Title: Post Doctoral Scholar Location: Kottman Hall (0340) Job Description: Screen reader users may encounter difficulty with this site. For assistance with applying, please contact hr-accessibleapplication@osu.edu. If you have questions while submitting an application, please review these frequently asked questions. Current Employees and Students: If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following: - Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. - Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: FAES | School of Environment and Natural Resources The School of Environment and Natural Resources at The Ohio State University invites applications for a Postdoctoral Scholar to support research activities on two federally funded USDA Sustainable Agriculture Systems grants. This full‑time, term‑appointed position is based on the Columbus campus (Kottman Hall) with a hybrid work arrangement. Must be Ohio resident to work remotely. The Postdoctoral Scholar will play a key role in designing and implementing research protocols, leading data collection and analysis, producing peer‑reviewed publications, and mentoring graduate and undergraduate students contributing to the projects. Primary Responsibilities - Design research protocols to support funded project objectives - Conduct scoping and/or systematic literature reviews as needed - Oversee and participate in data collection activities, including survey administration - Analyze qualitative and/or quantitative data and lead manuscript development for publication - Mentor and supervise two PhD students and undergraduate researchers supporting project activities - Collaborate with faculty investigators and project stakeholders to ensure timely progress on grant deliverables Duties Breakdown - 25% – Research design and literature reviews - 25% – Data collection and survey administration - 25% – Data analysis and manuscript writing - 25% – Mentoring graduate and undergraduate researchers in the lab Minimum Required Qualifications - PhD in a relevant discipline (e.g., environmental science, natural resources, agriculture, sustainability, or a closely related field) Additional Information: Location: Kottman Hall (0340) Position Type: Term (Fixed Term) Scheduled Hours: 40 Shift: First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions. The university is an equal opportunity employer, including veterans and disability.

Hello, let’s meet! Who We Are While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started. What We Do We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data-driven solutions, and next-gen apps using ML, LLMs, and Generative AI. Our clients include Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, and Allegro or InPost. We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! Beyond Projects What makes Xebia special? Our community. We run events like the Data&AI Warsaw Summit, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow. What sets us apart?  Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself. About Project The project focuses on developing intelligent decision-making mechanisms for a large-scale auction and bidding platform. By combining predictive signals, system data, and AI-driven approaches, the system supports and optimizes business decisions across the ecosystem. You will be: - designing and developing bidding and optimization strategies for CPC-based auction systems, including advanced objectives such as target ROAS, - optimizing auction mechanisms (ranking, pricing, filtering) to balance platform revenue, advertiser value, and marketplace stability, - building and maintaining offline simulation environments, including counterfactual simulations and auction replay systems, to safely evaluate algorithmic changes, - designing and implementing feedback loops and control mechanisms to ensure stable and robust system behavior under dynamic market conditions, - conducting advanced ecosystem-level analytics on large-scale datasets to identify nonlinear effects, equilibrium points, and systemic risks, - designing, executing, and analyzing complex experiments and causal inference studies, accounting for network effects and long-term system impact, - contributing to the evolution toward smart, autonomous bidding and auction optimization through data-driven initiatives and roadmap development. Your profile: - proficiency in Python and SQL, with experience working on large-scale datasets, data analysis, statistical modeling, and algorithm prototyping, - experience working with Big Data environments or distributed data processing systems, - strong quantitative background in Mathematics, Statistics, Data Science, Optimization, Decision Science, or Operations Research, - solid understanding of optimization theory, including linear, nonlinear, constrained, and stochastic optimization, - knowledge of game theory and market mechanisms, particularly in competitive or auction-based environments, - experience designing and implementing algorithms under multiple objectives and constraints, considering ecosystem-wide impact, - strong analytical and system-level thinking, with the ability to reason about feedback loops, system dynamics, and equilibrium behavior and translate business goals into quantitative solutions, - ability to collaborate effectively in cross-functional, international teams and very good command of English (spoken and written). Work from the European Union region and a work permit are required. Nice to have: - experience with auction systems, bidding strategies, or advertising technology, - familiarity with control theory concepts, such as PID controllers or similar feedback mechanisms, - exposure to causal inference, experimentation platforms, or advanced A/B testing setups, - background in economics, mechanism design, marketplace optimization, or experience working with large-scale decision systems. Recruitment Process CV review – HR call – Technical Interview – Client Interview I – Client Interview II – Hiring Manager Interview – Decision

Hello, let’s meet! Who We Are While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started. What We Do We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! Beyond Projects What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow. What sets us apart? Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself. You will be: - analysing large scale search, booking, and behavioural datasets to identify patterns impacting conversion, margin, and user relevance, - designing, training, validating, and iterating machine learning models for ranking and recommendation use cases, - developing margin aware, conversion aware, and relevance based scoring models aligned with defined business KPIs, - experimenting with semantic relevance and embedding based approaches for intent driven search, - defining features, evaluating data quality, and collaborating on feature readiness for ML training, - runing and interpreting offline evaluations and online experiments, including A B testing and shadow mode validation, - monitoring model performance, data drift, and retraining needs in production, - collaborating closely with data engineers and platform engineers to productionise models and ensure scalability, - documenting assumptions, results, and trade offs to support knowledge transfer and long term maintainability. Your profile: - ready to join within 2 weeks, - strong experience in applied data science and machine learning on real world datasets, - solid understanding of ranking, optimisation, or recommendation problems, - experience working with transactional and behavioural data, - proficiency in Python for data analysis and model development, - experience with experimentation, validation, and performance measurement of ML models, - understanding of overfitting, bias, and model generalisation, - ability to work closely with engineers to deploy models into production environments, - practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, - exposure to Snowflake based analytics or ML workflows. Work from the European Union region and a work permit are required. Nice to have: - experience working in environments with business KPI guardrails such as margin, conversion, or NPS, - experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision

Hello, let’s meet! Who We Are While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started. What We Do We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data-driven solutions, and next-gen apps using ML, LLMs, and Generative AI. Our clients include Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, and Allegro or InPost. We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! Beyond Projects What makes Xebia special? Our community. We run events like the Data&AI Warsaw Summit, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow. What sets us apart?  Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself. You will be: - architecting and implementing machine learning models for campaign optimization, focusing on bid strategies, budget allocation, and pacing algorithms within the DSP environment for pogrammatic campaigns with focus on CTV, - leading the design of the model orchestration layer to solve complex multi-objective optimization challenges, - working at the intersection of Product and Engineering, ensuring the model suite operates in sync to maximize performance across conflicting business KPIs, - driving data and ML strategy for audience segmentation and targeting capabilities, utilizing first- and third-party data sources to enhance product performance and advertiser outcomes, - collaborating closely with Product and Engineering teams to integrate new models and data pipelines into production systems, ensuring scalability and performance, - conducting deep-dive analytics to uncover strategic insights into campaign performance, market trends, and audience behavior, translating findings into actionable product recommendations, - serving as a subject matter expert in ad-tech data science for internal and external stakeholders, presenting complex methodologies and results clearly, - mentoring junior data scientists and contributing to the team’s culture of rigorous experimentation, statistical excellence, and innovative problem-solving. Your profile: - Master’s or Ph.D. Degree in Computer Science, Statistics, Economics, or a hard science field preferred, - 7+ years of professional experience in a Data Scientist role, with a significant focus on the advertising technology (ad-tech) space, - deep, demonstrable expertise in DSPs, programmatic advertising, and CTV measurement, - proven track record in developing and deploying models for bidder optimization and attribution/measurement, - fluent in advanced statistical and machine learning techniques, with a strong command of Python and SQL., - upper-intermediate English (B2+), - strong communication skills, with the ability to articulate technical concepts and complex model results to non-technical stakeholders. Work from the European Union region and a work permit are required. Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies/ Nice to have: - experience with GCP and the Vertex AI ecosystem, as well as other tools such as feature stores and experiment tracking, - experience with LLMs and agentic AI frameworks/solutions, with special focus on evaluation. Recruitment Process CV review – HR call – Technical Interview – Client Interview – Hiring Manager Interview – Decision