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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Valence LLC - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Excel, A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Software as a Service, Data Infrastructure, Data Warehousing, Database Queries, Database Storage Structures, Human-Computer Interaction, Python (Programming Language), Machine Learning, NumPy, Power BI, Mixpanel, Standard Sql, Tableau (Software), Cloud Platform System, Pandas, Matplotlib, Information Technology, Data Analytics, Looker Analytics - **Published:** August 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=297d703e7a2ce828 ## About the Role * You have 5+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment. * You hold at least a Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field. * You are highly proficient in SQL and comfortable writing complex queries and working with diverse database structures. * You have hands-on experience with Python (using libraries like Pandas, NumPy, Matplotlib, or Seaborn) or R for data analysis and visualization. * You're familiar with BI tools such as Tableau, Looker, Power BI, or equivalent platforms. * You're familiar with using Excel or Google Sheets for ad hoc analysis and data exploration. * You may also bring experience with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts. * You know how to break down complex business problems into structured analyses. * You are skilled at identifying trends, patterns, and outliers in data to uncover key insights. * You can clearly communicate findings-both in writing and verbally-to technical and non-technical stakeholders alike. * Nice to have: You've worked in a fast-paced, early-stage startup, you bring familiarity with AI/ML concepts, you understand SaaS metrics and enterprise customers., This role is 3 days a week (Tues - Thurs) minimum in office in Toronto or NYC depending on your residency. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions., We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full-time role that requires a high level of focus, availability, and commitment. Employees may not hold concurrent full-time employment with another organization while employed at Valence. Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest - including risks related to confidentiality, intellectual property, or competition. Valence takes candidate fraud seriously. We verify identity, LinkedIn profiles, employment history, and references; any misrepresentation during the hiring process is grounds for withdrawing an offer or ending employment. All offers are contingent on successful completion of these checks. ## Description In this role you'll be critical in shaping how data informs decisions across our product, customer, and go-to-market teams. You'll uncover user behavior patterns, operational performance insights, and commercial opportunities - all while helping to lay the foundation for a scalable, insight-driven data culture. You'll collaborate deeply with leaders across Product, Engineering, Sales, and Customer Success to ensure we're making the smartest possible decisions from day one., * You will analyze platform usage, feature engagement, and user interaction with our AI-powered coaching tools to surface actionable insights. * You'll identify friction points and areas of opportunity across key user journeys. * You'll support rigorous A/B testing, evaluate AI model performance, and help assess the impact of new features on user experience and outcomes. * Reporting & Visualization * You'll develop self-serve dashboards and recurring reporting frameworks to democratize access to data across teams. * You will translate complex data into clear, compelling stories for technical and non-technical audiences to support data-informed decision-making. * Data Infrastructure & Collaboration * You'll collaborate with Product and Engineering teams to define tracking requirements and ensure accurate, consistent data collection. * You'll identify and recommend improvements to data processes that enhance quality, efficiency, and trust in analytics across the organization., * Outsized missions from day one, with direct responsibility for company-defining projects * Work alongside the executive team with transparency into strategy and decision-making * Influence on direction through real-time customer feedback and market insights AI-First Operator * Work directly with cutting-edge AI models and next-generation platforms * Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries * Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale ## Related Videos - [Vectorize all the things! 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