We are seeking an expert Data Scientist in the United States with 5+ years of experience in linear programming. The ideal candidate will have a strong background in data analysis and machine learning, with the ability to optimize complex systems using linear programming techniques. Responsibilities include developing and implementing data-driven solutions, collaborating with cross-functional teams, and providing insights to drive business decisions. TeamBuilder is a rapidly growing healthcare SaaS company on a mission to transform healthcare with our innovative technology. We believe in empowering our customers through inventive solutions and a commitment to excellence. Our young, rapidly growing team is looking for passionate professionals who thrive in a dynamic, innovative, and collaborative environment. ***This role is FULLY REMOTE, though you MUST reside within the United States and be legally authorized to work in the United States. The Role TeamBuilder builds software for ambulatory healthcare operations. The problem is simple: turn messy healthcare data into actions. This role sits between data, forecasting models, and optimization. You own forecasts end to end and work directly with the optimization layer. Shape inputs, validate outputs, and turn results into something operators can use. What You’ll Do  Forecasting model ownership o Build and iterate production grade demand and volume forecasts o Evaluate models with backtesting and real-world performance o Maintain stability with retraining, drift monitoring, and failure handling o Improve models based on operational outcomes  Sit at intersection of data and optimization o Define input data contracts for optimization models including capacity, constraints, and demand o Transform raw data into model-ready features and constraints o Validate solver outputs and identify infeasibility, constraint conflicts, and scaling issues o Trace issues back to data assumptions and constraint design o Convert outputs into usable schedules and recommendations  Model + system validation o Compare model output to operational reality and explain gaps o Run scenario analyses under different constraints o Improve pipelines that support forecasting and optimization quality o Test assumptions against real-world variation  Communication / translation o Explain models and outputs to non-technical users including operators and clients o Translate tradeoffs between accuracy, feasibility, and constraints o Deliver clear recommendations tied to business outcomes o Participate in client conversations and defend model behavior What We’re Looking For Qualifications  5+ years in data science or applied analytics  Experience owning forecasting models in production  Strong Python and SQL, comfortable with large datasets  Experience working with messy data  Ability to explain technical work clearly to non-technical users Preferred Skills  Experience in healthcare or complex operational environments such as staffing or capacity planning  Experience with capacity-constrained systems  Familiarity with solvers such as Gurobi Why You’ll Love Working Here  Mission-driven team tackling real healthcare challenges.  Freedom to experiment and innovate without layers of bureaucracy.  Opportunity to shape the company’s data science culture and R&D direction.  Flexible work environment and supportive, intellectually curious teammates. Additional Information  Job Type: Contracted, Part-Time/Full-Time, Remote  Compensation: Hourly, project-based. Potential to go Full-Time.  Culture: We foster a collaborative, engaging, mission-driven culture that values innovation and prioritizes customer success.

Hi, we have an existing business that uses expert reviewers to review college applications (common app, transcripts, test scores, essays) and write a freeform critique. We have 944 applications and 1,035 reviews in a Mysql database. We are working on bringing in another 719 aplications and 1,593 critiques. What is in an application is public domain, and our critiques are a minimum of 300 words. We intend to use RAG technology to create an AI version of the business that can create critiques for new applications. We need a data scientist to spend a couple of weeks to: - Review our data - Quantitatively assess our data and the feasibility that it can generate a RAG based solution that works (similar to old fashioned sample analysis in regular statistics) - Give us an assessment of the viability of creating AI critique outputs - Possibly suggest suplemental or alternative methods to RAG systems This is not a development or build - it is an analysis phase. If the math shows this is a viable track, we could also contract for the development phase. Let us know what you think about this in terms of: - have you done this before? - how many hours would it take you to do this? - could you take on the development in a later stage as well? Cheers, BKW

We are building a remote team of qualified professionals to support a range of AI training, evaluation, data annotation, and research-related projects. We are interested in candidates who already have experience working on AI training projects, including: - Evaluating and comparing AI-generated responses - Reviewing content for accuracy, relevance, reasoning, and clarity - Data annotation, classification, and quality assurance - Writing prompts and improving model responses - Fact-checking and research - Coding, mathematics, finance, science, healthcare, or other specialized evaluation tasks - LLM evaluation, prompt engineering, RAG, or related AI workflows Previous AI training experience is preferred but not required. Candidates without direct experience may receive guidance from our team regarding project expectations, quality standards, and effective task-completion practices. Responsibilities - Complete AI training, evaluation, annotation, or research assignments - Carefully follow project-specific instructions and quality standards - Review AI-generated content and provide accurate, well-reasoned feedback - Meet agreed deadlines and communicate clearly with the team - Maintain confidentiality and handle project information responsibly - Complete any required onboarding, qualification assessments, or identity verification independently - Use and maintain your own verified accounts when required by a project or third-party platform Requirements - Bachelor’s or master’s degree from an accredited institution - U.S. citizen or otherwise legally authorized to work as an independent contractor in the United States - Strong written English and attention to detail - Good analytical, research, and critical-thinking skills - Ability to work independently in a fully remote environment - Reliable computer and internet connection - Willingness to complete qualification assessments and onboarding requirements - Commitment to complying with all applicable platform rules, confidentiality requirements, and U.S. laws Important Account and Compliance Notice Each freelancer must create, verify, control, and maintain their own accounts for any third-party platforms used during the engagement. Account sharing, credential sharing, impersonation, or allowing another person to complete work through your account is not permitted. Our team may provide general training and project guidance, but every freelancer remains responsible for personally completing their assigned work and complying with the applicable platform’s terms and policies. Engagement Details Work arrangement: Fully remote Employment type: Freelance / independent contractor Schedule: Flexible and project-based Project duration: Potential for ongoing assignments Compensation: Budget and payment structure will be discussed based on the candidate’s qualifications, subject-matter expertise, project type, and expected workload How to Apply Please include the following in your proposal: 1. Your highest completed degree and field of study 2. Your current U.S. work-authorization status 3. Any previous AI training, data annotation, model evaluation, research, or quality-assurance experience 4. Your areas of professional or academic expertise 5. Your weekly availability 6. A brief explanation of why you would be a strong fit for detail-oriented AI evaluation work We welcome applications from experienced AI contributors as well as highly qualified professionals who are new to AI training projects and willing to learn.

We are seeking a skilled Trend Prediction and Forecast Analytics Specialist to analyze market trends and predict future outcomes. The ideal candidate will have experience in data analysis and be proficient in using analytics tools to identify trends and forecast market changes. Responsibilities include analyzing data sets, identifying patterns, and providing actionable insights to inform business decisions.

WHO WE ARE: Teton Ridge is a visionary force in Western sports, entertainment, media, lifestyle, and equine culture, dedicated to growing the world of the American West to new fans. Our content and events engage a broad community of fans while preserving the traditions and legacy of the American West. From large-scale events like The American Rodeo and The Performance Horseman to The Cowboy Channel, short films, digital and print media, and social-first content, Teton Ridge tells the stories of the rich culture of the American West. Join us in shaping the future of Western sports and entertainment! POSITION OVERVIEW: This contractor will serve as the primary data analytics and engineering resource for Teton Ridge during a planned maternity leave. The role covers day-to-day data pipeline maintenance, executive reporting, and ongoing infrastructure projects across the company.

We are a research group at Stanford University studying human workflows. We are seeking a freelance Software Engineers (SWEs). Data Scientists, AI Specialists, and Forward Deployed Engineers (FDEs) who commonly use AI tools for coding. The project involves completing a coding task or data analysis task(s) (~1 hr each) while using an open-source recording tool to capture your computer-use activities. If you have experience with completing coding projects with Claude Code or Codex and are comfortable using recording software, we encourage you to apply. Please briefly describe which of these two common AI tools that you would use for the task.

About Us We are an early-stage AI startup developing machine learning models that predict how different populations perceive and respond to fragrances and scented consumer products. Our goal is to combine chemistry, human sensory data, and artificial intelligence to help consumer goods companies better understand consumer preferences, accelerate product development, and make more informed formulation decisions before extensive physical testing. We work at the intersection of machine learning, computational chemistry, human perception, and behavioral science, tackling problems that require both strong engineering and scientific reasoning. About the Project We are currently working on a fast-paced project for a global consumer products company and are looking for an experienced ML engineer to join us for an initial two-week engagement. The work will involve building research prototypes, developing data pipelines, integrating scientific and chemical datasets, and helping create models that predict how different populations may respond to fragrance-related products. This is a highly collaborative role where you’ll work closely with our technical team to rapidly explore ideas, iterate on models, and solve challenging scientific problems. About the Role This is not a narrowly defined engineering position. As an early-stage startup, we’re looking for someone who is comfortable wearing multiple hats and contributing wherever they’re most valuable. Depending on the project, you may be involved in data scraping and preprocessing, scientific data integration, model implementation, feature engineering, exploratory analysis, and building tools to support ongoing research. Strong Python skills are essential, and experience with machine learning is expected. Do not apply to this role if you have no knowledge on neuroscience or chemistry.