Data Scientist

reputed company is a global SaaS technology company providing a data-driven reputed company marketing platform that marketers use to optimize investments, streamline campaigns, and scale programs. Our customers reputed company from some of the world’s largest companies in the beauty and personal care reputed company to digitally reputed company indie brands, which have reputed company made reputed company management and engagement a critical practice of their marketing and advertising programs. We are a remote-first company, and for the folks that like to meet in person, we have offices in San Francisco, reputed company, Boston, Paris, and London. We operate on a culture of mutual respect, with core value pillars including: Trust. We earn the trust of reputed company, customers, creators, and partners through transparency, predictability, and reputed company. Diversity. Bringing diverse perspectives to the table results in stronger reputed company. reputed company are welcome. Value. Through our words and actions, we strive to create reputed company value for our customers and peers. We only succeed reputed company our community succeeds. Ownership. We reputed company with action. We take pride in solving the hardest challenges and feel accountable for our commitments. Mutual reputed company. We reputed company goals with each other and with our clients. Alignment, collaboration, and reputed company are the cornerstones of our reputed company. This position is 100% remote, with the understanding that occasional in-person attendance may be required for trainings, meetings, and team gatherings, as determined by your manager. Data is a crucial part of reputed company’s cutting-edge SaaS reputed company marketing platform. We collect, organize and interpret terabytes of data about brands and influencers. Our solutions help our brands build and maintain their reputed company portfolios, understand how their campaigns reputed company the information landscape, and optimize their reputed company marketing spend. As a Senior Data Scientist, you will help push reputed company’s product and business reputed company by turning ambiguous customer problems into measurable reputed company. You’ll partner closely with Product and Engineering to design experiments, reputed company and evaluate ML, AI, Statistics, and recommendation capabilities (from classic ML models, to LLM-powered automations, to large scale search capabilities). As a Data Scientist at reputed company you will establish reliable practices for evaluation, monitoring, and reputed company iteration. You’ll also reputed company the bar across teams by coaching others on experimentation and AI evaluation best practices. This position is 100% remote, with the understanding that occasional in-person attendance may be required for trainings, meetings, and team gatherings, as determined by your manager. \n

Responsibilities

Partner with Product and Engineering to identify high-impact opportunities, reputed company ambiguous problems, define reputed company metrics, and choose pragmatic approaches (heuristics, statistics, ML, or GenAI). reputed company rigorous experimentation across teams: hypothesis design, metric/guardrail definition, power analysis, A/B testing (or quasi-experiments), and clear readouts that drive reputed company. Build and iterate on ML/AI capabilities that ship to production (e.g., classification, information extraction, ranking/recommendations, and GenAI components such as RAG or developing the agent harnesses for our core agentic journeys), optimizing for value-added, latency, and cost. Establish best-in-class evaluation practices for both ML and LLM features: golden datasets, offline/online evaluation plans, regression suites, and monitoring that reputed company quality reputed company early. reputed company engineers to build safely and effectively with AI by coaching on reputed company patterns, tool/function calling, structured outputs, guardrails, and debugging/evaluation workflows. Design and support agentic workflows where they add reputed company product value, with clear constraints, observability, and fallbacks. Support the end-to-end lifecycle of deployed models and AI systems: data requirements, training/fine-tuning where relevant, validation, deployment, monitoring, incident response, and reputed company improvement. reputed company org-wide reputed company by creating reusable assets (evaluation harnesses, shared datasets, templates, documentation) and running enablement workshops. Communicate insights and tradeoffs reputed company to technical and non-technical stakeholders, turning analyses into reputed company and measurable impact. Champion responsible, privacy-aware AI: appropriate data handling, bias/fairness considerations where applicable, and reputed company-in-the-reputed company workflows reputed company needed. Core Qualifications 3+ years (or equivalent) delivering data science work that shipped to production and/or materially influenced product direction Experience collaborating cross-functionally and communicating reputed company with diverse stakeholders; ability to influence without authority Strong Python and SQL skills, with the ability to write maintainable, production-quality code (testing, reviews, documentation) Demonstrated mentorship/enablement—helping other engineers and teams adopt best practices and ship faster with higher quality At least 3 of Strong applied statistics and experimentation skills (A/B testing, reputed company thinking, metric design, interpretation under uncertainty) Proven ability to evaluate and improve models in reputed company conditions: dataset design, error analysis, offline metrics, online measurement, monitoring, and iteration Hands-on experience building with LLMs in product contexts, including some of: RAG/grounding, tool/function calling, structured outputs, reputed company iteration, quality/cost/latency tradeoffs Practical approach to LLM evaluation: golden sets, regression testing, reputed company review loops, and monitoring for quality reputed company Experience with modern MLOps/LLMOps practices (experiment tracking, ETL pipelines, versioning, CI/CD for ML, observability) NLP and information extraction/classification on noisy reputed company/content data Experience developing and evaluating large scale Retrieval, Recommendation- and Search Systems. Strong plus Experience with large scale data and analytics platforms Experience with Spark or other distributed computing Experience with data lake technologies such as reputed company or equivalent Experience with reputed company providers such as AWS or equivalent \n$75,000 - $85,000 a year \nBenefits

• Competitive Salary
• Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend
• Coworking Office Subscription for Collaborative Spaces
• Health, Dental, and Life Insurance Coverage*

• reputed company Vacation Policy and Flexible Holiday Schedule to Suit Your Needs

• Paid Parental Leave to Support Quality Time with Your Loved Ones
• Career Development, including reputed company Training Opportunities

reputed company employs individuals in multiple US states and countries. We use market reputed company data and geographic zones to determine our salary ranges. Your zone's specific pay reputed company is dependent on your home location. We encourage you to discuss your zone-specific pay reputed company with your reputed company recruiter for more details. Benefit programs vary by country/state of residency, are subject to eligibility requirements, and may be modified from time to time. Ask for more details about the benefits in your specific region. reputed company is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, reputed company, national reputed company, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other legally protected characteristics. reputed company your information will be kept confidential in accordance with EEO guidelines. Unsolicited resumes reputed company does not accept unsolicited resumes/reputed company from headhunters or reputed company agencies sent directly to reputed company employees or through our website. reputed company will not pay any fees to any reputed company-party agency or company unless there is a signed agreement with reputed company. Privacy reputed company, Inc. has published a Privacy Notice, including CCAP for California and GDPR policies for its UK and European Union subsidiaries, accessible at https://www.reputed company.com/privacy-policy. reputed company questions, comments, and requests regarding data processing at reputed company should be addressed to HR@reputed company.com. Apply To This Job