Duties: The Senior Data Scientist is responsible for end-to-end data science solutions for our data products; Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning; Works closely with data engineers, analysts, ML Engineers and application developers to help build ML and statistics driven models; Have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people; Good at analyzing existing code, finding bugs in the existing solutions and recommending how to improve or enhance the baseline
Requirements: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in analytics related field; You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes; You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop; Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU; Have applied industry experiece in NLP/NLU, Forcasting and Anomaly detection solution development

Duties: Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, relevance and ranking, and performance optimization; Build, deploy and monitor machine learning and statistical models to predict or estimate key signals that are used to optimize advertising product performance; Work on ML Automation platforms to support end to end machine learning life cycle using (Mlflow/KubeFlow/MetaFlow); Build, maintain and monitor scalable data pipelines working with distributed computing frameworks (e.g., Hadoop/Spark) and job schedulers (Airflow/Azkaban) to support modeling and optimization products
Requirements: Experience with backend software development, system architecture, and object-oriented design; Experience with one of the following high-level programming languages in production code quality: Python or Java; Experience with big data distributed computing frameworks including Hadoop, MapReduce, and PySpark; Experience with machine learning modeling and data analysis tools including Pandas, SQL, Numpy, Scikitlearn, TensorFlow, PyTorch; Experience developing and implementing machine learning models to solve real-world problems and fit algorithms to specific use cases

Duties: Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models; Create logical and physical data models using best practices to ensure high data quality and support application, batch, and interactive use cases; Create, optimize, and update logical and physical data models to support new and existing projects according to company standards; Create data modeling solutions optimized for relational, dimensional, and NoSQL databases; Maintain conceptual, logical, and physical data models along with corresponding metadata
Requirements: Good academic record and graduated (B.E/B.Tech/M.E/M.Tech/MBA) ; At least 10+years of hand-on data warehousing experience; Strong knowledge of different data modeling techniques for data warehousing -  3NF, Dimensional, hybrid etc; Experience working on large (100 TB+) scale data warehouses (DW)/operational data stores (ODS)

Duties: Developing, implementing, and regularly reviewing data strategies to ensure alignment with business objectives; Translating business requirements into strategic data solutions to drive innovation and growth; Leveraging data analysis to inform business strategy, decision-making, and process design; Driving innovation through data analysis by identifying and capitalizing on opportunities; Collaborating with various teams to incorporate their needs into data strategies and solutions
Requirements: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics; Demonstrating strategic mindset and expertise in consulting business data processes, with a proven ability in planning and executing data process strategies; Comprehensive understanding of data analysis, reporting, proficient in SQL, data query languages, and visualization tools such as Tableau and Power BI

Duties: Ideate with stakeholders to identify ML/Deep Learning opportunities for solutions; Formulate problems and translate into Data Science project requirements; Build solutions that can be easily integrated into external frameworks or existing applications; Select appropriate ML modeling techniques for complex problems with large-scale data
Requirements: Expertise in Statistics, Machine Learning, Deep Learning, NLP, and Computer Vision (optional); Proven industry experience in solving Retail and Customer science problems; Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies; Experience leading and mentoring data science teams, Effective technical communication to non-technical stakeholders

Duties: Design & develop highly scalable services and solve complex software systems problems by leveraging state-of-the-art technology; Gain exposure to various emerging technologies used in Marketing and Advertising on Walmart E-commerce platforms; Provide technical direction, architecture leadership and expertise to the team; Lead by example. Show your chops as an exceptional and experienced developer
Requirements: Bachelor's Degree or master’s degree in Computer Science, AI/ML (or related field) and 10+ years of experience; Proven experience in leading or managing machine learning/AI teams, with a track record of successful project delivery; Work closely with data scientists, engineers, researchers, and product managers to implement AI/ML solutions into Display Ad Serving platform

Duties: Manage and execute entire projects from start to finish, including cross-functional project management, data collection and manipulation, analysis and modeling, and the communication of insights and recommendations; Build scalable and complex supply chain models and processes to optimize supply chain strategies with the goal of delivering an excellent customer experience while balancing operating cost and asset efficiency
Requirements: MBA, MS, or PhD in Operations Research, Industrial Engineering, Operations Management, or Supply Chain Management; Experience with large dataset mining tools and open-source programming tools (e.g., R, Python, HiveQL, Spark); Experience with network modeling tools (e.g., Llamasoft Supply Chain Guru), network optimization, and long-range planning

Duties: Involved in extensive research and problem solving that spans a number of areas including computer vision, machine learning, image processing and distributed computing; Research and development of computer vision and machine learning algorithms for object detection, recognition, segmentation, and tracking; Design, implement and deliver computer vision software systems to facilitate retail business; Build scalable solutions to some of the challenging recognition problems in computer vision and continuously improve performance of existing algorithms; Drive the design and development of computer vision algorithm and software applications implemented on cloud or edge infrastructures
Requirements: Master degree with 3-year industrial experience or PhD degree with 1-year industrial experience; 5 years’ experience in building Computer vision/Machine Learning based models in a professional environment Proficiency in computer vision and deep learning algorithms such as object detection, image classification, image segmentation, and video analysis; Strong understanding of probability and statistical models (generative and descriptive models); Ability to run experiments scientifically and analyze results