Senior data scientist jobs in Highland, CA - 105 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 ******************.

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%_

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.

Americor is an innovative finance technology company with a unique approach to debt resolution. Americor focuses on getting Americans out of debt quickly and responsibly so they can take control of their lives again. Our employees love coming to work and find value in what they do, consistently recognizing Americor as a top place to work. With over a decade of experience paired with a number of best company awards, Americor has relieved over $2 billion in debt for over 200,000 Americans. We are seeking an enthusiastic Sr. Data Scientist to join our team, with a specific focus on marketing optimization and machine learning productionisation. This role is ideal for someone who thrives at the intersection of data science, cloud engineering and business strategy. In the role, you'll work closely with stakeholders across Marketing, Sales, Data and Product to build predictive models, scale model implementation in AWS and translate model performance into insights and actions for executive leadership. Responsibilities: Perform extensive exploratory analyses across all the marketing channels Develop, test, productionalize, monitor and maintain propensity models to optimize marketing investment and customer acquisition in AWS leveraging S3, Lambda and SageMaker Productionize machine learning models with real-time and distributed batch scoring Proficiency with MLOps practices and tools for model versioning, monitoring, CI/CD pipelines Build dashboards in Tableau to communicate model trends, insights and performance Identify new areas of opportunity and ideate with stakeholders on new projects Stay current with industry best practices and emerging ML technologies Other duties as assigned Education & Experience: 5+ years of experience applying ML within lead generation and digital marketing Advanced AWS experience; solutions architect certification or equivalent expertise preferred Advanced proficiency with XGBoost, Neural Networks, and other ML techniques Advanced Python, SQL and Tableau Excellent storytelling and presentation skills Proven ability to position oneself to advise and teach across a data organization Bachelor's degree in Applied Mathematics, Computer Science, Physics, or equivalent experience; Master's preferred Additional Benefits: Career path Medical Dental Company paid group life / AD&D insurance 7 paid holidays and 2 flex days to use at will Paid time off Flexible spending/HAS Employee Assistance Program (EAP) 401(k) Referral program Compensation: $120,000-$150,000 annually, depending on experience. Work Location: Hybrid/Remote- Irvine, CA. Note to Agencies: Americor Funding Inc. has an internal recruiting department and may, at times, supplement that capability with assistance from temporary staffing agencies, placement services, and professional recruiters (“Agency”). Agencies are directed not to contact Americor Funding Inc. employees directly to present candidates. It is the Company's policy that all candidates must be presented to hiring managers exclusively by the internal recruiting team or other authorized personnel. Any unsolicited resumes sent to Americor Funding Inc. by an Agency-including those sent to any Company mailing address, fax, email, employee, or the resume database-will be considered the property of the Company. Americor Funding Inc. will not pay a fee for any placement resulting from an unsolicited resume. Any candidate for whom an Agency submits an unsolicited resume will be deemed referred at no cost to the Company. Americor is proud to be an Equal Opportunity Employer. Americor does not discriminate based on race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law.

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)

About Us Veros Credit is committed to making vehicle ownership possible for everyone. Through our vast network of independent and franchise dealers, we have helped countless customers with their financing needs, allowing them to drive off in the vehicle they deserve. We realize that our greatest assets are our employees, which is why we strive to make work welcoming and fun but offer limitless opportunities for growth and advancement. At Veros Credit, you can look forward to company events, free meals quarterly, holiday activities, and more. You will be greeted by friendly, positive, and ambitious team members, and work alongside leaders who encourage and value your new ideas. We are proud to say that it is this sense of community that makes us excited to walk through the door every day. Some of our benefit offerings include: Medical, Dental, and Vision Insurance Life Insurance Flexible Spending Accounts (FSA) Accident, Hospital, Indemnity Insurance Short Term Disability (STD) and Long-Term Disability (LTD) Insurance Employee Assistance Program (EAP) 401(k) Plan Employee Stock Ownership Plan (ESOP) Tuition Reimbursement Paid Holidays Paid Time Off (PTO) Transportation Reimbursement Benefit (Mass Transit, Carpool, and Plug-In Electric Vehicle) Referral Bonus Quarterly lunches Daily fresh fruit Office Starbucks Coffee/Latte/Espresso Machine And a lot more! About The Position The Data Scientist will be part of a team responsible for creating ML solutions and analysis to help mitigate portfolio risk. You will perform and implement the results of analysis into our decisioning API. The ideal candidate will have 1 to 3 years of experience in the financial services sector, with hands on demonstrable experience in machine learning and working in cloud environments. Essential Responsibilities: Perform advanced data and statistical analysis in support of the creation and maintenance of performance scorecards. Support the Credit Risk Management team in data analysis and model construction. 1+ years of experience with designing, building, and deploying scalable, highly available, and fault tolerant systems in a cloud environment. Manage, maintain, and improve our decisioning application on AWS Develop and integrate model strategy to support business initiatives and risk-based pricing. Perform data manipulation and analysis using SQL, R or Python and Microsoft Excel. Develop Machine Learning models in areas such as segmentation analysis, logistic regression, decision trees and other advanced algorithms. Incorporate observations and data into existing models to improve predictive results. Identify deviations from forecast/expectations and explain variances. Contribute to loss forecasts, demographic and credit limit utilization analysis. Prepare exhibits and supporting materials. Develop recommendations for credit policy. Track portfolio performance and risk strategy results. Identify opportunities to leverage statistical solutions to solve business problems. Other duties as assigned. Essential Requirements: Familiarity with Python machine learning frameworks and tools. Experience in Consumer Lending a plus (Auto Finance, Mortgage, Credit Cards, Personal Lending, etc.) Strong SQL skills for data extraction and analysis Proficiency with Microsoft Excel Exposure to software development methodologies like using GIT and understanding of how APIs work. Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions. Strong communication and problem-solving skills with the ability to interact with others in a professional, tactful, and sensitive manner. Demonstrated ability to communicate technical concepts to a non-technical audience. Demonstrated ability to manipulate and analyze data across large databases. Detail oriented and organized with a strong work ethic and team focus. Ability to work in a fast-paced environment, both independently and as part of a team with the ability to work under tight deadlines and manage more than one assignment at a time. Advanced Degree in Mathematics, Statistics, Computer Science, Quantitative Analysis or equivalent work experience. Knowledge of A/B testing and other experimental design methodologies. Salary: $95,000.00 - $115,000.00 annually + Bonus **In-office position based at our Corporate Office in Santa Ana, CA. Candidates must reside within 20 miles of this location.** We do not offer employment sponsorship. Veros Credit, LLC is an equal opportunity employer. **This Organization Participates in E-Verify

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.

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.

Click on "Learn more about this agency" button below for IMPORTANT additional information. This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection. Click on "Learn more about this agency" button below for IMPORTANT additional information. This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection. Overview Help Accepting applications Open & closing dates 12/22/2025 to 12/21/2026 Salary $63,795 to - $164,301 per year Pay scale & grade GS 11 - 15 Locations FEW vacancies in the following locations: Eielson AFB, AK Elmendorf AFB, AK Fort Richardson, AK Maxwell AFB, AL Show morefewer locations (79) Little Rock AFB, AR Davis Monthan AFB, AZ Luke AFB, AZ Beale AFB, CA Edwards AFB, CA El Segundo, CA Los Angeles, CA March AFB, CA Travis AFB, CA Vandenberg AFB, CA Air Force Academy, CO Buckley AFB, CO Cheyenne Mountain AFB, CO Colorado Springs, CO Peterson AFB, CO Schriever AFB, CO Joint Base Anacostia-Bolling, DC Dover AFB, DE Cape Canaveral, FL Cape Canaveral AFS, FL Eglin AFB, FL Homestead AFB, FL Hurlburt Field, FL MacDill AFB, FL Patrick AFB, FL Tyndall AFB, FL Dobbins AFB, GA Moody AFB, GA Robins AFB, GA Hickam AFB, HI Mountain Home AFB, ID Scott AFB, IL Grissom AFB, IN Barksdale AFB, LA Hanscom AFB, MA Westover Air Reserve Base, MA Andrews AFB, MD Linthicum Heights, MD Selfridge ANG Base, MI Whiteman AFB, MO Columbus AFB, MS Keesler AFB, MS Malmstrom AFB, MT Grand Forks, ND Minot AFB, ND Offutt AFB, NE New Boston, NH McGuire AFB, NJ Cannon AFB, NM Holloman AFB, NM Kirtland AFB, NM Nellis AFB, NV Niagara Falls, NY Wright-Patterson AFB, OH Youngstown, OH Youngstown, OH Altus AFB, OK Tinker AFB, OK Vance AFB, OK Charleston, SC Shaw AFB, SC Arnold AFB, TN Dyess AFB, TX Fort Sam Houston, TX Goodfellow AFB, TX Kelly AFB, TX Lackland AFB, TX Laughlin AFB, TX Randolph AFB, TX Hill AFB, UT Alexandria, VA Arlington, VA Dahlgren, VA Fort Eustis, VA Langley AFB, VA Pentagon, Arlington, VA Fairchild AFB, WA McChord AFB, WA Warren AFB, WY Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Multiple Work schedule Full-time Service Competitive Promotion potential 15 Job family (Series) * 1520 Mathematics Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number AFPC-STEMDHA-12*********** Control number 852876400 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help * Duties and responsibilities vary and may increase according to grade level * Plan and carry out the collection and analysis of information, data and standards used by the assigned organization to perform mathematics tasks. * Carry out special projects designed to facilitate the full use of the interns training and development. * Keep abreast of emerging technologies and professional developments to maintain current in the field and for application to work assignments. * Perform scientific work in the field of mathematics in support of conventional projects, or portions of larger projects and programs under the guidance of a senior mathematician or scientist. Requirements Help Conditions of employment * Please read this Public Notice in its entirety prior to submitting your application for consideration. * U.S. Citizenship is required * Males must be registered for Selective Service, see *********** * Total salary varies depending on location of position * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * Recruitment incentives may be authorized * Position may be subject to random drug testing * Employee may be required to work other than normal duty hours, to include evenings, weekends and/or holidays * Shift work and emergency overtime may be required * Employee must maintain current certifications * A security clearance may be required * Disclosure of Political Appointments is required Qualifications In order to qualify, you must meet the specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Group Coverage Qualification Standard for Professional and Scientific Positions. BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: mathematics; or the equivalent of a major that included at least 24 semester hours in mathematics. OR Combination of education and experience - courses equivalent to a major in mathematics (including at least 24 semester hours in mathematics), as shown in A above, plus appropriate experience or additional education. SPECIALIZED EXPERIENCE: In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below. GS-11: One year of specialized experience (equivalent to GS-09) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes performing full range of activities required for the scientific area under study and utilizing an intense application of specialized methods and techniques of the required field of mathematics; gathering, analyzing and processing of data and information to support work efforts. GS-12: One year of specialized experience (equivalent to GS-11) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes directing, coordinating and reviewing work of the other members of the team; planning, organizing and conducting the operational and performance tests and technical evaluation of test results. GS-13: One year of specialized experience (equivalent to GS-12) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes advising and providing technical assistance to scientific, engineering, mathematical and managerial personnel on the mathematical aspects of range safety work; reviewing scientific and mathematical studies and papers and convert results into practical recommendations and procedures. GS-14: One year of specialized experience (equivalent to GS-13) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes formulating, conducting, organizing and directing highly creative and independent research programs; defining and selecting basic problems for investigation based on needed improvements to the state of the art in mathematical modeling; providing contractual technical direction to programs of considerable scope and complexity, with nominal, broad oversight. GS-15: One year of specialized experience (equivalent to GS-14) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes providing operational and scientific expertise to explore basic research initiatives for a new generation; overseeing policy development, plans, and operations in critical research initiatives and advanced technologies for future precision capabilities on a continuing or project basis; identifying and recommending critical research initiatives and establishes goals toward future precision capabilities. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): * Knowledge of mathematics policies, theories, principles and concepts and familiarity with other scientific and engineering disciplines to carry out conventional scientific processes. * Knowledge of mathematics and related disciplines to design, develop and adapt scientific methods and techniques. * Knowledge of analytical techniques to develop, stimulate, and analyze data. * Ability to communicate effectively both orally and in writing. * Knowledge of computer operations and standard software applications. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For Direct Hire (DHA) Positions: This is a Direct Hire Public Notice, under this recruitment procedure applications will be accepted for each location/ installation identified in this Public Notice and selections are made for vacancies as they occur. There may or may not be actual/projected vacancies at the time you submit your application. Interagency Career Transition Assistance Program (ICTAP): For information on

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

At Gatekeeper Systems, we're revolutionizing retail loss prevention and customer safety through a powerful combination of physical deterrents and cutting-edge technology-including AI, computer vision, and facial recognition. As a global leader with over 25 years of industry excellence and a growing, diverse team of 500 employees across offices in North America, Europe, Australia, and Asia, we're driven by innovation, integrity, and impact. Join us and be part of a mission-focused team that's making a real difference in the future of retail, providing innovative solutions and services that redefine industry standards. POSITION SUMMARY: WHAT WE OFFER… Join the team at Gatekeeper Systems and watch your career grow! We offer competitive compensation and benefits packages that include: Attractive Total Compensation Package, including annual bonus Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options. 401(k) Plan with Employer Match Generous Paid Time Off (PTO) policy Observance of 11 paid company holidays Various Employee Engagement Events Exciting Growth Opportunities Positive Company Culture This role bridges the gap between core data engineering and practical machine learning applications. Primarily, you will be a data platform engineer responsible for owning core data pipelines, data models, and quality controls that power Gatekeeper analytics and future data products. Secondarily, you will drive the production lifecycle of our shopping cart computer-vision feature. You will orchestrate the data workflows that interface with our Machine Learned models to ensure accurate cart classification, while leveraging the FaceFirst ML team for deeper capacity. You will collaborate with BI Analysts, software engineers, and product teams to transform raw data into actionable insights. ESSENTIAL JOB FUNCTIONS; but not limited to: Data Platform, Pipelines, & Quality (Primary Focus) Pipeline Design & Operation: Design, build, and operate scalable ELT/ETL pipelines that ingest data from IoT/smart-cart telemetry, video events, operational systems, and external partners into our cloud data lake/warehouse. Infrastructure Management: Build and maintain robust data infrastructure, including databases (SQL and NoSQL), data warehouses, and data integration solutions. Data Modeling: Establish canonical data models and definitions (schemas, event taxonomy, metrics) so teams can trust and reuse the same data across products, BI, and analytics. Data Quality Assurance: Own data quality end-to-end by implementing validation rules, automated tests, anomaly detection, and monitoring/alerting to prevent and quickly detect regressions. Consistency & Governance: Drive data consistency improvements across systems (naming, identifiers, timestamps, joins, deduplication) and document data contract expectations with producing teams. Root Cause Analysis: Troubleshoot pipeline and data issues, perform root-cause analysis, and implement durable fixes that improve reliability and reduce operational load. Collaboration & Analytics: Partner with BI Analysts and Product teams to create curated datasets and self-serve analytics foundations (e.g., marts/semantic layer), as well as support internally facing dashboards to communicate system health. Applied ML Ownership - Smart Exit Cart-Empty Classifier (Secondary Focus) Lifecycle Management: Own the production lifecycle for the cart classification capability, including data collection/labeling workflows, evaluation, threshold tuning, and safe release/rollback processes. Pipeline Implementation: Implement and optimize machine learning pipelines, from feature engineering and model training to deployment and monitoring in production. Evaluation & Monitoring: Build and maintain an evaluation harness (offline metrics + repeatable test sets) and ongoing monitoring (accuracy drift, data drift, false positive/negative analysis). Cross-Team Collaboration: Collaborate with the FaceFirst ML team to incorporate improvements (model updates, feature changes) while keeping Gatekeeper's production integration stable. Integration: Work with software engineers to ensure the classifier integrates cleanly into the product workflow with robust telemetry, logging, and operational runbooks. QUALIFICATION REQUIREMENTS The requirements listed below are representative of the knowledge, skill and/or ability required. Exemplifies professionalism in all aspects of day-to-day duties and responsibilities. Self-aware and open to learning about personal effectiveness in the workplace. Exhibits a positive attitude toward the vision, policies, and goals of Gatekeeper Systems. Constantly strives to improve performance and effectiveness of the team and the company. EDUCATION AND/OR EXPERIENCE Work Experience: 5+ years Core Engineering: Strong experience building and operating production ELT/ETL pipelines and data warehouses. Programming: Fluency in SQL and Python (or similar) for data transformation, validation, and automation. Cloud Platforms: Experience with cloud data platforms (Azure and/or GCP), including object storage, security/access controls, and cost-aware design. Tooling: Hands-on experience with orchestration and transformation tooling (e.g., Airflow/Prefect) and batch processing frameworks (e.g., Spark/Databricks). Quality Practices: Practical experience implementing data quality practices (tests, monitoring/alerting, lineage/documentation) and improving data consistency across systems. Operations: Collaborate with operational teams to identify, diagnose, and remediate in-field system issues. Bachelor's Degree in Computer Science, Software Engineering, Information Systems, Mathematics, Statistics, or a related technical field. SALARY RANGE $150,000 to $175,000; 5% AIP PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Repetitive motions and routine use of standard office equipment such as computers, telephones, copiers/scanners and filing cabinets. Ability to see, speak, walk, hear, stand, use of hand/fingers to handle or feel; climb stairs, stoop, carry/lifting up to 50 lbs. Ability to sit at a desk. Specific vision abilities required include close vision, color vision, peripheral visions, depth perception and the ability to adjust focus. Regularly utilizes manual dexterity to put parts or pieces together quickly and accurately. DISCLAIMER This Job Description is a general overview of the requirements for the position. It is not designed to contain, nor should it be interpreted as being all inclusive of every task which may be assigned or required. It is subject to change, in alignment with company/department needs and priorities. Gatekeeper Systems, Inc., is an equal opportunity employer. We are committed to developing a diverse workforce and cultivating an inclusive environment. We value diversity and believe that we are strengthened by the differences in our experiences, thinking, culture, and background. We strongly encourage applications from candidates who demonstrate that they can contribute to this goal. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any protected basis.

ABOUT US: Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world's top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people's lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology. Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. KEY RESPONSIBILITIES Develop and maintain the Big Data Platform by performing data cleansing, data warehouse modeling, and report development on large datasets. Collaborate with cross-functional teams to provide actionable insights for decision-making. Manage the operation and administration of the Big Data Platform, including system deployment, task scheduling, proactive monitoring, and alerting to ensure stability and security. Handle data collection and integration tasks, including ETL development, data de-identification, and managing data security. Provide support for other departments by processing data, writing queries, developing solutions, performing statistical analysis, and generating reports. Troubleshoot and resolve critical issues, conduct fault diagnosis, and optimize system performance. Requirements REQUIRED QUALIFICATIONS Bachelor's degree or higher in Computer Science or a related field, with at least three years of experience maintaining a Big Data platform. Strong understanding of Big Data technologies such as Hadoop, Flink, Spark, Hive, HBase, and Airflow, with proven expertise in Big Data development and performance optimization. Familiarity with Big Data OLAP tools like Kylin, Impala, and ClickHouse, as well as experience in data warehouse design, data modeling, and report generation. Proficiency in Linux development environments and Python programming. Excellent communication, collaboration, and teamwork skills, with a proactive attitude and a strong sense of responsibility. PREFERRED QUALIFICAITONS Experience with cloud-based deployments, particularly AWS EMR, with familiarity in other cloud platforms being a plus. Proficiency in additional languages such as Java or Scala is a plus. Benefits Salary Range: $150,000 - $180,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

This job is onsite, based in Irvine CA. Essential Duties and Responsibilities Develop and maintain SQL Server and Snowflake Data Warehouses and Data Lakes with a focus on data governance, security, and performance optimization. Manage and optimize database solutions within Snowflake, SQL Server, MySQL, and AWS RDS environments. Build and optimize ETL pipeline processes using Snowpipe, DBT, Boomi, SSIS and/or Azure Data Factory. Proficiency in Data Tools such as SSMS, Profiler, Query Store, Redgate, etc. Perform light operational tasks, including database backup & restore. Collaborate and support organizational data development projects, working closely with the Business Intelligence and Business Analysts Teams. Help ensure and maintain database security, integrity, and compliance following the industry's best practices. Configure and manage data integration platforms and business intelligence tools, ideally including Power BI, Tableau, Power Automate, and scripting languages like Python or R. Qualifications 7+ years of hands-on experience working as Microsoft SQL Server Developer or Administrator, with hands-on experience developing relational and object-oriented databases. 2+ years of hands-on experience working with Snowflake data warehouses and data lake environments. Proven mastery of Microsoft SQL Server, including t-SQL. Hands-on experience developing databases, pipelines, and reporting solutions using BI Reporting & ETL tools such as Power BI, SSRS, SSIS, Azure Data Factory, DBT and other similar industry tool sets. Proficiency with scripting and automation, including Python, PowerShell; or R. Experience with, and knowledge of, data integration and analytic tools such as Boomi, Redshift, or Databricks is desirable. Excellent communication and organizational skills. Education and/or Experience Bachelor or Master's Degree in Computer Science, Information Systems, Data Sciences, or equivalent experience. Language Skills Ability to read and comprehend simple instructions, short correspondence, and memos. Ability to write simple correspondence. Ability to effectively present information in one-on-one and small group situations to customers, clients, and other employees of the organization. Mathematical Skills Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percentage and to draw and interpret bar graphs. Reasoning Ability Ability to apply common sense understanding to carry out detailed instructions. Ability to deal with problems involving a few concrete variables in standardized situations. Computer Skills Advanced knowledge of Microsoft Office applications (Word, Excel, Outlook, etc). Physical Demands 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 accommodation 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 use hands to finger, handle, or feel; reach with hands and arms and talk or hear. Employees are frequently required to walk and sit. The employee is occasionally required to stand. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Always practice good judgment and refer to the safety guidelines. 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. Always practice good judgment and refer to the safety guidelines. The noise level in the work environment is usually moderate Salary: $125K-$135k Benefits Our benefit offerings include: Medical, dental, vision, wellness programs, EAP counseling services, FSA & HSA, company sponsored life insurance for employee, voluntary life insurance for employee, spouse and child, AD&D Insurance, voluntary short-term and long-term disability, critical illness insurance, accident insurance, legal assistance, pet insurance, living will and trust preparation discounts, commuter program, annual walking challenge, employee appreciation events and monthly sales awards. At Acra Lending, we were founded with a clear purpose: to specialize in alternative income loan products that help borrowers qualify for our flexible loan programs. We operate in 39 States, out of nine offices in Arizona, California, Florida, Georgia, Hawaii, Missouri, Nevada, Texas, and Utah along with a growing team of remote professionals across the country. Throughout the mortgage industry, Acra Lending is widely known for responsible lending practices, product innovation and operational efficiency. The foundation of our Company is built on helping our customers by providing Non-QM mortgage solutions for today's borrower in residential and commercial properties across America. Our Leadership team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We reward our employees with a competitive salary and a variety of benefits to help our team members reach their health, retirement, and professional goals along with an exceptional 401k match program. We look forward to meeting you!

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Role description The Data Engineering Team fuels real-time, intelligent data insights for PlayStation's Cloud Streaming offering. In this role, you'll collaborate closely with teams across PlayStation to deliver a scalable and reliable data platform that drives a data-first culture and outlook. As a Data Engineer II, you will develop and maintain server-side applications for shaping, managing, and transforming data on a large geographically distributed infrastructure for PlayStation. Your work will include developing JVM based applications using Kotlin, Scala, or Java, Flink jobs, and APIs to provide real time data and insights across the Cloud Streaming ecosystem to ensure seamless data flow throughout our data pipeline. You bring passion and expertise to continuously improve the value that our data platform provides to data producers and consumers across the organization, providing tooling, standard methodologies, and state-of-the art technology to empower data-driven decisions to the company. You are self-motivated and thrive in a distributed team environment - comfortable taking initiative, handling your own work, and collaborating effectively across time zones and communication channels, embodying our one team mantra! Responsibilities Design and implement middleware and backend systems capable of handling high throughput and load Develop and maintain stream processing jobs using Flink (stateful / stateless), and implement scalable ETL jobs that enable our partners and customers to glean intelligent insight Optimize performance, reliability, and monitoring of the data pipeline stack Support migration efforts of our on-premises Kafka to new cloud technologies Perform in-depth analysis of functional or business requirements Contribute to architectural decisions for PlayStation's cloud streaming data pipeline Liaise with product domain teams to help turn data into information, and information into business value Required Qualifications Bachelor's or Master's degree in Computer Science or a related field or equivalent practical experience 3+ years of experience in software development and backend engineering developing and maintaining high throughput and concurrent systems with high availability and fault tolerance Proficient in JVM Languages (Kotlin, Scala, Java) and Python Experience with Apache Kafka, Flink, Spark, and SQL Knowledge of software paradigms like functional programming, object oriented programming, TDD Knowledge of web technologies including REST, JSON, gRPC, and WebSockets Expertise on data structures (JSON, Avro, Protobuf) as well as unstructured and semi-structured data Experience with ETL, stream processing, real-time pipelines, and batch processing Familiarity with software development tools and processes like Git and CI/CD Track record monitoring and analyzing system performance, isolating issues or bottlenecks that could impact reliability, performance and scalability Self-motivated, strong interpersonal and communication skills; ability to work with geographically remote teams Experience with Amazon Web Services at enterprise scale including, but not limited to, OpenSearch, MSK, and EKS is a plus Experience with Kubernetes, Docker, and cloud deployment technologies is a plus #LI-RG1 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below.$150,100-$225,100 USD Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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

About Us Veros Credit is committed to making vehicle ownership possible for everyone. Through our vast network of independent and franchise dealers, we have helped countless customers with their financing needs, allowing them to drive off in the vehicle they deserve. We realize that our greatest assets are our employees, which is why we strive to make work welcoming and fun but offer limitless opportunities for growth and advancement. At Veros Credit, you can look forward to company events, free meals quarterly, holiday activities, and more. You will be greeted by friendly, positive, and ambitious team members, and work alongside leaders who encourage and value your new ideas. We are proud to say that it is this sense of community that makes us excited to walk through the door every day. Some of our benefit offerings include: Medical, Dental, and Vision Insurance Life Insurance Flexible Spending Accounts (FSA) Accident, Hospital, Indemnity Insurance Short Term Disability (STD) and Long-Term Disability (LTD) Insurance Employee Assistance Program (EAP) 401(k) Plan Employee Stock Ownership Plan (ESOP) Tuition Reimbursement Paid Holidays Paid Time Off (PTO) Transportation Reimbursement Benefit (Mass Transit, Carpool, and Plug-In Electric Vehicle) Referral Bonus Quarterly lunches Daily fresh fruit Office Starbucks Coffee/Latte/Espresso Machine And a lot more! About The Position The Data Scientist will be part of a team responsible for creating ML solutions and analysis to help mitigate portfolio risk. You will perform and implement the results of analysis into our decisioning API. The ideal candidate will have 1 to 3 years of experience in the financial services sector, with hands on demonstrable experience in machine learning and working in cloud environments. Essential Responsibilities: Perform advanced data and statistical analysis in support of the creation and maintenance of performance scorecards. Support the Credit Risk Management team in data analysis and model construction. 1+ years of experience with designing, building, and deploying scalable, highly available, and fault tolerant systems in a cloud environment. Manage, maintain, and improve our decisioning application on AWS Develop and integrate model strategy to support business initiatives and risk-based pricing. Perform data manipulation and analysis using SQL, R or Python and Microsoft Excel. Develop Machine Learning models in areas such as segmentation analysis, logistic regression, decision trees and other advanced algorithms. Incorporate observations and data into existing models to improve predictive results. Identify deviations from forecast/expectations and explain variances. Contribute to loss forecasts, demographic and credit limit utilization analysis. Prepare exhibits and supporting materials. Develop recommendations for credit policy. Track portfolio performance and risk strategy results. Identify opportunities to leverage statistical solutions to solve business problems. Other duties as assigned. Essential Requirements: Familiarity with Python machine learning frameworks and tools. Experience in Consumer Lending a plus (Auto Finance, Mortgage, Credit Cards, Personal Lending, etc.) Strong SQL skills for data extraction and analysis Proficiency with Microsoft Excel Exposure to software development methodologies like using GIT and understanding of how APIs work. Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions. Strong communication and problem-solving skills with the ability to interact with others in a professional, tactful, and sensitive manner. Demonstrated ability to communicate technical concepts to a non-technical audience. Demonstrated ability to manipulate and analyze data across large databases. Detail oriented and organized with a strong work ethic and team focus. Ability to work in a fast-paced environment, both independently and as part of a team with the ability to work under tight deadlines and manage more than one assignment at a time. Advanced Degree in Mathematics, Statistics, Computer Science, Quantitative Analysis or equivalent work experience. Knowledge of A/B testing and other experimental design methodologies. Salary: $95,000.00 - $115,000.00 annually + Bonus **In-office position based at our Corporate Office in Santa Ana, CA. Candidates must reside within 20 miles of this location.** We do not offer employment sponsorship. Veros Credit, LLC is an equal opportunity employer. **This Organization Participates in E-Verify

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.

Data Engineer External Description: Data Engineer Alignment Healthcare was founded with a mission to revolutionize health care with a serving heart culture. Through its unique integrated care delivery models, deep physician partnerships and use of proprietary technologies, Alignment is committed to transforming health care one person at a time. By becoming a part of the Alignment Healthcare team, you will provide members with the quality of care they truly need and deserve. We believe that great work comes from people who are inspired to be their best. 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 community. Position Summary: 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 experiencing rapid growth (backed by top private equity firms), our Data Services and BI team is looking for the best and brightest leaders. Data drives the way we make decisions. We love our customers and understanding them better makes it possible to provide the best clinical outcome and care experience. This position will play a key role in building and operating a cloud-based data platform and its pipelines using big data technologies. As a Data Engineer, you will develop a new data engineering platform that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the SQL data warehouse platform as our primary processing platform to create the curated enterprise data model for the company to leverage. You will be part of a team building the next generation data platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in cloud data platform and other solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making. General Duties/Responsibilities: (May include but are not limited to) Interfacing with business customers, gathering requirements and developing new datasets in data platform Building and migrating the complex ETL/EDI pipelines from on premise system to cloud and Hadoop/Spark to make the system grow elastically Identifying the data quality issues to address them immediately to provide great user experience Extracting and combining data from various heterogeneous data sources Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets Modelling data and metadata to support machine learning and AI 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: 3+ years relevant experience in cloud based data engineering. Demonstrated ability in data modeling, ETL development, EDI Development and data warehousing. Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch etc.) Experience in using Python, .net, Java and/or other data engineering languages Knowledge and experience of SQL Server and SSIS. Experience with X12(837,834,278) and HL7 transactions Education/Licensure: Bachelors or Masters in Computer Science, Engineering, Mathematics, Statistics, or related field Other: Excellent communication, analytical and collaborative problem-solving skills Requires Spark and Scala Building and migrating the complex ETL/EDI pipelines from on premise system to cloud and Hadoop/Spark to make the system grow elastically Preferred Healthcare domain and data experience Healthcare EDI experience is a plus API development experience is a plus Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Experience building data products incrementally and integrating and managing datasets from multiple sources Experience leading large-scale data warehousing and analytics projects, including using Azure or AWS technologies - SQL Server, Redshift, S3, EC2, Data-pipeline, Data Lake, Data Factory and other big data technologies Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space Linux/UNIX including to process large data sets. Experience with Azure, AWS or GCP is a plus Microsoft Azure Certification is a plus Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Problem solving skills and Ability to meet deadlines are a must Microsoft Azure Certification is a plus Python and Java are a plus, Experience with X12(837,834,278) and HL7 transactions preferred 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. City: Orange State: California Location City: Orange Schedule: Full Time Location State: California Community / Marketing Title: Data Engineer Company Profile: Alignment Healthcare was founded with a mission to revolutionize health care with a serving heart culture. Through its unique integrated care delivery models, deep physician partnerships and use of proprietary technologies, Alignment is committed to transforming health care one person at a time. By becoming a part of the Alignment Healthcare team, you will provide members with the quality of care they truly need and deserve. We believe that great work comes from people who are inspired to be their best. 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 community. EEO Employer Verbiage: On August 17, 2021, Alignment implemented a policy requiring all new hires to receive the COVID-19 vaccine. Proof of vaccination will be required as a condition of employment subject to applicable laws concerning exemptions/accommodations. This policy is part of Alignment's ongoing efforts to ensure the safety and well-being of our staff and community, and to support public health efforts. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************.

At Gatekeeper Systems, we're revolutionizing retail loss prevention and customer safety through a powerful combination of physical deterrents and cutting-edge technology-including AI, computer vision, and facial recognition. As a global leader with over 25 years of industry excellence and a growing, diverse team of 500 employees across offices in North America, Europe, Australia, and Asia, we're driven by innovation, integrity, and impact. Join us and be part of a mission-focused team that's making a real difference in the future of retail, providing innovative solutions and services that redefine industry standards. POSITION SUMMARY: WHAT WE OFFER… Join the team at Gatekeeper Systems and watch your career grow! We offer competitive compensation and benefits packages that include: Attractive Total Compensation Package, including annual bonus Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options. 401(k) Plan with Employer Match Generous Paid Time Off (PTO) policy Observance of 11 paid company holidays Various Employee Engagement Events Exciting Growth Opportunities Positive Company Culture This role bridges the gap between core data engineering and practical machine learning applications. Primarily, you will be a data platform engineer responsible for owning core data pipelines, data models, and quality controls that power Gatekeeper analytics and future data products. Secondarily, you will drive the production lifecycle of our shopping cart computer-vision feature. You will orchestrate the data workflows that interface with our Machine Learned models to ensure accurate cart classification, while leveraging the FaceFirst ML team for deeper capacity. You will collaborate with BI Analysts, software engineers, and product teams to transform raw data into actionable insights. ESSENTIAL JOB FUNCTIONS; but not limited to: Data Platform, Pipelines, & Quality (Primary Focus) Pipeline Design & Operation: Design, build, and operate scalable ELT/ETL pipelines that ingest data from IoT/smart-cart telemetry, video events, operational systems, and external partners into our cloud data lake/warehouse. Infrastructure Management: Build and maintain robust data infrastructure, including databases (SQL and NoSQL), data warehouses, and data integration solutions. Data Modeling: Establish canonical data models and definitions (schemas, event taxonomy, metrics) so teams can trust and reuse the same data across products, BI, and analytics. Data Quality Assurance: Own data quality end-to-end by implementing validation rules, automated tests, anomaly detection, and monitoring/alerting to prevent and quickly detect regressions. Consistency & Governance: Drive data consistency improvements across systems (naming, identifiers, timestamps, joins, deduplication) and document data contract expectations with producing teams. Root Cause Analysis: Troubleshoot pipeline and data issues, perform root-cause analysis, and implement durable fixes that improve reliability and reduce operational load. Collaboration & Analytics: Partner with BI Analysts and Product teams to create curated datasets and self-serve analytics foundations (e.g., marts/semantic layer), as well as support internally facing dashboards to communicate system health. Applied ML Ownership - Smart Exit Cart-Empty Classifier (Secondary Focus) Lifecycle Management: Own the production lifecycle for the cart classification capability, including data collection/labeling workflows, evaluation, threshold tuning, and safe release/rollback processes. Pipeline Implementation: Implement and optimize machine learning pipelines, from feature engineering and model training to deployment and monitoring in production. Evaluation & Monitoring: Build and maintain an evaluation harness (offline metrics + repeatable test sets) and ongoing monitoring (accuracy drift, data drift, false positive/negative analysis). Cross-Team Collaboration: Collaborate with the FaceFirst ML team to incorporate improvements (model updates, feature changes) while keeping Gatekeeper's production integration stable. Integration: Work with software engineers to ensure the classifier integrates cleanly into the product workflow with robust telemetry, logging, and operational runbooks. QUALIFICATION REQUIREMENTS The requirements listed below are representative of the knowledge, skill and/or ability required. Exemplifies professionalism in all aspects of day-to-day duties and responsibilities. Self-aware and open to learning about personal effectiveness in the workplace. Exhibits a positive attitude toward the vision, policies, and goals of Gatekeeper Systems. Constantly strives to improve performance and effectiveness of the team and the company. EDUCATION AND/OR EXPERIENCE Work Experience: 5+ years Core Engineering: Strong experience building and operating production ELT/ETL pipelines and data warehouses. Programming: Fluency in SQL and Python (or similar) for data transformation, validation, and automation. Cloud Platforms: Experience with cloud data platforms (Azure and/or GCP), including object storage, security/access controls, and cost-aware design. Tooling: Hands-on experience with orchestration and transformation tooling (e.g., Airflow/Prefect) and batch processing frameworks (e.g., Spark/Databricks). Quality Practices: Practical experience implementing data quality practices (tests, monitoring/alerting, lineage/documentation) and improving data consistency across systems. Operations: Collaborate with operational teams to identify, diagnose, and remediate in-field system issues. Bachelor's Degree in Computer Science, Software Engineering, Information Systems, Mathematics, Statistics, or a related technical field. SALARY RANGE $150,000 to $175,000; 5% AIP PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Repetitive motions and routine use of standard office equipment such as computers, telephones, copiers/scanners and filing cabinets. Ability to see, speak, walk, hear, stand, use of hand/fingers to handle or feel; climb stairs, stoop, carry/lifting up to 50 lbs. Ability to sit at a desk. Specific vision abilities required include close vision, color vision, peripheral visions, depth perception and the ability to adjust focus. Regularly utilizes manual dexterity to put parts or pieces together quickly and accurately. DISCLAIMER This Job Description is a general overview of the requirements for the position. It is not designed to contain, nor should it be interpreted as being all inclusive of every task which may be assigned or required. It is subject to change, in alignment with company/department needs and priorities. Gatekeeper Systems, Inc., is an equal opportunity employer. We are committed to developing a diverse workforce and cultivating an inclusive environment. We value diversity and believe that we are strengthened by the differences in our experiences, thinking, culture, and background. We strongly encourage applications from candidates who demonstrate that they can contribute to this goal. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any protected basis.