurement frameworks that quantify impact, surface new opportunities, and continuously refine the path to vendor growth • Lead cross-functional collaboration by working with engineers, scientists, consultants, and business leaders to deploy scalable solutions while communicating complex technical concepts clearly to non-technical audiences • Stay at the forefront of innovation by applying state-of-the-art techniques in machine learning, interpretable

Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.