Data scientist jobs in Carlsbad, CA

At HAYA Therapeutics, we are revolutionizing RNA-guided genome-targeting therapies to treat fibrosis, heart failure, and other serious diseases associated with aging. Our innovative platform leverages long non-coding RNAs (lnc RNAs)-key regulators within the “dark matter” of the genome-to develop first-in-class, highly specific therapies that modulate gene expression and restore cellular function. Recognized for our innovation, HAYA received the prestigious Innosuisse Certificate for Sustainable Growth and has been nominated as TOP Innovative Companies in Switzerland 2025. HAYA's vision is to pioneer the development of next-generation biopharma, leveraging causal disease biology and AI-enabled functional genomics and systems biology to develop precision disease-modifying therapies for common and chronic diseases. By unlocking the full potential of the regulatory genome, our platform enables rapid de-risked target discovery and scalable drug development across multiple therapeutic areas. As a fast-growing biotech, we offer an entrepreneurial, science-driven environment where you'll have a direct impact on shaping our pipeline and advancing RNA medicine. Position Summary: HAYA Therapeutics is seeking a talented and experienced Computational Biologist with deep knowledge of cardiac biology and transcriptomics to join our data science team. In this highly collaborative and impactful role, you will leverage bulk, single-cell and single-nuclei transcriptomic and epigenomic omics data to drive translational research and biomarker discovery in cardiac settings. You will apply innovative computational approaches to uncover novel biology and therapeutic opportunities relevant to cardiac diseases. HAYA deploys a combination of experimental and computational solutions for target and drug discovery in the non-coding regulatory genome space. To this end, we leverage multiple omics modalities, including transcriptomic profiling (e.g., single-cell and single-nuclei RNA-Seq, bulk RNA-Seq). You will apply your end-to-end expertise in transcriptomics data preprocessing and downstream analysis to contribute to scientific discoveries and the advancement of our precision RNA-based therapeutics for cardiovascular diseases. The entire Data Science team across Haya programs will use the analysis templates and approaches you establish to handle complex datasets. The Data Science team is central to HAYA's vision by pioneering innovative AI and advanced computational biology solutions to overcome current scientific, methodological, and operational bottlenecks. We leverage complex biological datasets to remove operator biases, enabling the rapid end-to-end execution of HAYA's pipeline. Our approach ensures precision-driven decision-making, which enables target drug discovery, biomarkers, translational, clinical, and business strategies, reinforcing HAYA as a leader of next-generation biopharma. What's in it for me? At HAYA, you won't just analyze data - you'll help shape the future of RNA-based therapeutics. This is a unique opportunity to apply your scientific expertise to uncover novel biology in the non-coding regulatory genome and translate those discoveries into real therapeutic potential. You'll be part of a deeply collaborative and forward-thinking team, working at the intersection of data science, functional genomics, and drug discovery. Here, your insights won't sit on a shelf - they'll directly influence the development of treatments for patients with serious cardiovascular and fibrotic diseases. We offer a dynamic, innovative culture where scientific curiosity is celebrated, your voice is heard, and your growth is supported. Whether you're leading high-impact projects, engaging with cross-functional teams, or learning something new every day, you'll find a meaningful and rewarding career path at HAYA. Key Responsibilities: Perform bulk, single-cell, and single-nuclei transcriptomics computational analysis, mainly on (but not limited to) cardiac tissue and disease-related data. Be an internal expert on cardiac transcriptomics, consulted across multiple settings including target MoA and validation, biomarkers, translation, and pre-clinical and clinical settings. Conduct in-depth investigations using both in-house and publicly available datasets to uncover cardiac disease- and perturbation-specific cell states and transcriptional programs. Integrate transcriptomic data (including single-cell data and bulk RNA-Seq) from multiple independent datasets to inform biomarker discovery and validation strategies. Prepare and communicate high-quality scientific reports, visualizations, and presentations for both technical and cross-functional stakeholders. Education & Experience: PhD in computational sciences (e.g., bioinformatics, computer science) or life sciences with a strong computational focus, or equivalent industry experience (6+ years). Deep expertise in transcriptomic data analysis, including single-cell and single-nuclei RNA-Seq and bulk RNA-Seq data analysis, covering preprocessing, integration, and biological interpretation. Deep knowledge on cardiac biology and cardiac diseases, including HCM and HF, and ability to relate it to transcriptional dynamics across different cell types and states. Proven ability to integrate data from multiple sources to construct clear, biologically meaningful narratives, with a demonstrated track record of delivering high-quality single-cell/nuclei RNA-Seq and bulk RNA-Seq data packages. Proficient in R or Python, with experience working in Linux-based computing environments, including remote server access and basic Bash scripting. Experience with primary epigenomic data analysis (e.g., ATAC-Seq, PRO-Seq, GRO-Seq, CUT&RUN, chromatin conformation capture) to identify functional regions in the regulatory genome is a plus. Excellent written and verbal communication skills in English, with the ability to clearly present complex data to diverse audiences. HAYA Therapeutics is an Equal Opportunity Employer committed to fostering a diverse, inclusive, and equitable workplace where all individuals feel valued and empowered. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, ancestry, age, marital or familial status, veteran status, disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws. We prohibit discrimination and harassment of any kind and are committed to ensuring fair and equitable treatment in all aspects of recruitment, hiring, promotion, compensation, benefits, training, and career development. At HAYA, we believe that diversity of thought, experience, and background drives innovation and strengthens our mission to transform patient care through cutting-edge RNA-based therapeutics.

“I can succeed as a Data Scientist at Capital Group.” As a Data Scientist, you will lead projects which leverage data science techniques to mine and interpret data to solve strategic, tactical, structured, and unstructured business problems that are posed to them. You will be responsible to interpret and communicate analytic results to analytical and non-analytical business partners and senior managers. These applications are aimed at organizing information, engaging and guiding clients, delivering personalized investment content and products, predicting client's next best action, and determining where and when to target clients “I am the person Capital Group is looking for.” MS in (PhD preferred) Computer Science, Artificial Intelligence, Machine Learning, or related technical field with a minimum of 2 years experience. You will build the capability to study and analyze structured and unstructured data, data from multiple internal and external sources to enable pattern seeking and analysis. You are proficient at translating unstructured business problems into math framework in scientific way, and able to articulate the logic. Experience with deep learning models, generative AI and optimization algorithms. Expertise in predictive analytics/statistical modeling/data mining algorithms Analyzes patterns from thousands of behavioral characteristics of financial advisors and investors, market news and economic data, to personalize investment outcomes. You are well versed in at least one statistical analysis tool. You have knowledge of distributed databases and have experience with SQL or related query languages. You have demonstrated agility in providing value gained through data science from large and complex datasets. You have experience in one or more of the following toolsets: Databricks and AWS Sagemaker, You have an ability to provide data analysis and visualization solutions using cutting edge tools, algorithms, frameworks and languages like PythonTensorflow/PyTorch, Plotly Dash, Streamlit, Power BI. Southern California Base Salary Range: $125,909-$201,454 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here. * Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

Exemption Status:United States of America (Exempt)$131,188 - $183,664 - $236,139 “Pay scale information is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any selected candidate or employee, which is always dependent on actual experience, education, qualifications, and other factors. A full review of our comprehensive pay and benefits will be discussed at the offer stage with the selected candidate.” This position is not eligible for Sponsorship. MedImpact Healthcare Systems, Inc. is looking for extraordinary people to join our team! Why join MedImpact? Because our success is dependent on you; innovative professionals with top notch skills who thrive on opportunity, high performance, and teamwork. We look for individuals who want to work on a team that cares about making a difference in the value of healthcare. At MedImpact, we deliver leading edge pharmaceutical and technology related solutions that dramatically improve the value of health care. We provide superior outcomes to those we serve through innovative products, systems, and services that provide transparency and promote choice in decision making. Our vision is to set the standard in providing solutions that optimize satisfaction, service, cost, and quality in the healthcare industry. We are the premier Pharmacy Benefits Management solution! Job Description Essential Duties and Responsibilities include the following. Other duties may be assigned. Work with Application Development & Support teams as a data science and AI subject matter expert and architect to develop scalable AI solutions. Design and develop predictive and prescriptive analytics for various use cases, such as drug spend forecasting, insurance plan performance optimization, medication fraud/waste/abuse detection and prevention, preventive care, and personalized treatment planning. Fine-tune and customize LLMs to simplify manual processes in healthcare systems, e.g., prior authorization rule extraction from guideline documents, data exchange file checking and error handling. Collaborate with domain experts to validate results and model performance. Design, develop, and test code at all layers to make AI systems work end to end. Create and maintain system design document. Deploy and integrate AI systems into production environment. Build and maintain workflow frameworks that ensure AI performance monitoring and automated feedback loop for continuous improvement. Initiate and drive projects to completion independently, assuming full responsibility and end-to-end accountability for end-product delivery. Promote and enable adoption of technical advancements in Data Science; elevate the art of Data Science practice at MedImpact. Act as a thought partner to senior leaders to prioritize and scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals. Partner with cross-functional teams to initiate, lead or contribute to large scale strategic projects for team, department, and company. Provide technical guidance and mentorship to less-experienced team members on solution design as well as lead code/design reviews. Education and/or Experience BS/BA and 10+ years' experience or equivalent combination of education and experience, and 6 years of SME in respective areas 3+ years of experience in a technical leadership role leading data science and AI engineering teams. Proven track record of leading AI solutions from ideation to implementation, production, and value realization. 2+ years of experience in developing predictive and prescriptive analytics in pharmacy benefit management for various use cases, such as drug spend forecasting, health benefit plan performance optimization, and medication fraud/waste/abuse detection and prevention. Familiarity with healthcare data and systems. Knowledge of prior authorization and pharmacy benefit adjudication processes. Extensive experience with databases, SQL, and programming languages like Python or Java. Thorough knowledge of data science methodology, software development life cycle, and agile development best practices. Deep understanding of AI/ML/NLP principles, specifically with generative models. Proficiency with deep learning frameworks such as Pytorch, TensorFlow, MLP, Large Language Models, Generative AI, LangChain, HuggingFace. Strong understanding and exposure in Gen AI like transformers, LLMs, text embeddings. Experience with AI automation platforms. Knowledge of reinforcement learning in addition to supervised and unsupervised machine learning paradigms. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Proven ability to prioritize and plan multiple projects to ensure effective delivery on time and budget. Business acumen, understanding business implications of decisions, demonstrating knowledge of market and competition, and aligning work with strategic goals Reasoning Ability Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. Ability to define problems, collect data, establish facts, and draw valid conclusions. Mathematical Skills Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis of variance, correlation techniques, sampling theory, and factor analysis. Language Skills Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. . Ability to read, analyze, and interpret the most complex documents. Work Location - Onsite - San Diego Travel - This position requires no travel however attendance maybe required at various local conferences and meetings. The Perks: Medical / Dental / Vision / Wellness Programs Paid Time Off / Company Paid Holidays Incentive Compensation 401K with Company match Life and Disability Insurance Tuition Reimbursement Employee Referral Bonus To explore all that MedImpact has to offer, and the greatness you can bring to our teams, please submit your resume to ************************* MedImpact, is a privately-held pharmacy benefit manager (PBM) headquartered in San Diego, California. Our solutions and services positively influence healthcare outcomes and expenditures, improving the position of our clients in the market. MedImpact offers high-value solutions to payers, providers and consumers of healthcare in the U.S. and foreign markets. Equal Opportunity Employer, Male/Female/Disabilities/VeteransOSHA/ADA: To perform this job successfully, the successful candidate must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.

Job Description We are seeking a strong skilled SQL developer with python scripting experience in the healthcare industry. The ideal candidate should have several years of experience in data analysis and data modeling using SQL, Python, and data visualization tools such as PowerBI, SSRS, Qlik. Experience with CMS (Center for Medicare and Medicaid) and Value Based Care programs is highly preferred with an emphasis on knowledge with claims data (CCLF) and electronic medical records (EMRs). Key Responsibilities: Estimate impact with rigorous retrospective analyses (LOS, readmissions, mortality, reimbursement). Contribute into building end-to-end data modeling of clinical and claims data. Productionize efficient, reusable, and reliable SQL code to meet business requirements and help to define technical requirements as needed. Develop, test, and maintain reporting in Power BI driven from electronic medical records data, claims data, HIE data, Salesforce data and other external data sources. Collaborate with cross-functional teams to understand and define, design, and deliver new reports, dashboards, features and enhancements. Create comprehensive reports and data visualizations using Power BI to support decision-making processes. Ensure the performance, quality, and responsiveness of reporting tools. Maintain up-to-date knowledge of emerging technologies and industry trends. Participate in code reviews and contribute to a culture of continuous improvement. Ensure compliance with healthcare regulations and standards, including HIPAA. Required Qualifications: Bachelor's degree in computer science, Information Technology, or a related field, or equivalent practical experience. Four plus years of experience in working with Medicare Shared Savings Program Strong understanding of claims and EMR data structures. Proficiency in back-end technologies such as Node.js, Python, Ruby, Java, or .NET. Experience with database management systems such as Azure, SQL, and MySQL. Expertise in report writing and data visualization using Power BI in the healthcare industry. Strong understanding of healthcare regulations and standards. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in the Costa Mesa office 1-2 days per week (at discretion of hiring manager). Preferred Qualifications: Strong understanding of CMS and Value Based Care programs such as MSSP. Good understanding with Azure, MySql, MSSQL and Data Factory. Knowledge of healthcare interoperability standards (e.g., HL7, FHIR). Experience with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins, Github). Familiarity with Agile development methodologies. Familiar with LLM and AI technology solutions in healthcare.

With 30 years at the forefront of fintech innovation, we specialize in SaaS lending solutions that lead the industry. Our core mission is customer-centric, focusing on empowering Credit Unions across the United States with the tools to offer accessible, competitive lending services. We're deeply committed to enhancing the financial ecosystem for a broad network of credit unions, members and auto dealers. We invest in our greatest assets, our employees, and foster a culture of innovation and ownership through freedom and responsibility. We celebrate fiscal accountability, operational rigor and efficiency to create a sustainably healthy and robust business for the long term. About you You are a self-driven, conscientious, fiscally responsible, self-aware, passionate and compassionate professional. You are comfortable with ambiguity, eternally curious, and love problem solving. You operate as an owner and work with a growth mindset. You are extremely productive on your own, and act as a multiplier collaborating with others. You are tireless in questioning the status quo and pursue the best answers to the hardest problems to the benefit of the business. Your focus is strong and capable of context switching and pivoting with the business. In the vacuum of leadership, you assume it. We are seeking an experienced AI/ML Data Scientist to join Origence's AI team and lead the development of cutting-edge artificial intelligence solutions for our lending technology platform. The successful candidate will design and deploy advanced ML models, implement AI-driven automation across our lending processes, and spearhead the integration of generative AI technologies to enhance our digital lending solutions for credit unions and community banks. This role offers the opportunity to work at the forefront of AI in fintech, building production-scale machine learning systems that process millions of lending decisions while exploring emerging AI technologies like large language models and computer vision for document processing. What You ll Be Doing: AI/ML Model Development & Deployment Design, develop, and deploy advanced machine learning models for real-time credit decisioning, and document processing. Build and optimize neural networks for fraud detection, loan default prediction, and customer lifetime value modeling using TensorFlow, PyTorch, or similar frameworks Implement automated machine learning (AutoML) pipelines to streamline model development and hyperparameter optimization Create natural language processing solutions for loan application analysis, customer service automation, and regulatory compliance monitoring AI Infrastructure & MLOps Build and maintain scalable ML infrastructure using cloud platforms (Primarily Azure, but can extend to AWS, GCP) Implement MLOps best practices including model versioning, continuous integration/deployment, and automated monitoring Develop A/B testing frameworks for ML models to measure performance and business impact in production Create automated model retraining pipelines and drift detection systems Generative AI & Emerging Technologies Research and implement generative AI applications for loan document processing, customer communication, and risk assessment reporting Develop retrieval-augmented generation (RAG) systems for intelligent customer support and regulatory compliance assistance Explore large language model fine-tuning for financial domain-specific applications Investigate federated learning approaches for privacy-preserving model training across multiple financial institutions Collaboration & Communication Create data visualizations, dashboards, and reports to communicate findings to product teams, risk management, and executive leadership Collaborate with cross-functional teams including product development, risk management, and engineering to define analytical requirements and KPIs for lending products Present complex financial analyses to diverse stakeholders, translating technical findings into business-actionable insights Experimentation & Optimization Design and conduct A/B tests to optimize loan application processes, approval rates, and customer experience across Origence's digital lending platform Implement statistical testing methodologies to measure the impact of product changes and business initiatives Continuously monitor and improve model performance and accuracy The Ideal Candidate: Education: Master's degree or PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or related technical field Experience: 4+ years of hands-on experience developing and deploying ML models in production environments, preferably in financial services or fintech Proven track record of building end-to-end ML systems from research to production deployment Experience with both supervised and unsupervised learning techniques, deep learning, and reinforcement learning Specialized Skills: Technical Skills Expert-level proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM) Strong experience with cloud ML platforms (Primarily Azure, but can extend to AWS, GCP) Proficiency in MLOps tools and practices (MLflow, CI/CD for ML) Experience with big data technologies (Spark, Kafka, Airflow) and distributed computing Knowledge of SQL, NoSQL databases, and data engineering principles Familiarity with model interpretation techniques (SHAP, LIME) and explainable AI methods AI/ML Specializations Experience with transformer architectures, attention mechanisms, and large language models Knowledge of computer vision techniques for document processing and image analysis Understanding of natural language processing, text mining, and sentiment analysis Familiarity with generative AI models (GANs, VAEs, diffusion models) Experience with time series forecasting and sequential modeling techniques Domain Knowledge Understanding of loan origination principles and lending industry metrics Knowledge of common financial ratios, loan performance indicators, and risk assessment methodologies Awareness of regulatory environment affecting consumer and commercial lending Preferred Qualifications: Advanced AI/ML Experience PhD in Machine Learning, AI, or related field with publications in top-tier conferences (NeurIPS, ICML, ICLR, etc.) 6+ years of experience building production ML systems at scale in fintech, banking, or related regulated industries Experience leading AI research initiatives or managing ML engineering teams Track record of patents or open-source contributions in AI/ML Cutting-Edge AI Technologies Hands-on experience with foundation models, prompt engineering, and LLM fine-tuning (GPT, BERT, T5, etc.) Knowledge of multi-modal AI systems combining text, vision, and structured data Experience with federated learning, differential privacy, and privacy-preserving ML techniques Familiarity with quantum machine learning or neuromorphic computing approaches Understanding of AI ethics, bias detection, and fairness in ML systems Technical Leadership Experience with MLOps at enterprise scale, including model governance and risk management Knowledge of edge AI deployment and model optimization for mobile/embedded systems Background in distributed training, model parallelism, and large-scale inference systems Familiarity with AI accelerators (GPUs, TPUs, specialized AI chips) and performance optimization Why you should apply: Flexible Working Environment Paid Time Off 401k (8% match) College Tuition Benefits/ Tuition Reimbursement Good Benefits options Company Culture! Cultural and Holiday celebrations, Theme days like Star Wars Day & Bring your Kids to Work Day, Monthly Townhalls and Quarterly Company Meetings that ensure awareness, inclusion, and transparency. The starting salary range for this full-time position in Irvine, CA is $147900 - $184900 per year. This base pay will take into consideration internal equity, candidate s geographic region, job-related knowledge and experience among other factors. Origence maintains a highly competitive compensation program. Under company guidelines, this position is eligible for an annual bonus to provide an incentive to achieve targeted goals. Bonuses are awarded at company s discretion on an individual basis. Origence is an equal opportunity employer. All recruitment, hiring, training, compensation, benefits, discipline, and other terms and conditions of employment will be based upon an individuals qualifications regardless of race, religion, color, sex, gender identity, sexual orientation, national origin, ancestry, military service, marital status, pregnancy, age, protected medical condition, genetic information, disability or any other category protected by federal, state or local law.

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins We Care Deeply: We embrace our differences, do the right thing, and encourage each other The Position: This is a remote friendly position. On-site cube available in South San Francisco or San Diego. We are seeking a talented and experienced AI/ML data scientist to join our Veracyte's Data Science team. This position offers a unique opportunity to work with experienced professionals to drive research and develop new diagnostic products employing one of the world's largest clinical cancer databases, encompassing multi-platform digital pathology, genomic and clinical outcome data. The successful candidate will develop digital pathology AI models for a wide range of clinical and pathology outcomes by applying and adapting state-of-the-art vision/vision-language foundation models to whole-slide images (WSIs). As a Data Scientist III at Veracyte, the candidate will be expected to assist in developing innovative solutions to complex problems under company's objective. This work will be conducted in close collaboration with other teams, including internal medical and business development teams, as well as key opinion leaders, with whom we collaborate on identifying relevant data, and developing computer vision models. The ability to explain AI/ML concepts to both experts and non-experts, including formal presentation, academic writing, and generation of publication-quality figures will be key necessary talents. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills. KEY RESPONSIBILITIES: Develop digital pathology AI (DPAI) models with WSI data to predict clinical outcome and pathological/morphologic features, including adapting open-source state-of-the-art AI foundation models to Veracyte's data. Evaluate and analyze DPAI models with respect to clinical, pathological and genomic outcomes or features, with a view to linking explainability of model features to biology. Design and carry experiments to compare and evaluate DPAI methods. Document and explain the results. Collaborate with both internal and external partners to understand the clinical and business requirements for given products and tailor algorithms accordingly. Work with bioinformatician, statistician, and medical experts to document projects, including generating analyses and visualizations for publication in peer-reviewed journals. Who You Are: REQUIRED EXPERIENCE: PhD in Data Science, Machine Learning, Applied Math or equivalent field. 5+ years of experience of data/applied scientist role or equivalent Expert in Python or equivalent language for AI/ML development in the context of computer vision / DPAI (this includes data manipulation and preparation.) Experience in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects). Experience working in cloud computing environments (AWS preferred). Demonstrated proficiency in summarizing and communicating findings from data, including an attention to detail when sharing findings. Ability to work effectively in a fast-paced and collaborative environment. Eagerness to learn new technologies and adapt to evolving requirements. RELEVANT EXPERIENCE (preferred but not required): Knowledge of cancer biology Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD). Experience working with real world clinical data. #LI-Hybrid, or #LI-Remote The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range$130,000-$171,000 USDWhat We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit **************** or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice. If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to ********************

Associate Scientist Data Science We are seeking a highly skilled data scientist specialized in machine learning, genomics and metabolic modeling applied to ingredient discovery to help discover next-generation taste ingredients. The candidate would join dsm-firmenich's Data Science Ingredient Modeling unit and work with a talented team of data scientists, chemists and biologists mapping our sense of taste. Our team is at the forefront of leveraging protein and molecular AI and bioinformatics applied to taste receptor biology to uncover new possibilities in taste and health for our clients and their customers. This role offers the opportunity to contribute to interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and receptor science while working in close collaboration with leading domain experts. Your Key Responsibilities: * Use data science, ML/AI, genomics and metabolic modeling to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich's taste, texture and health segments. * Develop and implement accurate bioinformatics- ML/AI based methods to explore biological diversity and the chemical space of natural products for discovery of natural taste ingredients. * Use existing, and generate new, virtual libraries, to assist in silico screening of taste receptors. * Contribute to the development and adoption of best practices and common computational tools by our global community of data scientists and scientists. * Stay up to date on the latest advancements in computational biology, protein and molecular AI and modeling approaches. * Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in python. Familiarity with good use of coding agents preferred. * Team-up with other data scientists and life science experts around the globe to drive project success We Bring: * Opportunity to join a dynamic and thriving team applying ML and other modeling techniques to biology and chemistry. * Highly motivated, professional and committed multicultural and interdisciplinary team. * Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty. * Grow and develop your skills through our in-house training courses. * Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. * A commitment to science-based innovations with 2000 scientists and 700 MM annual S&R investments. You Bring: * Master's degree in Cheminformatics, Bioinformatics, Computer Science, Artificial Intelligence, or a related field. * 3-5 years of additional academic (e.g. PhD studies) or industry work experience in ML/AI and bioinformatics applied to ingredients, or small molecule discovery, ideally in the chemosensory biology field. * Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. * Strong skills in a combination of computational biology, genomics, retrobiosynthesis and metabolic modeling, including hands-on experience with development, deployment and benchmarking of ML/AI based tools applied to those problem fields. * Ideally, understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels. * Proficiency in modern ML, python, good code management/version control such as Git, and working with Continuous Integration/Continuous Delivery/Deployment (CI/CD) pipelines. * Excellent problem-solving skills and proven ability to work both independently and collaboratively. * Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $97,000 -$139,000. About dsm-firmenich At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we go beyond, together. The application process Interested in this position? Please apply online by uploading your resume in English. Inclusion, belonging and equal opportunity statement At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. Agency statement We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role

Genomic Life is seeking an experienced Data Scientist to join our team! The Data Scientist is responsible for analyzing large-scale genomic data using statistical methods, machine learning, and bioinformatics to find and deliver clinical insights. Working with the Medical Affairs group as part of the Data Engagement Team, you will be focused on compiling, analyzing, and interpreting large data sets to identify trends and uncover insights. You will partner with the Head of Medical Affairs and other key stakeholders to deliver these high-quality insights to Genomic Life's clients and demonstrate the value of genomics and navigation. Job Type: Full-time Location: San Diego or Remote Salary Range: $110-150k Responsibilities: Compile, analyze, and interpret large data sets to identify trends, patterns, and provide key business and client insights Refine and enhance client-centric reporting requirements and continuous data insights for scientific and commercial initiatives Develop a database resource for broad analysis and assessment across multi-sourced genetic and clinical data Perform data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases Develop reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools Identify relevant data sources and sets to mine for client needs, and collect large structured and unstructured datasets Maintain continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support Design, develop, and implement valuable data-driven solutions for the organization Serve as a lead data strategist to identify new datasets that can be leveraged through our product capabilities Collaborate with the product team to implement analytical models and standard validation procedures for data sets to release to production Transition validated data sources to a self-service analytic and reporting framework Work to develop AI generated insights for analytics and forecasting Partner with the product and operational teams to enhance our internal processes for business analytics, data quality monitoring, data issue resolution and operational excellence Requirements: 5 or more years of experience in a data scientist role Bachelor's degree or higher in computer science, mathematics, engineering, or a related field Deep experience with medical data/records Experience with genetic data, genetic terminology and HPO terms Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Knowledge of AWS managed services is preferred (S3, DynamoDB) Ability to work effectively in a dynamic, research-oriented group with multiple concurrent projects and competing priorities Strong written and verbal communication with experience preparing manuscripts a plus Strong analytical capabilities Strong attention to detail, and excellent time-management skills Knowledge of Salesforce.com Knowledge of JIRA, Confluence, and other project management tools Ability to work in fast paced, start-up environment Experience in the employer benefits space is preferred About Genomic Life: Genomic Life's mission is to be the best in the world at navigating individuals to the genomics that matter. We provide clinically relevant proactive genetic testing all in one program, making it easy to prevent, diagnose, and treat disease. Our nationwide team is driven to make a difference for the members, clients, and patients we serve. We are bringing the science of today to the medicine of tomorrow. We are passionate about what we do and the extraordinary transformation that genomics will have on healthcare.

Do Epic Science TAE is the world's first private fusion energy company, founded in 1998 to commercialize the cleanest, safest, most affordable, and sustainable form of carbon-free power. We are applying science and engineering to design transformational technologies. Whether it's harnessing fusion through the science of stars, making exponential leaps in power efficiency, or innovating medical care with a novel cancer treatment: We're turning the promise of science into reality. We're looking for candidates who are passionate about realizing our mission: A future where all people have affordable access to reliable, abundant, and environmentally friendly fusion-generated electricity. About The Role We are seeking skilled data scientists to join our Data Science team at TAE Technologies. The experimental groups generate large and complex data sets, and only through advanced post-processing and modeling can these data reveal the secrets to the behavior of magnetically confined fusion plasma. By leveraging these insights, we aim to tackle the challenges of fusion energy development and deepen our understanding of plasma behavior. About You Pipeline Development and Maintenance: Help plan, develop, deploy, and maintain the entire Data Science pipeline at TAE, from data acquisition and storage to processing, visualization, and deployment. Data Processing and Knowledge Distillation: Collaborate with scientific staff and domain experts to iterate on prototype algorithms, converting them into robust scientific data processing routines. Software Product Life Cycle Management: Be responsible for all stages of the software product life cycle, including planning, analysis, coding, debugging, testing, deployment, and maintenance. Experimental Operations Support: Serve as a vital part of daily experimental operations by real-time monitoring and processing of data, ensuring experiments proceed smoothly, producing high-quality results. Task Management and Collaboration: Effectively manage multiple tasks independently and in a collaborative environment, ensuring timely and successful completion. Required Skills PhD in physics or related field 3+ years developing in python Experience using common python data analysis and visualization packages such as NumPy, SciPy, Pandas, and Matplotlib Able to work in a diverse R&D environment and communicate effectively and professionally with co-workers at all levels Passion for data integrity as this is central to what we do as a team Like to have: Ph.D. in plasma physics Familiarity with one or more Machine Learning libraries like Scikit-Learn, TensorFlow, and/or Keras Exposure to applying Bayesian statistical inference tools to experimental data Familiarity and comfort using the command line Education Ph.D. in Physics or related field At TAE Technologies, we consider a wide range of factors when making compensation decisions including but not limited to skill sets; experience and job-related knowledge, training; licenses and certifications, and other business and organizational needs. The total compensation package for this position may also include other elements depending on the position offered (non-Sr., Sr., Lead or Manager). The compensation range for these roles are $130,000 - $150,000 About US Imagination, skill, and will We are a diverse team of over 500 engineers, scientists, professionals, Maxwell Prize winners, and big thinkers from more than 40 countries with a track record of delivering on the innovative ways science can lead humanity into a brighter era. We are not afraid to envision a future where fusion and science can transform our world. What you'll get with us * Generous benefits such as Medical, Dental, Vision, 401 (K) with company match, paid vacation + sick time, companywide December holiday, wellness program, parental leave * Payment rewards: For referring talent, novel research, and patents * A collaborative environment: An organization where talents and interests can plug in to different groups throughout the organization Potential for equity participation * HQ in Southern California * Employee events on and off-site * A commitment to upholding and growing an inclusive organization Learn more tae.com Our podcast Good Clean Energy Instagram LinkedIn TAE Technologies is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. We ensure all individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us ****************** to request accommodations or request more information. Note to Agencies: TAE prefers to hire directly and maintains an existing preferred supplier list. We do not accept speculative CVs or referrals from agencies. If speculative CVs are sent, no fee will be applicable.

Associate Scientist Data Science We are seeking a highly skilled data scientist specialized in machine learning, genomics and metabolic modeling applied to ingredient discovery to help discover next-generation taste ingredients. The candidate would join dsm-firmenich's Data Science Ingredient Modeling unit and work with a talented team of data scientists, chemists and biologists mapping our sense of taste. Our team is at the forefront of leveraging protein and molecular AI and bioinformatics applied to taste receptor biology to uncover new possibilities in taste and health for our clients and their customers. This role offers the opportunity to contribute to interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and receptor science while working in close collaboration with leading domain experts. Your Key Responsibilities: Use data science, ML/AI, genomics and metabolic modeling to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich's taste, texture and health segments. Develop and implement accurate bioinformatics- ML/AI based methods to explore biological diversity and the chemical space of natural products for discovery of natural taste ingredients. Use existing, and generate new, virtual libraries, to assist in silico screening of taste receptors. Contribute to the development and adoption of best practices and common computational tools by our global community of data scientists and scientists. Stay up to date on the latest advancements in computational biology, protein and molecular AI and modeling approaches. Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in python. Familiarity with good use of coding agents preferred. Team-up with other data scientists and life science experts around the globe to drive project success We Bring: Opportunity to join a dynamic and thriving team applying ML and other modeling techniques to biology and chemistry. Highly motivated, professional and committed multicultural and interdisciplinary team. Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty. Grow and develop your skills through our in-house training courses. Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. A commitment to science-based innovations with 2000 scientists and 700 MM annual S&R investments. You Bring: Master's degree in Cheminformatics, Bioinformatics, Computer Science, Artificial Intelligence, or a related field. 3-5 years of additional academic (e.g. PhD studies) or industry work experience in ML/AI and bioinformatics applied to ingredients, or small molecule discovery, ideally in the chemosensory biology field. Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. Strong skills in a combination of computational biology, genomics, retrobiosynthesis and metabolic modeling, including hands-on experience with development, deployment and benchmarking of ML/AI based tools applied to those problem fields. Ideally, understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels. Proficiency in modern ML, python, good code management/version control such as Git, and working with Continuous Integration/Continuous Delivery/Deployment (CI/CD) pipelines. Excellent problem-solving skills and proven ability to work both independently and collaboratively. Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $97,000 -$139,000. About dsm-firmenich At dsm-firmenich, we don't just meet expectations - we go beyond them. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we go beyond, together. The application process Interested in this position? Please apply online by uploading your resume in English. Inclusion, belonging and equal opportunity statement At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. Agency statement We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role

At AoPS, data sits at the heart of how we grow and deliver our mission. We serve tens of thousands of students around the world, generating data about how families discover us, how students learn, and how our operations scale. Yet, like our curriculum and teaching, the true value of our data comes from how well we can translate it into actionable insight. AoPS is unique because it brings together academics, operations, and technology under one roof. We design our own curriculum, run physical academies, deliver online courses, and build the platforms that power it all. This created a rich and complex data environment--one that grew organically as the business grew and we are working on creating a more cohesive stack so every business line runs on the same system. Your job will be to turn raw data into clear, actionable insights, while proactively identifying areas for improvement. We are hiring a Data Scientist to support our Academics department and course experience team with learning research, advanced analytics, and experimentation. In this role, you will bridge the gap between the data that our curriculum developers and customers generate and the evidence we need to improve learning outcomes, instructional design, and student experience. You will own analytic frameworks, build statistical and machine learning models, and collaborate closely with curriculum developers, product teams, and senior academic leadership. The Data Scientist (Academics) will: Take ownership of learning analysis and applied research for the Academics department, ensuring analyses, models, and data tools are accurate and aligned with strategic goals. Partner with stakeholders to translate academic, curriculum, and product questions into testable hypotheses, measurable outcomes, and business decisions. Work with the data team to define, govern, and validate the metrics, features, and data structures needed to support consistent, science-driven analyses. Use SQL and Python to power analyses, modeling, reproducible research, and data-driven recommendations. Proactively investigate patterns and anomalies in learning data to uncover meaningful trends, identify drivers of student outcomes, and separate actionable insights from background noise. Champion data literacy and effective analytic practices across the organization. Completes other tasks and responsibilities, as assigned. The ideal candidate has: 2-4 years of experience in data science, applied statistics, quantitative research, or similar analytical role with a track record of driving meaningful impact. Proficiency in Python for data analysis, statistical modeling, and machine learning (using packages like pandas or polars for data manipulation, scikit-learn or statsmodels for model development, and PySpark or Dask for distributed computing). Experience using tools and best practices for reproducible research (e.g., version-controlled analysis, environment management, documented workflows) and with MLOps to ensure analyses and models are stable, repeatable, and maintainable. Strong understanding of concepts relevant to learning research, such as experimental design, hypothesis testing, feature engineering, regression modeling, causal inference, clustering, and evaluating data quality in educational or behavioral datasets. Experience using SQL data warehouses such as Redshift, Snowflake, or BigQuery to gather and transform data for analysis. We use Redshift and dbt. Experience using data visualization or BI tools like Lightdash, PowerBI, Tableau, or Looker. We use Lightdash. Excellent communication skills with the ability to gather requirements from stakeholders, prioritize potential projects, and translate complex quantitative findings into actionable insights for the academics team. Why Join AoPS: This is a hybrid full-time position based at our headquarters in San Diego, CA. The full salary range for this position is 137.8k - 169.6k. Here are some things you can look forward to: Impact: Transform learning data into evidence-based insights that help us create more effective courses and better outcomes for the next generation of problem solvers. Flexibility: Casual work environment with a hybrid work week and flexible scheduling Benefits: Multiple options for Medical, Dental and Vision plans Future Planning: 401K with company match Quality of Life: PTO Plan and supportive leadership that gives you the work-life balance you deserve Ease of Transition: Relocation bonus (if currently located outside of San Diego) Background Check: Please note that employment is contingent on the successful completion of a background check. Work Authorization: Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B. About AoPS: Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the country's top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem solving curriculum into more subjects, such as language arts, science, and computer science.

Scismic is supporting a global consulting company that fosters a highly collaborative and inclusive culture, encouraging creativity, growth, and innovation. With a team of over 1,000 professionals across 50 global markets, the organization partners with world-class clients to solve complex business challenges across diverse industries. The company values a “builder's mindset,” empowering employees to create new solutions, develop lasting impact, and grow their careers in a supportive environment. The company is seeking an exceptional Senior Data Scientist with deep expertise in Natural Language Processing and Large Language Models to join the consulting practice. You'll work directly with Fortune 500 clients to solve complex business challenges using state-of-the-art AI technologies across diverse industries. Ideal Candidate Profile You combine academic rigor with practical engineering skills and exceptional client communication abilities. You will work end-to-end from project initiation through client delivery, comfortable both building sophisticated algorithms and presenting findings directly to clients. You excel at automating repetitive tasks and developing reusable frameworks that scale across multiple engagements. You should be comfortable implementing cutting-edge research while translating complex technical concepts into actionable business strategies. Strong presentation skills and the ability to build trust with senior executives are essential. Equal Opportunities Our mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer. In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k-$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401k program and comprehensive benefits plan. Additional perks and benefits include a month-long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.Responsibilities: Lead client workshops and discovery sessions to identify NLP opportunities Develop and present technical proposals to C-level executives Manage multiple client projects simultaneously while maintaining quality and timelines Design and implement novel NLP solutions for complex business problems Architect scalable solutions for processing and analyzing large text corpora Build custom language models tailored to each client's unique industry challenges Automate repetitive analytical tasks and develop reusable algorithmic frameworks Mentor junior data scientists and provide technical guidance on NLP projects Develop automated content analysis, document processing, and customer insight systems Create scalable text analytics platforms that drive measurable business outcomes Work across retail, finance, healthcare, and media sectors Translate complex AI capabilities into clear business value propositions Technical Environment: Languages: Python (primary), R, SQL, potentially C++ for optimization ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Infrastructure: Kubernetes, Docker, cloud platforms (AWS/GCP/Azure) Tools: MLflow, Weights & Biases, Apache Airflow, Spark, Vector databases Required Qualification: PhD in Computer Science, Computational Linguistics, Statistics, Mathematics, Economics, Econometrics, or related quantitative field Minimum 5 years of professional experience in data science, machine learning, or related roles Advanced NLP expertise: Deep understanding of transformer architectures, attention mechanisms, and modern NLP techniques Large Language Model proficiency: Hands-on experience with LLM fine-tuning, prompt engineering, RLHF, and deployment at scale Programming mastery: Expert-level Python, with strong knowledge of PyTorch/TensorFlow, Hugging Face ecosystem MLOps & Infrastructure: Experience with model deployment, monitoring, and scaling in production environments Experience writing production code and ensuring well-managed software delivery Experience with foundation models (GPT, BERT, T5, LLaMA, etc.) Knowledge of retrieval-augmented generation (RAG) systems Understanding of model compression techniques (quantization, distillation, pruning) Experience with evaluation metrics and benchmarking for language models Preferred: Experience in consulting or client-facing technical roles Knowledge of specialized domains (healthcare NLP, legal AI, financial text analysis) Cloud platform expertise (AWS SageMaker, Google Cloud AI, Azure ML) Open-source contributions to major ML/NLP libraries Benefits: Hybrid work environment with home and office schedule (2+ days in office per week) and work from anywhere weeks Comprehensive health benefits (healthcare, vision, dental, pet, home, and auto insurance) Generous time off policies (unlimited paid time off, wellness days, national holidays, summer Fridays) Four-week sabbatical every five consecutive years of employment Exceptional parental leave benefits Global mentorship and networking programs Monthly cell phone reimbursement 401k savings and employee stock purchase plan Volunteer hours (20 hours annually) for designated non-profit partner and personal choice Globally driven inclusive initiatives (Employee Advocacy Groups, equity committee) Career growth opportunities (multi-day customized trainings for each level) Equal Opportunities: Our mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer. In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k-$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401k program and comprehensive benefits plan. Additional perks and benefits include a month-long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.

Job Description Senior Data Scientist - Urban Mobility and Location Intelligence On-Site (3+ days / week) - SAN DIEGO, CALIFORNIA (Little Italy) About Us Motionworks is a leader in population intelligence-providing past, present, and predictive insights on how the total population moves throughout the physical world. We transform billions of GPS traces, POI databases, and behavioral signals into actionable insights for retailers, advertisers, urban planners, and transportation agencies across North America. Our Population Intelligence Platform tackles one of the hardest problems in data science: inferring population-level behavior from sparse, noisy, messy location data. We don't have the luxury of clean datasets-we work with terabytes of real-world GPS traces where some data is good, some is not, and the signal often hides in the noise. Job Summary We're hiring a Senior Data Scientist to lead methodology development for our core population modeling systems. This is not a data engineering role-we have engineers who productionize your work. This is an applied research and modeling role where you'll design, defend, and validate statistical models that turn observed travel behavior from millions of devices into robust population-level insights. At the end of the day, we need results, not just research. Your work will directly shape how we measure foot traffic, predict travel patterns, and distinguish meaningful signals from noise at national and international scale. You will be tasked with: Designing and validating Bayesian inference models to extrapolate observed location data to unobserved populations Developing methods to distinguish personal travel from commercial delivery patterns in ambiguous GPS traces Building statistical frameworks for handling varying data quality and penetration rates across geographies Creating defensible models for trip purpose inference, stay-point detection, and behavioral segmentation Writing concise technical documentation to explain methodology to internal stakeholders and clients Prototyping approaches that engineering teams can translate into production pipelines (Python, SQL, or other cloud-native tools) Recommending new data acquisitions and validation techniques to improve model performance Required Qualifications and Skills 8-10 years of applied experience working with large-scale location, mobility, or behavioral data (OR Master's/PhD + demonstrated applied work in transportation/retail analytics) Proven experience at scale with messy, real-world datasets-hundreds of millions of records, imperfect data quality, sparse observations Deep statistical foundations: Can derive likelihood functions, explain model assumptions, defend methodological choices with mathematical rigor Bayesian inference expertise: Experience with hierarchical models, prior specification, and uncertainty quantification-critical for extrapolating from sparse observations to population-level insights and handling varying data quality across geographies Strong technical skills: Python (NumPy, pandas, scikit-learn, statsmodels, PyMC or similar) and SQL for complex queries and data exploration in BigQuery/Spark environments Domain intuition: Understanding of how people move through cities-even if you discover patterns empirically, you should recognize when results align with or contradict transportation theory Ideal Background Experience at a technology company working on mobility/logistics problems at global scale Familiarity with travel behavior concepts (trip chaining, mode choice, origin-destination modeling) GIS/geospatial analysis skills (PostGIS, H3, spatial joins) Exposure to travel survey data (NHTS, household travel surveys) Salary Range $200k-$240k Location San Diego, California (Little Italy) Benefits Medical, dental, and vision coverage for you and your dependents First year of employment gives two weeks of PTO, four weeks thereafter 14 holidays and flex holidays 401(k) plan Employee equity Applicants must be legally authorized to work in the United States. This position is not eligible for employer-sponsored work visas now or in the future. Motionworks does not discriminate in employment on the basis of race, color, religion, sex, pregnancy, gender identity, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, parental status, military service, or other non-merit factor.

Applicants must have current authorization to work in the United States on a full-time basis. The Data Scientist is responsible for the collection, management, and analysis of internal data to support modeling and collections strategies across all revenue channels. The Data Scientist is also responsible for the score-based valuation of existing collections portfolios at all levels of aggregation and/or the development of credit scores to support valuation and collections activities; collaborates with group analysts as they specify and validate collections strategies, maintain collections forecasts, and revise and improve our predictive models. This position works with partners in Marketing, Acquisitions, and Operations to aid in the development and implementation of score-based and logic-based collections practices. This role is equally comfortable discussing the academic merits of a statistical and advanced machine learning approaches or the ways in which a forecasting model will impact a business channel's revenue and cost expectations RESPONSIBILITIES Works with partners in Operations to aid in the development and implementation of score-based and logic-based collections practices. Works closely with Managers during the creation and validation of valuation products. Responsible for the collection, management, and analysis of internal data to support modeling and collections strategies. Implements, tracks, and validates score-based collections strategies. Facilitates the use of Data Science methodologies throughout the servicing operation. MINIMUM REQUIREMENTS EDUCATION: Bachelor's FIELD OF STUDY: Statistics, Engineering, or qualitative science EXPERIENCE: 2+ years of Data Scientist or related experience KNOWLEDGE, SKILLS, ABILITIES, AND OTHER ATTRIBUTES: Intermediate to Advanced Proficiency in MS Office and other systems Extensive understanding of relevant knowledge Intermediate to Advanced Proficiency of the following: Proficiency with base SAS and Python or R Expertise with formal statistical methodologies Strong knowledge of some or all the following: Logit models Generalized linear models. Categorical data analyses ANOVA and regression ML packages, cloud computing Proficiency with MS Office, particularly Excel. PREFERRED QUALIFICATIONS EDUCATION: Master's or Advanced FIELD OF STUDY: Statistics, Engineering or a quantitative science EXPERIENCE: Additional experience that would help; quantify where possible KNOWLEDGE, SKILLS, ABILITIES, AND OTHER ATTRIBUTES: Intermediate to Advanced Proficiency in MS Office and other systems Extensive understanding of relevant knowledge Intermediate to Advanced Proficiency Proficiency with base Python or R Expertise with formal statistical methodologies Strong knowledge of some or all the following: Logit models Generalized linear models. Categorical data analyses ANOVA and regression ML packages, cloud computing Proficiency with MS Office, particularly Excel. #LI-KL1 Starting Compensation Annual Salary: $82,500.00 - $107,199.00 (Amount based on office location, relevant experience, skills, and competencies) If you are wondering why you should work for us, here is something to help you decide: Pay and Bonuses: Earn a competitive salary. All employees are eligible for monthly incentives or annual bonus. Career Progression: Grow at MCM with paid training and development programs - including our very own MCM Academy - as well as a promote-from-within philosophy. Reward and Recognition: We are committed to honoring great results - ranging from informal accolades to formal company-wide awards and prizes like all-inclusive vacations. Tuition Assistance: Pursue a degree or coursework related to your current role, or the role you are striving for. Healthcare Insurance: Take advantage of comprehensive healthcare plans and options to ensure your continued health, plus fitness membership reimbursements, weight watchers, our wellness rewards Program and more. Volunteering Opportunities: Enjoy up to eight hours of paid time off each year to volunteer. We also offer volunteer grants and matching financial donations, up to US$ 2,500 per employee annually. Retirement Savings: Build a strong financial foundation and reach your goals for the future. With all the effort you invest in us, we're proud to invest in you. New Family Support: Celebrate your new arrival with company paid leave, new parent flex time, and child back-up care options. Team-building: Enjoy experiences that inspire bonds with your colleagues through a wide range of company-sponsored team-building events, such as holiday celebrations and department outings. Work-Life Balance: Enjoy paid and floating holidays, as well as generous paid-time-off. Our compensation and benefits programs were created with an 'Employee-First Approach' focused on supporting, developing, and recognizing YOU. We offer a wide array of wellness and mental health initiatives, support volunteerism, and environmental efforts, encourage employee education through leadership training, skill-building, and tuition reimbursements, and always strive to provide promotion opportunities from within. About Us Headquartered in the United States, Encore Capital Group (Encore) is a publicly traded international specialty finance company operating in various countries around the globe. Through our businesses - such as Midland Credit Management and Cabot Credit Management - we help consumers to restore their financial health as we further our Mission of creating pathways to economic freedom. Our commitment to building a positive workplace culture and a best-in-class employee experience have earned us accolades including Great Place to Work certifications in many geographies where we operate. If you have a passion for helping others and thrive at a company that values innovation, inclusion and excellence, then Encore Capital Group is the right place for you. Encore Capital Group and all of its subsidiaries are proud to be an equal opportunity employer and are committed to fostering an inclusive and welcoming environment where everyone feels they belong. We encourage candidates from all backgrounds to apply. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected under applicable law. If you wish to discuss potential accommodations related to applying for employment, please contact ****************.

About Conciergi AI Are you eager to make a significant impact in the ever-evolving AI landscape? Join Conciergi AI, a dynamic leader in AI innovation, as a Senior Data Scientist. You'll work alongside a top-tier AI team to harness data, advanced analytics, and cutting-edge models to fuel strategic growth and deliver real-world impact. This is your chance to lead data-driven transformation, build intelligent systems, and push the boundaries of conversational AI and automation. We seek a versatile expert with deep proficiency in conversational AI, LLMs, agentic AI, retrieval systems, and end-to-end ML development, combined with a relentless drive to learn, experiment, and solve complex problems. From designing RAG-powered chatbots to securing data pipelines, you'll own critical initiatives that power our AI-enabled operators and customer solutions. Please note that we are a fully on-site environment based in Irvine, CA. For the right candidate, we are open to potentially considering remote/hybrid arrangements and visa sponsorship opportunities. Key Responsibilities: Design, build, and refine conversational AI systems using retrieval-augmented generation (RAG), combining large language models (LLMs) with vector search and retrieval. Develop data ingestion and embedding pipelines to support scalable, efficient information retrieval. Fine-tune and adapt LLMs for domain-specific use cases, covering prompt engineering, instruction tuning, and low-rank adaptation (LoRA). Integrate AI models into CRMs, workflow platforms and vendor management systems. Own the end-to-end development of machine learning algorithms, from data collection and feature engineering to model training, validation, and performance tuning. Research and prototype emerging ML architectures and retrieval strategies to enhance performance. Resolve and rerank RAG's training material data for a single source of truth. Translate business requirements into robust, data-driven technical solutions with measurable outcomes. Collaborate with engineering teams to deploy, scale, and monitor AI systems across the organization. Identify new opportunities to embed machine learning into business processes and workflows. Partner with Product, Marketing, Finance, Risk, and Operations to define and track key performance metrics. Continuously improve data pipelines for accuracy, accessibility, and scalability. Support cross-functional data science initiatives and perform additional duties as needed. Other duties as assigned. Qualifications & Requirements: Education: Bachelor's degree in a quantitative or technical field; Master's or Ph.D. preferred. 8+ years of professional experience in data science, AI, or applied machine learning. Proven experience in designing and building Voice AI systems and/or chatbots, including speech recognition, conversational agents, and real-time dialogue models. Hands-on proficiency with leading machine learning and deep learning frameworks, such as LangChain, Hugging Face, TensorFlow, PyTorch, Keras, scikit-learn, and pandas. 7+ years of strong programming expertise in Python/Pyspark and SQL, with proven experience deploying AI solutions in cloud environments (AWS or Google Cloud Platform). 2+ years of practical experience working with MCP, LLMs, generative AI, and conversational AI frameworks (e.g., LangChain, LangGraph, RAG, Vector Databases, AutoGen, CrewAI). 5+ years of specialization in at least one area of advanced modeling - predictive analytics, recommendation engine, reinforcement learning, natural language processing (NLP), or causal inference. 4+ years of experience translating complex AI and data science concepts into tangible business outcomes, including stakeholder engagement and value quantification. 4+ years leading end-to-end AI solution delivery, from data architecture and model orchestration to front-end integration and user adoption. Demonstrated excellence in communication, storytelling, and customer engagement, with the ability to present technical insights in a clear and impactful manner. Experience developing agentic AI systems for conversational analytics, autonomous reporting, or intelligent decision support. Proven ability to design, train, and deploy machine learning models for real-world applications. Strong expertise in data acquisition, preprocessing, and quality assurance for enterprise or industry-scale use cases. Bonus Points: Strong data analysis and visualization skills. Practical knowledge of data engineering. A proactive and open mindset with a willingness to learn and adapt to emerging technologies and techniques. Compensation The compensation for this position is $130k - $190k+ (depending on experience). Benefits at Conciergi AI Competitive health, vision, and dental benefits (covering 100% premium for employee and all dependent(s)) 401K (with employer matching) Health and wellness reimbursement Catered lunches 5x times a week Work sponsorship (if applicable) Other employee perks As part of our dedication to the diversity of our workforce, Conciergi AI is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. We're actively seeking a talented Sr Data Scientist to join our SMS Data Science team in Newport Beach, CA or Omaha, NE. Relocation assistance may be provided. As a Senior Data Scientist, you'll play a key role in Pacific Life's underwriting transformation journey as we use machine learning and AI to modernize our underwriting workflow. How you'll help move us forward: Lead the development and implementation of data-driven models and algorithms to enhance the underwriting process. Use AI to process unstructured medical data and incorporate it into our models Automate processes using LLMs and agentic frameworks Collaborate with cross-functional teams, including underwriting, actuarial, and technology, to identify opportunities for process improvement and innovation. Analyze large and complex datasets to extract actionable insights and support decision-making. Stay up-to-date with industry trends and advancements in data science and machine learning. Mentor and guide junior data scientists and analysts. Communicate findings and recommendations to stakeholders through clear and concise reports and presentations. The experience you bring: Bachelor's, Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field 8 + years experience working in Technology with focus on Data Science initiatives Strong proficiency in programming languages such as Python and SQL. Experience using LLMs to build agentic workflows Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn). Excellent analytical and problem-solving skills. Strong communication and presentation skills. Ability to work collaboratively in a team environment. What makes you stand out: Proven experience as a Data Scientist in the life/health insurance industry. Knowledge of life insurance underwriting processes and regulations is a strong plus. You can be who you are. We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife #LI-KP1 Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $148,230.00 - $181,170.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Senior Data Scientist Department: Clinical Science Reports to: CSO At Enchannel Medical, we're redefining the boundaries of electrophysiology with our next-generation DePolar™ mapping system and integrated NanoAblate™ PFA platform. Driven by our global mission to enhance the quality-of-life of heart rhythm patients, our discerning technology, paired with our passion for innovation, leads to enduring outcomes. Position Overview The Senior Data Scientist applies analytic methods to evaluate the technical performance and clinical application of EnChannel's 3D Mapping, PFA, and imaging platform in support of development, quality assurance, preclinical and clinical studies, regulatory submission, and publication in peer-reviewed journals. Duties and Responsibilities Design test's algorithms to evaluate the performance of navigation, mapping, and ablation methods (localizing electrode positions, generating 3D cardiac meshes, processing intracardiac signals, mapping electrophysiologic parameters, and assessing ablation lesions). Facilitate advancement and refinement of signal acquisition and processing algorithms. Assist in the design of preclinical study protocols and perform data analysis. Contribute to clinical research protocols and data analysis. Process and organize clinical data to establish and maintain a clinical database. Support R&D, Quality Assurance, and Regulatory Affairs data generation and analysis for submission to regulating and notified bodies. Contribute to the “Rhythm Library,” product documentation, educational material, and publications. Comply with quality system and regulatory requirements. Foster collaboration and respect within teams, physicians, and laboratory staff. Education, Experience and Skills Required Bachelor's degree or higher in Biomedical Engineering, Electrical Engineering, Physics, Biophysics, Biology, or Computer Science. 5+ years in cardiac electrophysiology product development or support. Knowledge of 12-lead ECG, intracardiac electrograms, cardiac anatomy, signal processing, electroanatomic mapping, and ML/AI. Proficiency in 2D/3D cardiac mapping, analytic geometry, programming (Python, R, SQL), data analysis (MATLAB, COMSOL, pandas, scikit-learn, TensorFlow), and data visualization (matplotlib, seaborn, Tableau). Cross-functional collaboration and project management experience. Strong communication skills, attention to detail, and ability to manage priorities under pressure. Ability to travel internationally Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum new hire pay for the position located in California. Within the range, individual pay is determined by location, additional factors, including job-related skills, experience, and relevant education or training. EnChannel Medical is an E-Verify and equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any basis covered under acceptable law. JOB CODE: 1360

Nearmap is the Australian-founded, global tech pioneer innovating the location intelligence game. Customers rely on Nearmap for consistent, reliable, high-resolution imagery, insights, and answers to create meaningful change in the world and propel industries forward. Harnessing its own patented camera systems, imagery capture, AI, geospatial tools, and advanced SaaS platforms, Nearmap stands as the definitive source of truth that shapes the livable world. Job Description Job Location: This is a remote position, with preference given to candidates based in the NYC metropolitan area and/or Southern CA The Insurance AI team conducts technical work to design, develop and support products that use Nearmap and third-party data to derive insurance risk insights. The Senior Data Scientist plays a pivotal role in designing, developing, and operationalizing advanced risk models that leverage Nearmap's AI data and third-party sources to deliver actionable insurance risk insights. This role bridges cutting-edge technical model development with actuarial applications, helping insurance companies integrate Nearmap's AI-driven intelligence into pricing, underwriting, modeling, and regulatory workflows. As a senior member of the Insurance AI team, you will: Lead modeling initiatives from conception through deployment. Serve as a trusted technical and domain expert for both internal teams and external clients. Drive innovation in how Nearmap's data is applied within insurance products and workflows. Provide strategic actuarial and statistical guidance to ensure models meet both technical rigor and practical business needs. This role requires the ability to seamlessly transition between in-depth technical work, high-level solution design, and client-facing consulting with senior insurance stakeholders. As such, deep experience working as a data scientist or actuary training and evaluating models in the property casualty (P&C) insurance space is critical. Key Responsibilities Technical Leadership in Model Development Lead the design, development, and refinement of insurance risk models using Nearmap AI data and other sources. Conduct exploratory data analysis, advanced feature engineering, model selection, training, validation, and performance optimization. Guide the integration of geospatial, property, and external datasets into scalable, production-ready solutions. 2. Actuarial & Regulatory Expertise Serve as a senior technical liaison to actuarial, data science, and pricing teams at insurance companies, ensuring successful adoption of Nearmap data in their workflows. Advise on and prepare regulatory filing materials, respond to objections, and ensure models meet compliance standards for property/casualty insurance. 3. Strategic Data Asset Development Spearhead efforts to grow and optimize Nearmap's proprietary policy and loss database for product and modeling innovation. 4. Client Engagement & Solution Integration Lead high-impact retro tests, validation studies, and custom analyses for top-tier insurance clients. Translate complex technical results into strategic business recommendations for senior decision-makers. 5. Thought Leadership & Mentorship Mentor junior team members on best practices in modeling, data analysis, and insurance-specific applications. Qualifications Key Requirements 5+ years of practical experience in property/casualty insurance in a data science or actuarial role, with a strong track record of delivering models and analytics in production environments. Proven leadership in complex modeling projects from ideation through deployment. Experience advising senior insurance stakeholders and influencing strategic decision-making. Required: Domain Knowledge: Deep expertise in property/casualty insurance pricing, rating, and regulatory requirements; mastery of actuarial data and modeling (Tweedie distributed data, GLMs, GBMs) and advanced statistical concepts (e.g., variable selection, overfitting, fairness testing, Gini, lift, AUC, cross-validation, sensitivity analysis). Data Science: Advanced capability in feature engineering, model validation, uncertainty quantification, and statistical testing; fluency in SQL for data extraction/manipulation. Programming: Expert in Python (NumPy, Pandas, Scikit-learn, Matplotlib) and git-based workflows. Communication: Exceptional ability to translate technical findings into actionable business insights for executive-level audiences. Data/ML Engineering: Familiarity with scalable pipelines, MLOps practices, and production deployments Highly Desirable: Experience with geospatial and imagery data (GeoPandas or similar). Prior experience integrating AI-derived datasets into insurer pricing and underwriting workflows. Additional Information Some of our benefits Nearmap takes a holistic approach to our employees' emotional, physical and financial wellness. Some of our current benefits include: Quarterly wellbeing day off - Four additional days off a year as your "YOU" days Company-sponsored volunteering days to give back. Generous parental leave policies for growing families. Access to LinkedIn Learning for continuous growth. Discounted Health Insurance plans. Monthly technology allowance. Annual flu vaccinations and skin checks. Hybrid flexibility A Nearmap subscription (naturally!). Working at Nearmap We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We're proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves. If you can see yourself working at Nearmap and feel you have the right level of experience, we invite you to get in touch. Watch some of our videos and find out more about what a day in the life at Nearmap looks like. **************************** **************************** **************************** **************************** To hear an interview with Brett Tully, Director of AI Output Systems on the Super Data Science podcast, click this link: ************************************ Mapscaping podcast: ***************************************************************************************************** Read the product documentation for Nearmap AI:********************************************** Thanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. Nearmap is not responsible for any fees related to unsolicited resumes.

Americor is an innovative finance technology company with a unique approach to debt resolution. Americor focuses on getting Americans out of debt quickly and responsibly so they can take control of their lives again. Our employees love coming to work and find value in what they do, consistently recognizing Americor as a top place to work. With over a decade of experience paired with a number of best company awards, Americor has relieved over $2 billion in debt for over 200,000 Americans. We are seeking an enthusiastic Sr. Data Scientist to join our team, with a specific focus on marketing optimization and machine learning productionisation. This role is ideal for someone who thrives at the intersection of data science, cloud engineering and business strategy. In the role, you'll work closely with stakeholders across Marketing, Sales, Data and Product to build predictive models, scale model implementation in AWS and translate model performance into insights and actions for executive leadership. Responsibilities: Perform extensive exploratory analyses across all the marketing channels Develop, test, productionalize, monitor and maintain propensity models to optimize marketing investment and customer acquisition in AWS leveraging S3, Lambda and SageMaker Productionize machine learning models with real-time and distributed batch scoring Proficiency with MLOps practices and tools for model versioning, monitoring, CI/CD pipelines Build dashboards in Tableau to communicate model trends, insights and performance Identify new areas of opportunity and ideate with stakeholders on new projects Stay current with industry best practices and emerging ML technologies Other duties as assigned Education & Experience: 5+ years of experience applying ML within lead generation and digital marketing Advanced AWS experience; solutions architect certification or equivalent expertise preferred Advanced proficiency with XGBoost, Neural Networks, and other ML techniques Advanced Python, SQL and Tableau Excellent storytelling and presentation skills Proven ability to position oneself to advise and teach across a data organization Bachelor's degree in Applied Mathematics, Computer Science, Physics, or equivalent experience; Master's preferred Additional Benefits: Career path Medical Dental Company paid group life / AD&D insurance 7 paid holidays and 2 flex days to use at will Paid time off Flexible spending/HAS Employee Assistance Program (EAP) 401(k) Referral program Compensation: $120,000-$150,000 annually, depending on experience. Work Location: Hybrid/Remote- Irvine, CA. Americor is proud to be an Equal Opportunity Employer. Americor does not discriminate based on race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law. * Note to Agencies: Americor Funding, Inc. (the “Company”) has an internal recruiting department. Americor Funding Inc. may supplement that internal capability from time to time with assistance from temporary staffing agencies, placement services, and professional recruiters (“Agency”). Agencies are hereby specifically directed NOT to contact Americor Funding Inc. employees directly in an attempt to present candidates. The Company's policy is for the internal recruiting team or other authorized personnel to present ALL candidates to hiring managers. Any unsolicited resumes sent to Americor Funding Inc. from a third party, such as an Agency, including unsolicited resumes sent to a Company mailing address, fax machine, or email address, directly to Company employees, or to the resume database, will be considered Company property. Americor Funding Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Americor Funding Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.