Data Science Consultant

Blue Yonder Pvt Ltd; Bengaluru; In loco; INR 900.000 - 1.800.000; Tempo pieno

Descrizione del lavoro

Blue Yonder Pvt Ltd in Bengaluru is hiring a Data Science Consultant II (Predictive Modeling, ML) to onboard clients onto the Luminate Planning suite and support via ADS. The role partners with a growing India team and mentors junior members while delivering ML models and analytics across supply chain use cases.

You will build classifiers, perform data mining, integrate external data, and ensure data quality for forecasting and analytics, communicating results clearly to stakeholders.

Competenze

• 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 ML algorithms and data science toolkits.

Mansioni

• 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 datasets when necessary.
• Refine data collection procedures to ensure relevant data is available for analytic systems.
• Process, cleanse, and verify data integrity for analysis.
• Perform ad-hoc analysis and present results to stakeholders.
• Address forecasting issues and data quality concerns, building utilities for forecasting checks.

Conoscenze

Python

NumPy

Pandas

Matplotlib

Seaborn

Formazione

Bachelor’s or Master’s in Computer Science/Data Science

Strumenti

SQL

Snowflake

Streamlit

Power BI

Descrizione del lavoro

Data Science Consultant II (Predictive Modeling, ML)

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:

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.

Experience Level Mid Level