Sr. Data Science Consultant 2 - Data Science, Machine Learning Algorithms, Python, SQL

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.