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Walmart

Compare

3.9

based on 2.3k Reviews

304 Walmart Jobs

PRINCIPAL, DATA SCIENTIST

Walmart Labs

3.9

based on 2.3k Reviews

13-20 years

Bangalore / Bengaluru

1 vacancy

PRINCIPAL, DATA SCIENTIST

Walmart

posted 3mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Medical Coding Python Consulting SQL Machine Learning

+ 4 more

Job Description

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

Your Opportunity

We are looking for a versatile principal data scientist- who has a strong expertise in machine learning , deep learning with good software engineering skills and significant exposure to building ML solutions; including Gen AI solutions scratch up & leading data science engagement .

The opportunities that will come with this role are -

As a seasoned SME in MLE, you will get to work on & take a lead in scaling & deployment for the most challenging of our data science solutions ( including , but definitely not limited to Gen-AI solutions) across a broad spectrum of advertising domain.

Influence the best practices that we should follow as we scale & deploy our solutions across a diverse set of product .

Train and mentor our pool of data scientists in data sciences and MLE skills

Contribute to the Tech org via patents, publications & open source contributions.

What You Will Do

Design large-scale AI/ML products/systems impacting millions of customers

Develop highly scalable, timely , highly-performant, instrumented, and accurate data pipelines

Drive and ensure that MLOps practices are being followed in solutions

Enable data governance practices and processes by being a passionate adopter and ambassador.

Drive data pipeline efficiency, data quality, efficient feature engineering, maintenance of different DBs (like Vector DBs, Graph DBs, feature stores, caching mechanism)

Lead and inspire a team of scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art

Lead the team to develop production-level code for the implementation of AI/ML solutions using best practices to handle high-scale and low-latency requirements

Deploy batch and real-time ML solutions, model results consumption and integration pipelines.

Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions.

Drive proactive optimisation of code and deployments, improving efficiency, cost and resource optimisation.

Design model architecture, optimal Tech stack and model choices, integration with larger engineering ecosystem, drive best-practices of model integrations working closely with Software Engineering leaders

Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to deploy these & drive business actions.

Closely partners with the Senior Managers & Director of Data Science, Engineering and product counterparts to drive data science adoption in the domain

Collaborate with multiple stakeholders to drive innovation at scale

Build a strong external presence by publishing your teams work in top-tier AI/ML conferences and developing partnerships with academic institutions

Adhere to Walmarts policies, procedures, mission, values, standards of ethics and integrity

Adopt Walmarts quality standards, develop/recommend process standards and best practices across the retail industry.

Drive data pipeline efficiency, data quality, efficient feature engineering, maintenance of different DBs (like Vector DBs, Graph DBs, feature stores, caching mechanism).

Deploy batch and real-time ML solutions, model results consumption and integration pipelines.

Design model architecture, Optimal Tech stack and model choices, integration with larger engineering ecosystem, drive best-practices of model integrations working closely with Software Engineering leaders.

Drive proactive optimisation of code and deployments, improving efficiency, cost and resource optimisation.

What You Will Bring

Bachelor s with > 13 years or Masters with > 1 2 years OR Ph.D. with > 10 years of relevant experience. Educational qualifications should be in Engineering / Data sciences.

Strong experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems.

Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind.

Strong experience in real time ML solution deployment

Experience with deployment patterns for Distributed Systems.

Strong Python coding and package development skills.

Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce.

Ability to work in a big data ecosystem - expert in SQL/Hive/Spark.

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.

Minimum Qualifications

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years experience in an analytics related field.

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years experience in an analytics related field.

Option 3: 7 years experience in an analytics or related field.

Employment Type: Full Time, Permanent

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What people at Walmart are saying

3.0

Rating based on 10 Data Scientist reviews

Anonymous · Data Science & Machine Learning in Bengaluru

Likes

Although it varies from team to team, in general there is work life balance, and the work culture is good. The usual standard facilities like food at the office, and cab services are available. The additional benefits like mobile phone reimbursement, fitness reimbursement are okay as well. There is a general sense of belonging to the company due to the satisfactory culture.

Dislikes

Promotions after IN3/4 are usually slow. Compared to other Tier 1 tech companies, the compensation is generally a bit lesser. The primary goal isn't Engineering Excellence but tech is more of a retail-enabler.

Read 10 reviews