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Hello, Data scientists- Los Angeles, CA We have below job opening. If you are interested and your experience match with job description. Please send your updated resume....Asap Title: Data Scientist Onsite: Los Angeles, CA Duration: Longtetrm Contract Job description: Resource must have at least Eight (8) years of experience. QUALIFICATIONS AND DUTIES 1. Experience coding data science solutions using R programming language and/or Python., 2. Experience building statistical models, creating predictive/forecasting models, and understand algorithmic bias in stats & implications., 3. Experience shepherding a data science model from requirements gathering from business stakeholders, to coding, to releasing to production, to assessing performance, to refining/optimization., 4. Clearly express the details of a data science model to peers and support finding with simulations measuring the effectiveness the model and optimize for constraints., 5. Experience in a government, school district, or related setting is preferred 6) Support a Data Science Team in using collaboration software using Posit Workbench, Databricks, Hex, or similar ., 6. Train Data Science team on how to check in code and collaborate using GIT and provide training and knowledge transfer on statistical models and methods., 7. Explaining complex statistical models and concepts into clear, understandable language for non-technical users who have minimal level knowledge of statistics., 8. Configure and troubleshoot Linux servers for hosting data science tools., 9. Document code, server settings, software settings, and workflows to facilitate lasting processes. All your information will be kept confidential according to EEO guidelines.

StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. This role will be based out of our New York, NY, or Los Angeles, CA office and has a hybrid (3 in-person days per week) work schedule. What You'll Do • Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition, • Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences, • Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing, • Find and develop your own roadmaps with business partners and carry out project management and execution of your own work, • Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups, • Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity across your team What You've Done • 5-10 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred., • Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL, • Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn), • Experience in building production level models in cloud environments (e.g., AWS, Azure), • Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have, • Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs What We Offer • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options., • Team-Building Events: Engage in vibrant team events that foster camaraderie and collaboration, creating an atmosphere where your professional and personal growth are celebrated. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$275,000 USDAbout Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found ___ We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

About HeyGen At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at ___. Visit our Mission and Culture doc ___. Position Overview: We’re looking for a talented, curious, driven, and self-starting data scientist to join our team. The ideal candidate is a critical thinker familiar with SaaS products and metrics, has a strong background in statistics and data modeling, can clearly communicate complex concepts to a variety of audiences, and is excited to partner with engineering to implement the data infrastructure and stack for a rapidly growing startup. This is a highly dynamic, fast-paced environment where you’ll be trusted with real ownership — from defining our data stack to shaping how insights guide our product roadmap. You’ll help lay the foundation of our data culture, working across engineering, product, and business teams to ensure data drives decisions at every level. Key Responsibilities: Data Tooling & Culture • Play a critical role in defining and setting up our data and experimentation stack, • Partner with engineering to ensure our data is clean, scalable, and usable, considering real-world deployment constraints, • Create and champion best practices to create a data-driven culture Product Analytics & Insights • Analyze large, complex datasets to uncover patterns, trends, and insights to inform product and business decisions, • Help define the product roadmap through analysis of the user journey, user behaviors, and product trends, • Design, launch, and analyze A/B tests or data-led product features, • Partner with product teams and leadership to define new metrics and make prioritization decisions Business Intelligence & Visualizations • Build and maintain production-quality dashboards so that team members can access product and business metrics, in a self-serve way, • Ensure BI tools are dependable and up-to-date, • Translate complex analyses into simple, visual stories that drive alignment and action. Collaboration and Communication • Collaborate with cross-functional teams to define and refine model requirements, • Communicate findings and insights effectively to both technical and non-technical stakeholders, • Share findings with the rest of the company, helping drive better decision making across marketing, sales, and product teams Preferred Qualifications: • Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, Business Analytics or related field), • 1+ years of relevant work experience in Data Science, Business Intelligence, Product Analytics, or a related function, • Expert in SQL and proficiency in at least one scripting language (R or Python), • Defined, implemented, and operationalized new feature and product-level metrics from scratch, • Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives, • Excellent problem-solving skills and ability to work in a collaborative team environment What HeyGen Offers: • Competitive salary and benefits package, • Dynamic and inclusive work environment focused on innovation and creativity, • Opportunities for professional growth and skill development, • Collaborative culture that values teamwork and employee input, • Access to state-of-the-art technologies and tools Salary Range $120,000 – 145,000 annually Please note that the salary information is a general guideline only. HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer. As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources. HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join us at HeyGen and be part of a team that's reshaping the world of visual storytelling!

Role: Data Scientist – AI Strategy & Implementation (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev Technologies Inc Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment. If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Job Description • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems., • Strong foundation in Python programming in a cloud environment., • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills, • Expertise in data wrangling using SQL,, • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes, • Fluency in querying/extracting/aggregating data via SQL scripting., • Extract, load and transform data (ETL) from structured and unstructured sources, • Apply Natural Language Processing and Computer Vision to solve business use cases,, • Strong skills in scientific data analyses, modeling, visualization and communication of results., • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction Must have • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others), • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization), • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM), • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.), • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.), • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras, • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest, • Distributed computing tools and cloud technology (AWS) Benefits * Competitive Salary * Paid Relocation * Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 hours). * Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description Job Title: Clinical Laboratory Scientist Job Description Perform pre-analytical, analytical, and post-analytical phase testing of all complexities, including specialized tests and analyses in areas such as Hematology, Clinical Chemistry, Urinalysis, Immunohematology, Serology, Parasitology, and chemical and morphological examinations to obtain data for recording laboratory test results. Responsibilities • Conduct testing across various clinical laboratory areas including Hematology, Clinical Chemistry, Urinalysis, and more., • Perform specialized tests and analyses to support accurate laboratory results., • Ensure adherence to all laboratory protocols and standards., • Collaborate with team members to maintain efficient laboratory operations., • Strong knowledge and experience in Hematology, Chemistry, and Molecular Biology., • Proficiency in phlebotomy and blood bank procedures., • MLT license., • Experience in a clinical laboratory setting., • Familiarity with ASCP guidelines. Work within a small team of 4-5 individuals in a laboratory setting. This position is part of a large hospital system offering a contract-to-hire opportunity with potential for long-term employment. It is a union organization providing excellent benefits and retirement plans. Job Type & Location This is a Contract to Hire position based out of Woodland Hills, California. Apply here and email your resume to ggarcher @actalentservices.com!! Job Type & Location This is a Contract to Hire position based out of Woodland Hills, CA. Pay and Benefits The pay range for this position is $50.00 - $60.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Woodland Hills,CA. Application Deadline This position is anticipated to close on Dec 23, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email for other accommodation options.

Job Description SUMMARY: Under limited supervision, collects specimens and performs waived and moderate complexity clinical laboratory tests to obtain data for use in the diagnosis and treatment of disease in accordance with accepted standards and practices. May assist Clinical Laboratory Scientists with high complexity testing as needed. Inputs data and retrieves reports from computer as necessary. QUALIFICATIONS: • CA license as a Clinical Laboratory Scientist, • Medical, dental and vision coverage is provided for eligible employees*, • Medical is 100% employer paid including dependents*, • Employee Assistance Program, • Basic Life and AD&D, • 401k plan with company match, • Generous PTO plan*, • Pet Insurance Discount Program*

Job DescriptionAbout the teamThe Quantum Computing Research team is dedicated to developing innovative methods to get the best possible performance from contemporary and next generation quantum computers. We push toward quantum advantage by developing cutting-edge applications, employing AI, control theory, and physics principles to optimize and automate critical parts of the quantum computing stack. We conduct pioneering research looking toward the near future, including quantum error correction and the integration of quantum computers with high performance computing and data centers. About the roleAs a Research Scientist, you’ll be responsible for developing solutions for quantum technologies and deploying them in the Q-CTRL product suite. In particular, you will: • Develop efficient and reliable methods and tools that solve challenges facing real quantum computers., • Implement and test novel measurement protocols for superconducting qubits., • Conduct research in autonomous strategies for tune-up, characterization, and performance optimization of quantum hardware at scale., • Collaborate with your colleagues in the engineering and product teams to translate ideas and research outcomes into production-level software., • Explain, document and present research solutions in accessible language., • Other duties within the Employee's skills and experience, or with reasonable training.Ideally you'll have:, • An advanced degree in Physics, Engineering, or a closely related discipline. A PhD is preferred, but we also consider exceptional candidates with previous industry experience., • At least 3-5 years of experience conducting research in a relevant field., • A comprehensive understanding of superconducting quantum computing., • Expertise in running experiments on superconducting qubits, with experience in system tune-up, characterization., • Familiarity with statistical learning methods, including machine learning algorithms, optimization techniques, model selection and validation.

Job DescriptionRainmaker is pioneering a modern cloud seeding system to solve water scarcity and inclement weather problems. We develop and incorporate radar validation, weather-resistant UAS, numerical weather modeling, and sustainable cloud seeds into an effective precipitation enhancement solution. The Field Scientist is responsible for the installation, maintenance of meteorological instrumentation and data collection systems. The role also involves quality control, data wrangling, and scientific analysis and novel algorithmic development using the various datasets . This role requires a strong understanding of meteorological principles, electronics, and data acquisition systems. The specialist will work closely with meteorologists, engineers, and technicians to ensure the accuracy and reliability of collected data. Additionally, the specialist may be involved in scientific research projects and contribute to publications.What You'll Do • Scientific algorithm development: Stay up-to-date on the latest advancements in meteorological instrumentation technologies, data collection and quality control, and sensor fusion algorithms. Research and implement methods and techniques to optimally utilize the data streams toward informing precipitation enhancement operations and validation., • Precipitation Enhancement Operations: Assist in precipitation enhancement operations, including preparing equipment, monitoring weather conditions, and deploying seeding agents. Collect and analyze data during and after precipitation enhancement events to evaluate the effectiveness of the operations., • Installation: Install a variety of meteorological sensors, including cloud radar, lidar, sounding packages, and sensors for variables of state. Mount and configure sensors according to manufacturer specifications and project requirements. Install data loggers and communication systems to transmit data to a central location., • Maintenance and repair: Perform routine maintenance on meteorological equipment, including cleaning, calibration, and troubleshooting. Inspect sensors and data loggers for damage or wear and work with the manufacturers to get sensors repaired. Test the accuracy of instruments using standardized procedures. Diagnose and repair faulty meteorological equipment. Troubleshoot electrical and mechanical problems. Replace damaged or defective parts to maximize continuous operations.., • Data Quality Control: Monitor data quality and identify any inconsistencies. Investigate and resolve data quality issues. Ensure the integrity of collected data. Develop software processes to automate quality control workflowsWork with software engineers for proper sensor data handling, • Documentation: Maintain detailed records of equipment installations, maintenance, and repairs. Prepare reports on the status of meteorological instrumentation and data collection systems., • Training: Provide training to other staff members on the proper use and maintenance of meteorological equipment.Required Qualifications, • At least a Bachelor's degree in meteorology or atmospheric science., • Strong understanding of meteorological principles and instrumentation., • Experience with data acquisition systems and data analysis techniques., • Ability to assimilate previous research concepts and develop novel applications., • Programming skills (especially Python, but MATLAB, R, and similar are acceptable)., • Experience developing workflows for real-time scientific instrumentation data sources., • Knowledge of electronics and electrical circuits.No recruiting agencies

Job Description General Position Summary The Senior Scientist has an overall responsibility for reagent and product development following design control guidelines to meet Food and Drug Administration (FDA) and the in-vitro medical devices Regulation (IVDR) regulatory requirements. The incumbent is responsible for developing and improving reagents and assays for automated and manual immunohistochemistry (IHC) and in situ hybridization (ISH) staining and in other areas as assigned. Essential Job Functions Research and Development Activities • Develop quality reagents and IHC or ISH staining protocols to meet the demands of Sakura's global IHC and ISH market., • Develop new antibodies, probes, and IHC/ISH detection reagents to expand the reagent lines, documenting appropriate specificity/sensitivity, precision, robustness, and stability as required., • Continually monitor productivity and quality and make improvements., • Facilitate technology and reagent development process transfers., • Support program directives from senior management., • Perform microscopic interpretation of stained slides., • Work with the project manager and team to develop and launch new products., • Ensure compliance with all applicable environmental, health, and safety regulations., • Develop, plan, and implement product and process development for new products and technologies from the laboratory through manufacturing scale-up., • Provide technical expertise for all Reagent Product/Process Development activities., • Participate as needed in project teams, task forces, and business or technical meetings., • Provide technical advice to internal and external customers., • Support products from early development, finalization, manufacturing, and launch., • Write and file patent applications as warranted., • Capable of working with external collaborators on complex scientific projects., • Present scientific research findings or new technology in scientific meetings and workshops., • Ensure that Sakura's Quality System is deployed and actively seek continuous improvement opportunities., • Adhere to Good Laboratory Practice (GLP) and support any activity that is needed for FDA and IVDR compliance and/or ISO certification., • Follow up on R&D action items addressed by different teams and assist in resolving quality issues., • Implement preventive action based on improvement opportunities or trends identified during Leadership Review meetings., • Initiate action items and assign responsibilities. Education • Ph.D. or master’s degree or equivalent in a relevant scientific discipline., • Experience in tissue histology or pathology., • Minimum of five years of laboratory experience, including independent experimental design, data collection, interpretation, and report writing., • Must have demonstrated expertise with histology and anatomic pathology methods, including IHC/ISH staining and microscopic interpretation of stained slides., • Must possess essential knowledge of immunochemistry, histology, and molecular biology methods., • Must be proficient in immunohistochemistry and in-situ hybridization methodologies on formalin-fixed, paraffin-embedded human tissues such as antibody development/characteristic/production, immunohistochemistry detection system, and antibody conjugations., • Must be able to troubleshoot assay performance issues independently., • Practical experience with light and fluorescence microscopy, ideally including proficiency in whole slide scanning. Requires clear and concise verbal and written communication skills, strong technical writing abilities, and the capacity to present complex technical information in an easily understandable manner. Proficient computer skills, including Excel Spreadsheets, and PowerPoint., • Excellent analytical, organizational, and problem-solving abilities. Required skills include interpreting data, performing mathematical calculations, drawing informed conclusions, and creating and executing strategies and processes to achieve objectives. Proven capability to lead and coordinate teams to reach targets and assess the success of various programs and projects., • Track record of assay development and optimization, preferably in tissue- and slide-based settings., • Track record of establishing and maintaining collaborations with other departments and external organizations., • Laboratory work experience should include a thorough understanding of principles, theories, and practices of immunohistochemistry assay and cell/molecular biology., • Experience in DNA/RNA isolation from cells and tissues, sequencing, and designing nucleic acid probes and primers is a plus., • Hands-on experience with mammalian cell culture and bacterial culture, preferably including cytogenetic specimen preparation, is a plus., • Excellent interpersonal skills with the ability to analyze and weigh the opinions of experts in the field of biomarker detection., • Interact in a professional and proactive manner with internal and external customers., • Must be able to generate, interpret, and present technical data to meet customer requirements., • Must orchestrate the technical expertise of all team members in answering customer requirements., • This position requires the employee to sit and work in a laboratory setting frequently. In addition, the employee is occasionally required to stand, walk, use hands and fingers, and reach with hands and arms., • Must be able to lift, push and/or pullup to 50 pounds occasionally with assistance., • Ability to successfully respond to multiple work pressures. The above description identifies the essential job functions and skills needed by the person or persons assigned to this position. These job functions and skills are not intended to be a complete and exhaustive list of all responsibilities, duties and skills required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. The information contained herein is subject to change at the company's discretion.

Job DescriptionABOUT HAPPY MONEY Happy Money is a consumer finance company that empowers people to achieve their goals through simple, transparent loans funded by trusted financial institutions. Through its proprietary lending platform, Hive, Happy Money delivers a fully digital experience that simplifies borrowing for consumers and helps credit unions, banks and asset managers diversify balance sheets and scale with confidence. Happy Money's end-to-end loan origination and participation programs provide partners with turnkey access to high-performing assets, underpinned by disciplined credit expertise and robust risk management. Together with its lending partners, Happy Money has originated more than $6.5 billion in loans to help nearly 350,000 people take greater control of their financial futures. Learn more at happymoney.com. View our Employee Privacy Policy here. ABOUT THE ROLE We are looking for an innovative and driven Principal Data Scientist to join our team at Happy Money. In this role, you'll serve as a technical leader building production-grade machine learning solutions across the Happy Money ecosystem. Your work will span underwriting, marketing funnel optimization, and servicing—leveraging financial and behavioral data to drive business impact. You'll lead innovation, elevate our data science capabilities, and expand DS impact to new areas of the company. Join us at an exciting inflection point where your technical depth and leadership will shape how Happy Money scales responsibly while reducing financial stress for our members. RESPONSIBILITIES • Design, build, and deploy production machine learning models and pipelines end-to-end, partnering closely with Product and Engineering teams to ensure robust, scalable implementations, • Lead technical innovation across the data science organization by improving existing DS processes, championing best practices, and bringing data science solutions to new business areas, • Develop financial models using alternative data sources to identify creditworthiness and expand access to financial support for underserved populations, • Build behavioral models to uncover patterns that drive positive financial outcomes, increase member engagement, and enhance product utility, • Perform rigorous model calibration, validation, and monitoring to ensure models drive reliable business decisions at scale, • Create clear visualizations and dashboards to communicate complex quantitative analyses to business stakeholders and drive strategic decisions, • Serve as a technical mentor, sharing knowledge across the team and elevating data science capabilities organization-wideABOUT YOU, • 10+ years of business experience building and deploying machine learning models that solve marketing, risk, or product problems, with demonstrated success driving business impact, • Advanced formal training in a quantitative field: MS or PhD in Statistics, Computer Science, Mathematics, Physics, Engineering, or related discipline with rigorous quantitative foundations, • 5+ years of experience designing and analyzing A/B tests and experiments with statistical rigor, • Expert knowledge of Python or R and SQL for data manipulation, statistical analysis, and machine learning at scale, • 7+ years building and deploying supervised and unsupervised machine learning models in production environments, • Experience with AWS technical stack and deploying models via API (Lambda, SageMaker) or containerized solutions (Docker, Kubernetes), • Experience with distributed computing frameworks (Spark, Hive, Hadoop, EMR, or similar), • Strong knowledge of statistics, machine learning (logistic regression, ensemble methods, deep learning, optimization), and model calibration techniques, • Proven ability to drive projects from ideation through production deployment with minimal guidance, • Ability to communicate complex quantitative analyses in a clear, precise, and actionable manner to both technical and non-technical stakeholdersBENEFITS & PERKS, • Generous medical, dental, and vision insurance options, • Eligible for Annual Bonus, • 401k Plan with a matching contribution, • Generous PTO including sick leave, vacation, volunteer, and more, • 12 Weeks Paid Parental Leave, • Company-paid short & long term disability and life insurance, • Monthly tech stipend to help cover expenses for remote work, • Happy Money is a 100% fully distributed workforce Base Salary Range$190,000—$210,000 USD

Job Description Job Title: Research Scientist Focus: Protein Biochemistry & Epitope Discovery Reports To: Director of Research Job purpose: The Research Scientist will support our growing program in Food allergen epitope discovery and cross-reactivity research. The role bridges protein chemistry, immunology, and mass spectrometry, with a focus on characterizing allergenic proteins and mapping epitope-level interactions that influence immune tolerance and cross-reactivity. The scientist will contribute directly to translational research aimed at improving diagnostic precision and guiding biosimilar protein immunotherapy strategies. Duties and Responsibilities: • Protein Extraction & Purification, • Perform defatting, extraction, and purification of proteins from complex biological or food-based materials., • Operate and maintain High Performance Liquid Chromatography (HPLC) and related chromatography systems for protein fractionation and isolation., • Assess protein purity and composition using SDS-PAGE, Western blot, and quantitative spectrophotometric analysis., • Immunoassays & Binding Studies, • Design and execute ELISA-based binding and inhibition assays using patient or pooled allergic sera to evaluate IgE binding, cross-reactivity, and blocking capacity., • Conduct avidity or competitive binding assays to characterize antibody affinity and specificity., • Collaborate with the immunology team to translate biochemical findings into clinical and diagnostic relevance., • Epitope Identification & Data Integration, • Prepare purified fractions for LC–MS/MS analysis and perform downstream bioinformatic peptide analysis to identify candidate epitopes., • Integrate mass spectrometry, immunoassay, and structural modeling data to define clinically meaningful epitope patterns., • Contribute to the design of new diagnostic assays and translational immunotherapy platforms based on identified protein domains., • Collaboration & Communication, • Partner with cross-disciplinary teams including immunologists, data scientists, and clinicians., • PhD in Biochemistry, Molecular Biology, Immunology, Food Science, or a related field., • Proven hands-on experience in protein purification and chromatographic separation (HPLC required)., • Strong background in binding and inhibition assay development (ELISA, competitive binding, or similar platforms)., • Experience interpreting and correlating mass spectrometry proteomic data, • Prior research involving food allergens, seed storage proteins, or other clinically relevant immunogenic proteins., • Familiarity with IgE/IgG binding kinetics, cross-reactivity mechanisms, and allergen structural biology. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. The employee is required to walk between multiple office locations that include the use of stairs (elevator is only available in some instances). This position requires the ability to occasionally lift office products and supplies, up to 20 pounds. Direct reports: N/A The company provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, marital status, veteran status, or any other consideration made unlawful by federal, state, or local laws. The company is committed to providing reasonable accommodation for qualified applicants, and employees with disabilities to ensure they enjoy equal access to all employment opportunities and benefits of employment as required by the Americans with Disabilities Act.

Job DescriptionHealthy Brain Clinic in Long Beach, CA is part of the Irvine Clinical Research site network, the largest of its kind on the West Coast. With 5 research centers in California, we are leaders in the search for new treatments in neurology. Our largest area of research is in Alzheimer’s Disease prevention and treatment drug trials, and our doctors were the largest contributors in the world to the most recently FDA-approved medication in Alzheimer’s Disease. The Clinical Scientist/Neuropsychological Rater will work on prescreening and screening potential candidates for outpatient Phase II/III clinical trials in Neurology. Study participants are generally adults with concerns about memory (e.g. MCI and Early-Mild AD).Job Duties • Assess potential and returning study participants using clinical judgement as well as psychological, neurological, and psychiatric clinical rating scales, • Conduct clinical interviews to collect psychological/medical information and to effectively screen potential participants for appropriate research opportunities at our centers, • Educate participants about the potential benefits and risks of our clinical trials through the informed consent process and outreach events, • Communicate with investigators, coordinators, and study teams about participants, • Assist with scientific initiatives, study operations, and participant enrollment as neededJob Requirements, • PhD/PsyD/MA/MS/MSW in psychology, neuroscience, or related field, • Experience with cognitive assessments and/or experience working with older adults with memory concerns, Mild Cognitive Impairment, or Early/Mild/Moderate Alzheimer’s Disease