🌎 Akvelon is a known USA company, with offices in places like Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to client’s needs and processes.
We are looking for an experienced Data Scientist with a strong background in R (sparklyr) and Python (Pandas, SciKit, Pytest) to join our team focused on cloud supply chain automation. You will work on projects that cover forecasting, planning, ordering, manufacturing, and deployment, helping to drive innovation, productivity, and efficiency across our global operations.
Responsibilities:
- Design, build, and deploy scalable data science models to optimize supply chain processes.
- Conduct time series analysis for forecasting and predictive modeling.
- Work with large datasets using Spark, Databricks, and R (sparklyr).
- Develop and maintain robust Python-based pipelines using Pandas, SciKit, and Pytest.
- Collaborate with business and engineering teams to translate requirements into analytical solutions.
- Contribute to infrastructure improvements for scalability, reliability, and security.
- SAW
Requirements:
- 4+ years of professional experience in Data Science or Applied Machine Learning.
- Strong proficiency in R (sparklyr) and Python (Pandas, SciKit, Pytest).
- Experience with Spark and Databricks environments.
- Proven track record in TimeSeries Analysis and forecasting models.
- Solid understanding of data architecture and model deployment in production environments.
- Excellent analytical, communication, and problem-solving skills.
Overlap time requirements: PST morning
Working conditions and benefits:
- Paid vacation, sick leave (without a sickness list)
- Official state holidays – 11 days considered public holidays
- Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
- Flexible working schedule: 8 hours per day, 40 hours per week
- Personal Career Development Plan (CDP)
- Employee support program (Discount, Care, Health, Legal compensation)
- Paid external training, conferences, and professional certification that meet the company’s business goals
- Internal workshops & seminars
- Corporate library (Paper/E-books) and internal English classes.
Step into your future – apply now 🚀
