Data Scientist

Overview Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor s Best Places to Work Blue Yonder is the world leader in digital supply chain transformations and omni-channel commerce fulfillment Our end-to-end cognitive business platform enables retailers manufacturers and logistics providers to best fulfill customer demand from planning through delivery With Blue Yonder you ll unify your data supply chain and retail commerce operations to unlock new business opportunities and drive automation control and orchestration to enable more profitable sustainable business decisions Blue Yonder - Fulfill your Potential TM Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development deployment cycle and deep knowledge of industry best practices with the ability to implement them working with both the platform and the product teams What you ll do Select build and optimize classifiers using advanced machine learning techniques Conduct data mining using cutting-edge methods and tools Integrate third-party data sources to enhance the company s datasets when necessary Refine data collection procedures to ensure relevant data is available for analytic systems Process cleanse and verify the integrity of data used for analysis Perform ad-hoc analysis and present results clearly to stakeholders Address customer concerns regarding forecasting issues and data quality and write codes to perform forecasting checks Building custom scripts and logic using advance ML and AI techniques to solve business problems What we are looking for Must Have 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 Preferred Familiarity with Dask parallel processing Airflow orchestration tools Postman API integration Strong scripting and programming capabilities Data-driven mindset with an eye for detail Soft Skills Must have excellent communication and interpersonal skills to interact with a wide variety of internal personnel with emphasis on follow-through and reporting Ability to work calmly under pressure and meet deadlines Proven background to have managed multiple stakeholders in a global environment Must have strong multi-tasking skills Must be self-motivated and quick learner - New technologies platforms integrations Able to work flexible hours including evenings weekends as warranted by the situation in critical times or to manage customer escalations Demonstrates initiative and is inquisitive Succeeds in a fast-paced environment Demonstrates the ability to work independently without losing team synergy Demonstrates customer service ethics and core values Experience 5 to 8 years of relevant experience Our current technical environments Technical Stack products OS - Unix-RHEL Windows 2008R2 and above Supply chain products SCPO Demand FF ESP Promotions IO S OP RDBMS - Oracle 11g and above and SQL PLSQL 2012 and above Snowflake BA tools - Cognos Interface SFTP AS2 DMS Blue Yonder connect Scripting - Perl Shell Python is desirable Scheduling tools knowledge - Control-M is preferred 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 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