Role Description - Analysis of project data (e.g. trial data) and data processing - Statistical programming, development of reusable programs (e.g. functions, macros), data visualization, program validation, output generation - Support non-clinical / clinical development in all phases, study planning (protocol, study design), sample size, reporting, analysis plan (e.g. SAP) - Customer consulting and direct point of contact Qualifications - Master´s degree in statistics, mathematics, or comparable studies or PhD - First professional experience as a statistician with responsibility for clinical studies is an advantage - Very good methodological knowledge of basic and advanced statistical methods in the field of clinical trials - Very good IT skills, especially with statistical analysis tools (SAS, R) - Knowledge of relevant terminology in clinical and non-clinical research - Knowledge of relevant guidelines GCP, ICH - Quick comprehension and analytical thinking - Team player with high degree of initiative - Good English skills, German is an advantage Benefits - Valued communication, flat hierarchies, open corporate culture, and a harmonious work environment - Comprehensive individual development opportunities - Continuous trainings - Flexible working hours - A modern and bright office with a subsidised canteen - Opportunity to work 2 days per week from home - Full remote work from anywhere in Germany for those who do not live in Munich can be discussed - Join an interdisciplinary team allowing you to discuss with and learn from peers with many different backgrounds Company Description Staburo GmbH is a data science company, specialized in statistical consulting, programming and bioinformatics for healthcare projects. Our core competencies include: - Clinical Statistics - Translational Medicine & Biomarkers - Phase I & Pharmacokinetics/-Dynamics - Data Transparency & Disclosure Services - Health Technology Assessment - Bioinformatics Our customers are international pharmaceutical companies, CROs, biotech companies and medical device manufacturers. Our steadily growing team supports our clients efficiently from study design to data analysis and finally the disclosing and posting of trial results.

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.