Verusen is a leading technology company that uses artificial intelligence to provide visibility, digitization and prediction of materials data and inventory for complex supply chains. The company’s AI software harmonizes disparate material data across ERP instances/systems while providing accurate MDM across the enterprise to optimize inventory costs. Intelligent controls enforce inventory procedures to help prevent future inventory spikes, while predictive capabilities optimize allocation and procurement needs. The result is a data foundation you can trust to move quickly to innovate and support related Industry 4.0 initiatives.
Verusen is venture-backed by leading investors from San Francisco to Boston, and is a Signature Company at Georgia Tech’s Advanced Technology Development Center (ATDC). Partnerships including SAP and Accenture. Verusen is a portfolio company of SAP.iO.
A top-notch Data Scientist would be involved in exploring, defining, selecting solutions and developing novel concepts for various business needs. If you join our team, you will have the opportunity to stay on the cutting edge of research and then to put this research to practical use by building your own software and infrastructure systems.
Responsibilities
- Solve problems - really good at breaking things down and crafting answers
- Partner closely with cross-functional teams to identify areas of opportunity and drive results
- Execute strategic initiatives from start to finish, including data collection, modeling, and the communication of insights and recommendations.
- Notebook zen master
Skills and Qualifications
- 3-5 years of experience developing and deploying end-to-end ML/AI systems.
- Practical experience of working with structured and unstructured data, data processing at scale, feature engineering, and model operationalization.
- Expertise with Tensorflow, PyTorch, Scikit-learn, Pandas, and Numpy
- Worked with large language models (LLM's), understands vectors, embedding, "x"-shots, etc.
- Proficient with Python, including the scientific Python stack, Machine Learning frameworks.
- Statistics: theoretical foundation in various common distributions, probability theory.
- Good knowledge of modern Machine Learning software, libraries.
- Data engineering: SQL using Postgress and Snowflake; Spark, Hadoop.
- Advanced Degree in Statistics, Analytics, Engineering, Computer Science or another relevant engineering field is a plus
Bonus points
Experience in fast paced, startup environments. Understands what it takes for a team to win in competitive environments and relishes the challenge.
Commitment to Diversity and Inclusion
At Verusen, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, national origin, age, physical and mental disability, sexual orientation, gender identity and/or expression, status as a veteran and any other characteristic protected by applicable law. We respect and seek to empower each individual and support a diverse culture, perspectives, skills, and experiences within our workforce. We believe that diversity and inclusion among our teammates are critical to our success, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.
