Data Scientist

Pluralsight • Full-time • Remote (Remote from United States of America) • $121,600 - $160,000 / year • 6h ago

Fast Facts

Join Pluralsight as a Data Scientist and contribute to impactful Data Science and Machine Learning projects, leveraging your expertise to solve complex challenges and enhance product offerings.

Responsibilities: Develop and implement algorithms and models, collaborate with team members to define product requirements, and communicate data-driven insights to stakeholders.

Skills: Strong proficiency in SQL and Python, experience with data structures, database operations, and knowledge of NLP and machine learning techniques.

Qualifications: 3+ years of hands-on experience in data science or machine learning, with a proven track record of delivering impactful projects.

Location: Remote - USA

Compensation: $121600 - $160000 / Annually

Job Description:

As a Data Scientist, you will play a pivotal role in our Data Science and Machine Learning (DSML) team, contributing to technical delivery of strategic projects from inception to implementation. You will apply your experience in data science, machine learning, and statistical analysis to solve complex challenges, enhance our product offerings, and deliver actionable insights that propel our business forward. This role requires a blend of technical proficiency and collaboration to help DSML deliver impactful work.

Who you’re committed to being:

You enjoy learning and are open to new ways of doing things.
You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns.
When communicating you are self-aware, insightful, and proactive.
You are a team member first and individual contributor second. You are aware that high-performing teams are only as strong as their weakest link.
You believe in continuous improvement and request frequent feedback from others.

What you’ll do:

Develop algorithms and models from the experimental and prototyping phases all the way through to their use in customer-facing solutions.
Collaborate with data scientists and machine learning engineers to define technical product requirements.
Establish performance metrics, build test suites, and create visualizations that effectively track model behavior.
Communicate complex data-driven insights and recommendations to technical and non-technical stakeholders.

Experience you’ll bring:

Experience self managing projects and deliverables
Experience working on NLP, LLM, and causal imprints.
Hands on experience with search, recommendation engines, forecasting, causal imprints, etc.
Detailed knowledge of data structures and database operations.
Problem-solving skills and the ability to work on complex issues requiring innovative solutions.
Effective communication and collaboration skills when partnering with stakeholders and team members to resolve ambiguity in data science projects.

Requirements:

3+ years of hands-on, professional experience in data science, machine learning, or a related field, with a proven track record of delivering impactful data science projects.
Strong SQL and Python skills.
This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility.

Why you’ll love working here:

We work in a blended environment that supports collaboration, flexibility, and connection across teams.
We are mission-driven, shaping the future of tech upskillling and delivering impact that matters.
We foster a culture of inclusion and belonging, where everyone can contribute and thrive.
We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose.
Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more.

About us:

Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today’s tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. We offer highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster.

Physical Requirements:

This role is primarily performed in an office or home office setting and involves standard computer-based work.

EEOC & Accommodations Statement:

Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws.

If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report.

Pay Transparency:

The annual US base salary range for this role is $121,600 - $160,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply.

Applications must be submitted within 90 days after the initial posting date to be considered.

Recruiting Scam Notice:

Please be aware of recruiting scams. We’ll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page.

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