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Operations Data Scientist

Aspect Software

United States

Remote

USD 115,000 - 120,000

Full time

Yesterday
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Job summary

Aspect Software is seeking an Operations Data Scientist to enhance operational performance through advanced analytics and KPIs. The role involves collaboration with cross-functional teams to drive data-driven decision-making and apply machine learning techniques. Join a dynamic environment focused on innovation and operational excellence.

Benefits

Competitive compensation and benefits
Professional development and growth opportunities
Collaborative and inclusive culture

Qualifications

  • 3+ years experience in data science roles, preferably with operations focus.
  • Strong background in data manipulation, modeling, and visualization.
  • Solid understanding of machine learning techniques and their business applications.

Responsibilities

  • Partner with leadership to define KPIs and design and automate tracking.
  • Deliver advanced analytics and predictive modeling across operations data.
  • Conduct in-depth data analysis to identify trends and improvement areas.

Skills

Data manipulation
Modeling
Visualization
Machine learning techniques

Education

Advanced degree in Analytics, Statistics, Data Science

Tools

Snowflake

Job description

This range is provided by Aspect Software. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$115,000.00/yr - $120,000.00/yr

Direct message the job poster from Aspect Software

Senior Talent Acquisition at Aspect Software | IIM Calcutta | WEM & CX | Product Hiring

Job Title: Operations Data Scientist

Location: US, Remote

About Aspect Software: Aspect Software develops world-class Workforce Engagement Management software that empowers businesses to achieve operational excellence. We are committed to fostering a collaborative and dynamic work environment where cutting-edge technology and creative problem-solving converge. Join us as we shape the future of intelligent systems.

Position Overview:

We’re looking for an experienced Operations Data Scientist to join our team and play a key role in measuring, analyzing, and promote the performance of our people and the effectiveness of our operations . This role will partner closely with cross-functional teams to design operational KPIs, support data-driven decision-making, and apply advanced analytics including ML/AI techniques to uncover insights.

Key Responsibilities:

  • Partner with leadership to define KPIs and design and automate tracking.
  • Deliver advanced analytics and predictive modeling across operations data.
  • Build and maintain dashboards to track operational effectiveness.
  • Conduct in-depth data analysis to identify trends and improvement areas.
  • Collaborate with teams to define and refine key performance measures.
  • Provide analytical support to business stakeholders.
  • Run machine learning and AI models to generate operational insights.
  • Translate complex data into actionable recommendations.
  • Promote data quality and governance across operations datasets.
  • Evaluate and report on operational effectiveness using robust data methods.
  • Act as a consultant to teams in using data to improve decision making.

Ideal Qualifications:

  • Advanced degree in Analytics, Statistics, Data Science, or related field.
  • 3+ years experience in data science roles, preferably with operations focus.
  • Strong background in data manipulation, modeling, and visualization.
  • Experience working with people data or operations teams.
  • Solid understanding of machine learning techniques and their business applications.
  • Experience with Snowflake a plus

Why Join Us?

  • Work on impactful and challenging projects that make a difference
  • Be part of a collaborative and inclusive culture
  • Enjoy competitive compensation and benefits
  • Access professional development and growth opportunities
  • Join a team passionate about innovation and excellence
Seniority level
  • Seniority level
    Associate
Employment type
  • Employment type
    Full-time
Job function
  • Industries
    Software Development

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