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JobsAxcelis

Trade Compliance Data Scientist

Axcelis

Trade Compliance Data Scientist

Axcelis

Beverly, MA

·

On-site

·

Full-time

·

5d ago

Required Skills

Python

SQL

Azure

Machine Learning

JOB DESCRIPTION

Job Title:

Compliance Data Scientist I:

Job Summary

As a Data Scientist I, you will lead analytics and automation initiatives from concept through deployment. You will apply advanced data science, data engineering, and automation techniques to streamline compliance and logistics processes. This role requires the ability to develop scalable pipelines, apply machine‑learning concepts, and partner with IT to integrate solutions into enterprise systems.

Essential Duties & Responsibilities

  • Lead development of automated ETL pipelines across ERP and GTM systems.
  • Develop analytics solutions for automated product classification, risk scoring, compliance KPIs, and predictive indicators.
  • Implement automation for entry audits, document validation, and screening workflows.
  • Build dashboards and reporting tools that measure compliance performance.
  • Partner with IT to integrate data solutions and automations into enterprise systems.
  • Lead data‑related initiatives and provide guidance on data strategy and best practices.

Required Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Science, or related quantitative field.
  • Minimum 2 years of experience in data analytics, data engineering, or related fields.
  • Advanced knowledge of Python, R, SQL, and/or data warehouse architectures.
  • Basic understanding of machine learning and AI techniques.
  • Proven experience leading data projects and implementing data solutions.
  • Strong analytical, communication, and leadership skills.

Nice to Have

  • Experience with import/export compliance and/or logistics.
  • Semiconductor or manufacturing industry experience.
  • Familiarity with cloud platforms (Azure preferred).
  • Familiarity with Microsoft Fabric.
  • Knowledge of software engineering practices (Agile, Kanban, etc.).

EQUAL OPPORTUNITY STATEMENT

It is the policy of Axcelis to provide equal opportunity in all areas of employment for all persons free from discrimination based on race, sex, religion, age, color, national origin, disability status, medical condition (including pregnancy), veteran status, sexual orientation, marital status, or any other characteristic protected by federal, state or local law. Axcelis will provide reasonable accommodation necessary to enable a disabled candidate or employee to perform the essential functions of the position, unless the accommodation would create an undue hardship for the Company.

U.S.

BASE SALARY RANGE:

$96,378.40 - $164,799.84

This base salary range reflects the typical compensation for this role across U.S. locations.

Our salary ranges are determined by role and level; individual pay is determined based on

multiple factors, including job-related skills, experience, relevant education or training, work

location, and internal equity. The range provides the opportunity for growth and progression as

you develop within the role.

Base pay is one part of our U.S. total compensation package which includes eligibility in the

Axcelis Team Incentive bonus plan, and comprehensive benefits package (for regular

employees working 20+ hours a week).

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About Axcelis

Axcelis

A provider of equipment and services to the semiconductor manufacturing industry.

501-1,000

Employees

Beverly

Headquarters

Reviews

3.6

12 reviews

Work Life Balance

3.4

Compensation

4.0

Culture

4.1

Career

3.6

Management

3.4

72%

Recommend to a Friend

Pros

Good work-life balance and flexible environment

Supportive team and management

Opportunity for career growth

Cons

Internal communication could improve

Some organizational bureaucracy

Room for improvement in processes

Salary Ranges

49 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Data Scientist I

1 reports

$123,000

total / year

Base

$94,600

Stock

-

Bonus

-

$123,000

$123,000

Interview Experience

41 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer Rate

42%

Experience

Positive 62%

Neutral 28%

Negative 10%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving