Data Scientist
at UKG
Lowell, Massachusetts, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 18 Jan, 2025 | USD 86100 Annual | 20 Oct, 2024 | 1 year(s) or above | Deep Learning,Classification,Pandas,Python,Machine Learning,Business Insights,Nlp,Sql,Time Series Analysis | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Job Description
Basic qualifications:
- Education and experience in a quantitative field. PhD, or master’s degree plus 2 years of experience.
- Experience in at least 1-2 machine learning or AI subfields, including but not limited to regression, classification, deep learning, time-series analysis, clustering, NLP, transfer learning, etc.
- Programming experience and the ability to rapidly develop prototypes of new solutions
- Experience with SQL or another database technology.
- Experience with Python or with another scripting language.
- Experience with programming packages like Pandas.
- Practical ability to visualize data, communicate meaningful business insights, and utilize them effectively
Preferred qualifications:
- Experience with ML Models deployed in SaaS applications
- Experience with big data tools and frameworks, such as Cloud ML or Big Query
- Willingness to learn new tools as they become needed
Responsibilities:
Data Scientist
Here at UKG, our purpose is people™. Our HR, payroll, and workforce management solutions help organizations unlock happier outcomes for all. And our U Krewers, who build those solutions and support our business, are talented, collaborative, and innovative problem-solvers. We strive to create a culture of belonging and an employee experience that empowers our people - both at work and at home. Our benefits show that we care about the whole you, from adoption and surrogacy assistance to tuition reimbursement and wellness programs. Our employee resource groups provide a welcoming place to land, learn, and connect with those who share your passions and interests. What are you waiting for? Learn more at www.ukg.com/careers #WeAreUKG
At UKG we are at the forefront of innovation leading the next wave of disruption in the Human Capital Management industry. With our unparalleled dataset, that gives the most complete view into our customers most valuable assets-their human assets, we are building groundbreaking artificial intelligence that is changing the way we work. Employing the latest advancements in data science and AI, you will impact millions of UKG customers by unlocking the opportunities to help employers create a more effective and efficient workforce, and employees work and live more satisfied, enriched, and rewarding lives.
We are looking for data scientists with a strong mathematical foundation, experience building AI-based solutions on real world data, and a pioneering mindset to join the team and help deliver new AI innovation into our platform.
Responsibilities
- Work with domain experts, perform data studies and analysis on billions of records from our one-of-a-kind dataset to identify meaningful business opportunities
- Apply statistics, machine learning, and a variety of other techniques to analyze the data, generate models, and prototype new AI solutions
- Build production ready prototypes and collaborate with others to bring concepts to life in the product.
- Communicate findings to stakeholders and a broader audience of technical and non-technical persons.
- Thrive in different working environments. Both in independent, self-driven, research and development, and in collaborative, team-driven, projects.
Basic qualifications:
- Education and experience in a quantitative field. PhD, or master’s degree plus 2 years of experience.
- Experience in at least 1-2 machine learning or AI subfields, including but not limited to regression, classification, deep learning, time-series analysis, clustering, NLP, transfer learning, etc.
- Programming experience and the ability to rapidly develop prototypes of new solutions
- Experience with SQL or another database technology.
- Experience with Python or with another scripting language.
- Experience with programming packages like Pandas.
- Practical ability to visualize data, communicate meaningful business insights, and utilize them effectively.
Preferred qualifications:
- Experience with ML Models deployed in SaaS applications
- Experience with big data tools and frameworks, such as Cloud ML or Big Query
- Willingness to learn new tools as they become needed.
Equal Opportunity Employer:
Ultimate Kronos Group is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
View The EEO Know Your Rights poster and its supplement.
View the Pay Transparency Nondiscrimination Provision
UKG participates in E-Verify.
Disability Accommodation:
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
The pay range for this position is $86,100 to $123,800 , however, base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a short-term incentive and a long-term incentive as part of total compensation. Information about UKG’s comprehensive benefits can be reviewed on our careers site at https://www.ukg.com/careers
REQUIREMENT SUMMARY
Min:1.0Max:2.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Lowell, MA, USA