Blue Yonder
Website:
blueyonder.com
Job details:
Overview
- Join Blue Yonder, one of the world's leading AI-driven supply chain solutions companies, recognized by Glassdoor as one of the "Best Places to Work."
- We are looking for a skilled Data Science professional with a strong foundation in statistical, analytical, and problem-solving techniques, along with the ability to translate complex data into meaningful business insights.
- Be part of a dynamic team that works closely with customers and cross-functional stakeholders to drive product adoption, enhance forecasting and planning outcomes, and address complex business challenges through data-driven solutions.
- Experience in implementing industry best practices, process improvements, and automation is an added advantage.
Scope
- As a Data Science Consultant, you will be a key contributor to Blue Yonder's Applied Data Science (ADS) team, helping customers maximize the value of Blue Yonder's cognitive supply chain solutions through data-driven insights, analytical expertise, and continuous improvement.
- You will work closely with customers and internal stakeholders to drive product adoption, support post-go-live challenges, identify underlying business and data quality issues, and deliver actionable recommendations that improve forecasting, planning, pricing, and replenishment outcomes.
- You will leverage statistical and analytical methodologies, develop and utilize data-driven solutions and automation, and collaborate with customers to improve operational efficiency and decision-making.
- Our team comprises approximately 50 associates in India and is part of a larger global organization spanning the US and Germany, with exciting opportunities for growth and collaboration.
- Strong communication, stakeholder management, and leadership abilities are essential, along with the ability to collaborate across teams, share knowledge, and mentor junior team members.
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 build utilities to perform forecasting checks.
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 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
- 7 to 10 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.
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