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.