Top Tech Jobs & Startup Jobs in Bengaluru, KA

Senior Data Scientist at Target responsible for developing and managing predictive algorithms using data at scale to automate decisions in supply chain optimization. Collaborate with teams to solve retail challenges and build data science models and tools. Analyze large datasets, develop optimization-based solutions, and deploy modules for simulation testing.

As a Senior Product Designer within our Guest UX Team at Target, you will be shaping Target’s evolving digital experience for guests and contributing to business growth. You will focus on building a best-in-class digital shopping experience on Target’s website, mobile web, and native apps.

Lead Engineer responsible for creating, owning, and driving architectural changes to support product development. Must have deep engineering skills and the ability to influence a wider team. Responsibilities include maintaining knowledge of current technologies, leading testing and debugging activities, and developing scalable patterns.

Lead Engineer collaborating with cross-functional teams to set the technology strategy for Ad Tech platforms, assessing build/buy decisions, leading engineering efforts, providing technical leadership, and contributing to the technical community.

Senior Engineer position at Target focusing on developing native iOS apps like Cartwheel and flagship app. Requires 5+ years of software design & development experience, 3+ years of iOS app development, expertise in Swift, knowledge of working with dynamic data, and strong communication and team skills.

Lead Data Scientist role at Target Data Sciences involving developing and managing predictive algorithms using data at scale, collaborating with various teams and business partners, owning algorithmic solutions, and mentoring junior team members.

Senior Data Scientist role at Target in the Supply Chain department, responsible for designing, developing, deploying, and maintaining data science models and tools. Collaborate with cross-functional teams to improve supply chain logistics and operational efficiencies through scalable data science products.