[Hiring] Senior Data Scientist REMOTE USA

Position: Senior Data Scientist

Date Posted: 27 January 2026

Industry: HR Technology / Cloud Software / Data Science

Employment Type: Full Time

Experience: 5+ Years

Qualification: Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or other quantitative field (Master’s or PhD preferred)

Location: United States (Remote)

Company: Paylocity

Description:

Paylocity is a leading provider of cloud-based HR and payroll software solutions, offering a comprehensive platform for modern workforce management. Recognized as one of the fastest-growing HCM software providers globally, Paylocity delivers intuitive tools that help businesses automate HR and payroll processes, attract and retain talent, and foster strong workplace cultures.

Unlike traditional HR software, Paylocity goes beyond basic payroll and benefits administration, providing innovative solutions that meet the evolving expectations of today’s workforce. Employees are supported with extensive benefits, including medical, dental, vision, life, disability coverage, 401(k) matching, and additional perks for personal and professional development.

Join Paylocity’s Product & Technology team to help enhance communication, collaboration, and innovation across our platform. This fully remote position allows you to work from home or your location of record within the U.S., requiring availability five days per week during designated work hours. Work arrangements may evolve based on business needs and individual performance.

Position Overview:
As a Senior Data Scientist, you will work on AI and machine learning solutions that address client challenges across NLP, supervised learning, time series forecasting, and anomaly detection. You will uncover insights from large datasets to help customers make data-driven human capital decisions and contribute to prototype development and product enhancement.

Primary Responsibilities:

• Select features, build, and optimize machine learning models, including time series, regression, random forests, gradient boosting, and neural networks.
• Utilize big data technologies on AWS and Microsoft Azure with Databricks and Spark.
• Collaborate with Product Managers, Enterprise Architects, and Software Development teams to translate complex HR challenges into data science projects.
• Develop automated data and modeling pipelines and performance tracking tools.
• Partner with full stack engineers in an agile environment to implement machine learning features.
• Conduct ad-hoc analyses and present findings clearly to stakeholders.

Education and Experience:

• Bachelor’s degree with 5 years of data science experience, or advanced degree (Master’s/PhD) with relevant expertise.
• Experience creating production-grade machine learning models in Python.
• Familiarity with cloud infrastructures such as AWS, Azure, or GCP.
• Proven ability to leverage data science for business impact.
• Skilled at translating business problems into actionable data science projects and communicating insights to non-technical audiences.
• Collaborative, self-motivated, detail-oriented, and able to work independently.

Preferred Skills:

• Experience in HR, social science, or psychology.
• Hands-on experience with cloud development and infrastructure-as-code tools.
• Commitment to staying current with data science trends and new technologies.

Physical Requirements:

• Ability to sit at a desk or workstation for 7–8 hours daily.
• Proficient use of computers and phone systems, managing multiple software programs simultaneously.

Paylocity is an equal-opportunity employer, embracing diversity across all aspects, including age, culture, ethnicity, gender, disability, veteran status, and more. Reasonable accommodations are available for applicants and employees with disabilities.

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