Data Scientist

Resilinc; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

A leading company in supply chain visibility is seeking a Data Scientist to develop AI-powered SaaS products. The role requires proficiency in Python and SQL, and experience in machine learning techniques. Join a passionate team dedicated to making a positive impact.

Benefits

Healthcare Coverage

Employee Stock Option Program

Retirement Benefits

Paid Time Off

Learning and Development Opportunities

Qualifications

• 1+ years of paid industry experience in SaaS product development.
• Understanding of various Machine Learning techniques.

Responsibilities

• Conduct literature reviews and adapt suitable methods for specific problems.
• Collaborate proactively with stakeholders across the company.
• Articulate and present analytical findings to cross-functional teams.

Skills

Python

SQL

Machine Learning

Data Structures

Analytical Thinking

Education

Bachelor’s degree in Operations Research

Bachelor’s degree in Supply Chain

Bachelor’s degree in Industrial Engineering

Bachelor’s degree in Computer Science

Bachelor’s degree in Statistics

Bachelor’s degree in Data Science

Tools

Apache Spark

Flask

Django

Streamlit

AWS

Azure

Neo4j

Job description

We began a movement when we started Resilinc in 2010 with our belief in the power of supply chain to be a force for good, to improve the lives of people and our communities. Our vision is for the world to have a place where suppliers and customers can collaborate securely with transparency and trust as the foundation. Today, Resilinc’s flagship supply chain visibility, mapping, and AI-powered monitoring and predictive analytics platform is widely considered the Gold Standard for resilience.

We wake up every day with the power of our important mission driving our actions. Join our passionate, highly motivated, and VIRTUAL global team that is energized and working hard to positively impact the world.

Role: Data Scientist

The Data Scientist at Resilinc is a pivotal role that will contribute to the development of our AI-powered SaaS products. The ideal candidate is adept at developing scalable, innovative algorithms using machine learning techniques and has a strong analytical mindset to tackle complex challenges. This role demands technical expertise and innovative thinking to leverage data effectively for strategic decision-making.

What You Will Do

1. Conduct literature reviews, select and adapt suitable methods/algorithms for specific problems, and innovate as necessary—encompassing research, design, development, and algorithm testing.
2. Contribute hands-on to developing AI-powered SaaS products.
3. Help drive projects through to completion thoroughly and efficiently, in a timely manner.
4. Collaborate proactively with stakeholders across the company.
5. Articulate and present analytical findings and progress to cross-functional teams within Resilinc.

What You Will Bring

1. Bachelor’s degree or higher in Operations Research, Supply Chain, Industrial Engineering, Computer Science, Statistics, Data Science, or a related discipline.
2. 1+ years of paid industry experience contributing to SaaS product development.
3. Proficiency in Python, SQL, and a solid grasp of object-oriented programming, data structures, and development methodologies.
4. Experience in developing complex algorithms.
5. Understanding of various Machine Learning techniques, including Linear & Non-linear models, Tree-based algorithms, Neural Networks, Classification, Clustering, Regression, Feature Engineering, PCA, SVD, k-NN, etc.

What Will Make You Stand Out

1. Background in the Supply Chain industry.
2. Familiarity with distributed data processing frameworks like Apache Spark.
3. Experience developing Generative AI models in secure, isolated environments.
4. Knowledge of graph theory, graph algorithms, Graph Neural Networks (GNNs), and experience with graph databases such as Neo4j.
5. Experience applying NLP techniques to challenges like data normalization and complex text-related problems.
6. Proven experience with Python-based web frameworks such as Flask, Django, Streamlit, or similar.
7. Experience with Linux environments, including shell scripting, process management, and optimizing system performance for large-scale data science workloads.
8. Experience managing the full lifecycle of machine learning models, including deployment and monitoring on cloud platforms like AWS and Azure.

If you are a person with a disability needing assistance with the application process, please contact [e-mail].

Benefits

We offer comprehensive benefits tailored to each country. Your talent acquisition contact can provide a FAQ list for your country. Everyone at Resilinc is eligible for healthcare coverage, participation in the employee stock option program, retirement benefits, paid time off, and learning and development opportunities.

Resilinc is well-funded (read more about our recent investment from Vista Equity Partners), profitable, and shows no signs of slowing down. We run lean, work fast, and pivot quickly to accommodate our customers and keep supply chains moving.

More Information

For more details, visit our website:

Resilinc End-to-End Supply Chain Risk Management Solutions - Resilinc