Scope:
As a Data Science Consultant, you will be a will be responsible for advising the customer and recommending software configuration alternatives to optimize the solution so that the customer may realize the maximum value from the software. You will be part of a larger global team spanning across India and EMEA. Strong communication and leadership abilities are essential, as you will mentor junior team members.
What you’ll do:
- Extend and optimize classifiers using advanced machine learning techniques.
- Conduct data mining using cutting-edge methods and tools.
- Work as part of a regional and global support team, supporting customer running Pricing solutions and in the future our Cognitive solutions.
- 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 and customers.
- Address customer concerns regarding forecasting issues and data quality, and write codes to perform forecasting checks.
- Adhere to ITIL standards for support case management when working with our customers, adhere and achieved specified SLAs and Case Quality
- Building custom scripts and logic using advance ML and AI techniques to solve business problems
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.
- Bachelor’s or Master’s degree in Computer Science with a focus on Data Science with 5- 8 Years of 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.
Skills Required
- Solid understanding of machine learning algorithms (e.g., Linear Regression, K-Means, Naive Bayes)
- Proficiency in Python and data science libraries (NumPy, Pandas, Matplotlib, Seaborn); expertise in at least two
- Proficiency in SQL and Snowflake (or Python-based SQL wrappers)
- Experience in supply chain concepts and statistical analysis
- Knowledge of operations research concepts (integer, linear, stochastic programming)
- Solid grounding in applied statistics (distributions, hypothesis testing, regression analysis)
- Experience performing forecasting checks and addressing forecasting/data quality issues in code
- Familiarity with data visualization tools such as Streamlit and Power BI
- Adherence to ITIL standards for support case management and meeting SLAs
- Strong scripting and programming capabilities
- Experience mentoring/leading junior team members and working in regional/global teams
- Bachelor's or Master's degree in Computer Science with a focus on Data Science
- 5-8 years of relevant experience
- Familiarity with Dask/parallel processing
- Experience with Airflow or other orchestration tools
- Experience with Postman and API integration
Blue Yonder Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blue Yonder and has not been reviewed or approved by Blue Yonder.
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Leave & Time Off Breadth — PTO is described as generous or “unlimited” in the U.S., alongside paid holidays, sick time, and two paid volunteer days. These policies are often highlighted as strengths that support work–life balance.
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Flexible Benefits — Remote-work options and flexible arrangements are emphasized as part of the package. This flexibility is valued alongside compensation and can help offset middling pay for some roles.
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Healthcare Strength — Medical, dental, and vision coverage are provided, with mental health/EAP support and HSA/FSA options referenced. These core coverages are portrayed as solid and comprehensive.
Blue Yonder Insights
What We Do
Blue Yonder is the world leader in digital supply chain and omni-channel commerce fulfillment. Our intelligent, end-to-end platform enables retailers, manufacturers and logistics providers to seamlessly predict, pivot and fulfill customer demand. With Blue Yonder, you can make more automated, profitable business decisions that deliver greater growth and re-imagined customer experiences. Blue Yonder - Fulfill your Potential Blue Yonder’s tagline “Fulfill Your Potential” reflects the company’s mission to empower every organization and person on the planet to fulfill their potential. Each day, our global teams of associates and business partners work together to accelerate global economic growth, increase sustainability and prosperity with a Sonoran Spirit.
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