Data Science Manager, Machine Learning Manager jobs in Bengaluru Urban District, Karnataka

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:

• 5 to 8 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.