Biostatistician jobs near me - 484 jobs

Please no third party applicants A pharmaceutical company is looking for a Senior Biostatistician for a 6-month renewable project. This consultant must be very hands-on and have proven experience supporting regulatory submissions. In addition, they must possess strong programming skills (TLFs) and CDISC expertise. Strong communication is critical. EXPERIENCE & QUALIFICATIONS 8-10+ years of biostatistics experience in the pharmaceutical industry with recent Sponsor side experience Minimum of MS degree in Biostatistics/Statistics Must have recent hands-on statistical experience such as drafting SAPs and conducting programmatic TLF reviews Proven track record with regulatory submissions Ability to analyze data and provide guidance to the statistical programming team if needed Excellent communication skills to interpret and explain complex results to the study team LOCATION: Work will be performed remotely and prefer to accommodate PST core working hours.

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. Company and Position COMPANY: DataRobot Inc. POSITION: Senior Execution Data Scientist WORK LOCATION: 225 Franklin Street, Floor 13, Boston, MA, 02110 (Employee may telecommute from anywhere in the US) Responsibilities Develop and execute end-to-end enterprise-grade AI solutions for DataRobot customers across a variety of industries. Develop sophisticated predictive models and AI algorithms and systems that generate significant business value to DataRobot customers and integrate those models into client environments. Serve as a Data Science technical expert representing DataRobot during customer engagements. Conduct proof-of-concept and proof-of-value trials. Guide and advise clients on evaluating success criteria. Carry out AI implementation and operationalization. Train end users. Solve complex data science problems by building end-to-end AI solutions using DataRobot including problem framing, data preparation, model building, model deployment, model management, output consumption and visualization. Provide data science knowledge and expertise as a trusted advisor to clients. Work side-by-side with Sales, Account Management, Customer Success, and Field Engineering teams to help DataRobot customers achieve their goals. Employee may telecommute from anywhere in the US. Minimum Requirements Bachelor's degree, or foreign equivalent, in Computer Science, Computer Engineering, Information Technology or a related technical field, and 6 years of experience as Data Scientist or related occupation; or in the alternative, Master's degree, or foreign equivalent and 3 years of experience as Data Scientist or related occupation 3 years of experience consulting with customers on end-to-end data science solutions 3 years of experience building and implementing machine learning or AI models into production Experience with each of the following: Machine learning and predictive modeling Building and implementing predictive models, data science, and complex statistical analysis Developing and executing end-to-end enterprise-grade AI solutions across a variety of industries Developing predictive models, AI algorithms, and systems to generate significant business insights Integrating predictive models and AI algorithms into client environments Building end-to-end AI solutions that include problem framing, data preparation, model building, model deployment, model management, output consumption, and visualization Experience requirements may have been satisfied concurrently. Terms of Employment Full time (40+ hours per week). $190,000-$232,750 per year. Benefits Choice of Medical plans, dental, vision, patient advocacy program, FSA, short- and long-term disability plans, Life and AD&D plans, EAP, voluntary benefits including Accident and Pet Insurance, Legal plan, flex paid time off, quarterly reboot days and paid parental leave. To Apply Submit an application to this Senior Execution Data Scientist position through the DataRobot Career Site. EEO and Privacy DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. #J-18808-Ljbffr

PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person's contributions and ideas are critical to the growth of the company. This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long‑term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high‑performing team - including sales, marketers, and financial services experts - who stay connected through Slack, video calls, and regular team and company‑wide meetings. We're a team that knows how to work hard, have fun, and make a meaningful impact-both together and individually. Job Summary We are looking for a Senior Data Scientist to lead the development of scalable Generative AI pipelines that process raw data and generate context‑aware results to power Plum's AI‑driven products. You will play a central role in shaping our GenAI platform, working across the full ML lifecycle-from ingestion and retrieval to generation, evaluation, and deployment. This role combines deep expertise in machine learning with hands‑on experience in building production‑grade systems. You'll collaborate closely with various cross‑functional teams and operate in a fast‑paced environment where innovation, autonomy, and ownership are key. Key Responsibilities Design and architect end‑to‑end Generative AI pipelines using LLMs to process and generate context‑aware results. Integrate open‑source and proprietary LLMs (e.g., GPT, LLaMA) via APIs and custom orchestration. Build and optimize workflows using frameworks such as LangChain Design and implement RAG (Retrieval‑Augmented Generation) architecture to inject relevant, contextual data into generation prompts. Develop robust methods to evaluate and compare LLM outputs based on relevance, personalization, and factual accuracy. Build automated and scalable LLM evaluation pipelines using embedding‑based similarity, scoring metrics, and human‑in‑the‑loop feedback. Implement monitoring, observability, and logging for GenAI workflows to ensure reliability in production. Collaborate with cross‑functional teams to integrate generative outputs into client‑facing applications. Master's degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience. 3+ years of experience developing and deploying machine learning pipelines in production. 1+ years of experience building Generative AI or LLM‑based applications. Strong programming skills in Python, with hands‑on experience in ML/AI frameworks (e.g., LangChain, Transformers, LLM APIs). Deep understanding of LLM evaluation, prompt engineering, and text generation quality metrics. Experience designing and implementing RAG architectures. Hands‑on experience with Databricks, MLflow, or similar platforms. Experience with cloud infrastructure (AWS preferred) and MLOps practices for deploying and maintaining models in production. Strong problem‑solving skills and ability to lead through ambiguity. Excellent communication and documentation habits. Preferred Qualifications Prior experience using Generative AI in Fintech, Sales Tech, or Marketing Tech domains. Experience with agentic frameworks such as LangGraph, AutoGPT, or CrewAI. Familiarity with fine‑tuning or custom instruction tuning of LLMs. Understanding of data privacy and compliance implications when working with client data and GenAI systems. Benefits and Compensation A fast‑paced, collaborative startup culture with high visibility. Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. Opportunity to make a meaningful impact in building a company and culture. Equity in a financial technology startup. Generous health, dental, and vision coverage for employees and family members + 401K. Eleven paid holidays and unlimited discretionary vacation days. Competitive compensation and bonus potential. #J-18808-Ljbffr

A pioneering AI supplier intelligence firm based in San Francisco is hiring a Data Scientist to engage and drive activity in a buyer-supplier marketplace. The ideal candidate will have 4-7 years of data science experience, strong skills in Python and SQL, and a passion for AI. This role involves developing AI features, analyzing supplier data, and shaping strategies across teams. The company offers competitive compensation, a remote-flexible culture, and a commitment to innovation. #J-18808-Ljbffr

A leading technology firm is seeking a Data Scientist to join their team in San Francisco, CA. In this remote position, you will leverage data to drive insights about products and customers, collaborate cross-functionally, and develop strategies to solve complex business challenges. Candidates must have at least 5 years of experience in Data Science, proficiency in SQL and programming languages, and familiarity with data visualization tools. This role offers competitive compensation based on geographic pay zones. #J-18808-Ljbffr

A mining technology firm is looking for a full-time Data Scientist. You will build predictive models and create data tools for mineral exploration. Responsibilities include developing proprietary software and integrating diverse geological data. Ideal candidates have extensive experience with Python and data science methods. The position is remote-first, welcoming applicants from various locations, with a preference for Western Australia. #J-18808-Ljbffr

A leading consulting firm in Washington, DC is seeking a Data Scientist to tackle public sector challenges using statistical programming and NLP. This fully remote role involves data preparation, model selection, and result visualization, requiring a Master's degree and at least four years of experience in relevant technologies. Competitive benefits, including bonuses and health care, are offered. #J-18808-Ljbffr

An innovative biotech company is seeking a Global Head of Data Science to lead biostatistics and data management for their clinical trials. This strategic leadership role involves developing data strategies to accelerate drug discovery and ensuring compliance with global regulatory standards. The ideal candidate holds a PhD and has over 10 years of experience in biostatistics and oncology trials, with a strong focus on leading high-performance teams. Join us in transforming cancer treatment with groundbreaking therapies. #J-18808-Ljbffr

A healthcare insurance company is looking for a Senior Responsible AI Data Scientist to champion the ethical development of AI solutions. Key responsibilities include supporting ethical standards in AI initiatives, collaborating with various teams, and driving R&D for innovative solutions. Candidates should have a background in quantitative fields and be proficient in Python and AI application development. This position is fully remote and offers competitive benefits. #J-18808-Ljbffr

A leading data analytics firm is looking for a Data Scientist for a 6-month remote contract, offering competitive pay of $50+/hour. The ideal candidate will hold a Ph.D. and possess over 3 years of experience in analytics, particularly in digital marketing and machine learning. Responsibilities include analyzing data with Python and SQL, managing quality data integration, and contributing to marketing mix models. This role is suited for those who thrive in a fast-paced, agile environment. #J-18808-Ljbffr

A leading data science firm is seeking a Data Scientist to enable deep media insights through advanced analytics. This remote position focuses on Market Mix Modeling, requiring a Ph.D. and 3+ years in data science. Responsibilities include performing hands-on coding, integrating data sources, and managing the data extraction process. The ideal candidate will have strong coding skills in Python, SQL, and BI tools like Tableau, plus experience with advertising analytics and machine learning. #J-18808-Ljbffr

A fast-growing tech company in San Francisco is seeking a Staff Data Scientist to drive the development of AI solutions optimizing procurement for enterprise clients. Responsibilities include leading data science initiatives, designing ML models, and collaborating with cross-functional teams. Candidates should have over 6 years of experience, strong technical skills in Python and SQL, and a relevant degree. This role offers a competitive salary and remote-first culture. #J-18808-Ljbffr

We're building the creative layer for modern communication. Every month, over a billion people make presentations - but the tools they use to make them haven't evolved in decades. We're changing that, using AI to disrupt a massive market. 📈 Millions of people rely on Gamma to create, teach, and persuade, creating more than 1 million gammas every day. 💻 We see Gamma as the next great workplace tool, combining viral B2C love with a massive B2B opportunity. We believe AI can be a true creative partner: one that understands context, clarity, and taste. 💸 We've reached a $2.1B valuation, crossed $100M in annual recurring revenue, and have been profitable since 2023. 💙 We're an imaginative, passionate team who takes our work seriously, but not ourselves. Our culture is warm, a little quirky, and fueled by curiosity. About the role You'll be our first Data Scientist, turning mountains of user data and AI outputs into insights that shape how millions of people create content. With 1 million+ AI-generated presentations and 5 million+ AI images created daily, you're sitting on a goldmine of signal. Your job is to find the patterns, measure what matters, and help us ship better features faster. This role combines the rigor of experimentation with the creativity of detective work. You'll design A/B tests that measure product impact, build dashboards that reveal how our AI models perform across different user segments, and investigate thorny questions like "What makes a good AI-generated presentation?" or "Why did this feature work differently for enterprise versus consumer users?" You'll partner closely with product, engineering, and design teams to define quality metrics, uncover edge cases, and guide decisions with data. You'll thrive here if you're curious, comfortable with ambiguity, and excited to figure out what questions to ask instead of just answering the ones given to you. You'll need strong statistical foundations, the ability to communicate complex ideas clearly, and a passion for understanding how AI products work in the real world. Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you'll do Design and analyze large-scale A/B tests and experiments with statistical rigor to measure product impact and guide decision‑making Build dashboards and metrics frameworks that help the team understand AI model performance, user behavior, and product health Dig into AI model outputs across different user cohorts to identify patterns, edge cases, and opportunities for improvement Partner with engineering and product teams to define quality metrics for AI‑generated content and user satisfaction Develop statistical models and frameworks that empower product teams to make data‑informed decisions independently Investigate complex questions about feature performance, user behavior, and what drives engagement with AI‑powered creation tools What you'll bring 3-5 years of experience as a data scientist, ideally in a product‑focused or consumer tech environment Strong statistical foundations with hands‑on experience designing and analyzing A/B tests and experiments Proficiency in Python for data analysis and SQL for querying large datasets Experience working with large‑scale data and building metrics frameworks from scratch Ability to communicate complex technical concepts to non‑technical stakeholders and influence product decisions Curious mindset and comfort with ambiguity-excited to figure out what questions to ask, not just answer the ones given to you Familiarity with machine learning concepts and evaluating model performance in production settings Experience working with AI/ML products, especially LLMs or generative AI applications Experience with modern data stack tools like dbt and Snowflake Compensation range Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above. If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people. You get energy from small teams doing big things. You love when design, code, and storytelling overlap. You default to action, even when the answer isn't clear yet. You value details, but know when to ship and move on. You bring both the spreadsheets and the sparkle, equal parts workhorse and unicorn. You believe AI should amplify creativity, not replace it. You know kindness and intensity are not opposites. You like working with people who care deeply: about their craft, their teammates, and the users on the other side of the screen. Who we are Gamma is full of imaginative, passionate people who take their work seriously but not themselves. The culture is warm, a little quirky, and fueled by curiosity. It's the kind of place where you'll debate a pixel on Monday, laugh over someone's keyboard setup on Tuesday, and ship something remarkable by Friday. We care about craft, move with intention, and don't mind getting a little scrappy. It's fast, creative, and occasionally chaotic - but that's what makes it interesting. Here's a bit about what it's like to work here, from people on the inside "quirky, inspiring, fun, a little wild in the best way" "You can have an idea and just run with it." "Everyone's talented and humble - the mix keeps you sharp." "We ship cool stuff, learn a ton, and laugh a lot doing it." Meet the team We're a team of dreamers and doers building in beautiful San Francisco 🌉 We're kabbadi enthusiasts, pickleballers, dog herders, woodworkers, keyboard nerds, potters, and more - and we can't wait to meet you! #J-18808-Ljbffr

A leading data and analytics firm is looking for a Data Scientist / Machine Learning Engineer to enhance their data infrastructure and collaborate with a dynamic team. This fully remote role seeks expertise in machine learning, deep learning, and proficiency in Python. Ideal candidates will design and implement advanced ML models and work closely with data and software teams. Benefits include paid time off, U.S. holidays, and career development opportunities. #J-18808-Ljbffr

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer‑centric solutions. Overview Come join our AI/ML and Data Science community at Credit Genie! We are seeking a technical Data Science leader with a solid background in analytics and the consumer risk domain who is excited about solving hard Data Science and analytics problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company's next generation of risk optimization strategies that will have a vast impact across underwriting, fraud prevention, and collections. These risk optimization strategies are central to our business and have a direct impact on our customers every day. You will design, execute, and evaluate experiments to drive continuous learning and improvement in our risk optimization processes. What You'll Do Leverage advanced analytics and machine learning models to optimize Credit Genie's risk strategies across credit, fraud, and collections Own the development and delivery of risk insights, driving data‑informed decisions that minimize losses while enabling sustainable business growth Monitor and analyze key risk KPIs, identify emerging loss trends, and propose strategy enhancements to continuously improve approval and portfolio performance Collaborate cross‑functionally with Product, Engineering, Data, and Machine Learning teams to align on shared objectives, provide strategic insights, and deliver actionable solutions Act as a strategic risk advisor to business stakeholders, translating complex analyses into clear, high‑impact recommendations Tackle ambiguous, high‑impact problems with creativity and analytical rigor, developing novel solutions that directly improve customer experience and portfolio outcomes Requirements A Bachelor's degree in Statistics, Mathematics, Business, Economics, or related fields; an advanced degree is preferred 8+ years of experience analyzing data using SQL or Python. Proficiency in Python for data processing and modeling is preferred Hands‑on experience in risk strategy within payments, lending, banking, or financial institutions is a plus Proven ability to design, execute, and interpret experiments (e.g. A/B testing or causal analysis) to measure impact and inform risk strategy Exceptional problem‑solving abilities, analytical rigor, and the ability to translate complex findings into actionable insights for non‑technical audiences Strong organizational skills with the ability to manage multiple projects in a fast‑paced environment and meet tight deadlines Experience with SQL and data platforms such as Snowflake, Databricks, and Tableau Benefits and Perks Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. 100% company‑paid medical, dental, and vision coverage for you and your dependents on your first day of employment. Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness 401(k) with a 2.5% match and immediate vesting Meal program for breakfast, lunch, and dinner Life and accidental insurance Flexible PTO Your actual level and base salary will be determined on a case‑by‑case basis and may vary based on the following considerations: job‑related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview. #J-18808-Ljbffr

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart‑sensor systems to high‑performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. What We Value: Integrity, Humility, Happiness What We Expect: Initiative, Collaboration, Completion Role: You will be joining the data science team that is focused on model optimization, will research, prototype, and validate low‑precision techniques that make neural networks leaner and faster on the ChimeraGPNPU. Your analyses will set the quantization recipes that ship in the ChimeraSDK and influence future hardware features. Responsibilities: Design statistically rigorous experiments to compare PTQ, QAT, pruning, and mixed‑precision schemes on vision, language, and multimodal models. Build calibration datasets; develop Python notebooks/dashboards to track accuracy, latency, power, and memory trade‑offs. Perform layer‑ and token‑level error analysis to guide numerical‑format choices. Partner with compiler team to convert your findings into turnkey SDK flows and reference configs. Publish internal whitepapers, external benchmarks, and present results to customers and at industry events. Monitor academic literature in compression and efficient inference; translate promising ideas into reproducible prototypes. Qualifications: M.S./Ph.D. in CS, EE, Applied Math, or similar, with5+years in ML model optimization or data‑science‑driven research. Deep grasp of fixed‑point arithmetic, quantization theory, and statistical calibration. Fluent in Python, PyTorch or TensorFlow, NumPy/Pandas/SciPy, and data‑viz tools (Matplotlib/Plotly). Hands‑on with at least one quantization toolkit (PyTorchFX/PTQ/QAT, TF‑Lite, ONNX‑Runtime, TVM, MLIRQuant). Working knowledge of CNNs, Transformers and DNN architectures. Benefits: Provide competitive salaries and meaningful equity. Health Care Plan (Medical, Dental & Vision). Retirement Plan (401k, IRA). Life Insurance (Basic, Voluntary & AD&D). Paid Time Off (Vacation, Sick & Public Holidays). Family Leave (Maternity, Paternity). Work From Home. Free Food & Snacks. Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real‑time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co‑founded by technologists from MIT and Carnegie Mellon, who were previously the technical co‑founders of the Bitcoin computing company 21. Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability. #J-18808-Ljbffr

Join the Tilt team At Tilt (formerly Empower), we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond outdated credit scores, using over 250 real-time financial signals to recognize real potential. Named among the next billion-dollar startups, we're not just changing how people access financial products - we're creating a new credit system that backs the working, whatever they're working toward. The Opportunity: Staff Data Scientist Our data scientists are responsible for the entire machine learning model development process from conception with stakeholders, creation of model pipelines, technical development, deployment, and partnership with the credit, product, and finance teams to make business decisions. The ideal candidate is passionate about using data and models to drive business growth and help customers improve their financial situations. For this role, we're looking for a seasoned data scientist to work within our talented DS team for Tilt Cash Advance and Thrive Line of Credit products. This individual will own creating and improving credit risk models, building ML based paycheck detection algorithms to help the business decrease loss rates and increase approval rates. The right person for this role is someone who shines while solving complex problems and is comfortable with a wide variety of technical tools. Tilt is a remote-first company. We drive connectivity through regular company offsites. Travel for company offsites is expected at a minimum 2 times a year. How You'll Make an Impact Grow user base and increase retention through machine learning and analytics Build machine learning models with large scale data sets to address business priorities Design and influence strategies on underwriting, marketing, fraud and customer experience Work closely with our engineering team as you implement models in production Collaborate effectively with operations and product to ensure the work fits into the broader strategy and business context Develop data standards and analytics pipelines to facilitate current and future analysis Why You're a Great Fit BS degree in engineering, computer science, finance or mathematics 6+ years industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling Deep understanding of statistics and machine learning techniques, including regression, classification, clustering and optimization Experience building predictive models from scratch Strong programming skills in Python with intermediate to advanced knowledge of SQL Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc. Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred though not required Comfort working with a variety of cross functional partners in tech, product, credit, and business Exceptionally strong problem solving and communication with the ability to both get in the weeds and communicate to an executive audience Don't meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you. What you'll get at Tilt Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You'll get started with a WFH office reimbursement. Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity. Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards. Visibility is yours: You can count on direct exposure to our leadership team - we're a team where good ideas travel quickly. Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We've visited Vail, San Diego, and Mexico City, to name a few.) Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines. The Tilt Way We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable - brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures. You're pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve. #J-18808-Ljbffr

A global hospitality company is seeking a Senior Data Scientist to enhance experiences for users worldwide. You will collaborate with cross-functional teams, conduct in-depth research, and apply your expertise in causal inference. Ideal candidates have over 5 years of relevant experience or a PhD in a related field. This position allows for remote work with occasional office attendance, promoting an inclusive environment for diverse talents. #J-18808-Ljbffr

A leading healthcare AI company based in Chicago is seeking a Machine Learning Engineer/Data Scientist to develop AI solutions that improve patient care. You will design and optimize machine learning models, collaborate with diverse teams, and stay updated on industry innovations. Ideal candidates possess a strong background in machine learning, proficiency in programming languages like Python, and experience with cloud platforms. Join us for a competitive salary and opportunities for personal development and equity participation. #J-18808-Ljbffr