Data scientist jobs in Perris, CA - 163 jobs

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS audit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integrity. You'll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning-transforming how we ensure both quality and regulatory alignment. Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and help develop predictive models and intelligent workflows that drive better member health outcomes, improve quality metrics, and enhance operational efficiency across our Medicare Advantage offerings. You'll work on a diverse portfolio of high-impact projects spanning clinical intelligence, quality improvement, payment integrity, and emerging AI/NLP solutions, all underpinned by our proprietary AVA technology platform. This is a unique opportunity to work at the intersection of healthcare, machine learning, and real-world impact, applying advanced analytics to solve complex problems that improve the quality of healthcare for our members. Job Duties/Responsibilities Collaborate with business stakeholders to understand complex healthcare and operational challenges, then design and implement analytical solutions that drive measurable outcomes Develop predictive models and workflows for AVA, our proprietary clinical intelligence platform, supporting autonomous chart review, clinical analytics, disease detection, and compliance forecasting Build and deploy scalable model pipelines that integrate NLP, random forests, gradient boosted algorithms, ensemble models, and data processing using Python, R, Databricks, MLFlow, and Unity Catalog Design and implement quality improvement models in partnership with our Quality team to enhance member health outcomes, improve Stars ratings, and support HEDIS reporting and forecasting initiatives Develop automated validation and quality assurance models for the Payment Integrity team to improve accuracy and reduce manual review burden Build AI / NLP / LLM solutions for document understanding, including the training of vision detection algos and development / deployment of OCR and NER pipelines that process medical charts at scale Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, GitHub, Azure, and cloud-based infrastructure Design algorithms to predict audit risk and detect documentation anomalies across cohorts and markets, supporting RADV audit preparedness and CMS compliance Partner cross-functionally with Pharmacy, Actuaries, Clinical, Data Engineering, and Software Engineering teams to ensure analytical outputs align with CMS guidance and regulatory requirements Support CMS Star Ratings strategy, including HEDIS, CAHPS, and HOS analysis and predictive modeling, and root cause analysis on rate movement through the measurement year Help standardize definitions, documentation logic, and reporting workflows at scale for enterprise-wide AI readiness and analytical capabilities Supervisory Responsibilities: N/A MINIMUM REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 2+ years of relevant experience in predictive modeling, machine learning, and data science Demonstrated ability to build end-to-end data science solutions with measurable real-world impact Education/Licensure: Preferred: MSc or PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, OR equivalent professional experience Other: Strong programming proficiency in Python and/or R (primary focus for this role) Solid understanding of data structures, algorithms, and software engineering principles Demonstrated proficiency in SQL and relational databases Experience with Git and version control workflows Deep knowledge of machine learning algorithms, including deep neural networks, NLP, and LLMs Experience manipulating and analyzing complex, high-volume, high-dimensionality, and unstructured data from multiple sources Expertise in experimental design, statistical rigor (confidence intervals, significance testing, train/test/validation methodology) Strong data visualization and presentation skills; ability to translate complex analysis into actionable insights Excellent communication and collaborative problem-solving abilities Demonstrated ability to thrive in ambiguous, fast-paced environments while prioritizing effectively Strong analytical mindset with attention to detail and commitment to data quality Preferred Qualifications: Healthcare industry experience or familiarity with healthcare data challenges Hands-on experience with Databricks for distributed data processing and ML workflows Experience with MLFlow and Unity Catalog for model versioning and governance Experience with Azure, AWS, or other cloud ecosystems Familiarity with NoSQL databases Knowledge of CMS and Medicare Advantage operations Published work in academic conferences or industry circles Experience with containerized environments and CI/CD pipelines Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ESSENTIAL PHYSICAL FUNCTIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Pay Range: $149,882.00 - $224,823.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

Data Scientist, Pricing Opendoor is transforming one of the largest, most complex markets in the world - residential real estate - using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company's financial performance. We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You'll operate at the intersection of economics, machine learning, experimentation, and product strategy - tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory - and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace. What You'll Do * Build and maintain pricing metrics, dashboards, and frameworks. * Run experiments and causal analyses to measure impact and drive decisions. * Develop predictive + statistical models that improve pricing accuracy. * Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment. * Deliver insights and narratives that inform executive strategy. Skills & Qualifications * Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise. * Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring. * Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.). * Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making. * Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs. * High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition. * Effective communicator - able to tell the story behind the model to both highly technical and non-technical audiences. Base salary range for this role varies. Generally, the base salary range is $135,000 - $199,000 CAN annually + RSUs + bonus + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K). JR 9200 #LI-KC1 At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.

We are seeking an AI Data Scientist to support defense-related testing, engineering, integration, and sustainment activities for advanced C5ISR systems. This role focuses on data integration, advanced analytics, and the development and deployment of secure AI/ML solutions in both real-world and theoretical environments. The position supports decision-making, experimentation, and operational effectiveness through scalable and portable data-driven solutions. Key Responsibilities Conduct data integration across multiple sources and systems Investigate and develop flexible analytics solutions, including visualization, model building, and decision-support capabilities Support the secure, rapid development, training, evaluation, debugging, and deployment of AI models Develop AI/ML solutions applicable to distributed, vehicle-mounted, and on-premises environments Apply data science methodologies, standards, and frameworks to operational and test environments Required Skills & Qualifications Ability to apply data science expertise using established processes, methodologies, and frameworks Experience developing and applying data science tools in integrated test and/or operational environments Proficiency with statistical programming languages such as Python, R, and SQL Experience with programming languages such as C, C++, Java, or JavaScript Experience designing, working with, and maintaining data architectures Hands-on experience with AI/ML techniques, including large language models, clustering, decision trees, and neural networks Strong understanding of advanced statistical techniques, including regression, probability distributions, and statistical testing Active Secret security clearance Preferred Qualifications Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Computer Engineering, or a related field Knowledge of statistical analysis and data mining techniques Three or more years of experience with distributed data and computing tools Three or more years of experience developing and applying advanced machine learning and statistical models, including regression, simulation, modeling, clustering, and neural networks Experience visualizing data and presenting analytical results to technical and non-technical stakeholders Working Place: Camp Pendleton, California, United States Company : 2026 Jan 29th Virtual Fair - Auria Space

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

Meet REVOLVE: REVOLVE is the next-generation fashion retailer for Millennial and Generation Z consumers. As a trusted, premium lifestyle brand, and a go-to online source for discovery and inspiration, we deliver an engaging customer experience from a vast yet curated offering totaling over 45,000 apparel, footwear, accessories and beauty styles. Our dynamic platform connects a deeply engaged community of millions of consumers, thousands of global fashion influencers, and more than 500 emerging, established and owned brands. Through 16 years of continued investment in technology, data analytics, and innovative marketing and merchandising strategies, we have built a powerful platform and brand that we believe is connecting with the next generation of consumers and is redefining fashion retail for the 21st century. For more information please visit **************** At REVOLVE the most successful team members have a thirst and the creativity to make this the top e-commerce brand in the world. With a team of 1,000+ based out of Cerritos, California we are a dynamic bunch that are motivated by getting the company to the next level. It's our goal to hire high-energy, diverse, bright, creative, and flexible individuals who thrive in a fast-paced work environment. In return, we promise to keep REVOLVE a company where inspired people will always thrive. To take a behind the scenes look at the REVOLVE “corporate” lifestyle check out our Instagram @REVOLVEcareers or #lifeatrevolve. Are you ready to set the standard for Premium apparel? Main purpose of the Data Science Analyst role: Use a diverse skill sets across math and computer science, dedicated to solving complex and analytically challenging problems here at Revolve. Major Responsibilities: Essential Duties and Responsibilities include the following. Other duties may be assigned. Partner closely with business leaders in Marketing, Product, Operations, Buying team to plan out valuable data science projects Conduct complex analysis and build models to uncover key learning form data, leading to appropriate strategy recommendations. Work closely with the DBA to improve BI's infrastructure, architect the reporting system, and invest in time for technical proof of concept. Work closely with the business intelligence and tech team to define, automate and validate the extraction of new metrics from various data sources for use in future analysis Work alongside business stakeholders to apply our findings and models in website personalization, product recommendations, marketing optimization, to fraud detection, demand forecast, CLV prediction. Required Competencies: To perform the job successfully, an individual should demonstrate the following competencies: Outstanding analytical skills, with strong academic background in statistics, math, science or technology. High comfort level with programming, ability to learn and adopt new technology with short turn-around time. Knowledge of quantitative methods in statistics and machine learning Intense intellectual curiosity - strong desire to always be learning Proven business acumen and results oriented. Ability to demonstrate logical thinking and problem solving skills Strong attention to detail Minimum Qualifications: Master Degree is required 3+ years of DS and ML experience in a strong analytical environment. Proficient in Python, NumPy and other packages Familiar with statistical and ML methodology: causal inference, logistic regression, tree-based models, clustering, model validation and interpretations. Experience with AB Testing and pseudo-A/B test setup and evaluations Advanced SQL experience, query optimization, data extract Ability to build, validate, and productionize models Preferred Qualifications: Strong business acumen Experience in deploying end to end Machine Learning models 5+ years of DS and ML experience preferred Advanced SQL and Python, with query and coding optimization experience Experience with E-commerce marketing and product analytics is a plus A successful candidate works well in a dynamic environment with minimal supervision. At REVOLVE we all roll up our sleeves to pitch-in and do whatever it takes to get the job done. Each day is a little different, it's what keeps us on our toes and excited to come to work every day. A reasonable estimate of the current base salary range is $90,000 to $120,000 per year. ATTENTION: After submitting your application, please check your spam folder for emails on your application status. Emails are sent from an ADP email address. The following job description contains representative examples of work that will be performed in positions allocated to this classification. It is not required that any position perform all of the duties listed, so long as primary responsibilities are consistent with the work as described. Roles and responsibilities can often be expanded to accommodate changing business conditions and goals, as well as to tap into the skills and talents of the individuals in the company. Accordingly, associates may be asked to perform duties that are outside the specific functions that are listed.

Data Scientist - User Insights Salary $150k -$180k Orange County - Hybrid Were looking for a Data Scientist to develop and deploy machine learning models that drive personalization and recommendation insights across SaaS and mobile app platforms.Candidate must be experienced in applying machine learning to real-world problems beyond just theoretical and mathematical concepts Over 5 years of experience designing, building, and deploying large-scale ML systems, with a preference for expertise in recommender systems, predictive modeling, or ad-tech. Proven track record of successfully bringing machine learning solutions to market. You need to deliver data in a way that engineers can easily use and integrate into their systems What youll do: Design, train, and deploy scoring and recommendation models that connect users with relevant offers and personalized experiences in an application. Practical experience working with Generative AI and large language model workflows. Collaborate with engineering, product teams to develop scalable machine learning systems that align with product goals . Successfully moved several machine learning models from prototype to production, delivering real business results. Skilled in Python and its tools like Pandas, PyTorch and TensorFlow. Strong SQL knowledge and experience working with big data platforms like Spark and Snowflake. Experience working hands-on with Generative AI and large language model workflows, including prompt engineering and fine tuning. Experience with ML Ops on cloud platforms such as AWS, including container tools like Docker and Kubernetes, and workflow tools like Airflow and Kubeflow. Experienced in integrating model services with scalable, version-controlled APIs for reliable deployment and maintenance. Perks: Medical, dental, and vision Wellness reimbursements Unlimited PTO Equity opportunity 401(k)

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.

SR. DATA SCIENTIST - AI/ML & LLM (AR/PA IT) Bowhead seeks a Sr. Data Scientist - AI/ML & LLM Specialist to join our team supporting the AR/PA IT Program at Naval Surface Warfare Center - Corona in Corona, California. The Sr. Data Scientist - AI/ML & LLM Specialist will work directly with the client analyzing complex and unique technical support assignments and lead or collaborate with engineers, cybersecurity personnel, and program analysts within an agile environment. They will report to the Program Manager of the Task Order. They will consider overall project design including cost, and schedule that may be associated with a project. **Responsibilities** + Hands-on experience fine-tuning and applying Large Language Models (LLMs) such as GPT, LLaMA, or Claude for NLP and generative tasks + Strong programming skills in Python; experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn + Proven experience with data analytics, feature engineering, and building end-to-end ML pipelines + Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines + Experience integrating AI/ML models into secure or cloud-hosted environments (AWS, Azure, etc.) + Knowledge of RMF, STIGs, and DoD cybersecurity compliance practices + Conduct research to identify and assess new technology solutions for automating existing reporting processes. + Collaborate with cross-functional teams to design hardware and software architectures and system hosting strategies. + Lead the development of interfaces and software code to efficiently retrieve, modify, and update data. + Support the research and development of artificial intelligence/machine learning methods for advanced data analysis. **Qualifications** + Active DoD Security Clearance (Secret or higher required) + Five (5+) years of experience developing and deploying AI/ML models in enterprise or government environments + Must hold CompTIA Security+ (CE) certification + Strong problem-solving skills and the ability to innovate and implement creative solutions. + Excellent communication skills to collaborate effectively with cross-functional teams. + Attention to detail and a commitment to producing high-quality results. + Ability to provide clear and comprehensive technical documentation. + Proven experience in providing training and knowledge transfer to team members. Physical Demands: + Must be able to lift up to 25 pounds + Must be able to stand and walk for prolonged amounts of time + Must be able to twist, bend and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. US Citizenship is a requirement for Secret clearance at this location. Applicants may be subject to a pre-employment drug & alcohol screening and/or random drug screen, and must follow UIC's Non-DOT Drug & Alcohol Testing Program requirements. If the position requires, an applicant must pass a pre-employment criminal background history check. All post-secondary education listed on the applicant's resume/application may be subject to verification. Where driving may be required or where a rental car must be obtained for business travel purposes, applicants must have a valid driver license for this position and will be subject to verification. In addition, the applicant must pass an in-house, online, driving course to be authorized to drive for company purposes. UIC is an equal opportunity employer. We evaluate qualified applicants without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics EOE/D/V. In furtherance, pursuant to The Alaska Native Claims Settlement Act 43 U.S.C. Sec. 1601 et seq., and federal contractual requirements, UIC and its subsidiaries may legally grant certain preference in employment opportunities to UIC Shareholders and their Descendants, based on the provisions contained within The Alaska Native Claims Settlement Act. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. Please view Equal Employment Opportunity Posters provided by OFCCPhere (******************************************* . All candidates must apply online at ***************** , and submit a completed application for all positions they wish to be considered. Once the employment application has been completed and submitted, any changes to the application after submission may not be reviewed. Please contact a UIC HR Recruiter if you have made a significant change to your application. In accordance with the Americans with Disabilities Act of 1990 (ADA), persons unable to complete an online application should contact UIC Human Resources for assistance *****************/careers/recruitment/ . The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) UIC Government Services (UICGS / Bowhead) provides innovative business solutions to federal and commercial customers in the areas of engineering, maintenance services, information technology, program support, logistics/base support, and procurement. Collectively, the fast-growing Bowhead Family of Companies offers a breadth of services which are performed with a focus on quality results. Headquartered in Springfield, VA, we are a fast-growing, multi-million-dollar company recognized as a top Alaska Native Corporation providing services across the Department of Defense and many federal agencies. Bowhead offers competitive benefits including medical, dental, vision, life insurance, accidental death and dismemberment, short/long-term disability, and 401(k) retirement plans as well as a paid time off programs for eligible full-time employees. Eligible part-time employees are able to participate in the 401(k) retirement plans and state or contract required paid time off programs. **Join our Talent Community!** Join our Talent Community (************************************************************************ to receive updates on new opportunities and future events. **ID** _2025-23125_ **Category** _Information Technology_ **Location : Location** _US-CA-Corona_ **Min** _USD $135,000.00/Yr._ **Max** _USD $175,000.00/Yr._ **Minimum Clearance Required** _Secret_ **Travel Requirement** _Less than 10%_

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. We're looking for a Senior Data Scientist with credit analytics experience to develop automated reports, dashboards, and insights across the full credit lifecycle. You'll support underwriting, risk management, portfolio monitoring, and credit performance, while partnering directly with clients to ensure analytics align with their needs. You will report to the VP of Analytics Product Build, Innovation, and Scores. You'll have opportunity to: + Build credit risk dashboards, reports, and analytics using Python and Tableau. + Analyze the credit lifecycle (underwriting, performance, delinquency, and collections) to identify important insights. + Develop and automate reporting pipelines and monitoring frameworks. + Translate analytics into strategies for risk, business, and client teams. + Perform deep‑dive analyses on credit behavior, defaults, and scoring models. + Present insights to clients in clear, applicable formats. + Guide clients in using dashboards and analytics for decision‑making. + Ensure data quality, accuracy, and compliance with reporting standards. + Improve existing reporting and build new analytics for better forecasting and risk assessment. + Mentor junior team members on visualization, reporting, and credit analytics. + Be a trusted advisor in client meetings, presentations, and workshops. + 5+ years in credit risk analytics, data science, or BI with credit lifecycle focus. + Python skills (Pandas, NumPy, SQLAlchemy, and Matplotlib). + Proficient in Tableau dashboarding and data visualization. + Experience with credit risk metrics, loan performance, and lifecycle modeling. + Experience with large datasets and data warehouse environments. + SQL for ETL and automated reporting. + Clear communicator, able to simplify complex insights. + Client‑facing experience translating analytics into strategies. + Background in financial services, FinTech, or lending. + Experience with ML models for credit risk. + Familiarity with regulatory reporting in credit/lending. + Bonus: Knowledge of Power BI or Looker. At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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

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

Are you passionate about changing the world through machine learning and location intelligence? Join Esri as we leverage the IoT revolution and explosive growth of location data to help organizations extract advanced intelligence, predict significant events, and automate work processes using AI and machine learning. We're seeking a Data Scientist II who combines technical expertise with strong interpersonal skills to collaborate directly with customers, understand their unique challenges, and develop data-driven solutions that integrate seamlessly with GIS workflows. While prior GIS experience is not required, you'll work closely with GIS experts and gain valuable knowledge in spatial data analytics. We serve customers across diverse domains including natural resources, defense, commercial industries, public transportation, utilities, and governmental entities in over 160+ countries. Responsibilities Consult closely with customers to understand their needs and serve as Esri's sole representative Scope projects, communicate uncertainties and risks, and accurately estimate delivery times Develop and pitch data science solutions that map business problems to advanced analytics approaches Serve as a subject matter expert for internal stakeholders Write production-level code for data analysis and process automation Build high-quality analytics systems employing techniques from data mining, statistics, and machine learning Perform feature engineering, model selection, and hyperparameter optimization to achieve high predictive accuracy Deploy models to production environments and assist customers in troubleshooting implementations Implement best practices for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping Design and implement generative AI solutions and agentic systems to enhance customer workflows and automate complex geospatial tasks Stay updated with the latest trends in machine learning, deep learning, and AI, and incorporate them into project delivery Quickly become proficient in unfamiliar fields to address diverse customer needs Requirements 2+ years of practical machine learning experience or relevant academic/lab work Hands-on relevant experience in generative AI, large language models, and agentic systems Exemplify tenacity, determination, creativity, curiosity, and independence in problem-solving Ability to learn new concepts quickly and implement new technologies rapidly Flexibility to adapt to diverse customer solutions in a rapidly evolving technical landscape Experience working with non-technical stakeholders in multiple domains Proficiency in building and optimizing supervised and unsupervised machine learning models, including deep learning techniques Fundamental understanding of mathematical and machine learning concepts Applied statistics experience Expertise in developing machine learning solutions, preferably in Python Proficiency in data extraction, transformation, and loading between various systems Ability to produce compelling data visualizations to convey results Strong communication skills, including the ability to explain technical concepts to non-technical audiences Capability to manage multiple projects simultaneously Bachelor's degree in mathematics, statistics, computer science, physics, or a related field Recommended Qualifications Master's degree or PhD in mathematics, statistics, computer science, physics, or a related field Experience with spatial and GIS concepts, preferably using Esri software Familiarity with Git, ML libraries such as PyTorch and TensorFlow, and transformers-based large language models (LLMs) Experience handling large-scale batch/streaming data with big data tools like Apache Spark Experience with cloud services (AWS, Azure, and more) #LI-MN1

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.

Project description Luxoft is looking for a Senior Data Engineer for development of new application to be used by investors and investment committees to review their portfolio data, tailored to specific user groups. Responsibilities Work with complex data structures and provide innovative ways to a solution for complex data delivery requirements Evaluate new and alternative data sources and new integration techniques Contribute to data models and designs for the data warehouse Establish standards for documentation and ensure your team adheres to those standards Influence and develop a thorough understanding of standards and best practices used by your team Skills Must have Seasoned data engineer who has hands-on experience in AWS to conduct end-to-end data analysis and data pipeline build-out using Python, Glue, S3, Airflow, DBT, Redshift, RDS, etc. Extensive Python API design experience, preferably Fast API Strong SQL knowledge Nice to have Pyspark Databricks ETL design

Job Description We are seeking an AI Data Scientist to support defense-related testing, engineering, integration, and sustainment activities for advanced C5ISR systems. This role focuses on data integration, advanced analytics, and the development and deployment of secure AI/ML solutions in both real-world and theoretical environments. The position supports decision-making, experimentation, and operational effectiveness through scalable and portable data-driven solutions. Key Responsibilities Conduct data integration across multiple sources and systems Investigate and develop flexible analytics solutions, including visualization, model building, and decision-support capabilities Support the secure, rapid development, training, evaluation, debugging, and deployment of AI models Develop AI/ML solutions applicable to distributed, vehicle-mounted, and on-premises environments Apply data science methodologies, standards, and frameworks to operational and test environments Required Skills & Qualifications Ability to apply data science expertise using established processes, methodologies, and frameworks Experience developing and applying data science tools in integrated test and/or operational environments Proficiency with statistical programming languages such as Python, R, and SQL Experience with programming languages such as C, C++, Java, or JavaScript Experience designing, working with, and maintaining data architectures Hands-on experience with AI/ML techniques, including large language models, clustering, decision trees, and neural networks Strong understanding of advanced statistical techniques, including regression, probability distributions, and statistical testing Active Secret security clearance Preferred Qualifications Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Computer Engineering, or a related field Knowledge of statistical analysis and data mining techniques Three or more years of experience with distributed data and computing tools Three or more years of experience developing and applying advanced machine learning and statistical models, including regression, simulation, modeling, clustering, and neural networks Experience visualizing data and presenting analytical results to technical and non-technical stakeholders

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. We are looking for an experienced Senior Data Scientist to join our Alternative Financial Services (AFS) department, supporting clients in the non‑prime and near‑prime lending markets. You'll design custom analytics, credit strategies, and machine‑learning models using both traditional and alternative data. This is a client‑facing, solution‑oriented role requiring technical depth and the ability to convert complex analyses into practical, applicable recommendations. You will report to the VP of Analytics Product Build, Innovation, and Scores. You'll have opportunity to: + Lead custom analytics and modeling engagements from scoping through delivery and ongoing support. + Develop credit strategies and ML models (underwriting, line assignment, pricing, early warning, collections). + Engineer features from alternative, transactional, and bureau data (e.g., recency, frequency, volatility, trend, and behavioral metrics). + Evaluate and integrate third‑party/alternative data sources (sub‑prime bureaus, cash-flow, telco, utility, and specialty data). + Conduct segmentation, lift analysis, and champion/challenger testing to assess performance and incremental value. + Develop custom scorecards, policy rules, and ML models aligned with each client's risk appetite and regulatory requirements. + Partner with clients to build end‑to‑end credit strategies that balance approvals, losses, efficiency, and customer experience. + Deliver clear, executive‑ready insights, documentation, and strategy recommendations. + Present results directly to risk leaders, analytics teams, and senior client partners. + Support model implementation, monitoring, stability analysis, and ongoing optimization. + Work cross‑functionally with Product, Engineering, and Sales to align custom solutions with broader AFS capabilities. + Contribute to AFS best practices, reusable frameworks, and internal accelerators for non‑prime analytics. + 5+ years in credit risk analytics, data science, or advanced analytics, with experience in non‑prime or near‑prime lending. + Hands‑on modeling experience using alternative data. + Proficiency in Python (Pandas, NumPy, scikit‑learn, XGBoost/LightGBM) for feature engineering, modeling, and analysis. + Advanced SQL experience working with complex, and imperfect datasets. + Experience with non‑prime risk dynamics: thin‑file consumers, volatility, fraud risk, early‑default behavior. + Experience with model evaluation (AUC, KS, lift, bad‑rate curves, stability, PSI). + Work directly with clients and translate analytics into deployable strategies. + Explain complex models in clear business terms. + Background in financial services, alternative lending, FinTech, or specialty finance. + Experience with AFS data sources (Clarity, FactorTrust, MicroBilt, cash‑flow or specialty bureaus). + Familiarity with model governance, explainability, and regulatory considerations in non‑prime lending. + Experience deploying or supporting ML models in production environments. + Exposure to fraud, identity, or first‑payment‑default (FPD) modeling. + Experience mentoring junior data scientists or analysts. + Consult, client delivery, or solution‑oriented project experience. Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. We're actively seeking a talented Senior Actuary to join our Fixed Annuity Valuation team in Newport Beach, CA, or Omaha NE. This role follows a hybrid schedule of four days in the office (on-site). If you are not currently located near one of our offices, you will be required to relocate. As a Senior Actuary, you will be working on Statutory, GAAP and Tax Valuation for the Fixed Annuity products, and will lead and support key valuation initiatives such as support regulatory changes implementation, new product development and valuation integration, model refinement, testing and validation, assumption impact analysis and oversight, reinsurance arrangement support, enhancement of quarter-end analysis and reporting, and process improvement and automation. How you will make an impact: Review quarterly and annual reserves and financial entries for Fixed Annuity products Lead validation of modeling enhancements and modifications, ensuring proper controls and processes aligned with MRM and ICFR guidance Direct the development of analytical tools to explain modeled results and drivers of movement Support quantitative analysis of model output and enhance reporting capabilities Lead implementation of regulatory changes Oversee assumption impact analysis and sign off the assumptions for Fixed products Provide support for Fixed reserve audit requests (e.g., Department of Insurance), and interface with auditors, state regulators, and examiners Support new product development and implementation Communicate and present financial results to management with clarity and appropriate depth; develop and recommend strategies to address issues and improve performance Collaborate with colleagues across departments and divisions; build strong relationships and provide actuarial expertise to internal stakeholders and corporate management Lead and develop a team of actuarial professionals by providing guidance, oversight, and mentorship Perform ad-hoc analysis and contribute to special projects as needed The experience you will bring: Bachelor's degree in Mathematics, Economics, Finance, Actuarial Science, Statistics, or related degree Fellow of the Society of Actuaries (FSA) with 7+years of experience Demonstrated initiative and ownership of responsibilities Strong problem-solving and communication skills What will make you stand out: Proficient in actuarial modeling software; experience with Poly Systems and Prophet is a plus working knowledge of fixed annuity valuation Ability to work independently and collaboratively as part of a team, and to manage long-term projects. You can be who you are. We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $163,620.00 - $199,980.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Team Name: MarketingJob Title:Senior Data Scientist, Mobile User Acquisition - Blizzard (Irvine, CA) Requisition ID:R026169Job Description: 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.