• Lead data-driven product strategy initiatives supporting fraud detection and prevention systems • Design and deliver insights, reporting, and analytical frameworks to detect and mitigate fraud at scale • Define, track, and evaluate key metrics, including machine learning model performance and business impact • Partner with cross-functional teams to influence experimentation design, causal inference, and measurement strategy • Build intuitive dashboards and data visualizations to communicate insights to technical and non-technical stakeholders • Develop compelling data narratives that inform product, policy, and operational decisions • Drive structured decision-making through reviews, scorecards, OKRs, and planning processes • Lead coordination of high-visibility initiatives, including running standups, aligning stakeholders, and tracking progress • Define project scope, objectives, timelines, and resource requirements for complex programs • Develop and manage detailed project plans, proactively identifying and mitigating risks

Build, Deploy, and Maintain AI for an Unpredictable WorldStriveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective. With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments. The RoleAs a Senior Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products. You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams. Your day-to-day will include: - Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform - Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data - Orchestrating and automating complex data and analytic pipelines - Implementing AI-based software solutions for cloud and edge environments - Conducting mission-critical field work and interfacing with customers and other stakeholders This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time. The Right FitIn addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results. Here’s what we’re looking for: - BS degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience - Expertise in machine learning, data science, and their application to image and video data, as well as experience deploying those capabilities to production environments - Expertise in implementing and analyzing algorithms and data structures - Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn - Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD) - Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance - Due to the nature of this role, candidates must have US citizenship The Wish ListWe’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of: - Active Secret (or above) US security clearance - Advanced degree (MA, PhD) in computer science, machine learning, mathematics, or a related discipline - Experience processing a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals) - Experience building AI agents and agentic workflows - Experience implementing ETL pipelines, data pipelines, and/or workflow automation - Experience developing solutions in a compiled programming language (Go, Rust, C++, Java, etc.) - Experience building full-stack applications (back end, front end, REST) or solutions targeted for cloud infrastructure (AWS, Azure, GCP) and/or Kubernetes (K8s) - Experience leading a small team - Experience delivering technology solutions in secure government environments - Experience working with federal, state, and/or local government customers The anticipated base pay range for this position is $170,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. The Benefits - Medical/dental/vision insurance - Voluntary life, long-term disability, accident, and hospital indemnity insurance - HSA and FSA (including dependent care FSA) plans - 401(k) plan - Unlimited PTO - Paid parental leave Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire. Striveworks is a participating employer in the E-Verify program.

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come. Job Purpose and Impact As a Senior Data Scientist in Research and Development, your work will have a direct impact on efficient, sustainable food manufacturing solutions. This role will work collaboratively in multidisciplinary teams to develop complex proofs of concept, minimum viable products, and scale fully deployed solutions across multiple manufacturing facilities. In this role, you will create complex predictive and computer vision models that help deliver significant value to the company's businesses. Key Accountabilities - Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver complex projects on time and within budgets. - Translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope. - Take ownership for the entire data science workflow that includes a well-defined, complex project scope, exploratory data analysis, model development, deployment and monitoring. - Continuously seek out best practices and develop skills. - Create scalable structures to accelerate deployment to multiple facilities. - Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff. - Other duties as assigned This position is preferred to work from the Wayzata, MN headquarters location but could also work remote from a home-office location anywhere in the United States. Qualifications MINIMUM QUALIFICATIONS - Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field; or equivalent practical experience. - Minimum of 4 years of relevant professional experience, OR 3 years experience with a Master’s degree, OR 2 years experience with a Ph.D. in a related discipline. - Proficiency in Python programming. - Hands-on experience developing computer vision models for image classification, object detection, and segmentation. - Experience with computer vision tools, both traditional and deep learning, such as OpenCV, PyTorch, etc including transfer learning and fine-tuning deep learning models. - Experience deploying ML models using a containerized deployment framework (Docker, Podman, etc). - Proven ability to develop proofs of concept and scale them into full production solutions. - Demonstrated ability to present complex concepts to non-technical audiences. PREFERRED QUALIFICATIONS - Master's degree or PhD in data science, computer science, math, engineering or related field - Solid understanding of Computer Vision fundamentals. - Knowledge of MLOps practices for productionizing vision models. - Experience scaling a production solution to multiple sites - Experience working with continuous integration and delivery (CI/CD) pipelines - Experience working with AWS - Experience in manufacturing, supply chain, or agriculture Compensation Data The expected annual salary for this position is $120,000-$140,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions). Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law. #LI-HS1 #themuse #fbg #LI-Remote Equal Opportunity Employer, including Disability/Vet.

• Build the Pricing Intelligence System • Create the analytical foundation that powers pricing decisions across the company. • Develop frameworks and datasets that allow teams to understand price sensitivity, margin impact, and marketplace behaviour. • Build visibility into how pricing performs across different product categories and services. • Your impact: pricing becomes measurable and controllable rather than opaque. • Design and Run Pricing Experiments • Introduce experimentation into pricing decisions. • Design and analyse experiments that measure elasticity, conversion impact, and behavioural changes across pricing structures. • Work with Product and Engineering across all domains to implement safe and scalable experimentation. • Your impact: pricing decisions are grounded in evidence. • Connect Pricing Across the Platform • Ensure pricing decisions across teams work together. • Work with leaders across Marketplace, Fulfilment, and Fintech to identify inconsistencies, conflicts, and opportunities. • Create a shared framework that helps teams understand trade offs between margin, liquidity, and growth. • Your impact: pricing operates as a unified system rather than disconnected decisions. • Build the Foundations of a Pricing Engine • Partner with Data and Engineering to move pricing logic into scalable systems. • Define the models, signals, and infrastructure required for dynamic or rules based pricing. Ensure pricing inputs can be integrated into the product platform over time. • Your impact: pricing becomes scalable as the platform grows. • Turn Data Into Clear Commercial Insight • Translate complex analysis into decisions leaders can act on. • Provide clear insight into pricing behaviour across the platform. • Help teams understand the trade offs between margin, liquidity, growth, and customer behaviour. • Your impact: pricing becomes a strategic lever for the business.