INCRMNTAL

INCRMNTAL is searching for the best Data Scientist out there! We are a new startup founded by successful serial entrepreneurs with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: "Half the budget I spend on Advertising is wasted. The problem is – I don't know which half" (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – "which half is wasted?" We are a new startup, launched in summer of 2020, backed by strategic investors from around the world who believe in what we're doing. We have customers and a constant flow of interest from the press, investors and more large companies who want to join us. Role Description: As a Staff Data Scientist your role will be to: Use analytical, statistical and technical skills to understand large, complex datasets with the aim to eliminate waste and measure incrementality for advertisers. Lead, Develop & improve algorithms for automated decision making around lifetime value, causality, multi-touch attribution, and media mix optimization Determine, analyze, maintain, and report on core marketing metrics to identify causal relationships between marketing actions and outcomes. Translate data into actions and recommendations – appropriately interpreting and building on findings, and fully exploiting insights You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we're not interested in doing. Key Requirements: Min. 8 years of work experience in a commercial data science environment that requires the combined application of statistical & engineering skills Strong statistical and research skills with a track record of using a variety of math and statistical methods (especially Causal Inference, Prediction models, Bayesian Method) Excellent development skills (Python required, R or Scala a plus) Experience in working on big data with distributed computing (Spark, Airflow, Kubernetes) Familiarity with digital marketing, advertising or analytics is a plus Extensive experience in the Time Series domain, working with small and large time series frames Theoretical background knowledge like from a relevant BSc, MSc or PHD is a big advantage (e.g. in Mathematics, Computer Science, Statistics, Physics) Please note: The requirements and description above represents the skills and expectations from the person in this role. Having said that - if you are really interested in the position and believe you only tick some of the key requirements - do apply. Benefits of Joining INCRMNTAL: We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. Excellent and committed employees will be granted share options. We are passionate, solution-oriented people who are accountable to our actions. We place our customers first and aspire to build a valuable solution to measuring value. At INCRMNTAL, you should be ready to make decisions yourself. We say: "Don't ask for permission – beg for forgiveness". We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply. Send your CV and motivation letter (optional) to [email protected]

We are a new startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: "Half the budget I spend on Advertising is wasted. The problem is – I don't know which half" (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – "which half is wasted?" INCRMNTAL launched in summer of 2020, backed by strategic investors from around the world who believe in what we're doing. We have customers and a constant flow of interest from the press, investors and more large companies who want to join us. About the role: We are looking for a Senior Marketing Science (Business Analyst) to join our team and drive impactful analysis for our customers. This individual will play a critical role in addressing complex business questions, delivering actionable insights, and guiding our clients in optimizing their marketing strategies. If you are passionate about measurement and analytics, self-reliant, and motivated to make a meaningful impact, we want to hear from you! Role Description: As a Senior Marketing Science Manager your role will be: Collaborate with clients to uncover insights about their marketing incrementality performance and paid-channel efficiency. Deliver benchmarking analyses to provide clients with context on how they perform relative to industry standards and peers. Design and execute analyses to answer challenging business questions, including those that are ambiguous or unstructured. Proactively identify opportunities to help clients optimize their performance using INCRMNTAL's measurement solutions. Leverage statistical methods and advanced analytics to uncover trends and provide actionable recommendations. Work directly with large datasets using SQL to extract, analyze, and interpret data. Collaborate with Product and Engineering teams to enhance the analytics capabilities of the platform, ensuring customer needs are met. Create and maintain visually compelling reports and dashboards to communicate findings effectively. Partner closely with Product, Customer Success, and Sales teams to understand customer challenges and drive the adoption of data-driven solutions. Provide feedback to the Product team to improve features and usability based on customer insights and hands-on experience. Act as a subject matter expert on marketing measurement and incrementality, sharing insights with customers and internal teams. Stay ahead of industry trends, emerging measurement methodologies, and market developments. You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we're not interested in doing. Key Requirements: 4+ years in marketing science and/or marketing analytics roles, preferably within the adtech / marketing tech ecosystem or a measurement-focused company. Strong proficiency in SQL and experience with cloud-based analytics platforms (e.g., Amazon Athena, Google BigQuery). Familiarity with statistical tools (e.g., R, Python) and data visualization platforms (e.g., Tableau, Looker). Self-motivated and independent, with a proven ability to manage multiple projects and deliver high-quality results. Exceptional communication and storytelling skills, capable of presenting complex data insights to both technical and non-technical audiences. Bonus Point: Understanding of incrementality measurement and marketing efficiency methodologies. Note: The requirements and description above represents the skills and expectations from the person in this role. Having said that - if you are interested in the position and believe you only tick some of the key requirements - please do apply. Benefits of Joining INCRMNTAL: We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. You will be granted share options as an early employee. We are passionate, solution-oriented people who are accountable to our actions. We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.

INCRMNTAL is searching for the best Senior Product Manager out there! We are a 5 years old startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: "Half the budget I spend on Advertising is wasted. The problem is – I don't know which half" (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – "which half is wasted?" Incrmntal launched in summer of 2020, backed by strategic investors from around the world who believe in what we're doing. We have customers and a constant flow of interest from the press, investors and more large companies who want to join us. Role Description: As a Senior Product Manager at INCRMNTAL, you will sit at the intersection of data science, engineering, and product, translating complex ML and causal inference capabilities into a product our customers love. You will work hand-in-hand with our data science and the engineering teams to shape how models are designed, evaluated, and delivered into production. Own a significant part of the product roadmap for our value measurement platform, with a focus on data science driven features (causal inference, incrementality modeling, attribution, and media mix optimization) and customer onboarding. Partner closely with data scientists from problem framing through experimentation, model validation, and productization, you'll be expected to critically read model specs, challenge assumptions, and help prioritize research directions based on customer impact Define success metrics and evaluation frameworks for ML models alongside the DS team, balancing statistical rigor with business usability Own the UX of data-heavy features: collaborate with designers and data scientists to turn complex model outputs into intuitive user flows, clear visualizations, and dashboards that customers can actually act on Design and prioritize dashboards, reports, and in-product analytics, defining what metrics to surface, how to visualize uncertainty and causal results, and how to make insights discoverable without overwhelming the user Run user research and customer interviews to validate both the analytical value and the usability of features, and onboarding integration; translate findings into concrete design and product improvements Translate customer problems into well-scoped technical and design requirements; translate model outputs and methodology into clear value propositions for customers Prepare the implementation of features and support engineering, design, and DS teams through design reviews, QA, and launch, including writing acceptance criteria that account for model behavior, edge cases, data quality, and UX states (empty, loading, partial data, error) Ensure data integrity through testing, acceptance tests, and ongoing monitoring across our diverse range of data products Work with clients and internal stakeholders to understand business goals, identify relevant KPIs, and feed those insights back into the product, modeling, and dashboarding roadmap Oversee end-to-end data flow and engineering processes, collaborating with ML, data, and engineering teams to ensure efficient and accurate operation during critical phases like client onboarding and daily production runs Strategically plan for missing or imperfect data, designing product behavior and UX for new client onboarding, process failures, client-specific configurations, long-term seasonality, and external signals/features Drive experimentation: help design A/B tests, back-tests, and validation studies to assess the impact of new models, features, and UX changes Key Requirements: Min. 4 years of work experience in a product management role, experience in SaaS, B2B and/or data-heavy / ML-driven products is strongly preferred Proven track record of shipping products that involve machine learning, statistical modeling, or data pipelines, comfortable being the PM counterpart to a data science team Technical fluency: able to read and discuss ML/statistical concepts (regression, causal inference, Bayesian methods, time series) with data scientists, and able to reason about trade-offs in model design Hands-on comfort with SQL and the ability to independently query, explore, and validate data; familiarity with Python (notebooks, basic scripting) is a strong plus Understanding of data infrastructure concepts, ETL/ELT pipelines, data quality, distributed processing (Spark, Kubernetes, Argo, or similar), enough to collaborate meaningfully with engineering Strong UX sensibility for data products, experience partnering with designers to turn complex data and model outputs into clear, usable interfaces; comfort working in Figma (reviewing, commenting, and prototyping); a strong eye for data visualization and how to communicate uncertainty, causal results, and KPIs to non-technical users Experience shaping dashboards and in-product analytics, defining what to surface, how to structure it, and how users will interpret and act on it Hands-on experience with product integrations and data connectors, understanding how customers bring their data in (APIs, SDKs, MMPs, ad platforms, server-to-server integrations, data warehouses), and how to design onboarding flows that handle authentication, data mapping, validation, and error states Familiarity with third-party integrations in the ad-tech ecosystem (e.g., Google Ads, Meta, TikTok, AppsFlyer, Adjust, Snowflake, BigQuery) is a big plus Knowledge of agile development practices (Scrum, Kanban) Strong analytical skills, conceptual thinking, and a structured work approach Excellent written and verbal communication, able to translate between DS, engineering, design, and commercial stakeholders Familiarity with advertising, digital marketing, analytics, attribution, or tracking is a big plus BSc or higher in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, Physics, or similar) is a plus Benefits of Joining INCRMNTAL: We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. You will be granted share options as an early employee. We are passionate, solution-oriented people who are accountable to our actions. We care and respect one another, as we are ALL people, our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.

We are a startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: “Half the budget I spend on Advertising is wasted. The problem is – I don’t know which half” (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – “which half is wasted?” INCRMNTAL launched in summer of 2020, and developed our innovative product while working with some of THE-MOST sophisticated advertisers. We work with globally known companies as our customers and get a constant flow of interest from the press, customers, and partners. About the role: INCRMNTAL sells a sophisticated analytics platform that combines marketing science, causal inference, and machine learning. Prospects often ask complex questions about measurement methodology, modeling assumptions, validation processes, and how results should be interpreted. The Sales Engineer will play a critical role in the sales process by translating the technical depth of the platform into clear, compelling explanations for marketing leaders, analysts, and data teams. You will partner closely with the sales team during the sales cycle, support product demonstrations, answer technical questions from prospects, and help build trust in the methodology behind the platform. This role sits at the intersection of sales, product, and data science. As a Sales Engineer your role will be: Join sales calls and product demonstrations to explain the platform’s methodology and analytical approach to help overcome technical objections Answer technical and methodological questions from prospects during the sales process. Help prospects understand how INCRMNTAL differs from traditional attribution, MMM, or experimentation approaches. Support the sales team in moving deals forward by building trust in the platform’s measurement framework. Deliver clear and engaging product demonstrations tailored to different audiences (CMOs, growth teams, data scientists, analysts). Translate complex modeling concepts into intuitive explanations that marketers can understand. Customize demo narratives based on the prospect’s marketing stack and challenges. Support proof-of-concept discussions and pilot programs Explain the underlying modeling logic and how the system measures incrementality. Walk prospects through validation methods, case studies, and experimental comparisons used by customers. Help prospects interpret platform outputs and understand how to operationalize insights. Work closely with product and data science teams to stay current on platform capabilities. You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we’re not interested in doing. Key Requirements: 4+ years in a Sales Engineer, Solutions Consultant, Data Consultant, or Marketing Analytics role. Experience working with marketing data, attribution models, MMM, or growth analytics. (Adtech, Marketing Tech) Experience presenting technical concepts to non-technical audiences. Strong analytical thinking and ability to understand statistical models. Excellent communication and storytelling skills. Ability to translate complex ideas into simple explanations. Comfortable presenting to senior marketing leaders. Familiarity with marketing measurement methodologies such as: Incrementality testing Marketing Mix Modeling Attribution models Please Note: The requirements and description above represent the skills and expectations from the person in this role. Having said that - if you are interested in the position and believe you only tick some of the key requirements - please do apply. Benefits of Joining INCRMNTAL: We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. We are passionate, solution-oriented people who are accountable to our actions. We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.

INCRMNTAL is searching for the best Senior Software Engineer out there! We are a 4 years old startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: "Half the budget I spend on Advertising is wasted. The problem is – I don't know which half" (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – "which half is wasted?" INCRMNTAL launched in summer of 2020, backed by strategic investors from around the world who believe in what we're doing. We have customers and a constant flow of interest from the press, investors and more large companies who want to join us. INCRMNTAL's innovative model, which has sparked interest within the academic community, has been acknowledged by the Israel Innovation Authority with a grant—a rare achievement in the marketing field. Role Description: As a Senior Software Engineer your role will be to: Play a key role in the design and architecture of cutting-edge, innovative data systems. Develop and maintain a multi-tenant environment for our advanced measurement solutions. Build and manage cloud-based, distributed computing environments to support scalable, high-performance operations. Design and implement robust ETL workflows, integrating multiple data sources for cleaning, transformation, aggregation, and querying. Troubleshoot and resolve complex issues related to data integration, storage, and retrieval. Architect and build big data solutions capable of managing and automating the processing of tens of terabytes. Optimize database performance and streamline query execution in large-scale environments. Collaborate closely with Data Scientists to align technical solutions with data-driven objectives. You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we're not interested in doing. Key Requirements: 10+ years of professional experience in backend software development (Python preferred) with a strong focus on data-related projects. Proven experience working in microservices environments and cloud platforms. Expertise in distributed applications and systems. Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. (Pandas, NumPy, Dask, Argo). Deep understanding of relational databases, data warehouses, advanced knowledge of SQL for crafting efficient queries. Hands-on experience in bringing applications to production and maintaining production environments. Strong problem-solving skills, with a passion for troubleshooting and optimizing complex systems. Familiarity with containerization technologies like Docker and Kubernetes. Strong communication and collaboration skills, with a track record of working effectively in cross-functional teams. Comfort with experimenting and adopting new technologies to stay ahead of the curve. Familiarity with DevOps practices and tools to support the full development lifecycle. Ability to multitask, prioritize, and manage time effectively in a fast-paced environment. Some of the technologies we use: Python, Argo, Kubernetes, Spark, etc… Benefits of Joining INCRMNTAL: We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. You will be granted share options as an early employee. We are passionate, solution-oriented people who are accountable to our actions. At INCRMNTAL, you should be ready to make decisions yourself. We say: "Don't ask for permission –beg for forgiveness ☺". We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.