• Leads a team of Digital Analysts in the translation of business requirements into technical deliverables • Develops relevant processes, procedures, and standards within an analytics environment • Supports Client Management and Analytics Execution teams in gathering and understanding web analytics needs and requirements • Develops strategies and plans for supporting the achievement of business objectives • As subject matter expert in Web Analytics, develops and recommends solutions and approaches • Guides other Solution Delivery team members in performing technical and/or administrative duties

• Design agentic workflows for tax processes, including task-level agent responsibilities, agent-to-agent communication patterns, human-in-the-loop and escalation models, feedback loops and agent performance monitoring and evaluations. • Define reusable agent blueprints aligned to Lean-derived task definitions. • Apply leading edge agentic driven design and build methodologies. • Design and oversee the build of AI-ready data marts that expose tax data at the right grain, maintain lineage and quality controls, and support reasoning. • Lead data ingestion and transformation from ERP systems, tax platforms, semi-structured documents, external data sources. • Apply design led thinking to embed agent and workflow governance and security. • Architect solutions deployable within client environments and EY-hosted platforms. • Act as technical authority within the CoE, developing reference architectures, patterns, and accelerators.

🚀 Join the Future of Commerce with Whatnot!Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. 💻 Role As Whatnot rapidly scales, data is central to shaping our product strategy and helping us build delightful, high-performing experiences for both buyers and sellers. We’re looking for a Product Data Scientist who will partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company. In this role, you will: 🔍 Generate Insights & Shape Product Direction - Define and own the KPIs that measure product health, user engagement, and marketplace performance. - Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities. - Translate complex data into actionable recommendations for product and leadership teams. 🧪 Drive Experimentation & Measurement - Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts. - Develop frameworks for causal inference, impact measurement, and long-term product evaluation. - Build scalable methodologies to understand feature performance and guide iteration. 🛠 Build Data Products & Tools - Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot. - Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features. 🤝 Lead Cross-Functional Collaboration - Advocate for data-driven decision-making and foster a culture of measurement across the product organization. - Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions. - Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform. US Based: We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs. 👋 You People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it. As our next Product Data Scientist, you bring: 🎓 Experience & Expertise - 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization. - A bachelor’s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience. - Proven experience applying statistical and analytical methods to real-world product problems. 🧠 Technical Skills - Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT. - Proficiency with Python or R for data analysis, modeling, and experimentation. - Experience designing and analyzing A/B tests and understanding causal inference techniques. - Strong data visualization skills and familiarity with BI tools for building interactive dashboards. 🗣 Collaboration & Leadership - Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders. - Experience leading cross-functional projects and influencing product strategy with data. - Comfortable working in fast-paced, ambiguous environments with a high degree of ownership. 💰CompensationFor Full-Time (Salary) US based applicants: $185,000/year to $240,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits - Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) - Health Insurance options including Medical, Dental, Vision - Work From Home Support - Home office setup allowance - Monthly allowance for cell phone and internet - Care benefits - Monthly allowance for wellness - Annual allowance towards Childcare - Lifetime benefit for family planning, such as adoption or fertility expenses - Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally - Monthly allowance to dogfood the app - All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). - Parental Leave - 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOEWhatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Role Description TEKsystems is partnered with a software company in Raleigh that needs to hire a Senior Data Scientist for their flagship product, a leading global provider of information and analytics. Recently our client has focused on a generative AI solution designed to transform legal work. Their product delivers trusted results in a familiar, easy-to-use interface with linked hallucination-free legal citations that combine the power of generative AI with proprietary search technology, Shepard’s® Citations functionality, and authoritative content. This role leads the design and development of an advanced multi-agent AI platform that powers intelligent research, drafting, and reasoning capabilities for large-scale enterprise knowledge environments. You will architect agent frameworks, optimize retrieval-augmented generation pipelines, fine-tune language models, and build the infrastructure that enables AI systems to collaborate, plan, and execute complex tasks reliably. The work directly shapes the next generation of AI-driven professional tools used by experts in high-stakes domains. Core Responsibilities - Architect and implement multi-agent systems capable of planning, tool use, and coordinated task execution. - Design and optimize RAG pipelines including embeddings, hybrid retrieval, reranking, and context-window strategies. - Fine-tune and evaluate small, medium, and large language models for domain-specific reasoning and summarization. - Develop prompt engineering frameworks, guardrails, and automated evaluation suites for agent reliability. - Build scalable ML services and APIs for production deployment in distributed environments. - Collaborate with product, engineering, and domain experts to translate complex workflows into agentic AI solutions. - Establish best practices for model evaluation, observability, safety, and compliance. - Mentor DS/ML engineers and contribute to long-term AI strategy and architecture. Qualifications - 6–12+ years in Data Science / ML Engineering, with 2 years in LLM-based systems. - Proven experience building agentic architectures (planner-executor, tool-use agents, ReAct-style reasoning). - Strong background in RAG, embeddings, retrieval optimization, and evaluation. - Expertise in NLP, transformers, deep learning, and model fine-tuning. - Proficiency with PyTorch, HuggingFace, LangChain/LlamaIndex, Ray, Kubernetes, and vector databases. - Experience designing production-grade ML systems with monitoring, evaluation, and observability. - Strong communication skills and ability to lead technical direction. Preferred Qualifications - Experience in enterprise search, knowledge management, or high-compliance domains. - Experience with model distillation, LoRA/QLoRA, PEFT, and model compression. - Experience building evaluation frameworks for hallucination, grounding, and agent reliability. - Familiarity with knowledge graphs, symbolic reasoning, or hybrid neuro-symbolic systems. - Publications, patents, or open-source contributions in LLMs or agent systems. - Strong coding skills in Python (7+ years). - Be a natural problem solver, able to take a lead in collaborating to resolve issues. - Proficiency in IDE debugging: VSCODE and PYCHARM. - 7+ years of experience in AI and machine learning. - Deep understanding of machine learning algorithms, classification models, diagnostic testing of models. - Experience working directly with Transformer-based architectures including BERT, RoBERTa, T5, etc., and familiarity with large language models and fine-tuning. - Experience with conversational search/semantic search, reinforcement learning, prompt engineering, hallucination mitigation. - Working understanding of the business risks associated with applying LLM (LangChain) in a business. - Experience working with AWS, RAG, SageMaker, SQL. Skills - Data science - NLP - Indexing - Semantic search - Conversational search - LangChain - Generative AI - Large language model - SQL - AWS - Algorithm - Artificial intelligence - Retrieval augmented generation - Fine-tuning - Python - Machine learning - Cloud computing Job Type & Location This is a Contract to Hire position based out of Cary, NC. Pay and Benefits The pay range for this position is $50.00 - $85.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Jul 13, 2026.