About the Role Fetch is looking for a Data Science Manager to lead a team of data scientists and analysts focused on high-impact product and business problems across the consumer app experience. In this role, you will serve as the data lead for a pillar, partnering closely with Product and Engineering to shape priorities, guide technical strategy, and ensure the team is delivering meaningful business outcomes. This is a hands-on leadership role for someone who can operate strategically and technically. You will help the team navigate ambiguity, break down broad problem spaces into clear analytical approaches, and drive high-quality work that informs product direction. You should be comfortable coaching data scientists on experimentation, modeling, and stakeholder communication, while also evaluating technical proposals and presenting recommendations to senior leadership. The ideal candidate brings strong people leadership, deep data science expertise, and the ability to influence cross-functional partners at a high level. This person will play a key role in helping Fetch continue to build a strong, high-impact generalist data science organization. What you’ll do at Fetch: Team Leadership & Development - Lead, coach, and develop a team of data scientists focused on high-impact product and business opportunities. - Provide clear feedback, support career growth, and create an environment that enables strong performance, healthy team dynamics, and continued development. - Support hiring, onboarding, and team growth while contributing to the broader evolution of Fetch’s data science organization. Strategic Direction & Business Impact - Serve as the data lead for a product pillar, partnering closely with Product and Engineering to shape priorities and influence strategic direction. - Translate ambiguous business and product questions into clear analytical roadmaps that drive measurable impact across user growth, customer value, revenue, and product performance. - Ensure the team’s work is aligned to broader business goals and meaningfully informs product roadmap decisions. Technical Leadership & Experimentation - Guide the team in experimentation, measurement, statistical analysis, causal inference, and predictive modeling with a high bar for rigor and practical application. - Evaluate analytical strategies, technical proposals, and team outputs to ensure work is high quality, actionable, and grounded in strong scientific thinking. - Help break down broad problem spaces into clear technical approaches and support execution from concept through impact. Cross-Functional Collaboration & Influence - Partner closely with Product, Engineering, Analytics, Marketing, and business leaders to turn insights into decisions, systems, and shipped outcomes. - Communicate findings, recommendations, and tradeoffs clearly to senior and executive leadership to influence direction and drive alignment. - Create clarity in ambiguous, fast-moving environments by setting priorities, managing dependencies, and protecting the team from unnecessary thrash. Operational Excellence - Establish strong standards for quality, prioritization, and execution across the team’s work. - Balance speed and rigor by making thoughtful tradeoffs that maintain momentum while protecting scientific quality. - Contribute to a strong generalist data science organization through improvements to team operations, planning, and ways of working. Minimum Requirements: - 6+ years of experience in data science, applied analytics, or a related quantitative field. - 1+ year of direct people management experience leading data scientists or other quantitative practitioners. - Hands-on experience in experimentation, statistical analysis, causal inference, measurement, and predictive modeling. - Proven ability to partner cross-functionally with Product and Engineering to define priorities and translate ambiguous business problems into clear analytical approaches. - Demonstrated ability to connect technical work to measurable business outcomes such as revenue growth, user growth, engagement, retention, or customer value. - Experience evaluating analytical approaches, guiding technical strategy, and driving high-quality, actionable outputs. - Strong written and verbal communication skills, including experience presenting findings and recommendations to senior stakeholders. - Proficiency in SQL, Python, and modern data science workflows. Preferred Requirements: - Experience leading data scientists in a consumer product, marketplace, or growth-focused environment. - 2+ years of people management experience. - Experience serving as the primary data lead for a product area, product pillar, or business domain. - Track record of influencing product strategy and roadmap decisions through data-driven recommendations. - Experience operating effectively in highly ambiguous environments and creating structure, focus, and clarity for teams. - MBA, consulting background, or comparable experience driving strategic decision-making across cross-functional stakeholders. - Prior hands-on experience as a data scientist, with a strong preference for candidates who have directly led data science work. - Experience mentoring generalist data science teams across a broad range of product and business problem spaces. This is a full-time role that can be held from one of our US offices or remotely in the United States. Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.

• Developing machine learning models using natural language process that will be integrated into automated processes. • Building and training models, deploying model pipelines, and implementing algorithms to extract insights from unstructured data. • Troubleshooting and providing technical solutions to resolve issues. • Utilizing Python, SQL, and NLP/machine learning technologies to perform conversational analytics. • Analyzing structured and unstructured data and building predictive models using various approaches. • Searching through large data sets and transforming data for analysis. • Creating reports and presentations to translate complex analytical results into business impacts for executive leaders. • Documenting and maintaining codebase standards, contributing to ongoing quality and reliability improvements.

Role Description Brainspring Learning Centers (Brainspring.com), the leaders in Structured Literacy, is seeking motivated, dedicated, enthusiastic people who are passionate about making a difference. We are expanding our community of expert reading tutors with the goal of delivering high quality virtual instruction to students and families nationwide. Why Join the Brainspring Team? - Free Professional Development - Competitive Pay - Flexible Scheduling - Bonus Incentives for Recruiting Students - Opportunities for Advancement Brainspring Tutors can complete the Orton-Gillingham Dyslexia Specialist Certification practicum free of charge ($4,000 approx. value) while tutoring. Our Phonics First® programs are accredited through both the IDA (International Dyslexia Association) under their Knowledge and Practice Standards for Teachers of Reading and through IMSLEC (International Multisensory Structured Language Education Council) at their Teaching Level and Instructor of Teaching Level. Up to 4 grad credits are available for purchase upon the successful completion of the certification practicum. Qualifications - Bachelor's degree (Education related preferred) - Weekday tutoring availability, particularly during after-school hours - Completion of Brainspring's Phonics First® or Structures® course within the last year or a certified Orton-Gillingham Dyslexia Specialist Requirements - All candidates are subject to a background check. Compensation - $30+/hr based on education, experience and availability Full-Time/Part-Time - Independent Contractor

Your role at DynatraceDynatrace makes it easy and simple to monitor and run the most complex, hyper-scale multicloud systems. Dynatrace is a full stack and completely automated monitoring solution that can trackevery user, every transaction, across every application. Our team is looking for a Lead Data Scientist specialized in Large Language Models (LLMs) to design, build, and scale generative AI capabilities for real-world, enterprise-grade use cases. In this hands-on technical leadership role, you’ll own the end-to-end LLM stack, from data/knowledge, Ingestion and retrieval to prompt and tool-use architecture, evaluation frameworks,safety/guardrails, and cost/latency optimization. Your Tasks • Own the LLM system architecture: Retrieval pipelines, prompt/tool design, routing/fallbacks, safety layers, and telemetry, optimized for quality, latency, and cost. • Establish technical standards for RAG: content ingestion, chunking/windowing, hybrid retrieval, reranking, query understanding, and structured output contracts. • Define evaluation strategy: Create a rigorous eval suite covering answer correctness, attribution/grounding, toxicity/safety, privacy leakage, determinism, latency, and cost. • Formalize LLMOps: Versioning for prompts/datasets/models, experiment governance, prompt and dataset registries, and promotion criteria from dev - staging - prod. • Drive tool/agent design: API schema design for function calling, error handling, recovery strategies, self-correction, and guardrail integration. • Make build-vs-buy calls: Weigh managed providers vs. open-source/self-hosted, considering performance, cost, IP, privacy, and compliance. • Mentoring: Provide deep technical mentorship on prompting, retrieval design, evals, and safe deployment; lead reviews of prompts, pipelines, and evaluation reports. Hands-on Data Science • Implement end-to-end RAG systems: ingestion - chunking - embeddings - hybrid search - rerank - prompt assembly - tool calls - post-processing. • Engineer robust prompts/tools: reusable templates, multi-turn strategies, structured outputs via JSON Schema/Pydantic. • Select/tune models: foundation models, embeddings, rerankers; apply LoRA/PEFT or distillation when justified. • Build eval corpora: golden sets, KPIs for accuracy, groundedness, deflection, tool success. • Implement guardrails: PII/PHI detection, policy prompts, jailbreak resistance, filters, safety scorecards. • Productionize: ship resilient services with analytics, alerts (drift, quality, cost), SLOs, etc. • Optimize for scale: token, latency, cost; caching, context packing, batching, speculative decoding, routing by intent What will help you succeedMinimum requirements: • Advanced CS/AI/ML degree or equivalent, strong ML background. • 7+ years DS/ML, 3+ years NLP /LLMs, shipped production systems. • Python and core ML stack: 5+ years of professional Python. • Data engineering for unstructured data (3+ years): text processing, parsing, embedding- friendly preprocessing. • Proven RAG expertise (1+ years): embeddings, retrieval, reranking, chunking. • Evaluation depth (1+ years): offline/online evals for accuracy, grounding, safety. • Safety/privacy (1+ years): moderation, PII/PHI redaction, policy enforcement. • LLMOps (1+ years): prompt/version management, experiment tracking, monitoring. • Excellent communication: explain trade-offs, drive data decisions. Desirable experiance: • Serving/scaling: vLLM/TGI, Ray Serve, Triton; GPU/CPU trade-offs. • Tuning/distillation: LoRA/PEFT, safety alignment, synthetic data. • Domain: observability, support systems, multilingual, regulated environments. • Cloud/security: Snowflake/AWS, managed vs self-hosted. • Experience with graph-based knowledge bases (e.g., GraphDB, Neo4j) and knowledge graphs to complement RAG systems with entity modeling and relationship-aware retrieval. Why you will love being a Dynatracer• Working models that offer you the flexibility you need, ranging from full remote options to hybrid ones combining home and in-office work • A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries • An environment that fosters innovation enables creative collaboration and allows you to grow • A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals • A truly international mindset with Dynatracers from different countries and cultures all over the world, and English as the corporate language that connects us all • A culture that is being shaped by our global team’s diverse personalities, expertise, and backgrounds • A relocation team that is eager to help you start your journey to a new country, always there to support and by your side. If you need to relocate for a position you’re applying for, we offer you a relocation allowance and support with your visa, work permit,accommodation .