Building custom utilities using advance ML and AI techniques to solve business problems
What We are Looking for
Solid understanding of machine learning algorithms (e.g., Linear Regression, K-Means Clustering, Naive Bayes).
Proficiency in data science toolkits such as Python, NumPy, Pandas, Matplotlib, Seaborn (expertise in at least two is required).
Experience in LLM, NLP techniques and Neural network.
Experience in supply chain concepts and statistical analysis.
Knowledge of operations research concepts, including integer, linear, and stochastic programming.
Strong critical and operational thinking skills.
Familiarity with data visualization tools such as Streamlit and Power BI.
Proficiency in query languages such as SQL and Snowflake, or Python-based SQL wrappers.
Solid grounding in applied statistics, including distributions, hypothesis testing, and regression analysis.
Bonus skills: familiarity with Dask/parallel processing, Airflow orchestration tools, Postman/API integration.
Strong scripting and programming capabilities.
Data-driven mindset with an eye for detail.
Educational Background
Bachelor’s or Master’s degree in Computer Science with a focus on Data Science.
Experience
1.5 to 3 years of relevant experience.
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.
