(Ind) Staff, Data Scientist

Position Summary...

Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events.

What you'll do...

About Team:

We are looking for an experienced Staff Data Scientist to join our one demand team and help develop a sophisticated forecasting algorithm. This model plays a vital role in efficiently distributing items across our network of warehouses and stores by considering various inputs such as forecasts, network costs, and structure. At Walmart Global Tech, we are leading the way in revolutionizing retail through advanced technology and data science. Our team of experts is committed to solving current supply chain challenges and conducting research and development to create models that address the future requirements of our complex omni-channel international business.
 

What you'll do:

• Model Development: Design, develop, and implement advanced algorithms for Demand forecasting

• Data Analysis: Analyze large datasets to extract actionable insights and refine model inputs, including forecasts and cost structures.

• Optimization and Machine Learning: Employ optimization and machine learning techniques in inventory placement to improve efficiency and reduce costs across the network.

• Collaboration and Stakeholder Management : Work closely with cross-functional teams, including data scientists, engineers, and supply chain specialists, merchandisers.

As a Staff Data Scientists for, you’ll have the opportunity to

• Apply and/or develop ML solutions to develop efficient and scalable models at Walmart scale.

• Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from terabytes of data.

• Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Walmart.

• Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems.

• Define and/or own the model goodness metrics and track the business impact over time.

• Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future.

• Develop PoC, present lucidly to the business and evolve the solutions.

• Take forward the solutions into Pipelines/APIs as needed by the business.

• Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions.

• Adopt Wal-Mart’s quality standards and develop and recommend process standards and best practices across the retail industry.

• Manage the continuous improvement of data science and machine learning by following industry best practices and staying up to date with and extending the state-of-the-art in Machine Learning research.

• Integrate data science solutions into current business processes.

• Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.

• Mentor peers and junior members and handle multiple projects at the same time.

• Peer review and publish work in top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT

• Participate and speak at various external forums such as research conferences and technical summits.

• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

What you will bring:

• Educational Background: Master's degree in Data Science, Operations Research, Industrial Engineering, Computer Science, or a related fields.

• PhD: Doctorate degree in Data Science, Operations Research, Industrial Engineering, Computer Science, or a related fields with 5+ years of experience post grad school

• Technical Skills: Outstanding skills in programming in Python, SQL/Spark; statistics, forecasting, data analytics, machine learning, and optimization tools.

• Worked with at least one mainstream machine learning framework such as caffe, convNet, Tensor Flow and Torch

• Experience with SQL, relational databases and data warehouse

• Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark / H20

• Domain Knowledge : Ecommerce, Supply chain

• Experience with multiple stakeholder management, data based story-telling, mentoring peers and juniors, multiple project handling at the same time.

About Global Tech.

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail

Flexible, hybrid work:

We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.

Benefits:

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.

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 responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India