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Blue Yonder

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4.0

based on 496 Reviews

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3 Blue Yonder Data Science Consultant Jobs

Data Science Consultant-2

3-6 years

Bangalore / Bengaluru

1 vacancy

Data Science Consultant-2

Blue Yonder

posted 1mon ago

Job Description

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.


Employment Type: Full Time, Permanent

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People are getting interviews at Blue Yonder through

(based on 28 Blue Yonder interviews)
Job Portal
Campus Placement
Company Website
Referral
Recruitment Consultant
32%
25%
14%
7%
4%
18% candidates got the interview through other sources.
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What Data Science Consultant at Blue Yonder are saying

Data Science Consultant salary at Blue Yonder

reported by 13 employees with 1-8 years exp.
₹8.3 L/yr - ₹28.4 L/yr
11% less than the average Data Science Consultant Salary in India
View more details

What Blue Yonder employees are saying about work life

based on 496 employees
90%
92%
80%
81%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Blue Yonder Benefits

Work From Home
Health Insurance
Cafeteria
Team Outings
Gymnasium
Free Food +6 more
View more benefits

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Blue Yonder Bangalore / Bengaluru Office Location

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Bengaluru Office
JDA Software Pvt. Ltd., Tower A, Mantri Commercio, Near Sakra World Hospital, Outer Ring Road, Bellandur Bengaluru
Karnataka 560103

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