Blue Yonder - Data Scientist - Machine Learning

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 companys 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.

Must Have :

- 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.

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 :

- 3 to 6 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.