Data scientist jobs in Oceanside, 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.

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.

Are you looking to make an impactful difference in your work, yourself, and your community? Why settle for just a job when you can land a career? At ICW Group, we are hiring team members who are ready to use their skills, curiosity, and drive to be part of our journey as we strive to transform the insurance carrier space. We're proud to be in business for over 50 years, and its change agents like yourself that will help us continue to deliver our mission to create the best insurance experience possible. Headquartered in San Diego with regional offices located throughout the United States, ICW Group has been named for ten consecutive years as a Top 50 performing P&C organization offering the stability of a large, profitable and growing company combined with a focus on all things people. It's our team members who make us an employer of choice and the vibrant company we are today. We strive to make both our internal and external communities better everyday! Learn more about why you want to be here! PURPOSE OF THE JOB The Data Scientist will build high performing machine learning models across the enterprise. As a key member of the rapidly growing Enterprise Analytics team, this role has the opportunity to develop and deploy impactful generative AI / LLM / ML solutions that drive revenue growth, reduce expenses, and enhance customer experience. This role will perform analyses of internal and external data sources in support of key business functions and develop predictive, descriptive modeling and identify areas of improvement for ICW business units. The Data Scientist will collaborate closely with business partners in Underwriting, Claims, Finance, Actuarial, HR, Law and Technology to help us realize the value in our extensive data resources. ESSENTIAL DUTIES AND RESPONSIBILITIES Build and deploy high performing AI/ML solutions. Utilize LLM models to improve organization efficiency, and tune models as needed. Perform prompt engineering. Develop innovative AI and ML solutions and implement scalable feature engineering. Create POC, MVP, as well as full-featured applications Research and recommend emerging AI and ML approaches and present research results to stakeholders. Partner effectively with data engineering and MLOps teams to ensure internal and external data pipelines support sophisticated data models and proper monitoring and alerting is in place. Collaborate with machine learning engineers as they harden models and move them from the lab into production. Identify and measure levers that impact essential metrics; communicate steps to business stakeholders. Keep up to date with latest research in the field and contribute to maintaining and growing an active data science community at ICW Group. Drive insights and improve workflows and business processes throughout the organization. Specify and develop advanced AI techniques to discover patterns, insights, and trends in ICW data. Drive and strategize with other scientists and internal business units to ensure effective execution of data-driven initiatives. Work closely with IT Security and Data Governance to ensure that analytics practices meet data security, privacy, and quality policies. Collect, aggregate, and analyze data from multiple internal and external sources for use in the most advanced analytics. Contribute to development of AI and ML internal policies and help ensure Enterprise Analytics team is compliant with applicable regulations. Write code to help build and maintain data pipelines for production models. Develop the highest quality, replicable predictive and descriptive analytics for business use. Actively evaluate (tracks and validates) existing models to ensure optimal data-driven decisions and make changes as needed. Develop a strong understanding of the business issues and data challenges of the organization in order to drive meaningful insights. Communicate findings and insight to stakeholders and provide business strategy recommendations for optimizing business performance. Analyze current business processes; make recommendations to management for new, more efficient, workflows, and processes. EDUCATION AND EXPERIENCE Bachelor's degree required with a major in Statistics, Cognitive Science, Mathematics, Physics, Computer Science, Electrical Engineering, Psychology, Neuroscience or related field and a minimum of 4 years of industry experience in data science roles; OR Master's Degree and a minimum of 2 years of industry experience in data science roles; OR PhD in a related field with research involving AI/ML. Ph.D. preferred. KNOWLEDGE AND SKILLS Strong interest in and familiarity with LLMs / generative AI. Experience with LLM tuning and distillation. Knowledge and experience with statistical and machine learning algorithms, forecasting, recommender systems, reinforcement learning, deep learning, and optimization. Cloud computing experience using several AWS tools and services. Strong knowledge and experience with Python and SQL. Containers and agile methodology. Experience with PyTorch and MLflow. Knowledge of databases and database methodology, especially Snowflake. Experience with model deployment. Knowledge in one or more of the following areas: Casual Inference, Anomaly Detection and/or modern Natural Language Processing techniques. PHYSICAL REQUIREMENTS Office environment - no specific or unusual physical or environmental demands and employees are regularly required to sit, walk, stand, talk, and hear. WORK ENVIRONMENT This position operates in an office environment and requires the frequent use of a computer, telephone, copier, and other standard office equipment. We are currently not offering employment sponsorship for this opportunity. #LI-TP1 #LI-HYBRID The current range for this position is $121,624.81 - $217,710.99 This range is exclusive of fringe benefits and potential bonuses. If hired at ICW Group, your final base salary compensation will be determined by factors unique to each candidate, including experience, education and the location of the role and considers employees performing substantially similar work. WHY JOIN ICW GROUP? • Challenging work and the ability to make a difference • You will have a voice and feel a sense of belonging • We offer a competitive benefits package, with generous medical, dental, and vision plans as well as 401K retirement plans and company match • Bonus potential for all positions • Paid Time Off with an accrual rate of 5.23 hours per pay period (equal to 17 days per year) • 11 paid holidays throughout the calendar year • Want to continue learning? We'll support you 100% ICW Group is committed to creating a diverse environment and is proud to be an Equal Opportunity Employer. ICW Group will not discriminate against an applicant or employee on the basis of race, color, religion, national origin, ancestry, sex/gender, age, physical or mental disability, military or veteran status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other characteristic protected by applicable federal, state or local law. ___________________ Job Category Actuarial

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We are looking for a motivated and detail-oriented Data Scientist for the Business Product Solution (BPS) group within the Mechanical Engineering Department of GA-ASI. The BPS group acts as the spearhead to develop and maintain cross-functional internal systems used for project planning, design controls and resource management. The Data Scientist will collaborate closely with cross-functional partners to translate complex data into actionable insights, communicate findings and recommendations to leadership, and help define analytical objectives that support the group's strategic goals. Additionally, they will contribute to the design, development, and implementation of data-driven tools, models, and processes that enhance decision-making and operational efficiency. This position is located in Poway, CA. DUTIES AND RESPONSIBILITIES: Design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse 'big data' sources to generate actionable insights and solutions for client services and product enhancement. Develop, refine, deploy, and support statistical and machine learning models. lnteract with stakeholders to identify questions and issues for data analysis and experiments, document findings and may make technical presentations to business stakeholders as required. Communicate insights and findings from analysis and experiments to leadership, partner groups, and end users (Engineers and Managers). Recommend solutions to moderately complex technical and procedure issues. Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements. Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner. Perform other duties as assigned or required. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. Typically requires a bachelor's or master's degree in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution. May substitute equivalent experience in lieu of education. Must have a general understanding of data science concepts, principles, and theory with technical experience, demonstrating the application of those concepts. Self-motivated to analyze stakeholder requirements and align them with available data sources, analytical methods, and machine learning models to design, prototype, and implement data-driven solutions that meet business objectives. Experience with SQL, Python, statistical analysis methods, machine learning models and data visualization software preferred. The ability to maintain the confidentiality of sensitive information. Good computer skills. Ability to work independently or lead in a team environment is essential, as is the ability to work extended hours and travel as required.

Full-time Description WARNING about fake job posting scams. There has been a recent wave of scams whereby third parties post fake job openings using a bogus email address that resembles ****************. Under the guise of asking you to fill out an application, the scammers are attempting to gather your personal information. See the Federal Trade Commission's warning on this topic at: ******************************************* The only official source for actual Biolinq job postings/openings is at ************************ While other job sites (such as LinkedIn, Indeed or Glassdoor) may pull from Biolinq's careers web page, you should visit *********************** to verify the accuracy of the openings found on third party web sites. About the Company Biolinq is a venture-backed digital health company developing a wearable biosensor platform that measures biomarkers important to the management of many clinical conditions including diabetes. This dynamic role is a part of a team of engineers and scientists developing a novel intradermal biosensor technology and the associated software data extraction and rendering SDK that will transform the way people manage their metabolic health. Job Purpose This is a dynamic role as part of a team of engineers and scientists developing a novel intradermal biosensor technology. This highly visible role within the Company will work with a cross-functional team of scientists and engineers and will be responsible for bench and clinical data analysis, algorithm development, and supporting planning, execution, and post clinical study activities. Duties and Responsibilities Algorithm development for Continuous Glucose Monitoring system and other analytes Develop signal processing algorithms for signal noise reduction and fault detection Analysis of data collected during the course of clinical trials to assess performance of Bioling sensors and help with root-cause analyses Implementing statistical analyses of data sets acquired in the clinical setting to assess safety, efficacy, and accuracy Processing large datasets using state of the art methods Assisting with preparation of reports or presentations to fulfil business or regulatory needs Other tasks as assigned Requirements Qualifications Master's degree and 8 years of experience required. PhD degree preferred. Scientific or Engineering discipline required. Minimum of 5 years' experience in signal processing, time series data analysis and algorithm development, preferably in a medical device setting Experience with advanced data analysis tools and methods; demonstrated understanding of statistics and statistical analysis of data Must be capable of supporting projects independently without supervision Experience with advanced computing languages such as Python, R, or Matlab Experience with machine learning and data mining methods Ability to interface with both clinicians and R&D team and work in a fast-paced, multi-disciplinary environment Capacity to manage multiple projects and communicate ideas clearly to the team; excellent written and verbal communication skills Working Conditions General office and laboratory. Physical Requirements While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands to handle or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, see, talk or hear in a standard office environment. Employee may occasionally lift/or move up to 15 pounds. BENEFITS Medical, dental, vision, health savings account, flexible spending account, life and long-term disability insurance, 401(k) plan, holidays, and PTO. At Biolinq we fully subscribe to the principles of Equal Employment Opportunity. It is our policy to provide employment, compensation, and other benefits related to employment based on qualifications, without regard to race, color, religion, national origin, age, sex, veteran status, genetic information, disability, or any other basis prohibited by federal, state or local law. In accordance with requirements of the Americans with Disabilities Act and applicable federal, state and/or local laws, it is our policy to provide reasonable accommodation upon request during the application process to applicants in order that they may be given a full and fair opportunity to be considered for employment. As an Equal Opportunity Employer, we intend to comply fully with applicable federal, state and/or local employment laws and the information requested on this application will only be used for purposes consistent with those laws. To the extent required by applicable law, The Company maintains a smoke- free workplace. As part of our efforts to ensure fair and equal pay based on merit, Biolinq supports pay transparency internally and during the recruitment process. The U.S. base salary range reasonably expected to be paid for this role is: $150,000 to $180,000 per year. We may ultimately pay more or less than the posted range. Actual compensation packages are commensurate with experience and based on a variety of factors that are unique to each candidate including, but not limited to: skill set, depth of experience, education, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the U.S. The total compensation package for this position may also include an annual performance bonus and/or other applicable incentive compensation plans. Biolinq also offers a comprehensive package of benefits including paid time off (vacation, holidays, sick time, parental leave), medical/dental/vision insurance, and 401(k) to eligible employees, subject to the terms and conditions of the applicable plans and any written agreement between the parties. Your recruiter can share more about the total compensation package during the hiring process. Please note: The information contained herein is not intended to be an all-inclusive list of duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Biolinq Talent Acquisition at ******************* Salary Description $150,000-$180,000

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

At ASML, we believe in harnessing the power of data to shape the future of technology. As a Data Scientist, you contribute directly to breakthroughs in semiconductor manufacturing, ensuring our products continue to transform how the world connects, creates, and innovates. In this role, you work in our Data Science department, collaborating with diverse teams to solve challenges that impact real-world applications. Located in Wilton, Connecticut, you bring your passion for data and problem-solving to an inclusive and dynamic workplace, whether you are early in your career or bringing years of experience. Role and Responsibilities As a Data Scientist, you play a pivotal role in leveraging data to drive insights and solutions for ASML's business and technology goals. In this candidate-centered position, you will: Analyze complex datasets to uncover trends and patterns that support strategic decision-making Design and implement predictive models to address technological challenges within the semiconductor industry Collaborate with cross-functional teams to translate business needs into data-driven solutions Communicate findings in a clear and actionable manner to technical and non-technical audiences Develop data visualization tools that make insights accessible and impactful Ensure the quality and integrity of data through robust validation and testing processes Stay up to date with best practices in data science and apply them to ongoing projects Education and Experience Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field 1 or more years of experience applying data science methods in a professional or academic setting Experience working with industry-standard tools such as Python, R, or SQL Background in developing and deploying predictive models using real-world datasets Experience in the technology or manufacturing sector is a plus Skills As a Data Scientist at ASML, you bring a blend of technical expertise, curiosity, and collaboration. You thrive in a diverse environment and are motivated to solve problems with creativity and precision. These essential skills help you succeed in the role: You apply statistical methods and machine learning techniques with confidence You communicate complex ideas clearly to a variety of audiences Data Cleansing (ETL) Deep understanding of statistics Data storytelling You handle large datasets efficiently and with attention to detail You are comfortable using data visualization tools to share your insights You work effectively both independently and as part of a team You approach challenges with a growth mindset and a willingness to learn You manage your time and priorities to meet deadlines You demonstrate ethical responsibility in handling data and information You proactively seek feedback and opportunities for personal and professional development You adapt quickly to new technologies and evolving project requirements The current base annual salary range for this role is currently: $99,375-165,625 Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members. The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Company's 401k plan. Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year. For more information, please contact the Recruiter or click on this link Compensation & Benefits in the US. All new ASML jobs have a minimum application deadline of 10 days. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

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

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

Are you searching for an opportunity to take your career to the next level? Ignite Digital Services is a fast-growing digital transformation company serving the national security sector. Our small business applies data science, program management and technical domain expertise to help clients implement data-driven approaches that maximize operational efficiencies. We've redefined what it means to be a leader in our industry by creating and maintaining effective and rewarding working relationships with our clients, partners and internal team members. Our company culture is built upon a team-based approach, which offers continuous opportunities for personal growth and innovation, while providing unmatched value to our clients. Perks of Working at Ignite Digital Services: Competitive pay and benefits, including PTO Education stipends and referral bonuses Compelling work with the U.S. federal government Strong emphasis on volunteer and community engagement Opportunity to shape the future of our industry Supportive colleagues and management who invest in your growth We are seeking a highly skilled and motivated Data Scientist to join our team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex datasets. You will work closely with cross-functional teams to design data-driven solutions, guide decision-making, and deliver measurable business impact. Responsibilities: Collect, process, and analyze large structured and unstructured datasets from multiple sources Develop, test, and deploy machine learning models to solve business problems and optimize operations Design and implement statistical models, data pipelines, and predictive analytics solutions Communicate findings and insights clearly through visualizations, dashboards, and reports Collaborate with data engineers, analysts, and business stakeholders to identify opportunities for innovation Stay current with emerging data science methodologies, tools, and industry best practices Ensure compliance with data governance, privacy, and security standards Qualifications: Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred) 2 to 5+ years of applied experience in data science, machine learning, or analytics Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus Experience working with big data technologies (e.g., Spark, Databricks, Snowflake) preferred Strong problem-solving and critical thinking abilities Excellent communication skills to translate complex data insights into actionable business recommendations Ability to work independently and in a collaborative team environment Detail-oriented with a passion for continuous learning and innovation Ability to obtain DOD Secret clearance Technical Skills: Proficiency in Python or R for statistical modeling and machine learning Strong knowledge of SQL and experience with relational and non-relational databases Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) Schedule: 100% onsite in San Diego, CA Salary: 120k+ to align with experience and education Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Ignite Digital Services is a Small Business committed to providing exceptional service to government agencies at competitive prices. The capabilities and experience of our staff and our extensive industry relationships distinguish Ignite Digital Services among government contractors. Equal Opportunity Employer/Veterans/Disabled For individuals who would like to request an accommodation, please visit ********************** (CA) or ********************** (SC) or contact Human Resources. Ignite Digital Services will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal employment opportunity, employment eligibility requirements or related matters. Nor will Ignite Digital Services require, in a posting or otherwise, U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. OFCCP'S Pay Transparency Rule EEO is the Law Poster

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

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.

Job Description We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine learning model development, and data-driven decision support within a Department of Defense (DoD) program environment. This role involves architecting and deploying end-to-end data solutions that enhance operational effectiveness, readiness forecasting, and mission-critical insights for Navy enterprise systems. Key Responsibilities Design, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithms Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources Create interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiences Collaborate with cross-functional teams including software engineers, data engineers, and subject matter experts Translate mission needs into analytical frameworks, model requirements, and implementation strategies Validate and tune models for performance, explainability, and operational relevance Author technical reports, white papers, and decision briefings for stakeholders and senior leadership Minimum Qualifications U.S. Citizenship with an active or interim Secret clearance Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred) 10+ years of professional experience in data science and leadership or senior technical role Security+ Certification Proven experience with: Python, R, SQL, and Spark for data analysis and modeling Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost Data visualization tools like Power BI, Tableau, or Plotly Cloud platforms (AWS, Azure, or Google Cloud) and MLOps workflows Experience working with DoD or federal data systems, including handling controlled unclassified information (CUI) Additional Preferred Qualifications Experience developing AI/ML solutions in support of Navy or defense logistics, sustainment, or readiness analytics Familiarity with DoD data governance, data labeling, and ethical AI guidelines Strong understanding of model operationalization, A/B testing, and production monitoring Knowledge of data engineering concepts including ETL pipelines, data lakes, and data mesh architectures Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner) Ability to mentor junior data scientists and lead cross-disciplinary technical teams

It takes a Blizzard to make a Blizzard game, and that dedication doesn't end once the game launches. We support our worlds for years, ensuring every player-on every platform-has an epic experience. Global Insights partners closely with our game teams, marketing, user acquisition, finance, and internal service groups to deliver the analytics, models, and strategic insights that help bring those experiences to life. Within Global Insights, the Marketing Analytics team applies advanced analytics and data science to help our marketing and growth teams make smarter, data-driven decisions that deepen engagement and drive long-term business impact. We are seeking a Senior Data Scientist with deep experience in mobile marketing analytics to join our team. In this role, you will build predictive revenue and LTV models, develop probabilistic attribution, marketing mix models, and create systems that allow us to understand-and optimize-the true impact of our mobile marketing investments. The ideal candidate has a passion for using data to shape mobile player acquisition and retention strategies, thrives in highly collaborative environments, and can translate complex analytical concepts into clear, actionable insights for partners across Blizzard. Responsibilities * Build and maintain automated and dynamic predictive LTV models for mobile apps across multiple geographies, channels, campaigns, and platforms. * Develop automated revenue and user growth forecasting systems that integrate with UA and finance workflows. * Own the statistical framework for cohort modeling, retention projections, ROAS forecasting, and lifetime value prediction. * Lead measurement strategy in a privacy-centric ecosystem, including: * SKAdNetwork (SKAN) configuration and model-based postback interpretation * Probabilistic attribution and MMM * Incrementality testing and causal inference * Funnel and cohort analysis across a complex landscape of iOS/Android/PC and Console * Build data pipelines and automated reporting that harmonize deterministic and probabilistic signals. * Collaborate with marketing, finance, and business teams to translate insights into actionable strategies by providing: * Paid media performance insights * Budget planning and scenario modeling, both one off and automated * Creative testing analytics * Channel-level optimization recommendations * Build and maintain data pipelines and dashboards to monitor marketing KPIs and model outputs. * Present findings and recommendations to stakeholders in a clear and compelling way. * Stay informed on emerging trends and best practices in marketing analytics and data science. Requirements * 8+ years of experience in data science, analytics, or a related field, with deep expertise in mobile marketing, predictive revenue modeling, or mobile UA analytics. * Advanced degree (Master's or PhD) in Statistics, Applied Mathematics, Economics, Computer Science, or another quantitative discipline. * Expert knowledge of: * Cohort-based modeling and LTV prediction * Marketing measurement frameworks (SKAN, ATT, MMM, incrementality) * Paid media platforms: Meta, Google, TikTok, DSPs, SANs * Probabilistic and deterministic attribution approaches, last-click attribution and alternatives * Experience deploying models and working with engineering teams to automate workflows. * Strong programming experience in Python (or R) and proficiency in SQL. * Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and advanced statistical modeling techniques. * Hands-on experience with modern data and analytics tools, including BigQuery/Snowflake, Airflow/dbt, Tableau/Looker, and Python-based ML frameworks (scikit-learn, TensorFlow, PyTorch). * Expertise in data visualization and storytelling using Tableau, Power BI, Looker, or similar tools. * Demonstrated ability to solve complex problems independently and lead cross-functional initiatives. Preferred Qualifications * Hands-on experience with: o MMPs (AppsFlyer, Adjust, Singular) o SKAN 4 or 5 readiness and schema design o Mobile data pipelines (event ingestion, postback processing) * Knowledge of cloud platforms (AWS, GCP, Azure) and modern data engineering tools. * Strong business acumen and the ability to influence senior leaders through compelling, data-driven insights. * A passion for Blizzard games and for helping shape unforgettable mobile experiences through data craftsmanship. Your Platform Best known for iconic video game universes including Warcraft, Overwatch, Diablo, and StarCraft, Blizzard Entertainment, Inc. (****************** a division of Activision Blizzard, which was acquired by Microsoft (NASDAQ: MSFT), is a premier developer and publisher of entertainment experiences. Blizzard Entertainment has created some of the industry's most critically acclaimed and genre-defining games over the last 30 years, with a track record that includes multiple Game of the Year awards. Blizzard Entertainment engages tens of millions of players around the world with titles available on PC via Battle.net, Xbox, PlayStation, Nintendo Switch, iOS, and Android. Our World Activision Blizzard, Inc., is one of the world's largest and most successful interactive entertainment companies and is at the intersection of media, technology and entertainment. We are home to some of the most beloved entertainment franchises including Call of Duty, World of Warcraft, Overwatch, Diablo, Candy Crush and Bubble Witch. Our combined entertainment network delights hundreds of millions of monthly active users in 196 countries, making us the largest gaming network on the planet! Our ability to build immersive and innovative worlds is only enhanced by diverse teams working in an inclusive environment. We aspire to have a culture where everyone can thrive in order to connect and engage the world through epic entertainment. We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! The videogame industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners. We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: * Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; * 401(k) with Company match, tuition reimbursement, charitable donation matching; * Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; * Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; * If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $92,920.00 - $171,814.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

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

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 Senior Actuary to join the Variable Annuity Market Risk Management team within the Consumer Markets Division's Inforce Management department. This role follows a hybrid schedule of four days in the office (on-site) based in Newport Beach, CA, or Omaha, NE. If you are not currently located near one of our offices, we offer comprehensive relocation benefits. You'll play a key role in Pacific Life's growth and long-term success by working on the team that is accountable for model controls and governance, integration, egression testing, and model defect resolution. You'll sit on a team within the Market Risk Management function and will work closely with stakeholders in risk management, capital management, hedging, valuation, modeling, and finance teams across the organization. How you will make an impact: * Lead the Variable Annuity (VA) Market Risk production, overseeing junior team members, on the quarterly Financial Risk Projection and the annual Business Plan, including the projection of income statement, balance sheet, and capital requirement under various capital market and economic scenarios * Conduct in-depth analysis on key drivers of market risk exposures including Aggregate Risk, Equity Risk, and Interest Rate Risk * Produce VA market sensitivities and analyze Greeks including Delta, Rho, Vega, and Delta Gamma under various economic scenarios * Support various risk management responsibilities, including assessment of potential risk mitigation approaches and hedging strategies * Support various inforce management projects for the Variable Annuity business, including the development of market risk related VA assumptions * Identify areas of potential improvements and implement solutions with emphasis on innovation, efficiency, and governance The experience you will bring: * FSA designation * 6+ years of actuarial experience in annuities, life insurance, or finance industry * Bachelor's degree in actuarial science, mathematics, finance, computer science, or related field * Strong quantitative, analytical, and problem-solving skills * Detail-oriented with excellent organizational, communication, and interpersonal skills What will make you stand out: * Experience with any actuarial modeling software, preferably Prophet * Experience with any programming language, preferably R, Python, or Excel VBA 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.

We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine learning model development, and data-driven decision support within a Department of Defense (DoD) program environment. This role involves architecting and deploying end-to-end data solutions that enhance operational effectiveness, readiness forecasting, and mission-critical insights for Navy enterprise systems. Key Responsibilities Design, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithms Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources Create interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiences Collaborate with cross-functional teams including software engineers, data engineers, and subject matter experts Translate mission needs into analytical frameworks, model requirements, and implementation strategies Validate and tune models for performance, explainability, and operational relevance Author technical reports, white papers, and decision briefings for stakeholders and senior leadership Minimum Qualifications U.S. Citizenship with an active or interim Secret clearance Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred) 10+ years of professional experience in data science and leadership or senior technical role Security+ Certification Proven experience with: Python, R, SQL, and Spark for data analysis and modeling Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost Data visualization tools like Power BI, Tableau, or Plotly Cloud platforms (AWS, Azure, or Google Cloud) and MLOps workflows Experience working with DoD or federal data systems, including handling controlled unclassified information (CUI) Additional Preferred Qualifications Experience developing AI/ML solutions in support of Navy or defense logistics, sustainment, or readiness analytics Familiarity with DoD data governance, data labeling, and ethical AI guidelines Strong understanding of model operationalization, A/B testing, and production monitoring Knowledge of data engineering concepts including ETL pipelines, data lakes, and data mesh architectures Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner) Ability to mentor junior data scientists and lead cross-disciplinary technical teams