Senior Data Scientist

Position Summary...

Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

What you'll do...

About Team: 
We are a Data Science & ML Engineering team under the Enterprise Business Services organisation focussing on Finance domain. Our team is building products for Finance business from scratch, dealing with challenges from gathering user data, developing machine learning models to understand business processes better and making them more holistically data driven and intelligent.

Automated Forecasting, Anomaly Detection, NLP, Gen AI, Optimisation are only some of the areas we are actively working on. We leverage machine learning, natural language processing (NLP), LLMs and big data technologies to get the scale and precision required for solving these problems. We are also working on some cutting edge deep learning and Gen AI solutions to solve some of the business critical problems.

What you'll do:

As a Data Scientist for Walmart , 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
• Productionize the models and make those available at scale
• Build and maintain end to end Machine Learning pipelines
• Communicate recommendations to business partners and influencing future plans based on insights

What you'll bring:

• Bachelors with > 7 years of experience / Master’s degree with > 4 years of experience. Educational qualifications should be preferably in Computer Science/Mathematics/Statistics or a related area. Experience should be relevant to the role.
• Experience as technical lead designing and building data science and solutions.
• High proficiency in data mining, modeling, validation and insight generation. Excellent working knowledge of statistics, mathematics, machine learning, data mining, deep learning

• High proficiency in coding including Python with excellent knowledge of Data Structures

• Experience in Analyzing the Complex Problems and translate it into data science algorithms
• Experience in machine learning, supervised and unsupervised and deep learning. Hands on experience in NLP.
• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data                                                                                                                             
• Strong Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, HQL, Scala, Spark)   
• Hands on experience with Git
• Experience with SQL and relational databases, data warehouse
• Good to have:
  • Experience in Finance domain.
  • Experience in Gen AI
  • Demonstrated success in data science platforms like Kaggle.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. 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 with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, 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.
 

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- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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...

Pardhanani Wilshire II, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India