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Job Location: Bangalore/Bengaluru
As an Senior Data Scientist for Walmart Global Tech, you ll have the opportunity to – Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
– Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals
– Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
– Build and train statistical models and machine learning algorithms for replication for future projects
– Communicate recommendations to business partners and influencing future plans based on insights
Your Responsibility
Play a key role to solve complex problems, pivotal to Walmart s business and drive actionable insights from petabytes of data
Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping
Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems
Lead small teams and participate in data science project teams by serving as the technical lead for project
Partner with senior team members to assess customer needs and define business questions
Clearly articulate and present recommendations to business partners, and influence future plans based on insights
Partner and engage with associates in other regions for delivering best services to the customers around the globe
Work with customer centric mindset to deliver high quality business driven analytic solution
Mentor peers and analysts across the division in analytical best practices
Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving
Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
Our Ideal Candidate
You are a technically strong and high performing individual with excellent communication skills, proven analytical skill set and strong customer focus. You stay updated with latest research and technology ideas, and have a passion to utilize innovative ways to solve problems. You are a good story-teller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders. You have industry knowledge of the retail space, with keen interest in keeping up to date on the latest happenings in this space.
Your Qualifications
Bachelors with > 10 years of relevant experience OR Masters with > 7 years of relevant experience OR PHD in Comp Science/Statistics/Mathematics with > 4 years of relevant experience
Experience in Analyzing the Complex Problems and translate it into data science algorithms
Experience in machine learning, supervised and unsupervised: Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms
Experience in statistical learning: Predictive Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling
Experience with big data analytics – identifying trends, patterns, and outliers in large volumes of data
Lead role mentoring multiple Jr. Analysts on approach and results.
Strong Experience with one or more of Python and R
Strong Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, HQL, Scala)
Experience with Teradata, SQL and relational databases, data warehouse
Additional Preferred Qualifications:
Domain Knowledge of one or more divisions in Retail
Published papers or given talks in leading academic and research journals
Published papers or given talks in Data Science Forums
Hold data science related patents
Experience with data warehouse platforms – No SQL Databases (Cassandra)
Experience with GPU/CUDA for computational efficiency
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