Data Science Consultant-2
Bangalore
Blue Yonder
Transforming supply chains through an end-to-end platform for planning, execution, commerce and returns.Position Title: Data Science Consultant-2 (Operate/Data Science as Service)
Comparable Titles:
- Data Scientist-2
- Data Science Engineer-2
Company Overview:
Join 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 individual with a strong foundation in statistical and analytical methods, who can also collaborate effectively with teams during deployment and operational phases. Expertise in implementing industry best practices is a plus.
Position Scope:
As a Data Science Consultant, you will be a key player in onboarding clients onto Blue Yonder’s Luminate Planning suite of solutions and providing ongoing support through our Data Science as a Service (DSaaS) offering. Our team currently consists of approximately 50 associates in India, part of a larger global team spanning the US and Germany, and is poised for rapid growth. Strong communication and leadership abilities are essential, as you will mentor junior team members.
Key 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 build utilities to perform forecasting checks.
Qualifications and Experience:
- 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:
- 3 to 6 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
Diversity, Inclusion, Value & Equity (DIVE) is our strategy for fostering an inclusive environment we can be proud of. Check out Blue Yonder's inaugural Diversity Report which outlines our commitment to change, and our video celebrating the differences in all of us in the words of some of our associates from around the world.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Clustering Computer Science Data Mining Data quality Data visualization Machine Learning Matplotlib NumPy Pandas Power BI Python Research Seaborn Snowflake SQL Statistics Streamlit Testing
Perks/benefits: Career development Salary bonus
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.