DescriptionThis role combines deep technical expertise with leadership responsibility, driving multidisciplinary Data Science initiatives end-to-end within complex, security policy management systems. The role drives the development of innovative, production-grade AI capabilities - including security AI agents and advanced machine learning models built on complex security data. Original thinking, deep technical rigor, intellectual agility, and exceptional problem-solving are essential. Key Responsibilities - Lead end-to-end Data Science initiatives from problem framing through validation, CI/CD-based production deployment, monitoring, and ongoing operational optimization of AI systems - Design and implement security-focused AI agents and reasoning systems - Develop advanced ML capabilities, including predictive modeling, anomaly detection, and classification - Adapt and fine-tune LLM technologies for domain-specific security use cases - Partner with Product, Engineering, and Security teams to deliver measurable business impact - Provide technical leadership and mentorship across multidisciplinary Data Science initiatives Requirements - M.Sc. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline - At least 7 years of hands-on Data Science experience, delivering end-to-end solutions into production environments - Deep understanding of machine learning theory and practical model behavior - Strong expertise in Python and the modern Data Science ecosystem (NumPy, Pandas, Scikit-learn, PyTorch / TensorFlow, etc.) - Solid understanding of LLM architectures and fine-tuning methodologies - Excellent interpersonal skills and proven ability to work within multidisciplinary product teams - Strong analytical rigor and structured problem-solving capability Advantage - Experience with ML observability, model monitoring, or drift detection. - Experience with graph technologies, such as Neo4j. - Experience with Generative AI, RAG, GraphRAG, semantic search, vector databases, or domain-specific LLM fine-tuning / adaptation. - Experience designing and deploying AI agents or multi-step reasoning systems in on-premise environments. - Background in network security, firewall policies, or compliance analytics.

Role Description itD is seeking a Data Scientist V to drive data-informed decision-making for new product development by delivering advanced analytics, experimentation, and actionable insights across cross-functional teams. The ideal candidate will bring deep expertise in data science, statistical analysis, and product analytics, along with a proven track record of supporting 0-to-1 product development, designing measurement frameworks, and influencing product strategy through data. Location: Remote (PST preferred). Candidates may also be based onsite in Menlo Park, CA or Bellevue, WA. Please note that remote contractors may be required to transition onsite if Meta offices fully reopen. Duration: 6 Months Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities - Analyze large, complex datasets to identify trends, business opportunities, and key drivers that influence product performance. - Design, execute, and evaluate experiments, including A/B tests, KPI frameworks, and measurement strategies for new product initiatives. - Develop reproducible analyses, dashboards, and reporting solutions to enable ongoing product and business performance monitoring. - Build statistical models and operational research solutions to support forecasting, optimization, prioritization, and strategic planning. - Partner with product managers, engineers, and cross-functional stakeholders to translate business questions into scalable analytical solutions. - Present analytical findings and recommendations to technical and non-technical audiences, enabling data-driven product decisions. - Validate data quality, document analytical methodologies, and ensure accuracy and consistency across reporting and insights. Internal Responsibilities - Attend regular internal practice community meetings. - Collaborate with your itD practice team on industry thought leadership. - Complete client case studies and learning material (blogs, media material). - Build out material to contribute to the Digital Transformation practice. - Attend internal itD networking events (in person and virtual). - Work with leadership on career fast-track opportunities. Qualifications - Proven experience using data science to support 0-to-1 product development. - Strong proficiency in Python for data analysis, statistical modeling, and automation. - Advanced experience with SQL for querying, transforming, and analyzing large-scale datasets. - Strong knowledge of statistics, including hypothesis testing, regression analysis, experimental design, and statistical inference. - Experience designing and evaluating A/B tests, KPI frameworks, and measurement methodologies. - Knowledge of operational research techniques, including optimization, simulation, or decision analysis. - Experience translating complex analytical findings into actionable business recommendations. - Ability to manage multiple priorities and deliver high-quality analytical work in a fast-paced environment. Preferred Qualifications and Skills - Experience building or supporting data pipelines or a data engineering background. - Previous experience at Meta or another large technology company. - Experience supporting rapid product innovation within consumer technology environments. - Experience partnering closely with product teams on product strategy and experimentation. Education - Bachelor's degree in Statistics, Computer Science, Data Science, Mathematics, or a related quantitative field, or equivalent work experience required. Benefits - Comprehensive medical benefits. - 401(k) plan. - Paid holidays. - Networking & career learning and development programs. Company Description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching.

Role Description Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: - Heavily immersed in the data and the modeling. - Framing the business problem directly with stakeholders. - Building and validating the model. - Handing the ML-engineering last mile to your ML engineering partner. - Staying engaged through deployment, monitoring, and performance analysis. You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS. Outcomes - Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact. - Deliver buying models that maintain positive ROAS and quality. - Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth. - Establish trusted, direct partnership with vertical business stakeholders. - Produce trusted output: validated, documented, low correction burden. - Identify and leverage net-new modeling opportunities the business has not flagged. Qualifications - Proven experience in digital marketing, performance marketing, or the leadgen industry. - Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired). - Strong modeling fundamentals: the ability to build effective models that drive business impact. - Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud. - Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling. - Expert Python and SQL. - 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact. Requirements - Sophisticated ML at companies where paid digital media is core to the business model (nice to have). - Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models (nice to have). - Insurance domain experience (nice to have). - Creating state-of-the-art Ad Ranking algorithms (nice to have). - Modeling against ad-platform data points (Google, Meta, native) (nice to have). - LLMs / deep learning applied to personalization or content (nice to have). - Familiarity with Looker (nice to have). Benefits - Base salary: $175,000 to $200,000 per year, paid semi-monthly. - Compensation package includes a base salary, profit-sharing bonus, and competitive benefits. - Performance-driven company: future increases based on company and personal performance, not annual cost of living adjustments.

Role Description Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis. You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS. Outcomes - Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact - Deliver buying models that maintain positive ROAS and quality - Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth - Establish trusted, direct partnership with vertical business stakeholders - Produce trusted output: validated, documented, low correction burden - Identify and leverage net-new modeling opportunities the business has not flagged Qualifications - Proven experience in digital marketing, performance marketing, or the leadgen industry - Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired) - Strong modeling fundamentals: the ability to build effective models that drive business impact - Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud - Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling - Expert Python and SQL Requirements - 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact. Nice to Haves - Sophisticated ML at companies where paid digital media is core to the business model - Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models - Insurance domain experience - Creating state-of-the-art Ad Ranking algorithms - Modeling against ad-platform data points (Google, Meta, native) - LLMs / deep learning applied to personalization or content - Familiarity with Looker Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Company Description Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.