Role Description Careem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organisation that inspires. We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. About The Team: - The Personalization team sits within Careem's Data Science organization and owns the AI systems that decide what every user sees, in what order, and why across Food, Quik, and Shops. - Our mission is to build the hyper-personalization layer for the Careem app: real-time, cross-vertical recommendation and ranking systems. - As one of the senior technical leads on this team, you'll help define how Careem thinks about personalization at a regional scale. What You'll Do: - Drive real-time, cross-vertical personalization. - Advance graph-based retrieval. - Build next-generation ranking models. - Pioneer real-time learning. - Build for cross-learning. - Be part of a 0-to-1 AI transformation for the Careem app. - Drive exploratory analysis to understand user behavior across verticals. - Shape and influence the ML models and instrumentation that optimize the product experience. - Provide product leadership through data-driven recommendations. - Implement scalable machine learning algorithms. - Run exploratory data analysis to better understand user and business phenomena. - Answer complex analytical questions from large datasets. - Define and track key metrics for specific personalization initiatives. - Design and run randomized controlled experiments (A/B tests). - Continually challenge the status quo investigating new data processing technologies. - Build and deploy retrieval-augmented generation (RAG) systems. Qualifications - 6-8 years of experience in data mining, predictive modeling, time series analysis, machine learning, and Big Data methodologies. - Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering, or Computer Science. - Solid experience with deep learning techniques including attention mechanisms, retrieval models, and transformer-based architectures. - 2-4 years of industry experience in personalization, recommendation, or search. - Strong problem-solving and coding skills. - Solid knowledge of A/B testing methodology, classical ML, and deep learning. - Solid understanding of recommendations, ranking, and retrieval systems end-to-end. - Proficiency and demonstrated experience in Python, SQL, Spark, and Hive. - Demonstrated experience with database technologies. - Demonstrated experience with business intelligence and visualization tools. Benefits - Opportunity to drive impact in the region while learning and growing. - Work and learn from great minds by joining a community of inspiring colleagues. - Put your passion to work in a purposeful organization. - Explore new opportunities to learn and grow every day. - Work remotely from any country in the world for 30 days a year with unlimited vacation days. - Access to healthcare benefits and fitness reimbursements for health activities.

Title: Data Scientist Location: Melbourne, VIC, Australia Brisbane, QLD, Australia Sydney, NSW, Australia Job Description: - Work on advanced AI and machine learning solutions - Flexible hybrid working and strong wellbeing support - Contribute to enterprise-wide data transformation Build impactful AI solutions that transform how data delivers value, while growing your career within a collaborative and forward-thinking environment. About the Role Join Suncorp's AI and Data Science Centre of Excellence, where you will contribute to turning data into meaningful business outcomes. You will design and deliver advanced analytics solutions that support strategic initiatives and improve customer and business performance. This role sits within the Technology and Operations function and partners closely with stakeholders across the organisation. What You'll Do - Engage with business stakeholders to understand challenges and deliver data science solutions that create measurable value - Design and deliver advanced models and algorithms within an agile framework to ensure continuous improvement and impact - Contribute to the development of AI and data science initiatives that integrate into core business systems - Apply strong technical expertise to solve complex problems using machine learning and analytical techniques - Collaborate with cross-functional teams and contribute to best practice across the data science community What You'll Bring - Experience applying advanced data science techniques such as machine learning and predictive modelling to deliver business outcomes - Knowledge of generative AI concepts, including prompt engineering and modern AI tooling - Strong capability in building and deploying analytical solutions, including working with data pipelines and cloud-based platforms - Ability to translate complex technical concepts into clear insights for stakeholders across the business - Relevant degree or equivalent experience in data science, statistics, mathematics, or computer science What You'll Enjoy - Hybrid working, flexible leave, 20 weeks paid parental leave, and up to 5 days paid flexible leave annually - Paid study support, career breaks, on-the-job learning, and a $1,000 referral bonus for eligible employees - Free wellbeing coaching, a dedicated Employee Council, and confidential EAP access - Discounts at 400+ retailers, insurance savings, gym memberships, and reduced super fees - Paid volunteer leave, donation matching, and unlimited emergency response leave - Performance-based bonuses and Suncorp shares for eligible employees - Diversity is celebrated through employee resource groups and inclusive policies for all families

Title: Senior DS/ML Scientist - Search Science Location: United States Job Description: Impact As a Senior Data Scientist on the Search Science team at Shipt, you will responsible for the algorithms that determine what customers see every day. You will be working to re-architecting Shipt''s search stack to be LLM-native and value-aware. In this role you will build a state-of-the-art retrieval and ranking system from the ground up. You will partner with Senior Scientists and ML Engineers to push the boundaries of what a search engine can do. Search is the front door of Shipt-improvements you make here are immediately visible to leadership and impactful to the bottom line. How you can make an impact: Unified Ranking: Help design and implement multi-task learning (MTL) and multi-objective models that don''t just optimize for clicks, but solve for complex trade-offs between organic relevance, ad revenue, and operational efficiency. In Depth Search Analysis: Identify opportunities, explore datasets, and report out findings to senior level leaders in the company which will influence our Search roadmaps. Deep Personalization: Move beyond generic relevance by integrating rich user signals through things like purchase history, dietary constraints, and real-time intent. Intentionally optimize our search system to predict not just what is relevant, but what is relevant for each customer. LLM-Native Search: Move beyond keyword matching by integrating Large Language Models into the core search loop. Work on projects such as generative retrieval, query expansion, and semantic understanding to handle complex, intent-driven user queries. Hybrid Retrieval Systems: Develop and tune sparse (lexical) and dense (vector) retrieval layers to maximize recall across our massive catalog, ensuring we surface the right products even for long-tail queries. Explore generative retrieval methodologies and their utilization. What You'll Need to Be Successful - Bachelor's degree in a STEM field (Computer Science, Statistics, etc.) with a focus on machine learning - 3-5 years of experience applying Machine Learning to real-world problems - Strong coding fluency in Python and SQL - Deep familiarity with Deep Learning frameworks (PyTorch or TensorFlow) and their application to information retrieval, ranking and/or NLP - A solid grasp of Learning-to-Rank (LTR) concepts including rich feature engineering - Previous experience with Search or Recommender Systems in e-commerce settings - Experience with Multi-Objective Optimization: Understanding of the challenges of optimizing for multiple conflicting metrics (e.g., Relevance vs. Revenue) Pay Range: $115,000 - $170,000 Please note that the salary range above is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. Skills & Education This list includes key skills used in this job but is not inclusive of all skills needed for the role. Please see any required education below. Data Science, Machine Learning (ML), Search EnginesBachelor''s Degree or equivalent experience | Required Work Arrangement To foster connection while offering continued flexibility, hybrid team members have the following in-office expectations: Hybrid roles in Birmingham, AL typically work in-office at least 2 days per week, with core in-office days on Wednesdays and Thursdays. Hybrid roles in Minneapolis, MN typically work in-office at least 1 day per week on either Tuesday, Wednesday, or Thursday. Hybrid roles in San Francisco, CA typically work in-office at least 1 day per week between Monday and Thursday. Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role. About Shipt Shipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch. Shipt connects customers to the things they want from the stores they love, retail businesses to more satisfied customers, and workers to new earning opportunities. At Shipt, we aim to put our team first to boost a sense of belonging, spark opportunities for growth, provide unique benefits and commit to giving back to our communities in ways that make life better, both personally and professionally. We understand that our service, our culture, and our connection to our communities are only made better by every single person who shows up to work here every day. Learn More. Shipt is an independently operated, wholly owned subsidiary of Target Corporation and available in more than 5,000 U.S. cities. Shipt was founded and is headquartered in Birmingham, Alabama. For more information, please visit Shipt's company site at Shipt.com. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or any other characteristic protected by law. Please inform your recruiting contact upon initial connection if you need a reasonable accommodation. If you need assistance filling out a job application, please complete this form. For technical interviews, Shipt uses an online coding platform. In the event you may need a reasonable accommodation to use the online coding platform, please connect with your recruiter. Employees (and eligible family members) are covered by medical, dental, vision and more. Employees may enroll in our company's 401k plan. Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave. Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.

Title: Data Scientist 3 Location Remote US Salary $130,000 to $150,000 Per Year Experience Mid Level, Senior Level Employment Status Full-Time Job Description: Job Summary Webstaurant Store, the world’s largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for supplying statistical rigor to the organization’s analytics projects, aimed at discovering actionable insights and opportunities for growth and optimization. This role can be remote in some US states (See below for remote work requirements) or based in one of our offices (Lititz, PA or Tampa, FL). Job Location Remote: Legal residents of one of the following states: AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY We only accept W-2 candidates, H-1B sponsorship is not available. Responsibilities Responsibilities include, but are not limited to: - Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization. - Collaborating with our analytics engineers to gather the right information from various sources so that you can implement advanced statistical methodologies and design interventions to optimize our business performance. - Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive). - Partnering with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions. - Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy. - Work with other data scientists to design and implement experiments and glean actionable insights from experimental analyses. - Defend and explain the validity of predictive/ML models to those without a background in data science or statistics. - Actively research new tools and technologies, staying on top of analytics news and best practices. Physical Requirements - Work is performed while sitting/standing and interfacing with a personal computer. - Requires the ability to communicate effectively using speech, vision, and hearing. - Requires the regular use of hands for simple grasping and fine manipulations. - Requires occasional bending, squatting, crawling, climbing, and reaching. - Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs. Qualifications Experience - Minimum 2 years of work experience in Data Science, or a PhD in math, statistics, economics, or a modeling-related field. - Advanced Python and SQL skills. - You have a proven ability with statistical methods and advanced modelling techniques; extra points if you have experience with one or more of the following: ecommerce search, recommendation engines, dynamic pricing, or user matching/data cleanrooms. Education This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else. Desired Traits & Skills The ideal candidate will possess the following qualities: - You Communicate Effectively: Ability to explain ideas simply and confidently to team members both written and verbally. - You have an Entrepreneurial Spirit: Takes it upon themselves to find ways to add value to the team and business. They are self-motivated and creative in their quest to find actionable insights and new solutions. They can often be found saying “What if we tried this?” or “Maybe this is a better way to do it?” They have a knack for overcoming obstacles. - You Desire to Grow: Constantly seek to improve themselves and expand their professional knowledge and skill set. - You’re an inquisitive, out-of-the box thinker who’s continually on the lookout for opportunities to improve and innovate data science solutions. - You have consistently high standards; your passion for quality is inherent in everything that you do. - Familiarity with a variety of supervised/unsupervised/reinforcement learning methods. - Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects. - You have proven ability as a full stack data scientist who develops, experiments, optimizes, and scales models for the production environment. - You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose.