Data scientist jobs in Murrieta, CA

We are seeking a Data Analytics Engineer to join our team who serves as a hybrid Database Administrator, Data Engineer, and Data Analyst, responsible for managing core data infrastructure, developing and maintaining ETL pipelines, and delivering high-quality analytics and visual insights to executive stakeholders. This role bridges technical execution with business intelligence, ensuring that data across Salesforce, financial, and operational systems is accurate, accessible, and strategically presented. Essential Functions Database Administration: Oversee and maintain database servers, ensuring performance, reliability, and security. Manage user access, backups, and data recovery processes while optimizing queries and database operations. Data Engineering (ELT): Design, build, and maintain robust ELT pipelines (SQL/DBT or equivalent) to extract, transform, and load data across Salesforce, financial, and operational sources. Ensure data lineage, integrity, and governance throughout all workflows. Data Modeling & Governance: Design scalable data models and maintain a governed semantic layer and KPI catalog aligned with business objectives. Define data quality checks, SLAs, and lineage standards to reconcile analytics with finance source-of-truth systems. Analytics & Reporting: Develop and manage executive-facing Tableau dashboards and visualizations covering key lending and operational metrics - including pipeline conversion, production, credit quality, delinquency/charge-offs, DSCR, and LTV distributions. Presentation & Insights: Translate complex datasets into clear, compelling stories and presentations for leadership and cross-functional teams. Communicate findings through visual reports and executive summaries to drive strategic decisions. Collaboration & Integration: Partner with Finance, Capital Markets, and Operations to refine KPIs and perform ad-hoc analyses. Collaborate with Engineering to align analytical and operational data, manage integrations, and support system scalability. Enablement & Training: Conduct training sessions, create documentation, and host data office hours to promote data literacy and empower business users across the organization. Competencies & Skills Advanced SQL proficiency with strong data modeling, query optimization, and database administration experience (PostgreSQL, MySQL, or equivalent). Hands-on experience managing and maintaining database servers and optimizing performance. Proficiency with ETL/ELT frameworks (DBT, Airflow, or similar) and cloud data stacks (AWS/Azure/GCP). Strong Tableau skills - parameters, LODs, row-level security, executive-level dashboard design, and storytelling through data. Experience with Salesforce data structures and ingestion methods. Proven ability to communicate and present technical data insights to executive and non-technical stakeholders. Solid understanding of lending/financial analytics (pipeline conversion, delinquency, DSCR, LTV). Working knowledge of Python for analytics tasks, cohort analysis, and variance reporting. Familiarity with version control (Git), CI/CD for analytics, and data governance frameworks. Excellent organizational, documentation, and communication skills with a strong sense of ownership and follow-through. Education & Experience Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field. 3+ years of experience in data analytics, data engineering, or database administration roles. Experience supporting executive-level reporting and maintaining database infrastructure in a fast-paced environment.

Sr. Data Engineer Full Time Direct Hire Job Hybrid with work location-Irvine, CA. The Senior Data Engineer will help design and build a modern data platform that supports enterprise analytics, integrations, and AI/ML initiatives. This role focuses on developing scalable data pipelines, modernizing the enterprise data warehouse, and enabling self-service analytics across the organization. Key Responsibilities • Build and maintain scalable data pipelines using Snowflake, dbt, and Fivetran. • Design and optimize enterprise data models for performance and scalability. • Support data cataloging, lineage, quality, and compliance efforts. • Translate business and analytics requirements into reliable data solutions. • Use AWS (primarily S3) for storage, integration, and platform reliability. • Perform other data engineering tasks as needed. Required Qualifications • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field. • 5+ years of data engineering experience. • Hands-on expertise with Snowflake, dbt, and Fivetran. • Strong background in data warehousing, dimensional modeling, and SQL. • Experience with AWS (S3) and data governance tools such as Alation or Atlan. • Proficiency in Python for scripting and automation. • Experience with streaming technologies (Kafka, Kinesis, Flink) a plus. • Knowledge of data security and compliance best practices. • Exposure to AI/ML workflows and modern BI tools like Power BI, Tableau, or Looker. • Ability to mentor junior engineers. Skills • Snowflake • dbt • Fivetran • Data modeling and warehousing • AWS • Data governance • SQL • Python • Strong communication and cross-functional collaboration • Interest in emerging data and AI technologies

Job Title: Data Engineer Duration: Direct-Hire Opportunity We are looking for a Data Engineer who is hands-on, collaborative, and experienced with Microsoft SQL Server, Snowflake, AWS RDS, and MySQL. The ideal candidate has a strong background in data warehousing, data lakes, ETL pipelines, and business intelligence tools. This role plays a key part in executing data strategy - driving optimization, reliability, and scalable BI capabilities across the organization. It's an excellent opportunity for a data professional who wants to influence architectural direction, contribute technical expertise, and grow within a data-driven company focused on innovation. Key Responsibilities Design, develop, and maintain SQL Server and Snowflake data warehouses and data lakes, focusing on performance, governance, and security. Manage and optimize database solutions within Snowflake, SQL Server, MySQL, and AWS RDS. Build and enhance ETL pipelines using tools such as Snowpipe, DBT, Boomi, SSIS, and Azure Data Factory. Utilize data tools such as SSMS, Profiler, Query Store, and Redgate for performance tuning and troubleshooting. Perform database administration tasks, including backup, restore, and monitoring. Collaborate with Business Intelligence Developers and Business Analysts on enterprise data projects. Ensure database integrity, compliance, and adherence to best practices in data security. Configure and manage data integration and BI tools such as Power BI, Tableau, Power Automate, and scripting languages (Python, R). Qualifications Proficiency with Microsoft SQL Server, including advanced T-SQL development and optimization. 7+ years working as a SQL Server Developer/Administrator, with experience in relational and object-oriented databases. 2+ years of experience with Snowflake data warehouse and data lake solutions. Experience developing pipelines and reporting solutions using Power BI, SSRS, SSIS, Azure Data Factory, or DBT. Scripting and automation experience using Python, PowerShell, or R. Familiarity with data integration and analytics tools such as Boomi, Redshift, or Databricks (a plus). Excellent communication, problem-solving, and organizational skills. Education: Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. Technical Skills SQL Server / Snowflake / MySQL / AWS RDS ETL Development (Snowpipe, SSIS, Azure Data Factory, DBT) BI Tools (Power BI, Tableau) Python, R, PowerShell Data Governance & Security Best Practices Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

Thank you for stopping by to take a look at the Data Integration Engineer role I posted here on LinkedIN, I appreciate it. If you have read my s in the past, you will recognize how I write job descriptions. If you are new, allow me to introduce myself. My name is Tom Welke. I am Partner & VP at RSM Solutions, Inc and I have been recruiting technical talent for more than 23 years and been in the tech space since the 1990s. Due to this, I actually write JD's myself...no AI, no 'bots', just a real live human. I realized a while back that looking for work is about as fun as a root canal with no anesthesia...especially now. So, rather than saying 'must work well with others' and 'team mindset', I do away with that kind of nonsense and just tell it like it is. So, as with every role I work on, social fit is almost as important as technical fit. For this one, technical fit is very very important. But, we also have some social fit characteristics that are important. This is the kind of place that requires people to dive in and learn. The hiring manager for this one is actually a very dear friend of mine. He said something interesting to me not all that long ago. He mentioned, if you aren't spending at least an hour a day learning something new, you really are doing yourself a disservice. This is that classic environment where no one says 'this is not my job'. So that ability to jump in and help is needed for success in this role. This role is being done onsite in Irvine, California. I prefer working with candidates that are already local to the area. If you need to relocate, that is fine, but there are no relocation dollars available. I can only work with US Citizens or Green Card Holders for this role. I cannot work with H1, OPT, EAD, F1, H4, or anyone that is not already a US Citizen or Green Card Holder for this role. The Data Engineer role is similar to the Data Integration role I posted. However, this one is mor Ops focused, with the orchestration of deployment and ML flow, and including orchestrating and using data on the clusters and managing how the models are performing. This role focuses on coding & configuring on the ML side of the house. You will be designing, automating, and observing end to end data pipelines that feed this client's Kubeflow driven machine learning platform, ensuring models are trained, deployed, and monitored on trustworthy, well governed data. You will build batch/stream workflows, wire them into Azure DevOps CI/CD, and surface real time health metrics in Prometheus + Grafana dashboards to guarantee data availability. The role bridges Data Engineering and MLOps, allowing data scientists to focus on experimentation and the business sees rapid, reliable predictive insight. Here are some of the main responsibilities: Design and implement batch and streaming pipelines in Apache Spark running on Kubernetes and Kubeflow Pipelines to hydrate feature stores and training datasets. Build high throughput ETL/ELT jobs with SSIS, SSAS, and T SQL against MS SQL Server, applying Data Vault style modeling patterns for auditability. Integrate source control, build, and release automation using GitHub Actions and Azure DevOps for every pipeline component. Instrument pipelines with Prometheus exporters and visualize SLA, latency, and error budget metrics to enable proactive alerting. Create automated data quality and schema drift checks; surface anomalies to support a rapid incident response process. Use MLflow Tracking and Model Registry to version artifacts, parameters, and metrics for reproducible experiments and safe rollbacks. Work with data scientists to automate model retraining and deployment triggers within Kubeflow based on data freshness or concept drift signals. Develop PowerShell and .NET utilities to orchestrate job dependencies, manage secrets, and publish telemetry to Azure Monitor. Optimize Spark and SQL workloads through indexing, partitioning, and cluster sizing strategies, benchmarking performance in CI pipelines. Document lineage, ownership, and retention policies; ensure pipelines conform to PCI/SOX and internal data governance standards. Here is what we are seeking: At least 6 years of experience building data pipelines in Spark or equivalent. At least 2 years deploying workloads on Kubernetes/Kubeflow. At least 2 years of experience with MLflow or similar experiment‑tracking tools. At least 6 years of experience in T‑SQL, Python/Scala for Spark. At least 6 years of PowerShell/.NET scripting. At least 6 years of experience with with GitHub, Azure DevOps, Prometheus, Grafana, and SSIS/SSAS. Kubernetes CKA/CKAD, Azure Data Engineer (DP‑203), or MLOps‑focused certifications (e.g., Kubeflow or MLflow) would be great to see. Mentor engineers on best practices in containerized data engineering and MLOps.

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS audit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integrity. You'll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning-transforming how we ensure both quality and regulatory alignment. Job Duties/Responsibilities: Collaborate with key business leaders to understand their business problems and come up with analytical solutions. Applying coding skills and knowledge data structures to develop projects in partnership with other scientists and engineers in the team Build customer segmentation models to better understand our customers and tailor the clinical outcome and healthcare care experience for them. Build and fine-tune models for both LLMs and OCR-based document understanding, enabling accurate extraction from scanned or low-quality medical charts. Develop scalable model pipelines that integrate NLP, computer vision, and unstructured data, leveraging cloud-based infrastructure (Azure) and containerized environments. Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments. Design algorithms to predict audit risk and detect documentation anomalies across cohorts and markets. Partner with Coding, Compliance, CDI, Clinical, and Legal teams to ensure data outputs are aligned with CMS guidance. Help standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness. Help analytical support for CMS Star Ratings strategy, including: Audit sampling methodology validation Chart review error pattern identification Root cause analysis on deletion rates and extrapolation exposure Supervisory Responsibilities: N/A MINIMUM REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below 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. Minimum Experience: 2+ years of relevant experience in predictive modeling and analysis Education/Licensure: Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, or equivalent experience Other: Excellent communication, analytical and collaborative problem-solving skills Experience in building end to end data science solutions and applying machine learning methods to real world problems with measurable outcomes. Deep understanding and experience with various machine learning algorithms, including deep neural networks, natural language processing and LLMs. Solid data structures & algorithms background. Strong programming skills in one of the following: Python, Java, R, Scala or C++ Demonstrated proficiency in SQL and relational databases. Experience with data visualization and presentation, turning complex analysis into insight. Experience in setting experimental analytics frameworks or strategies for complex scenarios. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc. Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources Preferred Qualifications: Healthcare experience Experience in Big Data processing technologies: Databricks Experience in Azure, AWS or other cloud ecosystems. Experience in NoSQL databases. Published work in academic conferences or industry circles. Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Knowledge of CMS Risk Adjustment Data Validation (RADV) audits Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ESSENTIAL PHYSICAL FUNCTIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************. Pay Range: $149,882.00 - $224,823.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

Data Scientist, Pricing Opendoor is transforming one of the largest, most complex markets in the world - residential real estate - using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company's financial performance. We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You'll operate at the intersection of economics, machine learning, experimentation, and product strategy - tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory - and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace. What You'll Do * Build and maintain pricing metrics, dashboards, and frameworks. * Run experiments and causal analyses to measure impact and drive decisions. * Develop predictive + statistical models that improve pricing accuracy. * Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment. * Deliver insights and narratives that inform executive strategy. Skills & Qualifications * Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise. * Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring. * Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.). * Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making. * Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs. * High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition. * Effective communicator - able to tell the story behind the model to both highly technical and non-technical audiences. Base salary range for this role varies. Generally, the base salary range is $135,000 - $199,000 CAN annually + RSUs + bonus + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K). JR 9200 #LI-KC1 About us…. Powering life's progress, one move at a time Since 2014, we've been reinventing life's most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain. We're a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it's starting a family, taking a new job, or making a life change, we help people move forward with confidence. This work isn't easy, and it's not for everyone. But if you want to be part of a team that's tilting the world in favor of people who want to sell, buy, or own a home then you'll find purpose here. Opendoor Values Openness We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here. We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise. At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at ********************************.

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.

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.

At Kia, we're creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day. Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California. Status Exempt General Summary The Data Scientist Manager will play an important role in managing and executing data analysis for Kia North America's regional subsidiaries (KUS/KCA/KaGA/KMX). A future-driven automotive company, Kia has access to vast and diverse datasets and are excited to fill this position with an individual that can derive business improvements and insight from this data. Strong applicants for this role will have statistics, machine learning, and computer science skills to leverage high-performance compute clusters as well as perform reproducible data analysis at scale. With these requirements in mind, our mindset is that data, analytics, automation, and responsible AI can revolutionize our many lines of business. Essential Duties and Responsibilities 1st Priority - 30% Managing Data Science, Data Engineering, and Big Data Platform * Managing small project teams to develop, execute and complete assignments. * Advising 4 direct reports (Data Scientists and Data Engineer) on projects as needed and help resolve issues with project or task completion. Support direct reports' project progress with "client" leadership, by suggesting how to resolve or escalating any issues. Support direct reports with questions related to data analysis. * Organizing team roles and evaluating employee performance. * Improve Big Data Analysis department processes and systems. Documenting operational tasks and reporting to upper-level management. * Develops growth opportunities for direct reports. * Performing employee reviews and assessments and meeting regularly with direct reports. 2nd Priority - 20% Data Wrangling and Analysis * Assess the accuracy of new data sources. * Understand the relationship between the data and the business process. * Preprocess structured and unstructured data. * Analyze large amounts of data to discover trends and patterns. * Build prediction and classification models. * Coordinate with different functional teams for feature engineering 3rd Priority - 20% Assess, Visualize and Improve Analysis * Test and continuously improve the accuracy of statistical and machine learning models. * Present information using Python and/or dashboards. * Simplify and explain complex stats in an intuitive manner. * Continuously monitor and validate production analysis results. 4th Priority - 20% Deploy Analysis Results * Collaborate with IT Team to deploy analysis results. * Build REST APIs for data and analysis result consumption. * Assist the IT system developers to deploy analysis as a service. 5th Priority - 10% Clear Documentation, VCS, and Reproducible Analysis * Use git within Gitlab. * Create conda, venv, etc to isolate project dependencies and requirements. * Track model performance and hyperparameter configurations with mlflow * Track data versioning with dvc Qualifications/Education Education: * Bachelor's degree or equivalent experience in related field of technology required. * Certification(s) in data analysis field is highly desirable. Job Requirement Overall Related Experience: * Experience querying databases and using statistical computer languages (SQL, Python) * Experience with Dask; dask-ml and dask.DataFrames * Experience using statistics, machine learning and deep learning algorithms * Experience visualizing data using visualization tools (Power BI, MicroStrategy, Tableau etc.) Directly Related Experience: * 5+ years of data analysis or related technical experience required * Experience data analysis and engineering projects as a project manager * Prior people management experience preferred * Experience using Hadoop echo system (Hadoop, Hive, Impala and Spark etc.) Specialized Skills and Knowledge Required * Data analysis, engineering, IT project management * Experience using statistical computer languages (Python, SQL etc.) to handle data * Knowledge of a variety of machine learning techniques including deep learning for computer vision and graph neural networks * Knowledge of advanced statistical techniques * Knowledge and experience with NLP (natural language processing) * Social network analysis * Coding knowledge and experience with several languages: Python, SQL, Docker, Javascript/Typescript * Understanding big data analysis techniques: Map/Reduce, Hadoop echo system, Spark etc. * Strong problem-solving skills based on data analysis * Excellent written and verbal communication skills for coordinating across teams. * Leadership skillset Competencies * Care for People * Chase Excellence Every Day * Dare to Push Boundaries * Empower People to Act * Move Further Together Pay Range $105,533 - $146,709 Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc. Equal Employment Opportunities KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law. KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices. The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment. Disclaimer: The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Job DescriptionDescription: About the Role - We're seeking a Data Scientist for Agentic AI to help build AI agents that drive yield improvement, root-cause discovery, and process optimization for leading semiconductor companies. You'll combine modern data science and machine learning with LLM- and agent-based techniques to power the next generation of agentic data systems in semiconductor manufacturing and product engineering. Your work will turn messy, high-dimensional data into agents that can continuously monitor, diagnose, and recommend actions across the semiconductor lifecycle. You will work closely with process, product, and test engineers, as well as data engineers and platform developers, to ingest complex data across the semiconductor lifecycle and build analytical pipelines, models, and agents that surface insights and take action automatically. Direct semiconductor yield and process experience is not required, but familiarity with yield analysis and semiconductor manufacturing concepts is a strong plus. Requirements: Requirements Key Responsibilities - Data Integration & Management Ingest and unify data from diverse sources across the semiconductor lifecycle (process, test, assembly, and field / system-level data). Handle structured data (SQL, CSV, metrology logs, time-series) and unstructured data (reports, images, logs). Develop pipelines to clean, align, and normalize large datasets across manufacturing stages and product lines. Analytics, Modeling & Agent Intelligence Design and implement algorithms for excursion and anomaly detection, trend monitoring, and yield / quality loss pattern recognition. Perform advanced correlation analysis across process parameters, test metrics, and design variables. Support root-cause analysis by developing interpretable statistical and machine learning models to identify likely drivers of excursions and quality drift. Develop feature extraction and dimensionality-reduction methods suitable for high-dimensional industrial and manufacturing data. Collaborate with ML and agent engineers to design agents that can call tools, query data, run analyses, and iteratively refine their own hypotheses. Visualization & Insight Delivery Create interactive dashboards and visualizations (e.g., wafer maps, trend charts, pareto analyses) to communicate findings to process and product engineers. Work with UX and platform teams to define how analytics outputs are surfaced to human users and to AI agents. Help design human-in-the-loop review and feedback flows so engineers can guide and improve agent behavior over time. Research, Innovation & Agentic AI Evaluate and implement modern AI/ML approaches for yield optimization, root-cause analysis, and reliability monitoring (e.g., graph-based methods, representation learning, LLM-assisted analysis). Prototype and evaluate agents that combine LLM reasoning with structured analytics, simulation tools, and domain-specific algorithms. Contribute ideas and feedback into our agent evaluation, safety, and observability frameworks. End-to-End Productionization of AI Agents Translate offline analyses and models into production-grade code that powers our agentic data systems. Design, implement, and maintain data and inference pipelines that connect enterprise data sources to AI agents. Work with platform and infrastructure teams to deploy, monitor, and continuously improve AI agents in real-world semiconductor operations. Education - M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Physics, Statistics, Applied Mathematics, or a related quantitative field (or equivalent practical experience). Experience & Skills 4+ years of experience in applied data science, machine learning, or advanced analytics. Experience working with large, complex, multi-source datasets (e.g., time-series, sensor, manufacturing, or hardware data). Proficiency in Python (e.g., pandas, scikit-learn, NumPy) and common ML / data science workflows. Strong experience with databases and querying (SQL and NoSQL). Experience with data visualization tools and frameworks (e.g., Plotly or similar). Strong grasp of statistical methods such as outlier detection, correlation analysis, regression, clustering, causal inference, and time-series analysis. Soft Skills Comfortable working with both engineering and data teams, as well as domain experts. Strong analytical thinking, curiosity, and ability to explain complex findings clearly to non-specialists. Practical mindset - focused on building usable analytics and agents that deliver real operational impact. Preferred Qualifications - Familiarity with semiconductor yield analysis and manufacturing processes (e.g., yield metrics, bin analysis, wafer maps, process flows). Experience with wafer-level and bin-level data analysis, wafer map pattern recognition. Experience using or developing yield management systems (YMS) or manufacturing data platforms. Experience with multi-modal or foundation models (LLMs, VLMs) applied to industrial or manufacturing data. Exposure to LLM-assisted data analysis, AI-based anomaly detection, or agent-based systems in industrial contexts. Experience with cloud data environments (e.g., GCP, AWS, Databricks) and modern data pipelines / orchestration (e.g., Airflow, Argo, dbt, Beam, Dagster). About Emergence AI Emergence AI builds an agentic data platform that lets enterprises create, orchestrate, and operate networks of AI agents across their data and systems. Our platform focuses on automating complex, mission-critical data workflows - from ingestion and transformation through analysis, decisioning, and action. We work with customers in semiconductors, life sciences, and other data-intensive industries to turn fragmented, high-stakes data into trustworthy, continuously-operating AI agents. Why Join Us Build real AI agents, not just dashboards. You'll work on agents that plan, reason, and act across real production environments - not toy demos - with a direct line to customer impact. Work at the intersection of agentic AI and semiconductors. Help some of the world's most advanced semiconductor companies flag issues earlier, accelerate root-cause analysis, and optimize yield and quality by giving their engineers powerful autonomous assistants. Own problems end-to-end. You'll have the autonomy to take problems from messy data and ambiguous requirements all the way through modeling, deployment, and iteration in production. Join a small, senior team. Collaborate with experienced engineers, researchers, and product leaders who are deeply invested in pushing the state of the art in agentic AI and shipping it responsibly. Shape the platform. Your work will directly influence how our agentic data platform evolves - the types of agents we build, the data abstractions we expose, and the capabilities we deliver to customers. If you're excited about building AI agents that operate on real, high-stakes data - and want to help redefine how semiconductor companies understand and act on their data - we'd love to talk.

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.

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.

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.

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.

Are you passionate about changing the world through machine learning and location intelligence? Join Esri as we leverage the IoT revolution and explosive growth of location data to help organizations extract advanced intelligence, predict significant events, and automate work processes using AI and machine learning. We're seeking a Sr. Data Scientist who combines technical expertise with strong interpersonal skills to collaborate directly with customers, understand their unique challenges, and develop data-driven solutions that integrate seamlessly with GIS workflows. While prior GIS experience is not required, you'll work closely with GIS experts and gain valuable knowledge in spatial data analytics. We serve customers across diverse domains including natural resources, defense, commercial industries, public transportation, utilities, and governmental entities in over 160+ countries. Responsibilities Consult closely with customers to understand their needs and serve as Esri's sole representative Scope projects, communicate uncertainties and risks, and accurately estimate delivery times Develop and pitch data science solutions that map business problems to advanced analytics approaches Serve as a subject matter expert for internal stakeholders Write production-level code for data analysis and process automation Build high-quality analytics systems employing techniques from data mining, statistics, and machine learning Perform feature engineering, model selection, and hyperparameter optimization to achieve high predictive accuracy Deploy models to production environments and assist customers in troubleshooting implementations Implement best practices for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping Design and implement generative AI solutions and agentic systems to enhance customer workflows and automate complex geospatial tasks Stay updated with the latest trends in machine learning, deep learning, and AI, and incorporate them into project delivery Quickly become proficient in unfamiliar fields to address diverse customer needs Requirements 5+ years of practical machine learning experience or relevant academic/lab work Hands-on relevant experience in generative AI, large language models, and agentic systems Exemplify tenacity, determination, creativity, curiosity, and independence in problem-solving Ability to learn new concepts quickly and implement new technologies rapidly Flexibility to adapt to diverse customer solutions in a rapidly evolving technical landscape Experience working with non-technical stakeholders in multiple domains Proficiency in building and optimizing supervised and unsupervised machine learning models, including deep learning techniques Fundamental understanding of mathematical and machine learning concepts Applied statistics experience Expertise in developing machine learning solutions, preferably in Python Proficiency in data extraction, transformation, and loading between various systems Ability to produce compelling data visualizations to convey results Strong communication skills, including the ability to explain technical concepts to non-technical audiences Capability to manage multiple projects simultaneously Bachelor's in mathematics, statistics, computer science, physics, or a related field Recommended Qualifications Master's or PhD in mathematics, statistics, computer science, physics, or a related field Experience with spatial and GIS concepts, preferably using Esri software Familiarity with Git, ML libraries such as PyTorch and TensorFlow, and transformers-based large language models (LLMs) Experience handling large-scale batch/streaming data with big data tools like Apache Spark Experience with cloud services (AWS, Azure, and more) #LI-MN1 #LI-HYBRID

At Kia, we're creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day. Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California. Status Exempt General Summary The Data Scientist will play an important role in executing data analysis for Kia North America's regional subsidiaries (KUS/KCA/KaGA/KMX). A future-driven automotive company, Kia has access to vast and diverse datasets and is excited to fill this position with an individual that can derive business improvements and insights from this data. Strong applicants for this role will have statistics, machine learning, and computer science skills to leverage high-performance compute clusters as well as perform reproducible data analysis at scale. With these requirements in mind, our mindset is that data, analytics, automation, and responsible AI can revolutionize our many lines of business. Essential Duties and Responsibilities 1st Priority - 30% Data wrangling and analysis * Assess the accuracy of new data sources * Understand the relationship between the data and the business process * Preprocess structured and unstructured data * Analyze large amounts of data to discover trends and patterns * Build prediction and classification models * Coordinate with different functional teams for feature engineering 2nd Priority - 30% Assess, visualize, and improve analysis * Test and continuously improve the accuracy of statistical and machine learning models * Present information using Python notebooks and/or dashboards * Simplify and explain complex statistics in an intuitive manner * Continuously monitor and validate production analysis results 3rd Priority - 20% Collaborate with IT Team to deploy analysis results * Build REST APIs for data and analysis result consumption * Assist the IT system developers to deploy analysis as a service 4th Priority - 20% Clear documentation, source code management, and reproducible analysis * Use git within GitLab * Create virtual environments to isolate project dependencies and requirements * Track model performance and hyperparameter configurations * Track data versioning Qualifications/Education Education: * Bachelor's degree or equivalent experience in related field of technology required * Master's degree in analytics, data science, or computer science preferred Job Requirement Overall Related Experience: * Experience querying databases and using programming languages such as Python and SQL * Experience using Hadoop ecosystem (Hadoop, Hive, Impala and Spark etc.) * Experience using statistics, machine learning and deep learning algorithms * Experience publishing results to stakeholders through dashboards (e.g. Power BI, MicroStrategy, Tableau) Directly Related Experience: * 3+ years of experience in data science preferred Specialized Skills and Knowledge Required * Proficiency in Python and SQL * Knowledge of a variety of machine learning techniques including deep learning * Knowledge of advanced statistical techniques * Knowledge and experience with natural language processing (NLP) * Experience with common Python libraries for data analysis such as Pandas and NumPy * Experience with visualization libraries such as Matplotlib, Seaborn, Plotly, Bokeh and plotnine * Experience developing and evaluating statistical and machine learning models using libraries such as stats models and Scikit-learn * Experience with deep learning frameworks such as PyTorch and TensorFlow * Experience with big data processing tools: Hadoop ecosystem, Spark etc. * Strong data-driven problem-solving skills * Excellent written and verbal communication skills to coordinate across teams Competencies * Care for People * Chase Excellence Every Day * Dare to Push Boundaries * Empower People to Act * Move Further Together Pay Range $82,382 - $110,272 Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc. Equal Employment Opportunities KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law. KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices. The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment. Disclaimer: The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

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. People come first here. We're committed to an inclusive workforce. Learn more about how we create a welcoming work environment at ******************** 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.

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 Senior Actuary to join our Fixed Annuity Valuation team in Newport Beach, CA, or Omaha NE. This role follows a hybrid schedule of four days in the office (on-site). If you are not currently located near one of our offices, you will be required to relocate. As a Senior Actuary, you will be working on Statutory, GAAP and Tax Valuation for the Fixed Annuity products, and will lead and support key valuation initiatives such as support regulatory changes implementation, new product development and valuation integration, model refinement, testing and validation, assumption impact analysis and oversight, reinsurance arrangement support, enhancement of quarter-end analysis and reporting, and process improvement and automation. How you will make an impact: * Review quarterly and annual reserves and financial entries for Fixed Annuity products * Lead validation of modeling enhancements and modifications, ensuring proper controls and processes aligned with MRM and ICFR guidance * Direct the development of analytical tools to explain modeled results and drivers of movement * Support quantitative analysis of model output and enhance reporting capabilities * Lead implementation of regulatory changes * Oversee assumption impact analysis and sign off the assumptions for Fixed products * Provide support for Fixed reserve audit requests (e.g., Department of Insurance), and interface with auditors, state regulators, and examiners * Support new product development and implementation * Communicate and present financial results to management with clarity and appropriate depth; develop and recommend strategies to address issues and improve performance * Collaborate with colleagues across departments and divisions; build strong relationships and provide actuarial expertise to internal stakeholders and corporate management * Lead and develop a team of actuarial professionals by providing guidance, oversight, and mentorship * Perform ad-hoc analysis and contribute to special projects as needed The experience you will bring: * Bachelor's degree in Mathematics, Economics, Finance, Actuarial Science, Statistics, or related degree * Fellow of the Society of Actuaries (FSA) with 7+years of experience * Demonstrated initiative and ownership of responsibilities * Strong problem-solving and communication skills What will make you stand out: * Proficient in actuarial modeling software; experience with Poly Systems and Prophet is a plus * working knowledge of fixed annuity valuation * Ability to work independently and collaboratively as part of a team, and to manage long-term projects. 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 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. $163,620.00 - $199,980.00 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.