• The SAP Data & Analytics Lead is responsible for leading Data Strategy and Analytics capability for the S/4HANA program. • Perform end-to-end architecture, development, and maintenance of high-performance data solutions. • Govern the creation of robust data pipelines, ensure enterprise-grade data quality, and oversee complex ETL/migration strategies. • Act as a strategic advisor to the business, leveraging SAP Analytics Cloud (SAC) and Embedded Analytics to transform raw data into actionable insights that drive budgeting, planning, and operational excellence. • Supervise the modeling of Key Performance Indicators (KPIs) and vendor/client data. • Collaborate with Functional Leads (e.g., O2C, P2P, B2R) to translate complex business requirements into intuitive dashboards and real-time reporting solutions. • Provide expert support for Planning and Budgeting, ensuring that SAC planning models are integrated with S/4HANA Finance.

Our Mission: 6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Purpose of the Job Data Scientist leads and drives advanced AI initiatives within the organization. By leveraging advanced statistical methods, machine learning, and programming, the Data Scientist is responsible for designing and implementing complex AI solutions. This role involves innovatively solving business problems, optimizing algorithms, and deploying AI models to provide data-driven insights that align with the organization's strategic goals. Additionally, the Data Scientist ensures efficient workflows, automates processes, and effectively communicates insights to stakeholders, aiming to enhance productivity, strategic decision-making, and overall business success. Job Description Responsibilities & Accountabilities - Lead the design and development of complex AI solutions, employing advanced techniques to optimize algorithms and data sets for superior performance. - Design and implement experiments to rigorously evaluate AI solution performance and provide valuable insights for refinement. - Develop detailed AI solution requirements and effectively manage the development process, adapting to changing circumstances and requirements. - Collaborate effectively with cross-functional teams and stakeholders, ensuring successful delivery while adapting to evolving needs and circumstances. - Stay updated with the latest trends and advancements in AI technology, incorporating newfound knowledge into solution design and development. - Apply mastery of statistical methods, machine learning algorithms, and programming languages to analyze unstructured data and derive actionable insights. - Develop novel modeling techniques and algorithms, utilizing advanced methodologies like Bayesian inference, reinforcement learning, and causal inference. - Create scalable models capable of handling large volumes of real -time data, ensuring transparency and explainability in the model's functioning. - Develop models that inform strategic decision-making at the highest organizational levels, leveraging advanced machine learning techniques. - Align business objectives with innovative data science solutions, proactively identifying opportunities for data-driven insights and product innovations. - Develop and implement advanced AI models, utilizing techniques like transfer learning, ensemble methods, and neural networks for complex problem -solving. - Design and implement efficient workflows, automate data -related tasks, and lead process improvement initiatives to enhance productivity and data accuracy. - Lead product development efforts, demonstrating an understanding of the business model and leveraging data for product decision-making and roadmap planning. Ethical Product Development: Understand and consider the ethical and legal implications of data-driven products and solutions, ensuring responsible and compliant development practices. Performance Measurement - AI Solution Effectiveness: Measure the effectiveness of AI solutions developed by assessing their impact on solving complex business problems. - Model Performance and Optimization: Evaluate and optimize machine learning models to ensure they meet predefined performance metrics and business objectives. - Innovative Solutions Impact: Assess the impact of innovative data science solutions on driving insights, product offerings, and business growth. - Efficiency and Productivity: Evaluate the efficiency and productivity improvements achieved through process automation and optimization. - Stakeholder Communication: Assess the effectiveness of communication and collaboration with stakeholders in delivering successful AI solutions. - Adaptability and Learning: Measure adaptability to changing requirements and the ability to quickly learn and apply new technologies and methodologies. - Product Alignment and User Impact: Evaluate the alignment of data -driven products with business goals and their impact on improving user experiences and satisfaction. - Ethical and Legal Compliance: Monitor compliance with ethical and legal standards in the development of data-driven products and solutions. Educational and Experience Requirements - Ph.D. or Master's in Computer Science, Data Science, or related field. - 5+ years in data science, machine learning, and AI, with progressive tech leadership roles. - Strong Python, R, SQL, and advanced statistical and ML techniques. - Designing tailored ML models, optimizing algorithms, and AI solution deployment. - Designing efficient workflows, automation, and process improvements. - Exceptional communication and leadership skills, managing data science teams. - Driving innovation, staying updated with emerging tech, and ensuring ethical compliance. - Effective collaboration, adaptability to changing requirements and circumstances. Competencies and Behaviors - Strong advanced statistical methods, machine learning, and programming languages (Python, R, SQL). - Innovative Problem-Solving: Proactive in identifying innovative data -driven insights, leveraging cutting-edge technologies, and challenging existing approaches. - Expertise in designing and deploying complex AI solutions, optimizing algorithms, and integrating models effectively. - Proficient in automating workflows, improving processes, and enhancing efficiency in data collection, cleaning, analysis, and reporting. - Strong communication skills to convey complex insights to stakeholders and effective leadership in managing data science teams. - Willingness to stay updated with emerging trends, methodologies, and technologies, and adapt to changing requirements in the field. - Understanding and adherence to ethical and legal implications related to data -driven products and solutions. - Effective collaboration with cross-functional teams and stakeholders, ensuring successful project delivery through teamwork. - Demonstrated contributions through research publications and thought leadership in the data science domain. - Ability to align data science goals with broader business objectives, leveraging insights for strategic decision-making. - Understanding and integrating user needs and experiences into product development, using data to drive user-centric decisions. - Ability to adapt to changing requirements and circumstances, ensuring the successful delivery of AI solutions in dynamic environments. - Efficiently manage time and prioritize tasks to meet project deadlines and organizational goals. - Commitment to maintaining high-quality standards, adhering to compliance requirements, and ensuring data accuracy and validity. Base Salary Range: $133,687.50 - $178,250.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy Our Benefits: Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices. We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. Equal Opportunity Employer: 6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com. We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com

Our Mission: 6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Purpose of the Job Data Scientist leads and drives advanced AI initiatives within the organization. By leveraging advanced statistical methods, machine learning, and programming, the Data Scientist is responsible for designing and implementing complex AI solutions. This role involves innovatively solving business problems, optimizing algorithms, and deploying AI models to provide data-driven insights that align with the organization's strategic goals. Additionally, the Data Scientist ensures efficient workflows, automates processes, and effectively communicates insights to stakeholders, aiming to enhance productivity, strategic decision-making, and overall business success. Job Description Responsibilities & Accountabilities - Lead the design and development of complex AI solutions, employing advanced techniques to optimize algorithms and data sets for superior performance. - Design and implement experiments to rigorously evaluate AI solution performance and provide valuable insights for refinement. - Develop detailed AI solution requirements and effectively manage the development process, adapting to changing circumstances and requirements. - Collaborate effectively with cross-functional teams and stakeholders, ensuring successful delivery while adapting to evolving needs and circumstances. - Stay updated with the latest trends and advancements in AI technology, incorporating newfound knowledge into solution design and development. - Apply mastery of statistical methods, machine learning algorithms, and programming languages to analyze unstructured data and derive actionable insights. - Develop novel modeling techniques and algorithms, utilizing advanced methodologies like Bayesian inference, reinforcement learning, and causal inference. - Create scalable models capable of handling large volumes of real -time data, ensuring transparency and explainability in the model's functioning. - Develop models that inform strategic decision-making at the highest organizational levels, leveraging advanced machine learning techniques. - Align business objectives with innovative data science solutions, proactively identifying opportunities for data-driven insights and product innovations. - Develop and implement advanced AI models, utilizing techniques like transfer learning, ensemble methods, and neural networks for complex problem -solving. - Design and implement efficient workflows, automate data -related tasks, and lead process improvement initiatives to enhance productivity and data accuracy. - Lead product development efforts, demonstrating an understanding of the business model and leveraging data for product decision-making and roadmap planning. Ethical Product Development: Understand and consider the ethical and legal implications of data-driven products and solutions, ensuring responsible and compliant development practices. Performance Measurement - AI Solution Effectiveness: Measure the effectiveness of AI solutions developed by assessing their impact on solving complex business problems. - Model Performance and Optimization: Evaluate and optimize machine learning models to ensure they meet predefined performance metrics and business objectives. - Innovative Solutions Impact: Assess the impact of innovative data science solutions on driving insights, product offerings, and business growth. - Efficiency and Productivity: Evaluate the efficiency and productivity improvements achieved through process automation and optimization. - Stakeholder Communication: Assess the effectiveness of communication and collaboration with stakeholders in delivering successful AI solutions. - Adaptability and Learning: Measure adaptability to changing requirements and the ability to quickly learn and apply new technologies and methodologies. - Product Alignment and User Impact: Evaluate the alignment of data -driven products with business goals and their impact on improving user experiences and satisfaction. - Ethical and Legal Compliance: Monitor compliance with ethical and legal standards in the development of data-driven products and solutions. Educational and Experience Requirements - Ph.D. or Master's in Computer Science, Data Science, or related field. - 5+ years in data science, machine learning, and AI, with progressive tech leadership roles. - Strong Python, R, SQL, and advanced statistical and ML techniques. - Designing tailored ML models, optimizing algorithms, and AI solution deployment. - Designing efficient workflows, automation, and process improvements. - Exceptional communication and leadership skills, managing data science teams. - Driving innovation, staying updated with emerging tech, and ensuring ethical compliance. - Effective collaboration, adaptability to changing requirements and circumstances. Competencies and Behaviors - Strong advanced statistical methods, machine learning, and programming languages (Python, R, SQL). - Innovative Problem-Solving: Proactive in identifying innovative data -driven insights, leveraging cutting-edge technologies, and challenging existing approaches. - Expertise in designing and deploying complex AI solutions, optimizing algorithms, and integrating models effectively. - Proficient in automating workflows, improving processes, and enhancing efficiency in data collection, cleaning, analysis, and reporting. - Strong communication skills to convey complex insights to stakeholders and effective leadership in managing data science teams. - Willingness to stay updated with emerging trends, methodologies, and technologies, and adapt to changing requirements in the field. - Understanding and adherence to ethical and legal implications related to data -driven products and solutions. - Effective collaboration with cross-functional teams and stakeholders, ensuring successful project delivery through teamwork. - Demonstrated contributions through research publications and thought leadership in the data science domain. - Ability to align data science goals with broader business objectives, leveraging insights for strategic decision-making. - Understanding and integrating user needs and experiences into product development, using data to drive user-centric decisions. - Ability to adapt to changing requirements and circumstances, ensuring the successful delivery of AI solutions in dynamic environments. - Efficiently manage time and prioritize tasks to meet project deadlines and organizational goals. - Commitment to maintaining high-quality standards, adhering to compliance requirements, and ensuring data accuracy and validity. Base Salary Range: $133,687.50 - $178,250.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy Our Benefits: Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices. We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. Equal Opportunity Employer: 6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com. We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com

Data Scientist We’re building a universal data API that lets brokers, TMSs, fintechs, and fleets connect to truck and trailer data through a single integration. Catena sits beneath the freight ecosystem, normalizing real-time telematics and execution data so platforms can automate workflows, reduce risk, and make better decisions. As a Data Scientist at Catena, you’ll focus on turning large-scale, messy logistics data into clear insights, proof points, and decision-ready outputs that power product direction, GTM motion, and customer conviction. This is not a research-only or academic role. You’ll work directly with real production data from hundreds of thousands of trucks and trailers and collaborate closely with product, engineering, and go-to-market teams to show what’s possible with Catena’s data layer. Role Summary You’ll own the analysis, exploration, and synthesis of Catena’s data to support three core objectives: - Prove value to TMSs, visibility platforms, brokers, and shippers - Enable GTM with concrete demos, sandboxes, and ROI-driven examples - Inform product strategy with real-world patterns from the network You’ll help create large-scale sandboxes, identify patterns like capacity availability, lane behavior, dwell, and utilization, and translate those into narratives customers can immediately understand. What You’ll Do Insight Generation & Analysis - Analyze large-scale telematics and execution data across fleets, lanes, and time - Identify patterns in capacity, utilization, dwell, reliability, HOS, and asset behavior - Develop metrics and summaries that reflect real-world freight performance GTM Enablement - Build and maintain large-scale sandboxes (1,000+ vehicles) using masked or synthetic data - Create compelling examples for sales, pilots, and customer conversations - Partner with GTM to turn raw data into clear ROI stories and proof points Product & Platform Feedback - Surface data-driven insights that influence roadmap priorities - Validate assumptions about customer use cases with real network data - Help define “decision-grade” metrics that customers actually trust Cross-Functional Collaboration - Work closely with product, engineering, and FDEs to understand data nuances - Support pilots and strategic accounts (e.g., TMS, visibility, broker platforms) - Translate technical findings into clear narratives for non-technical audiences Data Quality & Modeling (Lightweight) - Help define data quality checks, thresholds, and confidence measures - Assist in shaping normalized views (lane history, asset identity, availability) - Focus on interpretability and usability over black-box modeling Skills & Qualifications - Strong analytical foundation with experience in Python, SQL, and data analysis workflows - Comfort working with large, messy, real-world datasets - Ability to reason about operational systems using imperfect data - Experience turning analysis into clear business insights and narratives - Strong communication skills across technical and non-technical teams - Comfortable working in ambiguity and early-stage environments Ideal Candidate Profile - 3–6+ years in data science, analytics, or applied research roles - Experience in logistics, supply chain, marketplaces, or networked platforms is a big plus - Excited about building examples and insight, not just models - Enjoys working close to customers and real business problems - Pragmatic, curious, and impact-driven Why Join Us? - Real Impact: Your work ships to production fast with major freight platforms - Product Influence: FDE insights directly shape the roadmap - Real Scale: Hundreds of thousands of trucks, 130+ telematics providers - High Ownership: No ego, execution-driven culture - Remote-First: Flexible work with optional travel and team meetups - Momentum: Customers use us in production and many are investors Compensation: Competitive salary + meaningful equity, full benefits, 401k match Company Description Catena builds the connectivity infrastructure freight has been missing. We unify telematics, sensors, and operational data into a single API so logistics platforms can automate workflows, reduce fraud, improve safety, and build better products. We’re operators who’ve lived these problems inside carriers, brokerages, TMSs, and financial institutions. We care about accuracy, coverage, and real outcomes not hype. Catena has raised $8.25M from Shaper Capital, Floating Point, Plug and Play, Liquid 2, and leading industry angels.