Collaborate with implementation, product, support, and customer teams to deliver effective onboarding and ongoing support.
What we are looking for
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, Operations Research, or a related discipline, with a focus on data science or analytics.
5-7 years of relevant experience in data science, machine learning, advanced analytics, or a closely related field.
Solid understanding of machine-learning algorithms, including Linear Regression, K-Means Clustering, and Naive Bayes.
Proficiency in data-science toolkits such as Python, NumPy, Pandas, Matplotlib, and Seaborn, with strong hands-on expertise in at least two.
Experience with supply-chain concepts and statistical analysis.
Knowledge of operations research concepts, including integer, linear, and stochastic programming.
Solid grounding in applied statistics, including probability distributions, hypothesis testing, and regression analysis.
Proficiency in query technologies such as SQL and Snowflake, or Python-based SQL wrappers.
Familiarity with data-visualization and application tools such as Streamlit and Power BI.
Strong scripting and programming capability, with a data-driven mindset and close attention to detail.
Strong critical thinking, operational thinking, communication, leadership, and stakeholder-management skills.
Ability to work effectively in a global environment and mentor junior team members.
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
