Biostatistician work from home jobs

Everest Clinical Research (“Everest”) is a full-service contract research organization (CRO) providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. We serve some of the best-known companies and work with many of the most advanced drugs, biologics, and medical devices in development today. Everest has been an independent CRO since 2004 with a strong foundation as a statistical and data management center of excellence. Building on this foundation, Everest has successfully developed and established itself as a full-service CRO. Everest's headquarters are located in Markham (Greater Toronto Area), Ontario, Canada with additional sites in Bridgewater (Greater New York City Area), New Jersey, USA, Shanghai (Pudong Zhangjiang New District), China and Taipei, Taiwan. Everest is known in the industry for its high quality deliverables, superior customer service, and flexibility in meeting clients' needs. A dynamic organization with an entrepreneurial origin, Everest continues to experience exceptional growth and great success. Quality is our backbone, customer-focus is our tradition, flexibility is our strength…that's us…that's Everest. To drive continued success in this exciting clinical research field, we are seeking committed, skilled, and customer-focused individuals to join our winning team as Senior Biostatisticians for our Bridgewater, New Jersey, USA on-site location, or remotely from a home-based office anywhere in the USA in accordance with our Work from Home policy. Key Accountabilities: 1. Leadership and Project Management: Lead efforts in resolving day to day work related issues and problems, securing quality, improving efficiency and productivity of statistical and programming operations. Lead assigned projects by applying project management skills, statistical and programming techniques; achieve quality and on time delivery of deliverables, earn client's trust and repeat business. 2. Statistical Planning and Methodologies: Provide statistical expertise for design, analysis and reporting of clinical trials and research projects. Contribute to the writing of statistical sections of study protocols, perform sample size calculation, develop randomization specifications, and generate randomization codes. Write Statistical Analysis Plans (SAPs) and properly address Peer Statistician review comments. Create and maintain Statistical and Programming Quality Control (QC) and QA Plans for assigned projects. Provide input to unblinded data management plan when required. Assist in research and development of statistical methodologies and processes. 3. Statistical Programming: Develop and/or review ADaM dataset specifications. Review and provide input to SDTM dataset specifications when required. Perform QC validation of analysis datasets and TLGs. Perform third level review of dry runs and final run. Lead statistical dry runs and final run by actively participating or contributing to project and resources management, addressing statistical and programming questions and interacting with data management to follow up and resolve data issues. Review and provide input to the Analysis Data Reviewer's Guide, discuss and incorporate Data Standards Reviewer's review comments to ensure quality of the document. 4. Statistical Analysis and Reporting, and Publication Support: Perform statistical analysis as per SAP, and address peer/QC review comments and findings. Perform statistical validation of core results, address additional QC validation comments and findings on the core results. Plan and conduct or contribute to the trial results reporting/dissemination meetings. Under supervision contribute to the contents describing any deviation from the planned analysis and deviation from study conduct for the Clinical Study Report (CSR). Review CSR to ensure accuracy, completeness and appropriateness of the interpretation of the statistical results. Write statistical report or statistical sections of the CSR. Perform statistical analyses for publications, including but not limited to abstracts, manuscripts, presentations and posters. 5. Supporting Clinical Data Collection and Cleaning: Provide statistical input to Case Report Forms (CRF) design and database/variable structure. Provide statistical input to non-CRF data collection and acquisition methods and approaches. Review Data Management Plan sections relating to critical data collection and cleaning. Provide statistical input to Data Validation Specification. Specify and/or program database quality acceptance checks, assess and report data quality issues, and follow through until resolution. Perform ongoing assessment and communication of data quality issues, including protocol deviations. Assist data management and trial management team in preparing for database lock. 6. Complete job required and project-specific training. Comply with applicable Everest and trial sponsor's policies, SOPs, and work instructions. 7. Properly archive study files in accordance with trial sponsor's requirements. 8. Plan and carry out professional development activities. Qualifications and Experience: A Ph.D. degree in statistical science, mathematical analysis or related fields plus 2 years highly relevant experience or a Master's degree plus 4 years highly relevant experience, with demonstrated ability and sustained performance. To find out more about Everest Clinical Research and to review other opportunities, please visit our website at ***************** Estimated Salary Range: $130,000 - $160,000. We thank all interested applicants, however, only those selected for an interview will be contacted. Everest is committed to upholding the principles of dignity, independence, integration, and equal opportunity. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process. #LI-Remote #LI-TK1 #INDHP

The Biostatistician will work with health system research teams to manage datasets, design studies, form analysis plans, and perform sample size/power calculations and stratification/randomization of studies, statistical programming, data management, analysis and report writing. Additionally, will provide consultation on the design of data processing systems, specifying the needed output, the required input and the methods of validation and quality control. Will recommend and carry out effective statistical methodology and strategies necessary for the creation, completion, and analysis of research projects and supervises the planning and designing of analytical procedures by others as requested. Will recommend the most appropriate analytical design for a broad range of data and analyze data using the most appropriate statistical procedures for the evaluation of outcomes studies. The biostatistician will support the preparation of peer-reviewed publications and will serve as primary and/or co-author on publications. Incumbent will also contribute as a statistical reviewer and editor for other manuscripts produced by the professional staff. The biostatistician will provide technical leadership, consultation, and advice on statistical analysis, methods and techniques for epidemiologic or research studies. Estimated salary range for this position is $93867.22 - $122027.39 / year depending on experience. Degrees: * Doctorate. Licenses & Certifications: * Collab Inst Training Init. Additional Qualifications: * PhD in Biostatistics/Epidemiology, Statistics, Health Economics, or another relevant field. * Expert technical abilities in statistical methodologies and knowledge of outcomes research and clinical methodologies, cost effective analysis, ability to analyze complex genetic data with cutting edge statistical methods, and generating risk scores based on large available variables. * Skilled in data manipulation and linkage of large datasets. * Knowledge of computer software systems appropriate for data analysis like SAS or STATA. * Manipulation of large datasets. * Experience in using hospital administrative databases or large claim databases and familiar with medical coding (DRG, ICD, HCPC, CPT, NDC) would be desirable. * Experience in publication (abstract, poster, manuscript) preparation process. * Ability to work on multiple projects with competing priorities. * Excellent interpersonal, communication, problem solving, and analytical skills. Minimum Required Experience: 5 Years

🔗Are you being referred to one of our roles by a connection in Alira Health? If so, please apply using the referral link emailed to you. Join our global team dedicated to innovation and initiative, where physical walls and different time zones don't limit, but encourage, collaboration. Where all contributions and new ideas are explored with an open mind and work is driven by our shared values: be courageous, be accountable, be honest, be inclusive and elevate others. Summary The Senior Biostatistician carries out tasks assigned within the timelines and the standards of quality, while providing supervision to biostatisticians, preparing Statistical Analysis Plans and writing the statistical methodology and results sections of reports. The Senior Biostatistician provides statistical input to the design and review of Protocols and Case Report Forms and prepares and performs trainings of other staff and clients on statistical methodology and statistical principles. Job Description THE SENIOR BIOSTATISTICIAN ROLE The Senior Biostatistician carries out tasks assigned within the timelines and the standards of quality, while providing supervision to biostatisticians, preparing Statistical Analysis Plans and writing the statistical methodology and results sections of reports. The Senior Biostatistician provides statistical input to the design and review of Protocols and Case Report Forms and prepares and performs trainings of other staff and clients on statistical methodology and statistical principles. ESSENTIAL JOB FUNCTIONS* Writes and reviews the statistical methodology and results sections of reports Review of Statistical analysis (tables, figures and listings) and specifications of clinical trials Performs sample size calculation Writes Blind Review plans and reports Writes and review statistical parts of scientific articles Prepares and reviews Statistical Analysis Plans Advises other staff and clients on statistical methodology and statistical principles. Participates and conducts Blind Review meeting. Supports the presentations to clients and manages the technical communications with client when assigned as lead statistician to a study Create SAS and/or R programs for Datasets and TLFs validation Prepares and performs training to internal/external staff on statistical methodology and statistical principles Provides statistical input to the design and review of Protocols and Case Report Forms Participates to DMC/DSMB meetings Provides support to DMC/DSMB charter preparation Reviews the specifications for analysis datasets Conducts other activities as required PREPARATION, KNOWLEDGE, SKILLS & ABILITIES Master's degree in Statistics At least 3 years of experience in Biostatistics SAS Programming, Good R Programming, Basic/Good Broad Range of Statistical methodology skills, Very Good ICH E9 Statistical Principles for Clinical Trials, Very Good English, Good MS Office Suite, Good Professional Trustworthy Ability to effectively prioritize Quality focused Personable Attitude Willingness to learn Team Player Effective Stress Management Techniques Learning Agility Ability to Manage Conflict Problem Solving Skills Effective Verbal Communication Skills Commercial and Technical Writing Skills Networking Skills Languages English Education Bachelor of Arts (BA): Statistics Contract Type Regular

Our client is a leading CRO with a fantastic reputation for delivering quality results. They are currently looking for Biostatisticians at all levels, and these positions can be remote. All the Biostatisticians here are hands-on; some have managerial responsibilities, and some are individual contributor roles. They do ask that Biostatisticians have strong programming skills, though there is a Programming team there as well for support. Also, a good grasp of CDISC, ADaM, and SDTM standards is important here. This CRO has a mix of both FSP and standard outsourcing models ranging from small to large pharma and biotech companies so there is much opportunity to contribute in various, diverse ways across phases and therapeutic areas. This is a fantastic opportunity to deepen and broaden your statistical experience in a well-established and stable company.

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Senior Data Scientist May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for tagging data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! Responsibilities Develop methods to identify driver behavior and traffic interactions on large scale datasets. Design, implement, and deploy state-of-the-art machine learning models. Curate high-quality datasets by applying advanced data mining techniques to ensure model robustness, performance, and coverage. Establish and maintain frameworks for model validation and performance monitoring to drive continuous improvement. Skills Expertise in complex temporal feature engineering and geospatial analysis. Expertise in designing and optimizing pipelines for complex, multi-modal sensor data processing from raw sources to refined features. Expertise in machine learning, with hands-on experience in the design, training, and evaluation of a wide range of algorithms. Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May. Excellent problem-solving skills with a meticulous approach to model architecture and optimization. Qualifications and Experience Required B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 5+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithm design and machine learning. Demonstrated experience in extracting temporal and geospatial features to understand driving maneuvers and traffic interactions from large, complex datasets. Proficiency in Python and SQL. Expertise in machine learning libraries like Scikit-learn, TensorFlow/PyTorch. Expertise in PySpark/Apache Spark for handling large-scale data processing. Desirable Background in robotics or autonomous systems. Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs). Solid understanding of ML deployment lifecycle, MLOps practices, and cloud computing platforms (e.g., AWS, GCP). Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range$131,000-$265,000 USD

The ideal candidate is local to and interested in working from any of our offices (Silver Spring, NYC, SF, Miami, Denver) 1-2x per week. 🔮 Rocket Money's mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM 🤝 Data Scientists at Rocket Money advance our mission by building internal and external products that strengthen customer relationships across our financial offerings. We work closely with product and engineering teams to test the effectiveness of features that help customers understand, track, and improve their personal finances. Data Scientists also enhance growth operations through ML-powered personalization during onboarding, modeling customer lifetime value, and estimating the relationship between marketing operations and user acquisition outcomes. We seek team players who excel at cross-team collaboration, use data to shape strategy, and deliver solutions effectively within cross-functional teams. While Data Scientists primarily focus on model development, data preparation, and experimental testing + design, they also contribute to system architecture, design, deployment, and evaluation. ABOUT THE ROLE 🤹 ♀️ Rocket Money is looking for a Senior Data Scientist to drive marketing efficiency, attribution, and experimentation efforts through the use of tools like customer lifetime value modeling, media mix attribution modeling, and causal impact assessments of marketing strategies. This role will also lead product scientific experimentation program efforts, including building tooling and processes for self-service product and CRM experimentation. Lead internal marketing effectiveness measurement and estimation approaches. Be responsible for leading projects from start to finish - making key decisions on both implementation and scope while balancing technical and business goals and working with stakeholders to implement operational change. Design and conduct experiments to estimate the impact of marketing and product strategies. Create scale by leading a systematic marketing and product experimentation program. Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers. Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines that enable marketing and product experimentation operations. Optimize to continuous product feedback loops - you understand that data product development is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing. You understand how to build, test, and deliver internal facing predictive tools. You understand how to effectively design and assess experiments for a variety of user facing experiences. Maintain a high technical bar by mentoring other members, participating in code reviews, and ensuring quality in production systems. Level up others around you via effective technical mentoring. Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in-house experimentation engine. Be on the cusp of new developments in marketing data science tech and drive operational changes in marketing that are cutting edge. Create scalable approaches and tooling that allow others on the data team to undertake product experimentation without your direct input. In this role, you will focus on the following types of problems: Collaborate closely with Product, Marketing, and Engineering teams to define marketing measurement and optimization strategy and build internal predictive tools. Build the next generation of Rocket Money's customer lifetime value models and integrate into the operational decision making and optimization of our marketing portfolio. Level up our product experimentation program. Rigorously design experiments to assess the effectiveness of product experiences. Reassess baseline approaches and strategies. Create tooling to enable self-service experimentation by teams of data analysts. ABOUT YOU 🦄 6+ years of professional experience in data science, with proficiency in SQL, at least one scripting language, statistical modeling, and engineering scalable experimentation solutions. Expert level experiment design and assessment skills. You have direct experience building production grade tooling for operational use by teams of internal decision makers. You know how to drive marketing and product strategy with experimental and observational data and build the tools that can implement it at the tactical level. You've worked with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms. You are a team player with a proven ability to collaborate across teams and communicate technical insights effectively, driving alignment with marketing strategy and operations. You care about products, not publications . Solving business problems is your primary goal. We love recovering academics that aren't looking in the rearview. You care just as much about why you're solving a problem as the solution. You always want a deep understanding of context and business impact. You are a data scientist first but an expert analyst when necessary. Excellent writing, presentation, and communication skills. Documenting, soliciting feedback, and securing alignment among collaborators is second nature. Deep experience in several of the following in a professional capacity: customer segmentation, customer lifetime value modeling, A/B testing and causal inference, media mix modeling. Experience in fintech, banking, or finance is a plus. WE OFFER 💫 Health, Dental & Vision Plans Life Insurance Long/Short Term Disability Competitive Pay 401k Matching Team Member Stock Purchasing Program (TMSPP) Learning & Development Opportunities Tuition Reimbursement Unlimited PTO Daily Lunch, Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $180,000 - $220,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money, Inc. is an Affirmative Action and 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. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As a Senior Data Scientist in our Compliance Technology & Data Strategy function, you will play a key role in shaping our approach to governance, independent validation, and continuous improvement of our financial crime compliance (FCC) systems and data platforms. You will lead the design, testing, validation, and monitoring of advanced models and data pipelines that support our transaction monitoring (TM), customer risk rating (CRR), and watchlist screening engines across both fiat and crypto ecosystems. You will work hands-on with large, complex datasets, building and validating rule-based and ML-enhanced models, developing new typology detection logic, and ensuring our systems remain robust and defensible in an evolving regulatory landscape. This is a highly technical, cross-functional role requiring strong programming, data engineering, and advanced analytics skills, along with an understanding of FCC domain risks. You'll partner closely with Compliance, Product, Engineering, and Risk teams to modernize our compliance technology stack, drive improvements in data pipelines and model explainability, and integrate cutting-edge blockchain intelligence and cross-chain analytics tools. Your work will directly impact our ability to detect and mitigate financial crime risks, meet regulatory expectations, and deliver trusted insights across our global operations. What You'll Be Doing Design, test, and independently validate rule-based and machine learning models for transaction monitoring, customer risk scoring, sanctions and watchlist screening, and typology detection for both fiat and crypto transactions Build and optimize scalable data pipelines integrating blockchain analytics, on-chain and off-chain transaction data, and third-party intelligence tools to enhance risk detection Develop and execute robust testing strategies to assess model fitness, typology coverage, Type I and Type II error rates, and regulatory defensibility Design strategies to automate monitoring frameworks for model performance, data quality, and risk typology drift; implement advanced analytics to detect anomalies and continuously tune models Lead the development and execution of comprehensive metrics and data reporting frameworks, ensuring the accuracy, consistency, and timeliness of key risk indicators, model performance metrics, and regulatory reporting requirements across all FCC models Build reproducible and production-ready notebooks, scripts, and workflows following best practices in version control, code testing, and documentation Leverage advanced anomaly detection techniques, clustering, and graph analytics to identify emerging financial crime typologies across large multi-source datasets Conduct deep-dive data investigations, develop new detection typologies, and translate FCC risk scenarios into effective, explainable models and analytics Partner with Product and Engineering to drive enhancements to compliance data architecture, including streaming pipelines, data integrations, and advanced analytics capabilities Lead remediation of data quality and model coverage gaps by executing data audits and root cause analysis; maintain thorough documentation and audit trails for regulatory readiness Deploy containerized data science workflows and collaborate with engineering teams to integrate models seamlessly into production environments (e.g., using Docker, Kubernetes, or cloud pipelines) Contribute to developing reusable data science tools, libraries, or model templates that improve the speed and consistency of future compliance analytics work Stay current on regulatory expectations and industry best practices for model governance, validation, and development (NYDFS, FATF, HKMA, MAS, FCA, etc.) Produce clear, actionable reports and data visualizations to communicate findings to technical and non-technical stakeholders Proactively research and experiment with new open-source tools and techniques that could enhance our FCC model governance and analytics capability What We Look For In You 7+ years of hands-on experience in data science, machine learning, or advanced analytics, ideally in the FCC, AML, KYC, or fraud detection domain Proven experience building and validating data models using programming languages such as Python, SQL, Java, R, or similar Strong skills in data engineering, large-scale data pipelines, ETL/ELT processes, and streaming analytics (Spark, Kafka, Snowflake, or equivalent) Familiarity with blockchain analytics tools (e.g., Chainalysis, TRM Labs, Elliptic) and understanding of on-chain transaction monitoring is highly desirable Experience with building, tuning, and monitoring rule-based and ML models for financial crime detection, risk scoring, or sanctions screening Solid background in building and maintaining scalable data pipelines, streaming analytics, and working with large, complex datasets Experience deploying models into production environments, working with containerization (e.g., Docker, Kubernetes) and cloud data tools Solid understanding of typology detection, false positive/negative tuning, and regulatory model validation expectations Strong background in data visualization and reporting using BI tools (Tableau, Looker, Power BI, or similar) Excellent communication skills to present complex technical findings and recommendations to diverse stakeholders Proven ability to work independently in a fast-paced, cross-functional environment Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $143,000- $214,000 (this band is applicable to CA/NY/NJ residents and is adjusted for all other US states) The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-JC4 Notice : All official OKX vacancies are posted on this site. We are not affiliated with other third-party job boards except Linkedin.com, listings on other sites may be inaccurate or outdated. This is the only source of truth for applications. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: You will join a team dedicated to driving innovation and optimizing our dynamic Marketplace. As a member of the Marketplace Data Science team, you will tackle challenges at the core of our business, including pricing, supply management, and fee strategies. Collaborating with leaders across the company, you will play a key role in shaping the future of our marketplace. The Difference You Will Make: As a Senior Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. Your work will include: Specifying and estimating models to determine the impact of supply and demand on marketplace outcomes Delivering data and insights to enable the company's supply growth efforts A Typical Day: Crafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning. Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions. Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success. Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals. Your Expertise: 5+ years of relevant industry experience, or 2+ years with a PhD Background in economics, statistics, and experimentation. A PhD or Master's in economics or a related field is valued Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments Proven ability to communicate clearly and effectively to audiences of varying technical levels Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range$177,000-$208,000 USD

At Angi , we've had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need - and connecting pros with homeowners who have the jobs they want. Angi at a glance: Homeowners have turned to Angi for more than 300 million projects 1,000+ home service tasks covered 2,800 employees worldwide Why join Angi: Angi is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. About the role: Angi is seeking an exceptional Senior Data Scientist who can enable our transformation into a world-class online marketplace. The role is on our Data Science & Machine Learning team, tackling challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience. What you'll do: Model Development & Data Strategy: Lead development of predictive models and algorithms to improve our Service Professional product and operations. Success in these areas will impact user experience & engagement, retention, and sales conversion rates - critical metrics for business success. Model Deployment: Implement robust MLOps practices to ensure the seamless deployment and scalability of predictive models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Model Evaluation: Develop robust design of experiment and statistical frameworks to evaluate and measure the impact of your data science solutions. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, product managers, sales directors, and designers to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced data science techniques from both industry and academia. Who you are: You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 5+ years of experience in data science & machine learning, ideally within the tech industry & marketplace environments. You are an expert in machine learning and statistical model development and have experience designing experiments to evaluate and measure the impact of your models. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits: The salary band for this position ranges from $150,000 to $220,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Retirement plan with company match (401K) and parental leave benefits The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote #BI-Remote

Role Description We're looking for a Senior Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the AI and Core Experience area. This area focuses on improving key part of the core product through re-envisioning the user experience including the home experience, integrating AI features into the user experience, and building new functionality. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 6+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$168,300-$227,700 USDUS Zone 3$149,600-$202,400 USD

About Extend: Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits. Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco. About the Role: As a Machine Learning Data Scientist on Extend's Risk & Fraud Machine Learning Team, you will develop and deploy cutting-edge machine learning models to detect and prevent fraud, enhance decision-making, and drive business value. You'll work closely with product, engineering, and operations teams to build scalable, production-ready machine learning applications that support Extend's post-purchase products, including product protection, shipping protection, and more. What You'll Be Doing: Develop and deploy machine learning models to prevent and detect fraud and abuse, leveraging structured and unstructured data sources. Own the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, validation, and deployment. Monitor and maintain models in production to ensure performance and reliability over time. Collaborate with product and engineering teams to integrate machine learning models into production applications. Foster a culture of learning, experimentation, and collaboration within and across partner teams. What We're Looking For: 3+ years of experience building and deploying production machine learning models. Previous experience building fraud detection or risk assessment tools is a strong plus. Solid understanding of fundamental machine learning and computer science concepts, software design best practices. Expertise with Python, including common ML/AI libraries such as Scikit-learn, Pytorch, or Tensorflow. Expertise with SQL; experience with dbt or graph databases is a plus. Familiarity with large language models (LLMs) and their applications in risk and fraud detection. Experience with AWS, cloud computing, and/or Typescript is a plus. Excellent communication and stakeholder management skills, with a track record of working cross-functionally to drive business impact. Attention to detail, intellectual curiosity, and a deep understanding of user behavior and fraud patterns. Empathy and humility. Estimated Pay Range: $150,000 - $180,000 per year salaried* * The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience. Life at Extend: Working with a great team from diverse backgrounds in a collaborative and supportive environment. Competitive salary based on experience, with full medical and dental & vision benefits. Stock in an early-stage startup growing quickly. Generous, flexible paid time off policy. 401(k) with Financial Guidance from Morgan Stanley. Extend CCPA HR Notice

We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems. As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization. What you'll do: Drive strategic data science initiatives that directly impact our product roadmap and business outcomes while working as part of a cross-functional team. Take ownership of data science milestones, requirements gathering and identify risks and opportunities with various data sources. Independently lead in-depth analyses of a variety of healthcare and product data sources to enable data-driven decision-making driving business impact and ROI. Mentor junior data scientists in development and statistical best practices, conduct code reviews, and communication with non-technical audiences. Present information using data visualization techniques and propose solutions and strategies to business challenges Design and conduct causal inference analyses using healthcare claims, EHR and similar data. Leverage a variety of cutting-edge technologies, including LLM and stochastic optimization, to support faster and better decision making What you'll need: 5+ years hands-on data science experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization Demonstrated leadership experience in healthcare data science with a track record of influencing product strategy and business outcomes Strong communication skills with the unique ability to translate business needs from stakeholders into data science technical requirements and translate data science results back to business and clinical units. Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, causal inference, and pattern detection Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations Experience with graph database managing clinical concepts is a big plus Experience in prompt engineering and context optimization with LLM Experience with programming languages (Python,PySpark, Scala and/or Spark SQL) Strong interest and understanding of EMR data, Claims and SDOH data Experience with data visualization tools such as Tableau and Kibana, preferred MSc or higher degree in a data science/ analytics, statistics, mathematics, engineering related field Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Up to 184 hours (23 days) of PTO per year + company holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance The salary range for this position is $125,000 to $155,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: Connect with Talent Acquisition for a Preliminary Phone Screening Meet your Hiring Manager! Take Home Exercise and Presentation Team Interview Leadership Interview *Subject to change About Cohere Health: Cohere Health's clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members. With the acquisition of ZignaAI, we've further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we're creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately. Cohere Health's innovations continue to receive industry wide recognition. We've been named to the 2025 Inc. 5000 list and in the Gartner Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can't wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it's personal. #LI-Remote #BI-Remote

Skilled P&C Data Scientist sought for a highly visible, key technical role leading complete development and deployment of personal lines pricing and underwriting models that drive data-informed decision-making. Role requires close collaboration with Actuarial and cross-functional teams, as well as clear communication of insights to leadership and business partners. Must have 5-7+ years' modeling and data science experience with strong Personal Lines insurance background, robust technical expertise, and hands-on experience with large datasets and developing pricing GLMs. Exceptional communication skills and presentation skills essential.

Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades - because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions. We focus on industrial applications, which tend to be well-sensorized with measurable KPIs - perfect for reinforcement learning. We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra's ability to achieve its mission is determined by our ability to work together - as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Italy, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India. Joining the Talent Pool Please submit your resume/CV below. You may also submit a cover letter explaining what your ideal position is and how your skills would fit with the team! Please note: Due to the high volume of applications, there may be a delay in response from our hiring team. However, Phaidra is committed to ensuring every applicant receives a response, regardless of the outcome. We sincerely appreciate your interest in joining Phaidra and thank you for taking the time to apply. Responsibilities Develop electrical system ontology for data centers which will be used to organize customer's system data in a way where it can be used by AI & LLMs for customer facing products and services. Create and utilize tools to continuously monitor system telemetry from sensors, smart meters, and facility management systems to detect early signs of equipment degradation to help prevent service disruptions. Develop and deploy advanced anomaly detection models using machine learning and statistical methods to identify irregularities in power usage, voltage stability, cooling performance, UPS/battery behavior and more. Design automated alerting frameworks that trigger real-time notifications for operational teams when abnormal conditions are detected (e.g., power spikes, cooling failures, or unexpected load distributions). Perform root cause analysis on anomalies and power incidents, correlating data across multiple systems (electrical, mechanical, environmental) to improve reliability and uptime. Collaborate with customer operations teams to translate anomaly insights into actionable maintenance and optimization strategies, reducing unplanned downtime and improving PUE (Power Usage Effectiveness). Grow the knowledge base about data center electrical systems within Phaidra by openly sharing your knowledge and experience. We are seeking a team member located within one of the following areas: USA, Canada, or UK In the United States, we accept applicants located in the following states: California, Colorado, Connecticut, Georgia, Florida, Indiana, Maryland, Minnesota, Missouri, Nebraska, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington. In Canada, we accept applicants located in the following provinces: Ontario, British Columbia, and Alberta. Key Qualifications 3+ years of experience specifically in electrical or power systems operations, with a focus on data centers, utilities, or mission-critical infrastructure. Bachelor's degree or equivalent field experience in electrical engineering, power systems engineering, energy systems, data center operations or a related technical discipline. Strong understanding of power quality, load balancing, redundant distribution, harmonics, fault detection, and protective relaying principles. Passion for problem solving and using scalable solutions to solve repeat problems. Excellent communication skills. Ability to explain complex domain specific concepts to non-domain experts. Shares our Company Values: Transparency, Collaboration, Operational Excellence, Ownership, Empathy Preferred Skills & Experience Proven experience in analyzing, monitoring and maintaining of electrical distribution systems, including substations, UPS systems, batteries, switchgear, PDUs, and stand-by generator systems. Hands-on experience with SCADA, BMS, or energy monitoring systems, including sensor integration and data acquisition. Demonstrated ability to use machine learning and advanced analytics for predictive maintenance, energy optimization, and anomaly detection in electrical systems. Experience with time-series analysis, signal processing, and predictive modeling for power and thermal performance. Onboarding In your first 30 days… Familiarize yourself with the Phaidra Handbook. Review department roadmaps and product vision documents. Participate in recurring meetings with relevant teams. Review existing electrical system ontology & taxonomy and provide feedback. Start reviewing key customer system documentation to grow understanding. In your first 60 days… Build an understanding of our work processes and tools. Start solidifying a new electrical system ontology and components database. Work with solutions engineers to guide their new system build-outs. Participate in, and review, customer meetings to identify new product gaps and opportunities. In your first 90 days… Finish creation of electrical system ontology and components database. Work with solutions engineers to ensure that all customer systems are constructed to follow the new ontology and taxonomy. Define key Insights to be used to detect electrical system failure modes which will be used in our customer facing products. Engage with core product teams to ensure that our solutions are meeting the needs of our customers. Create presentations to share progress with stakeholders. General Interview Process All of our interviews are held via Google Meet, and an active camera connection is required. Meeting with People Operations team member (30 minutes) Meeting with Hiring Manager (60 minutes) Meeting with the Director of AI Controls Solutions Engineering (60 minutes) Meeting with the Data Science team (60 minutes) Culture fit interview with Phaidra's co-founders (30 minutes) Base Salary US Residents: Tier 1 (Largest highest-cost metros): 155,700 USD - 207,600 USD Tier 2(Other major metros): 147,915 USD - 197,220 USD Tier 3 (Mid-sized metro areas): 140,130 USD - 186,840 USD Tier 4 (All other locations): 132,345 USD - 176,460 USD UK Residents: Tier 1 (London): 100,600 GBP - 134,000 GPB Tier 2 (Manchester, Birmingham, Edinburgh, Bristol): 94,600 GBP - 126,200 GBP Tier 3 (Other areas): 88,700 GBP - 118,300 GPB Canada Residents: Tier 1 (Vancouver): 164,000 CAD- 218,800 CAD Tier 2 (Toronto): 153,000 CAD - 204,000 CAD Tier 3 (Montreal): 131,000 CAD - 175,000 CAD Tier 4 (Other areas): 120,100 CAD - 160,500 CAD In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate's qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. Benefits & Perks Fast-paced, team-oriented environment where your work directly shapes the company's direction. We are a 100% remote company. Competitive compensation & meaningful equity. Outsized responsibilities & professional development. Training is foundational; functional, customer immersion, and development training. Medical, dental, and vision insurance (exact benefits vary by region). Unlimited paid time off, with a required minimum of 20 days per year. Paid parental leave (exact benefits vary by region). Flexible stipends to support your workspace, well-being, and continued professional development. Company MacBook. Please note: Not all of Phaidra's benefits and perks listed above apply to temporary employees such as interns. On being Remote We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie. Equal Opportunity Employment Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at *****************. E-Verify Notice Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new. Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward-always. Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: As a Senior Data Scientist at SmithRx, you'll play a pivotal role on a high-impact Data team, leading through technical excellence, mentoring emerging talent, and delivering insights that shape key strategic decisions. You will operate within the beating heart of Smith's mission, building and measuring the impact of leading-edge technologies, like our proprietary Drug Pathways Engine , to make healthcare more affordable and accessible. You'll have a genuine opportunity to shape our product, business, and people, and reinforce our position as the market leader in the Modern PBM revolution. If you're a hands-on problem-solver eager to make a tangible difference in a high-growth health tech environment, come join us at SmithRx! What you will do: As a Senior Data Scientist, you will: Drive Goal-Setting & Decision-Making: Partner with Product, Clinical, CS, and GTM stakeholders to deeply understand their domains and define success states for each through data-driven goal-setting Design key metrics that showcase progress toward our goals and uncover opportunities to deliver product and business improvements to achieve them using advanced statistical methodologies Influence decision-making by designing and executing experiments that rigorously evaluate the viability of those opportunities with statistical significance Architect Data Foundations: Collaborating closely with Data & ML Engineers, you will influence the design, development, and maintenance of dimensional data models, ensuring data reliability and accessibility Elevate Data Quality Rigor: Champion world-class data governance practices, continuously raising the bar for data & code quality across tech teams Amplify Team Performance: Operate as a force multiplier that fosters growth within the team, providing incisive technical mentorship, inspiring intellectual curiosity, and driving clarity amidst ambiguity What you will bring to SmithRx: Bachelor's degree in a quantitative field (e.g. mathematics, statistics) Master's or Ph.D. degree is preferred 8+ years of hands-on experience influencing product and business decision-making through experimentation and advanced analytics Healthcare and/or pharmacy experience is preferred Advanced technical proficiency, including deep experience: Leveraging SQL & dbt to query, transform, and validate complex data sets Leveraging scripting languages (e.g. Python) and statistical/mathematical software (e.g. R) for advanced statistical modeling Collaborating with Data & ML Engineers to architect robust data models and institute world-class data quality guardrails Establishing and scaling causal learning frameworks, including designing and executing experiments with statistically significant findings Designing, presenting, and influencing people with data visualizations that deliver impactful and actionable insights A self-starter mentality, proactively identifying novel ways to drive impact, devising creative solutions to complex challenges, and independently delivering on commitments Excellent communication and storytelling skills, seamlessly adapting between business and technical audiences Proven leadership prowess, including the ability to drive clarity by articulating a compelling vision and bring people along with you What SmithRx Offers You: Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance Flexible Spending Benefits 401(k) Retirement Savings Program Short-term and long-term disability Discretionary Paid Time Off Paid Company Holidays Wellness Benefits Commuter Benefits Paid Parental Leave benefits Employee Assistance Program (EAP) Well-stocked kitchen in office locations Professional development and training opportunities

At Trella Health, we are passionate and committed to our mission: empowering meaningful change in healthcare. Since our founding in 2015, we continue to grow our team, enhance our solution and services offerings, accelerate into new markets, and expand our customer base. We are rapidly growing and are looking for new Trellavators to join our team! “What is a Trellavator?” you ask. Innovate and elevate is the name of our game! We go above and beyond to collaborate with and support each other. We believe that when a colleague or customers succeeds, we succeed. By learning from others, building on our successes, and taking risks, we constantly raise the bar. After all, continuous improvement is in our DNA. Our word is paramount, we keep our commitments, and we always follow through. We have a strong, reliable support system that fuels growth, collaboration, and passion-and together, we create a positive environment where everyone at Trella Health, including the customers we support, can thrive. Are you ready to learn more about the opportunities with our team? Trell-yeah you are! Position Overview: We are looking for a Senior Data Scientist to join our Data Science & Engineering team. In this role, you will be responsible for turning medical and pharmacy claims data into measures and actionable insights within our software as a Service (SaaS) solution. You will utilize your strong quantitative analysis, SQL, and Python skills to create and analyze scripts to compute metrics and impact downstream data sets. You will work cross-functionally with the data engineering, product, and data quality teams to ensure our data pipelines are accurate, efficient, and high quality. We're looking for someone who is intellectually curious and passionate about continuous learning, especially when solving problems within healthcare data. Location: This role is remote with a strong preference for candidates within commuting distance of Atlanta, GA; Philadelphia, PA; or Nashville, TN. We will also consider applicants based in other U.S. locations. Reports to: Data Science Manager As a Senior Data Scientist at Trella, you will: Work with vast national datasets of medical and pharmacy claims data to interpret, analyze, and build datasets that deliver actionable insights to Trella's proprietary solutions. Design, build, and maintain scalable Databricks workflows and jobs for processing healthcare claims data. Develop and optimize PySpark and SQL pipelines for performance, reliability, and efficiency. Implement data quality monitoring and validation frameworks to ensure completeness, accuracy, and consistency of claims data. Support modernization by refactoring legacy SAS scripts into Databricks. Act as a subject matter expert on healthcare data sources, calculations, and methodologies. Collaborate with the product team to size and scope new analytic projects, defining specifications and requirements. Continuously enhance your knowledge of the healthcare industry through independent research and professional development. This job might be a fit for you if you have: 5+ years of experience in data science, preferably within healthcare space. Advanced SQL and Python skills (e.g. writing complex data processing scripts and automating workflows). Experience working with Databricks, including Spark SQL and PySpark for analytics, data modeling, and machine learning workflows. A deep understanding of data lineage to track and visualize data dependencies, identifying upstream/downstream impacts. Experience with statistical modeling including regression, imputation techniques, and risk scoring. Strong knowledge of medical claims data (e.g., Medicare, Medicaid, Commercial) as well as medical coding systems (ICD10, CPT, HCPCS, MS DRG, NPPES NPI). Excellent problem-solving, time management, and communication skills. Familiarity with software development tools like Jira, Confluence, and Bitbucket. A passion for using data to improve healthcare and a love for solving complex problems. Bachelor's or Master's degree in a technical field or equivalent experience. About Trella Health: Trella Health provides unmatched, actionable market intelligence to post-acute care and value-based care providers of all sizes. Our industry leading analytics paired with CRM and EHR integration workflows positions us as the most advanced sales enablement platform for the post-acute care market. One of only a few companies to be deemed both a Qualified Entity by CMS and an Innovator under its Virtual Research Data Center Program, Trella has elite access to billions of performance metrics and referral data to enable competitive positioning across the market. Its standardized insights, representing 90% of all lives 65+ U.S. population, help customers identify, engage, and manage critical relationships and advance their organizations with certainty. Since launching our first product in 2016, we have experienced tremendous growth and have highlighted a few key data points to get an at-a-glance view of Trella: Over 900 customers including 10 of the top 10 post-acute providers and 4 of the top 10 health systems Over 120 team members and growing Recognized as one of Modern Healthcare's “Best Places to Work” in consecutive years and were ranked in the Top 50 startups in the US by LinkedIn Headquartered in Atlanta, GA with remote hubs in Nashville, Philadelphia, the Philippines, and Latin America. The Trellavator Experience: At Trella Health, you can expect to join a welcoming team that truly embodies our core values. Our collaborative culture is anchored by trust, transparency, and inclusion-and we also have a lot of fun. No matter where you work, at Trella Health you can expect an awesome team, frequent virtual gatherings, engaging events, casual attire, and more. We offer competitive salaries with a comprehensive benefits package to all employees and provide an environment that fosters work-life harmonization with Flexible Paid Time Off, along with remote-first work arrangements. As we continue to see exponential growth, our goal is to continue to put team members first and strive to offer our team members the best culture and benefits possible. Some of the benefits we provide are: Health, Dental, Vision & Voluntary Benefits Competitive Salary & Bonus Plans 401k Retirement Savings Flexible PTO & 10 Paid Holidays Flexible Work Hours Equity Shares Paid Leave Programs Marketplace for discounted retail and entertainment Equal Opportunity Employer Trella Health is an equal opportunity employer. All persons will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, handicap, veteran status, genetic information, or any other protected status as recognized by federal, state, or local laws.

We are a passionate team of 300+ engineers, mathematicians, data analysts, project managers, and business consultants. But more importantly, we are active listeners, deep thinkers, and courageous problem solvers. The Resultant team purposefully comes together to produce a positive outcome. Our name symbolizes our commitment to empathy and collaboration-of not just delivering our clients with the best solutions, but to deeply listening to them, understanding their needs, and learning from each other in the process. The force of Resultant comes from the combined knowledge, passion, and innovation of our team and partners. Together, we partner with clients in the public and private sectors to help them overcome their most complex challenges, empowering our clients to drive meaningful change in their organizations and communities. In everything you do, you'll help your clients, colleagues, and communities thrive. Resultant was founded as KSM Consulting in 2008. Job Description At Resultant, we are fearless problem solvers. We are passionate about helping our clients solve their toughest problems, while empathizing with people our solutions will help. Data analytics is a core component of how we do this. We are looking for a Senior Data Scientist / Machine Learning Engineer (DS/MLE) to add to our talented team of team of Data Scientists, Data Engineers, and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in today's fast-paced environment. As a Senior DS/MLE, you will have the opportunity to develop novel machine learning and AI solutions and deploy them to production applications and systems. Here is what a typical day for you might look like: Engaging directly with current and prospective clients to understand business needs, translate them into technical requirements, and communicate findings in a clear, actionable way Partnering with internal and client stakeholders to shape solutions, develop proposals, and contribute to go-to-market initiatives Design, develop and deploy efficient data pipeline for both structured and unstructured data Productionize machine learning research in both on premises and cloud environments Rapid prototyping solutions and integrating of new data sources Drive optimization, testing and tooling to improve quality of solutions Develop and apply machine learning and advanced analytics algorithms to solve problems you have never seen before Collaborate with data architects and software developers to plan and construct the architecture of model deployment Develop and support APIs to serve models and other data solutions Continuously learning and adopting new tools and technologies to stay ahead in a rapidly evolving AI landscape Qualifications *This is not an entry level/recent graduate role and requires at least 5+ years of related industry experience.* Education and Experience: Required Bachelor's degree (and preferably an advanced degree) in Computer Science, Engineering, or in a quantitative field is required 5+ years experience with software engineering in Python (additional languages like Scala/C++/R are a plus) 3+ years experience with Databricks and/or Apache Spark 3+ years experience with advanced analytics and modern machine learning techniques 3+ years experience with APIs, containerization (Docker), and orchestration (Airflow) 3+ experience with relational databases and SQL (Postgres, Redshift, SQL Server) 3+ experience with Cloud platforms (Azure, AWS, GCP) and services Proficient with version control Proficient in software architecture and design patterns Proficient on Linux for both development and operations Preferred Experience with deploying applications on Kubernetes Experience with Palantir Foundry Experience with Python API development frameworks (FastAPI, Django, Flask) Experience with NoSQL and streaming platforms, e.g., Kafka, MongoDB, Neo4j Consulting, Communication and Leadership Skills: Experience working in a consulting or client-facing environment, collaborating directly with business stakeholders Strong ability to translate complex technical concepts for non-technical audiences Demonstrated experience contributing to business development efforts, including proposal writing, solutioning, and partnering with sales or account teams Solution creativity and effective written, verbal, and presentation skills Proven success working across diverse industries and project sizes with a collaborative, outcomes focused mindset Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business and social problems Additional Information What you should know about Resultant: Rezzers are humble, hungry, and smart. We solve big problems, serve lots of clients, and are entirely committed to delivering transformative outcomes. Rezzers are team players, deeply dedicated to the mission of the organization and to helping everyone around us be successful. Resultant compensates well, rewarding performance that delivers positive outcomes for our clients and ensuring incentives are aligned to achieve our goals. Resultant leaders work hard, serving as a shining example of what it means to be a great Rezzer. They are servant leaders, helping their team to be successful in all possible ways. We have a great benefits package including unlimited vacation, significant 401k contributions, and several opportunities to develop yourself. We pride ourselves in having the best talent in the industry and hope that you're up for the challenge! What our team members say about us… “I love our true empathy and concern for our clients, it's very rare and appreciated. It is a pleasure to be a part of an organization like Resultant.” “I learn something new every single day, and I feel like I'm a part of building an organization that has legs. I appreciate that I'm consistently humbled by the talent and caliber of our team.” “The culture of the company is amazing, and the climate of my team is great. The benefits that employees are offered are better than competitors, and the one-on-one presence that my team lead gives is extremely beneficial to me.” All qualified applicants will receive consideration for employment without regard to age, color, sex, disability, national origin, race, religion, or veteran status. Equal Opportunity Employer

Job DescriptionSr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a global leader in shipping and enterprise logistics services. The Data Scientist will be an integral part in helping the organization by working with numerous departments to develop solutions for customers, make sure products are as needed, and that quality and performance of products are met. This is NOT a junior position nor a developer role, it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions and solve problems. This requires you to have permanent work authorization and not need sponsoring now or in the future. (No C2C, no brokering). Data Scientist Responsibilities: Align with SMEs to outline analytic requirements and devising the analytics that meet the requirements Develop data models top optimize and improve work of e-commerce functions Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance Recognize emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics Gain industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape Data Scientist Requirements: Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science). Must have data modeling, predictive analytics and/or machine learning experience 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS Hands-on work with Azure tools: Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI This is not a developer position, but you must possess strong SQL coding skills Experience in data mining and understanding of machine-learning and operations research is an advantage Analytical mind and business acumen with a problem-solving aptitude and the communication skills to utilize these skills Nice to have: Experience in data mining and understanding of machine-learning and operations research is an advantage Proficiency in Excel, PowerPoint, MS Access is a plus Knowledge of using machine learning workflow/toolkits i.e., Kubeflow and analytics engine i.e. Spark Any familiarity with other data analytics tools, data frameworks (e.g., Hadoop) is an asset Knowledge of Python will be a plus Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at ******************* . ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and clients' needs and goals and serving both with integrity and a shared desire to succeed. We are proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Senior Data Scientist Hours: Monday - Friday, 8:00 am to 5:00 pm, 40 Hours/Week Responsibilities Support the GenAI Center of Excellence team, which drives innovation by building new generative AI applications and enhancing RealPage's existing systems with GenAI capabilities. Contribute to RealPage's AI go-to-market strategy, by creating cutting-edge solutions that empower our users and clients. Lead the development, deployment, and scaling of advanced AI models that address real-world challenges in the PropTech space. Fine-tune pre-trained foundation models, apply prompt-engineering and RAG techniques, utilize agentic frameworks, and work closely with product and engineering teams to create impactful AI solutions that support business objectives and transform user experiences. Evaluate and utilize appropriate generative models, such as GPT-4, LLaMA, Gemini, or Claude, to develop Gen AI applications such as text generation, summarization, conversational assistants, OCR, generative analytics, and copilots. Assess and utilize AI tools, LLMs, vector databases, RAG (Retrieval-Augmented Generation) solutions, and agentic frameworks based on project needs. Design effective prompts to minimize hallucinations, anticipate and resolve edge cases, and ensure the robustness of generative AI solutions. Construct data preprocessing and cleansing pipelines, ensuring high-quality, scalable data suitable for training and testing AI models. Develop and maintain frameworks to validate and measure LLM performance, testing models across a range of capabilities and edge cases for optimal outcomes. Provide technical leadership and mentorship to ML engineers and Data Scientists fostering a collaborative team environment and improving overall team effectiveness. Translate complex ML and Gen AI concepts into clear terms for technical and non-technical stakeholders, ensuring alignment on project goals and expected outcomes. Work with interdisciplinary teams, including AI engineers, software engineers, product managers, and domain experts to create integrated GenAI solutions. Track the latest AI research, tools, and trends, and adopt innovative approaches to continuously enhance project outcomes and drive improvements. Qualifications The position requires a Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field and five (5) years of experience in the job offered or as a Data Analyst, Software Developer, or an acceptable alternate occupation. Alternately, will accept a Master's degree in Computer Science, Machine Learning, Data Science, or a related field and three (3) years of experience in the job offered or as a Data Analyst, Software Developer, or an acceptable alternate occupation. The position requires knowledge and experience with the following skills: Python and SQL Writing production-grade code Cloud platforms for AI, such as AWS SageMaker, GCP, AI, or Azure ML Containerization, such as Docker Orchestration, such as Kubernetes; CI/CD practices MLOps frameworks Experience leading projects and mentoring team members in Agile environments, driving collaboration, and fostering team effectiveness Machine Learning, Deep Learning, Natural Language Processing Transformers, Recurrent Neural Network (RNN) models, and Long Short-Term Memory (LSTM) models LangChain, LLMs, Vector Embeddings, and RAG applications Prompt Engineering Remote work permitted. Salary and Benefits: RealPage provides a competitive salary package along with a comprehensive benefit plan that includes: Health, dental, and vision insurance. Retirement savings plan with company match. Paid time off and holidays. Professional development opportunities. Performance-based bonus based on position. Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees. #LI-DNI Pay Range USD $190,578.00 - USD $242,000.00 /Yr.