Similar Jobs
.png){kind=logo}
Artificial Intelligence • Edtech • Mobile • Natural Language Processing • Productivity • Software
Lead global paid media strategy and execution across channels (Google, Meta, DV360, TikTok, ASA). Manage budget allocation, attribution, incrementality and MMM, agency relationships, affiliate programs, A/B testing, reporting, and mentor a remote team to optimize ROAS, LTV, and CAC.
Top Skills:
Ai MaxAsaDv360Ga4Google AdsGoogle SearchLookerMarketing Mix Modeling (Mmm)Meta AdsPmaxTiktok Ads ManagerUac
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead implementation and day-to-day operations of Ping Identity platforms (PingFederate, PingID, Ping Directory). Design and maintain SSO/MFA integrations (SAML, OAuth2, OIDC), troubleshoot authentication flows and JVM performance, manage certificates and HA/DR, support onboarding, implement advanced OAuth features, automate operational tasks, mentor junior staff, and partner with stakeholders on security requirements and incident resolution.
Top Skills:
Certificate Lifecycle ManagementHeap Dumps)Html Form AdaptersJvm (Thread DumpsJwtKerberosLdapOauth 2.0Openid Connect (Oidc)Ping DirectoryPing IdentityPingfederatePingid MfaSAMLTrust StoresWs-Fed
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Lead business analysis and support project/delivery management for loan products. Own end-to-end requirements, process mapping, solution design, and UAT. Collaborate with Technology, Operations, Risk, Legal, and Product to embed controls, regulatory and contractual requirements, and ensure scalable, controlled delivery across global teams.
Top Skills:
Advanced AnalyticsAgileAIAutomationConfluenceJIRA
Technical lead for advanced analytics within Customer Experience: design, build, and deploy ML solutions, lead complex modeling, mentor data scientists, set modeling best practices, partner with data engineers and business leaders, and translate analytic insights for senior stakeholders.
Honeywell Aerospace products and services are found on aircraft across commercial aviation, defense and space. We operate through three business areas:
- Electronic Solutions develops the avionics, navigation systems, sensors and electromagnetic defense technology on board 90% of the world's aircraft
- Engines & Power Systems provides the propulsion, auxiliary power and electrical systems that keep those aircraft flying
- Control Systems supplies the thermal and motion control systems that support takeoff, landing and the safety of everyone on board
With approximately 58,000 employees worldwide and net sales of $17.4B in 2025, we are also advancing systems for autonomous and supersonic platforms — bringing the same focus on safety and efficiency to the next era of flight. Explore our businesses: https://www.honeywellaerospace.com
ResponsibilitiesAdvanced Modeling & Analytics Leadership
- Design, build, and deploy advanced analytical and machine learning solutions for CX and product support use cases
- Lead complex modeling efforts (e.g., predictive risk, outcome forecasting, driver analysis, optimization)
- Evaluate emerging AI and ML techniques for practical application within a regulated enterprise environment
Technical Direction & Mentorship
- Provide technical mentorship and review for other data scientists
- Establish best practices for modeling, experimentation, documentation, and validation
- Influence analytic standards across CX-focused data science initiatives
Partnership & Translation
- Partner with Senior Business Data Analysts & Data Engineers to translate business problems into analytically robust approaches
- Communicate complex analytical results clearly to non-technical stakeholders
- Support executive and senior leader understanding of predictive and AI-driven insights
Data & Platform Collaboration
- Collaborate with Data Engineers to ensure data pipelines, feature stores, and ML workflows are fit for purpose
- Contribute to AI-enabled self-service analytics and React-based front-end experiences where appropriate
- Master’s degree or higher in Data Science, Applied Mathematics, Statistics, Engineering, or related field (or equivalent experience)
- 9+ years of hands-on experience in data science or advanced analytics roles
- Expert proficiency in Python and strong SQL capabilities
- Proven experience building and validating ML models in enterprise environments
- Experience working with Snowflake, EDW, and complex enterprise data sources
Preferred Qualifications
- Prior experience leading analytics efforts in CX, service operations, or B2B environments
- Exposure to AI prototyping, model deployment, or ML platform integration
- Experience operating under regulatory, security, or government data constraints
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
