Data Science Consultant II (Predictive Modeling, ML)

Reposted 2 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
eCommerce • Logistics
The Role
Onboard clients to Blue Yonder’s Luminate Planning suite and support Applied Data Science offerings. Build and optimize machine-learning classifiers, mine and cleanse data, integrate third-party sources, improve data collection, conduct statistical and ad hoc analyses, and present findings to stakeholders. Address forecasting and data-quality concerns, develop forecasting-check utilities, and mentor junior team members.
Summary Generated by Built In

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 Applied Data Science (ADS) 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.

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:

  • Bachelor’s or Master’s degree in Computer Science with a focus on Data Science.
  • 2 to 4 years of relevant 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.

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

  • Bachelor’s or Master’s degree in Computer Science with a focus on Data Science
  • 2 to 4 years of relevant experience
  • Understanding of machine learning algorithms, including linear regression, K-means clustering, and Naive Bayes
  • Expertise in at least two data science toolkits, including Python, NumPy, Pandas, Matplotlib, or Seaborn
  • Experience with supply chain concepts and statistical analysis
  • Knowledge of integer, linear, and stochastic programming
  • Strong critical and operational thinking skills
  • Familiarity with Streamlit and Power BI
  • Proficiency with SQL, Snowflake, or Python-based SQL wrappers
  • Applied statistics knowledge, including distributions, hypothesis testing, and regression analysis
  • Strong scripting and programming capabilities
  • Data-driven mindset and attention to detail
  • Familiarity with Dask or parallel processing
  • Familiarity with Airflow orchestration tools
  • Familiarity with Postman or 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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Scottsdale, AZ
5,001 Employees
Year Founded: 1985

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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