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Sr. Data Science Consultant - Machine Learning/ Data Science

Blue Yonder
Bengaluru
Experience0-1 years
Salary Not disclosed
LocationBengaluru
Job TypeFull time
Skills: Data Science Python SQL Pandas NumPy Statistics Data Visualization Machine Learning Power BI
Job Description
Job Title: Sr. Data Science Consultant - Machine Learning/ Data Science Company: Blue Yonder Job Category: Data Science Roles & Responsibilities: 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. 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. Work Location: Bengaluru East, Karnataka, India Availability: Full time
Requirements
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. Educational Background * Bachelor’s or master’s degree in computer science with a focus on Data Science. Experience * 0-1 years of experience. Key Skills: Data Science, Python, SQL, Pandas, NumPy, Statistics, Data Visualization, Machine Learning, Power BI Salary: Not disclosed
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