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Transcend the day-to-day work experience. Work inspired.

Data Scientist


Lowell - Massachusetts - USA



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Corporate overview

You’re empowered when you’re a Kronite

Want to be part of an elite group of highly skilled professionals? We think our employees are a special group of talented, energetic, and innovative people. And for that reason, we refer to ourselves as Kronites. Kronites care about more than just work. We recognize the need to maintain a healthy work-life balance — to live inspired. In fact, it’s expected! Whether you’re playing foosball in one of our game rooms, working up a healthy sweat in group fitness classes, or videoconferencing with Kronites thousands of miles away, you’ll soon learn that we take work and fun seriously. No matter what position you hold at Kronos, you’re a Kronite. And we want you to feel like you have the power to make a difference in your life and the lives of others, at work and beyond.

Kronos is the global leader in workforce management solutions that enable organizations to control labor costs, minimize compliance risk, and improve workforce productivity. Tens of thousands of organizations in 100 countries – including more than half the Fortune 1000® - use Kronos time and attendance, scheduling, absence management, HR and payroll, hiring, and labor analytics applications.  Kronos customers include enterprises large and small across diverse industries worldwide including retail, hospitality, healthcare, manufacturing, public sector, services, and distribution.

Kronos is a privately held company and was founded in 1977. Headquartered in Chelmsford, Massachusetts, Kronos employs more than 5,000 people worldwide.

Kronos is an Equal Opportunity Employer.


• Work with domain experts, perform data studies and analysis with workforce management data to identify meaningful business opportunities.
• Apply machine learning and AI algorithms to analyze the data and generate models that can be applied to the workforce management domain.
• Rapidly prototype data science and AI solutions for integration with workforce management products and services.
• Implement Data Science methodologies at scale over large datasets.
• Interface with product team to develop requirements and analyze the tests/data resulting from machine learning activities.
• Identify and analyze additional data sources to augment the production opportunities.
• Communicate insights and findings to internal and external stakeholders
• Enjoy working and learning in a fast paced and rapidly evolving environment


Required Qualifications:

• MS or Ph.D. (Ph.D. preferred) in Computer Science/Machine Learning, Statistics, Data Science or a quantitative field
• 3+ years' experience as a data scientist, though exceptional junior candidates will also be considered.
• Substantial depth in at least 1-2 machine learning subfields, including but not limited to regression, classification, time-series analysis, clustering, etc.
• Hands-on experience applying machine learning or data science techniques to real-world data
• Practical ability to visualize data, communicate meaningful business insights, and utilize them effectively.
• Ability to rapidly develop prototypes in various programming languages, such as Scala, Python, Java, and R.
• Must be an effective communicator, making complex concepts accessible to all stakeholders.
• Must have a high level of initiative and sound independent judgment.

Preferred Qualifications:

• Hands-on experience applying Big Data / Map Reduce techniques, including Spark and Hadoop distributed-computing platforms, to real-world problems.
• Experience applying AI (including but not limited to Automated Planning, NLP, Multi-Agent Systems, etc.) or Operations Research techniques.
• Familiarity and comfort with SQL and relational databases.
• Knowledge of NoSQL database technologies.

EEO Statement

Kronos is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.