Data Scientist I

Planview; Austin (TX); Remote; USD 95,000 - 120,000; Full time

Job summary

A global leader in work and resource management is seeking a Data Scientist to integrate data science capabilities within their project management solutions. This role involves AI engineering, predictive modeling, and collaboration with diverse teams. The ideal candidate has a Master’s degree, proficiency in Python and SQL, and strong knowledge of machine learning algorithms. Competitive benefits including flexible work hours and generous PTO offerings are provided.

Benefits

Unplugged Days: 4 paid days off per year

Generous PTO offerings

Competitive benefit plans

Paid time to volunteer

Employee Referral bonus program

Weekly office lunches

Flexible work hours/environment

Qualifications

• Master's degree in Industrial Engineering, Operations Research, Statistics, Data Science, or a related field.
• Proficiency in Python and SQL, along with familiarity with libraries such as pandas and scikit-learn.
• Demonstrated experience in translating customer challenges into data-driven product enhancements.
• Strong knowledge of machine learning algorithms and statistical methodologies.
• Strong written and verbal communication skills.

Responsibilities

• Design and implement AI-powered features to enhance project planning and resource management.
• Extract, transform, and derive features from raw data to improve machine learning model performance.
• Build, test, and refine models to predict task completion times and project outcomes.
• Work closely with cross-functional teams to integrate solutions into products.

Skills

Python

SQL

Machine Learning

Statistical Methodologies

Data Engineering

Education

Master's degree in relevant field

Tools

AWS Tools

pandas

scikit-learn

Job description

Planview has one mission: to build the future of connected work, from ideas to impact.

As the global leader in work and resource management, Planview helps organizations accelerate the achievement of what matters most, supporting our customers from need to speed, from passion to progress, and from overhead to optimization. We provide the industry’s most comprehensive solutions designed for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, and technology management (enterprise architecture), innovation management, and collaborative work and project management. Our connected platform of solutions underpins the business and digital transformations of more than 4,500 customers globally, including 59 of the Fortune 100.

At Planview, our people connections drive our innovation and success. Our global team of 1400+ work remotely and across our offices including Austin, Vancouver, Hod Hasharon, Bangalore, Sydney, and Stockholm. We’re proud of our world-class, connected culture built on our shared values, that supports our teams to be successful from anywhere.

Learn more about our portfolio at planview.com, and connect with us on LinkedIn, Instagram, and X.

The Opportunity

Join our team as a Data Scientist to help integrate data science capabilities within Planview's project management and planning solutions. You will contribute to data collection and analysis, build predictive models, and work with Generative AI technologies.

What You'll Do

Responsibilities:

• AI Engineering: Design and implement AI-powered features to enhance project planning and resource management. Work with Large Language Models and generative AI to automate workflows and provide intelligent recommendations to users.
• Data Engineering: Extract, transform, and derive features from raw data to improve machine learning model performance.
• Predictive Modeling: Build, test, and refine models to predict task completion times and project outcomes.
• Collaboration: Work closely with cross-functional teams including product managers, engineers, and fellow data scientists to integrate solutions into our products.

What You'll Bring

Required Qualifications:

• Master's degree in Industrial Engineering, Operations Research, Statistics, Data Science, or a related field.
• Proficiency in Python and SQL, along with familiarity with libraries such as pandas and scikit-learn.
• Demonstrated experience in translating customer challenges into data-driven product enhancements.
• Strong knowledge of machine learning algorithms and statistical methodologies.
• Strong written and verbal communication skills.

Preferred Qualifications:

• Familiarity with project management frameworks like Agile, Scrum, or Waterfall.
• Hands-on experience with AWS tools such as Athena, SageMaker, and Bedrock.
• Experience building with Large Language Models
• Basic understanding of knowledge graphs and ontologies

Benefits at Planview

At Planview, you’ll join our global team and culture which reflects the vibrant communities in which our employees live and work. To support you at Planview, you will enjoy:

• Unplugged Days: 4 company-wide paid days off per year to recharge and relax.
• Generous PTO offerings (region dependent).
• Region specific competitive benefit plans to support you at any life stage including parental leave, retirement, medical plans, wellness support, and remote work support.
• Paid time to volunteer through Planview’s Force for Good Week.
• Employee Referral bonus program.
• Weekly office lunches for hybrid team members and social events.
• Flexible work hours/environment.

Equal Employment Opportunity at Planview

Planview is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. As part of our efforts to build a diverse workforce, we encourage applications from Indigenous, Black, and other racialized communities, 2SLGBTQIA+ communities, people with neurodivergence, immigrants, people with disabilities, and other equity deserving groups. In addition to building a diverse workforce, we are committed to fostering an inclusive and accessible experience.

Reasonable accommodations for the interview process can be requested by emailing [e-mail].