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

Data Scientist


Lowell - Massachusetts - USA



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Kronos is seeking an experienced Data Scientist to work within our Advanced Research Group to both implement cutting-edge data science and AI solutions as well as "generate ideas", proposing new research efforts to gain new and unforeseen insights from workforce data! This position will sit in our Lowell, MA. headquarters.

• 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


• MS or PhD (PhD preferred) in Computer Science/Machine Learning, Statistics, Data Science or a quantitative field
• Substantial depth in at least 1-2 machine learning or AI subfields, including but not limited to regression, classification, deep learning, time-series analysis, clustering, automated planning, active learning, NLP, HCI, etc.
• Hands-on experience applying machine learning or AI 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.

We are open to hire at a more senior-level or more junior-level based on a candidate's experience.

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 beyond machine learning (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.
• 3+ years' experience as a data scientist or AI specialist, though exceptional junior candidates will also be considered.


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! 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. Want to learn more about our culture? Follow us on Twitter @work4kronos. #MyWorkInspired

Kronos is a global provider of workforce management and human capital management cloud solutions. Kronos’ industry-specific workforce applications are purpose built for businesses, healthcare providers, educational institutions and government agencies of all sizes. Tens of thousands of organizations – including half of the Fortune 1000® - and more than 40 million people in over 100 countries use Kronos every day. 

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.