• Work on the latest applications of data science to solve business problems • Work directly with client stakeholders to translate business problems into high level analytics solution designs • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value • Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably • Design and develop **machine learning and Generative AI solutions** using Databricks and Azure AI services. • Build **LLM-powered applications** and orchestrate workflows using **LangGraph** • Develop **agentic AI workflows** for automation, insights generation, and decision support • Implement **Document Intelligence solutions** for extracting insights from unstructured data • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution

• Review and refine AI-generated analytics strategies, dashboards, reports, and insights • Assess the accuracy, relevance, and value of AI-driven analytics outputs • Develop real-world case studies and scenarios based on your analytics leadership experience • Create scenario variations that represent various industries, data contexts, and business objectives • Identify gaps or inaccuracies in AI-generated analytics content and provide clear, structured, actionable feedback • Guide AI models to better understand advanced analytics concepts, methodologies, and best practices

Senior Data Scientist Location: Remote Job Description: Job#: 3034655 Employment Type: Contract Duration: 7 months Role Overview We are seeking a skilled Senior Data Scientist to support the development and optimization of advanced machine learning models focused on large-scale text analysis. This role offers the opportunity to work on impactful, real-world applications in a collaborative environment. This is a contract-to-hire opportunity, and candidates must be eligible for full-time conversion. Key Responsibilities - Train, fine-tune, and evaluate deep learning models, with a focus on NLP and transformer-based architectures. - Process, clean, and analyze large-scale structured and unstructured text datasets. - Troubleshoot model performance, optimize hyperparameters, and improve training pipelines. - Run experiments and clearly document findings, results, and recommendations. - Deploy and maintain models within a cloud-based (AWS) environment using established workflows. - Collaborate with technical leads and cross-functional stakeholders while operating independently on day-to-day execution. Required Qualifications - Python programming experience, including hands-on work with PyTorch and transformer-based models. - Experience building, training, and debugging deep learning models for text-based applications. - Understanding of machine learning fundamentals, statistics, and exploratory data analysis. - Experience working in AWS environments and using GitHub-based workflows. - Communication skills and ability to operate independently. Preferred Qualifications - Experience with large language models (LLMs), prompt engineering, or emerging AI approaches. - Familiarity with PySpark or large-scale data processing frameworks. - Experience with MLOps tools and experiment tracking platforms. - Exposure to healthcare, life sciences, or other regulated environments. Compensation & Benefits The pay rate for this position is between $65.00 and $70.00 per hour. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and experience. This employer is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide. Employee Type: Contract Remote: Yes Pay Range: $65 - $70 per hour

Title: Principal Applied Data Scientist - Search and Browse (NLP, Vector Search, LLMs) Location: Sunnyvale, CA Brooklyn Park, MN US Job Description: Target Tech Full-time $168,000 - $356,000 USD annually Job Id: R0000438138 This job is also available for the following locations - 7000 Target Pkwy N, Brooklyn Park, MN The pay range is $168,000.00 - $356,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.  JOIN TARGET AS A PRINCIPAL DATA SCIENTIST – SEARCH AND BROWSE About Us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. A role with Applied Data Sciences team at Target means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Search, RecSys, Supply Chain Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target’s culture and apply retail domain knowledge. About our Search and Browse team: The Search and Browse Applied Data Science team builds the foundational relevance, retrieval, ranking, and personalized search systems that power Target’s Digital experience at scale. We are defining the future of AI-native commerce discovery across Search, Browse and emerging conversational shopping experiences. E-commerce Search is undergoing a massive transformation, and we are building the architecture to lead it. We are solving some of the hardest problems in retail AI at a $10B+ commercial scale and 10K+ QPS, including: - Architecting search and data systems for external LLM ingestion so our catalog wins in ChatGPT, Gemini, agentic commerce, and the next generation of AI-native discovery experiences - Building zero-shot and cold-start discovery systems for rapidly changing, seasonal retail inventory - Solving natural language and long-tail search problems where conversational queries and traditional retrieval systems break against massive unstructured product catalogs - Evolving multi-stage retrieval and ranking architectures that balance relevance quality, latency, scalability, and infrastructure efficiency at enterprise scale We are looking for pragmatic builders and technical leaders who thrive on shipping production systems at scale. Engineering excellence, sub-second latency, operational reliability, infrastructure economics, and seamless integration with core Retrieval and Ranking systems matter just as much as modeling sophistication. This role requires deep technical expertise, exceptional product judgment, and the ability to influence organizational strategy while driving measurable customer and business impact As a Principal Data Scientist – Search and Browse you’ll: - Define the long-term technical vision and organizational roadmap for Search, Browse, and AI-driven discovery systems - Lead architecture strategy for large-scale retrieval, ranking, semantic search, and GenAI systems operating at massive scale - Drive innovation across transformers, LLMs, RAG architectures, multi-stage ranking systems, personalization, conversational commerce, and agentic AI - Architect search and retrieval systems for external LLM and agentic search ecosystem integration - Define the future evolution of semantic retrieval, conversational search, and zero-shot discovery systems - Influence organization-wide strategy across relevance, experimentation, evaluation, ML infrastructure, and AI product investments - Lead highly ambiguous, multi-quarter initiatives involving Product, Engineering, Applied Science, Infrastructure, and executive stakeholders - Establish scalable ML architecture patterns, experimentation standards, and operational best practices across multiple teams - Drive foundational investments and technical direction across Search, Retrieval Infrastructure, and AI-powered discovery platforms - Balance customer experience, business impact, system reliability, latency, scalability, and infrastructure cost at enterprise scale - Mentor Lead scientists and technical leaders across the organization - Represent the organization in executive reviews and drive alignment on major technical and product decisions - Influence technical direction and investment priorities across multiple teams and organizations Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. About you: - PhD or MS in Computer Science, Statistics, Applied Mathematics, Physics or related quantitative discipline - 8+ years of industry experience building and scaling ML systems for Search, Recommendation, Personalization, Ads, or AI platforms - Strong experience with semantic retrieval, vector search, RAG systems, conversational search or agentic AI systems - Deep expertise in retrieval/ranking architectures, recommendation systems, semantic search, NLP/LLMs, experimentation and ML infrastructure (VertexAI) - Demonstrated Python programming and technical ML problem-solving skills - Proven experience defining architecture and long-term strategy for large-scale production AI systems - Experience operating large-scale online systems with strict latency, scalability, reliability, and infrastructure cost requirements - Strong understanding of retrieval/ranking system tradeoffs, experimentation strategy, and operational excellence - Strong track record driving measurable business impact through ML innovation - Experience leading cross-functional initiatives spanning multiple teams or organizations - Ability to influence executive stakeholders and drive organizational technical direction - Exceptional communication, technical leadership, strategic thinking, and mentoring skills This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ in Sunnyvale, CA or MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota. Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.