Sr Support Engineer - Data Scientist, Machine Learning, Python, NLP, SQL

Overview:

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
• 5 to 8 years of relevant experience
• 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.
• 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.

Experience:

• Our current technical environments/Technical Stack & products:

Responsibilities

• 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:
• 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.
• Familiarity with Dask/parallel processing, Airflow orchestration tools, Postman/API integration.
• Strong scripting and programming capabilities.
• Data-driven mindset with an eye for detail
• 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