Staff, Data Scientist
Walmart Supercenter
Job Description
Job Description
Company Description
Fifty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world's biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we're reinventing the shopping experience and our associates are at the heart of it. You'll play a crucial role in shaping the future of retail, improving millions of lives around the world. This is that place where your passions meet purpose. Join our family and create a career you're proud of.
Walmart truly stands out as the best place to build a career from the ground up. No other company can rival our combination of making a massive impact and our culture of promoting from within, from entry-level roles all the way to executive positions. Thanks to our unique mix of career pathways, perks, and pay, you can craft just about any career you dream of here, no matter where you start or what you aspire to achieve.
Job DescriptionAre you ready to revolutionize the way Walmart moves goods? Do you have a passion for applying data and machine learning to lead groundbreaking outcomes in transportation forecasting? If so, we invite you to join our cutting-edge data science team and help shape the future of Walmart's supply chain and transportation business! As a member of our team, you'll have a unique opportunity to leverage your expertise in AI/ML, forecasting, and data science to push the boundaries of what's possible in Walmart Transportation.
As a Staff Data Scientist, your primary responsibilities will include leading, developing, enhancing, & maintaining transportation forecasts while driving accuracy & granularity improvements. You will partner cross-functionally with other data and business teams to provide integrated forecasting solutions. These Forecast will support Financial and Operational planning various aspects of the supply chain. You’ll communicate business-critical outcomes effectively with leaders and multiple business partners. This role is based in Bentonville, AR.You’ll make an impact by:
- Champion lead for the efforts on forecasting, developing time series forecasting models to provide visibility of future available workload that highlights risks easily.
- Partner closely with Finance, Operations, and other key stakeholders. Build productive and positive relationships across the organization at all levels to drive influence.
- Recruit, develop, mentor, and inspire a high-performance team. Provide mentorship, guidance, and career development to a team of data scientists.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart. Qualifications
You’ll sweep us off our feet if:
- You have 7-10 years of experience in Data Science, machine learning and optimization models
- Partner with Operations, Finance, Product and Business teams to identify, design, develop, and enhance Transportation forecasting solutions
- Proficiency in Machine Learning, Forecasting, and AI; Proficient in programming languages (Python or R), and experience working with popular data science packages such as scikit-learn, pandas, PyTorch, Keras, etc.
- Experience working with large scale forecasting projects using techniques such as time series modeling, ML based forecasting, Prophet, Deep AR, LSTMs, Tree based methodologies etc.,
- You’re a storyteller - a master at making complex subjects easily understood through compelling stories and visuals.
- Experience in end-to-end model development and deployment lifecycle i.e., from prototyping to model development, ML Ops and putting models into production.
- Have strong understanding of probability and statistical models.
- Demonstrated experience in data wrangling and manipulations using SQL and relational databases (for example Hive, Big Query).
- Demonstrated ability to thrive in a fast-paced environment while managing multiple projects and tight deadlines.
All your information will be kept confidential according to EEO guidelines.
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