Senior data scientist jobs in Downey, CA

The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. 5+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. 3+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. 3+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). 2+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. 2+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). 2+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. 2+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. 1+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education: This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience.

Meet REVOLVE: REVOLVE is the next-generation fashion retailer for Millennial and Generation Z consumers. As a trusted, premium lifestyle brand, and a go-to online source for discovery and inspiration, we deliver an engaging customer experience from a vast yet curated offering totaling over 45,000 apparel, footwear, accessories and beauty styles. Our dynamic platform connects a deeply engaged community of millions of consumers, thousands of global fashion influencers, and more than 500 emerging, established and owned brands. Through 16 years of continued investment in technology, data analytics, and innovative marketing and merchandising strategies, we have built a powerful platform and brand that we believe is connecting with the next generation of consumers and is redefining fashion retail for the 21st century. For more information please visit **************** At REVOLVE the most successful team members have a thirst and the creativity to make this the top e-commerce brand in the world. With a team of 1,000+ based out of Cerritos, California we are a dynamic bunch that are motivated by getting the company to the next level. It's our goal to hire high-energy, diverse, bright, creative, and flexible individuals who thrive in a fast-paced work environment. In return, we promise to keep REVOLVE a company where inspired people will always thrive. To take a behind the scenes look at the REVOLVE “corporate” lifestyle check out our Instagram @REVOLVEcareers or #lifeatrevolve. Are you ready to set the standard for Premium apparel? Main purpose of the Senior Data Science Analyst role: Use a diverse skill sets across math and computer science, dedicated to solving complex and analytically challenging problems here at Revolve. Major Responsibilities: Essential Duties and Responsibilities include the following. Other duties may be assigned. Partner closely with business leaders in Marketing, Product, Operations, Buying team to plan out valuable data science projects Conduct complex analysis and build models to uncover key learning form data, leading to appropriate strategy recommendations. Work closely with the DBA to improve BI's infrastructure, architect the reporting system, and invest in time for technical proof of concept. Work closely with the business intelligence and tech team to define, automate and validate the extraction of new metrics from various data sources for use in future analysis Work alongside business stakeholders to apply our findings and models in website personalization, product recommendations, marketing optimization, to fraud detection, demand forecast, CLV prediction. Required Competencies: To perform the job successfully, an individual should demonstrate the following competencies: Outstanding analytical skills, with strong academic background in statistics, math, science or technology. High comfort level with programming, ability to learn and adopt new technology with short turn-around time. Knowledge of quantitative methods in statistics and machine learning Intense intellectual curiosity - strong desire to always be learning Proven business acumen and results oriented. Ability to demonstrate logical thinking and problem solving skills Strong attention to detail Minimum Qualifications: Master Degree is required 3+ years of DS and ML experience in a strong analytical environment. Proficient in Python, NumPy and other packages Familiar with statistical and ML methodology: causal inference, logistic regression, tree-based models, clustering, model validation and interpretations. Experience with AB Testing and pseudo-A/B test setup and evaluations Advanced SQL experience, query optimization, data extract Ability to build, validate, and productionize models Preferred Qualifications: Strong business acumen Experience in deploying end to end Machine Learning models 5+ years of DS and ML experience preferred Advanced SQL and Python, with query and coding optimization experience Experience with E-commerce marketing and product analytics is a plus A successful candidate works well in a dynamic environment with minimal supervision. At REVOLVE we all roll up our sleeves to pitch-in and do whatever it takes to get the job done. Each day is a little different, it's what keeps us on our toes and excited to come to work every day. A reasonable estimate of the current base salary range is $120,000 to $150,000 per year.

Axtria is a leading global provider of cloud software and data analytics tailored for the Life Sciences industry. Since our inception in 2010, we have pioneered technology-driven solutions to revolutionize the commercialization journey, driving sales growth, and enhancing patient healthcare outcomes. Committed to impacting millions of lives positively, our innovative platforms deploy cutting-edge Artificial Intelligence and Machine Learning technologies. With a presence in over 30 countries, Axtria is a key player in delivering commercial solutions to the Life Sciences sector, consistently recognized for our growth and technological advancements. Job Description: We are looking for a Project Lead for our Decision Science practice. Success in this position requires managing consulting projects/engagements delivering Brand Analytics, Real World Data (RWD) Analytics, Commercial Analytics, Marketing Analytics, and Market Access Analytics solutions. Candidates will be expected to have familiarity with: Patient analytics using Real World Data (RWD) sources such as Claims data, EHR/EMR data, lab/diagnostic testing data, etc. Predictive modeling using Real World Data Patient and HCP segmentation Campaign effectiveness, promotion response modeling, marketing mix optimization Marketing analytics incl. digital marketing Required skills and experience: Overall, 4-8 years of relevant work experience and 2+ years of US local experience in pharma analytics Knowledge of the Biopharmaceutical domain. Prior experience in analytics in therapeutic areas of Oncology, Inflammation, Cardio and Bone will be preferred Exposure to syndicated data sets including Claims, EMR/EHR data and exposure to/experience working with large data sets. Strong quantitative and analytical skills, including sound knowledge of statistical concepts and predictive modeling/machine learning. Demonstrated ability to frame and scope business problems, design solutions, and deliver results. Excellent spoken and written communication skills, including superior visualization, storyboarding, and presentation skills. Ability to communicate actionable analytical findings to a technical or non-technical audience in clear and concise language. Relevant expertise in using analytical tools such as R/Python, Alteryx, Dataiku etc. and ability to quickly master new analytics tools/software as needed. Ability to lead project teams and own project delivery. Logistics and Location: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. The position is based out of Thousand Oaks and the candidate needs to be at the client site 3-5 days per week Axtria is an EEO/AA employer M/F/D/V. We offer attractive performance-based compensation packages including salary and bonus. Comprehensive benefits are available including health insurance, flexible spending accounts, and 401k with company match. Immigration sponsorship will be considered. Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $83,200 to $129,738 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. The salary range reflected is based on a primary work location of Thousand Oaks, CA. The actual salary may vary for applicants in a different geographic location.

City: Calabasas, CA/ Las Vegas, NV Onsite/ Hybrid/ Remote: Onsite 4 days a week Duration: 6 months Contract to Hire Rate Range: $85/hr W2 Work Authorization: GC, USC Only Must Have: Databricks Python Azure API development ETL pipelines DevOps and CI/CD Responsibilities: Design and build scalable batch and real-time data pipelines. Develop data ingestion, processing, and analytical workflows. Build data products and intelligent APIs. Ensure data quality, reliability, and performance. Collaborate with cross-functional teams to translate business needs into data solutions. Support cloud-based data architecture for BI and AI/ML use cases. Participate in code reviews and CI/CD practices. Qualifications: Bachelor's degree in a related technical field required. 8+ years of data engineering experience. Strong experience with Databricks, Spark, and cloud platforms. Proficiency in Python and SQL. Hands-on experience with Azure data services. Experience with REST APIs and DevOps practices. Agile development experience.

JSG is seeking a Senior Data Solutions Architect for a client in Woodland Hills, CA. This position is remote, and our client is looking for local candidates based in Southern California.The Senior Data Solutions Engineer will design, scale, and optimize the company's enterprise data platform. This role will build and maintain cloud-native data pipelines, lakehouse/warehouse architectures, and multi-system integrations that support Finance, CRM, Operations, Marketing, and guest experience analytics. The engineer will focus on building secure, scalable, and cost-efficient systems while applying modern DevOps, ETL, and cloud engineering practices requiring a strong technologist with hands-on expertise across data pipelines, orchestration, governance, and cloud infrastructure. Key Responsibilities Design, build, and maintain ELT/ETL pipelines across Snowflake, Databricks, Microsoft Fabric Gen 2, Azure Synapse Analytics, and legacy SQL/Oracle platforms. Implement medallion/lakehouse architecture, CDC pipelines, and streaming ingestion frameworks. Leverage Python (90%) and SQL (10%) for data processing, orchestration, and automation. Manage AWS and Azure multi-account environments, enforcing MFA, IAM policies, and governance. Build serverless architectures (AWS Lambda, Azure Functions, EventBridge, SQS, Step Functions) for event-driven data flows. Integrate infrastructure with CI/CD pipelines (GitHub Actions, Azure DevOps, MWAA/Airflow, dbt) for automated testing and deployments. Deploy infrastructure as code using Terraform and Azure DevOps for reproducible, version-controlled environments. Implement observability and monitoring frameworks (Datadog, Prometheus, Grafana, Kibana, Azure Monitor) to ensure system reliability, performance, and cost efficiency. Collaborate with stakeholders to deliver secure, scalable, and cost-efficient data solutions. Background in Finance a or Consumer facing industries is preferred Salary: $160K-$175K JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.

Robert Half is partnering with a well known brand seeking an experienced Data Engineer with Databricks experience. Working alongside data scientists and software developers, you'll work will directly impact dynamic pricing strategies by ensuring the availability, accuracy, and scalability of data systems. This position is full time with full benefits and 3 days onsite in the Woodland Hills, CA area. Responsibilities: Design, build, and maintain scalable data pipelines for dynamic pricing models. Collaborate with data scientists to prepare data for model training, validation, and deployment. Develop and optimize ETL processes to ensure data quality and reliability. Monitor and troubleshoot data workflows for continuous integration and performance. Partner with software engineers to embed data solutions into product architecture. Ensure compliance with data governance, privacy, and security standards. Translate stakeholder requirements into technical specifications. Document processes and contribute to data engineering best practices. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 4+ years of experience in data engineering, data warehousing, and big data technologies. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Must have experience in Databricks. Experience working within Azure or AWS or GCP environment. Familiarity with big data tools like Spark, Hadoop, or Databricks. Experience in real-time data pipeline tools. Experienced with Python

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

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

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

XP3R is a fast-growing data and technology consulting firm that helps organizations unlock the power of data, analytics, AI, and technology to make smarter & faster decisions. We partner with clients to turn complex data into actionable insights that drive better decisions and measurable results, and encapsulate data & insights into custom-tooling for interactivity and visibility. What makes us different is how we work; we combine structure with curiosity, and strategy with execution. We move fast and focus on value-adding outcomes, and we don't back down from any challenge. Our team is made up of builders, problem-solvers, and lifelong learners who love the challenge of transforming ambiguity into clarity. At XP3R, you'll have the freedom to experiment, the support to grow, and the opportunity to make an impact that's visible from day one. We're a small, ambitious team, and every hire has a direct impact on how we grow. The Role We are looking for a Senior Data Analyst + Engineer who thrives at the intersection of business strategy and technical execution. This is not a “back-office dashboard role”, you'll be engaging directly with clients, advising on business strategy, and then building the technical solutions that bring it to life. This role requires a deep fundamental understanding of data, data modeling, and data architecture. You will be expected to design & build with Microsoft Fabric and Power BI and to both consult and deliver. You'll lead the full lifecycle: data sourcing, modeling, pipelines, dashboards, and business alignment. What You'll Do Partner with clients to understand business needs and translate them into technical solutions. Design and implement data models by combining data + business knowledge that align with client requirements and scale effectively. Lead data sourcing and requirements gathering, including working with APIs, exploratory analysis, and integrating disparate data systems. Build and maintain Fabric ETL pipelines (Dataflow Gen2, PySpark notebooks, data pipelines). Develop and optimize Power BI dashboards, including advanced DAX, calculation groups, and data visualization best practices. Create dashboard mockups and prototypes to guide client conversations before implementation. Design & stand up systems to enforce data validations and QA/QC in Microsoft Fabric. Collaborate with leadership to define solution architecture - and ideally, take the lead on designing architecture yourself. Serve as a trusted advisor to clients, bridging technical expertise with business insights. Mentor junior team members and raise the standard of technical excellence across XP3R. What We're Looking For At XP3R, we look for people who blend technical mastery with strategic insight. You're someone who can move seamlessly between data modeling and client conversations, transforming complex challenges into clear, scalable solutions. We value leaders who stay curious, think critically, and take ownership of outcomes from concept to delivery. The right person will combine technical depth with business presence: Technically Excellent - You are rooted in the technical, and have a knack for being able to figure things out to drive implementation and delivery of work product. You're experience allows you to build high quality product fast; exposure to SQL, Python, R, Power BI, or similar tools is required. Owns the Work - You take initiative, explore solutions, and learn new tools without waiting for direction. You take ownership of work & hold yourself accountable for delivery. Entrepreneurial by Nature - You're motivated by challenge and want to help build something meaningful, not just maintain it. Quick to Learn - You adapt fast, connect ideas quickly, and enjoy turning new knowledge into action. You excel at switching between different contexts & tasks and pick up skills as you go. Collaborative & Reliable - You elevate the people around you through communication, structure, and a sense of shared purpose Salary Range: $100,000 - $220,000 (DOE)

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

CGS Business Solutions is committed to helping you, as an esteemed IT Professional, find the next right step in your career. We match professionals like you to rewarding consulting or full-time opportunities in your area of expertise. We are currently seeking Technical Professionals who are searching for challenging and rewarding jobs for the following opportunity: Summary CGS is hiring for a Senior Data Engineer to serve as a core member of the Platform team. This is a high-impact role responsible for advancing our foundational data infrastructure. Your primary mission will be to build key components of our Policy Journal - the central source of truth for all policy, commission, and client accounting data. You'll work closely with the Lead Data Engineer and business stakeholders to translate complex requirements into scalable data models and reliable pipelines that power analytics and operational decision-making for agents, managers, and leadership. This role blends greenfield engineering, strategic modernization, and a strong focus on delivering trusted, high-quality data products. Overview • Build the Policy Journal - Design and implement the master data architecture unifying policy, commission, and accounting data from sources like IVANS and Applied EPIC to create the platform's “gold record.” • Ensure Data Reliability - Define and implement data quality checks, monitoring, and alerting to guarantee accuracy, consistency, and timeliness across pipelines - while contributing to best practices in governance. • Build the Analytics Foundation - Enhance and scale our analytics stack (Snowflake, dbt, Airflow), transforming raw data into clean, performant dimensional models for BI and operational insights. • Modernize Legacy ETL - Refactor our existing Java + SQL (PostgreSQL) ETL system - diagnose duplication and performance issues, rewrite critical components in Python, and migrate orchestration to Airflow. • Implement Data Quality Frameworks - Develop automated testing and validation frameworks aligned with our QA strategy to ensure accuracy, completeness, and integrity across pipelines. • Collaborate on Architecture & Design - Partner with product and business stakeholders to deeply understand requirements and design scalable, maintainable data solutions. Ideal Experience • 5+ years of experience building and operating production-grade data pipelines. • Expert-level proficiency in Python and SQL. • Hands-on experience with the modern data stack - Snowflake/Redshift, Airflow, dbt, etc. • Strong understanding of AWS data services (S3, Glue, Lambda, RDS). • Experience working with insurance or insurtech data (policies, commissions, claims, etc.). • Proven ability to design robust data models (e.g., dimensional modeling) for analytics. • Pragmatic problem-solver capable of analyzing and refactoring complex legacy systems (ability to read Java/Hibernate is a strong plus - but no new Java coding required). • Excellent communicator comfortable working with both technical and non-technical stakeholders. Huge Plus! • Direct experience with Agency Management Systems (Applied EPIC, Nowcerts, EZLynx, etc.) • Familiarity with carrier data formats (Accord XML, IVANS AL3) • Experience with BI tools (Tableau, Looker, Power BI) About CGS Business Solutions: CGS specializes in IT business solutions, staffing and consulting services. With a strong focus in IT Applications, Network Infrastructure, Information Security, and Engineering. CGS is an INC 5000 company and is honored to be selected as one of the Best IT Recruitment Firms in California. After five consecutive Fastest Growing Company titles, CGS continues to break into new markets across the USA. Companies are counting on CGS to attract and help retain these resource pools in order to gain a competitive advantage the rapidly changing business environments.

We are seeking a skilled Data Engineer with strong experience in business intelligence (BI) and data warehouse development to join our team. In this role, you will design, build, and optimize data pipelines and warehouse architectures that support analytics, reporting, and data-driven decision-making. You will work closely with analysts, data scientists, and business stakeholders to ensure reliable, scalable, and high-quality data solutions. Responsibilities: Develop and maintain ETL/ELT pipelines for ingesting, transforming, and delivering data. Design and enhance data warehouse models (star/snowflake schemas) and BI datasets. Optimize data workflows for performance, scalability, and reliability. Collaborate with BI teams to support dashboards, reporting, and analytics needs. Ensure data quality, governance, and documentation across all solutions. Qualifications: Proven experience with data engineering tools (SQL, Python, ETL frameworks). Strong understanding of BI concepts, reporting tools, and dimensional modeling. Hands-on experience with cloud data platforms (e.g., AWS, Azure, GCP) is a plus. Excellent problem-solving skills and ability to work in a cross-functional environment.

Job DescriptionOur Mission Launched in 2012, Tinder revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™" Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team The Data Science & Analytics team thrives on data-driven insights to make more informed decisions through our insights into our member's behavior, preferences, and common trends. We take ownership over the integrity of our data and work to improve data literacy across Tinder. Recommendations (Recs) is core to Tinder's experience-covering ranking, retrieval, signals, and model evaluation-to improve match quality, conversations, retention, and revenue through principled ML and experimentation. As a Senior Data Scientist on the Recommendations (Recs) team, you will partner closely with Product, Engineering, and Machine Learning (ML) to identify and size new opportunities, strengthen existing algorithms, and shape measurement and experimentation across a two-sided marketplace. You'll build the tooling and dashboards needed for crisp reads and health monitoring, communicate insights and tradeoffs with executive clarity, and serve as a trusted, respected partner to the Recs pod and a mentor for the broader Data Science team. This role will be given wide latitude but high expectations for the development of analyses, models, and plans that will be shared directly with the executive team and help shape the trajectory of our product roadmap. Where you'll work:This is a hybrid role and requires in-office collaboration three times per week in Los Angeles, Palo Alto or San Francisco. In this role, you will: Work closely with Product, Engineering, and ML to identify and evaluate new opportunities; frame hypotheses, define success metrics and guardrails, and translate findings into clear product recommendations. Support the ML team in improving algorithms across retrieval, ranking, and personalization; strengthen offline/online evaluation and alignment. Define and lead experimentation design and analysis tailored to a two‑sided marketplace; drive meta-analyses and playbooks that uplevel reads and decision quality. Build tools and dashboards to improve experiment reads and KPI monitoring; standardize templates and health checks for fast, reliable iteration. Deliver executive-ready presentations and docs that clarify options, tradeoffs, risks, and expected business impact. Be a trusted and respected partner for the Recs pod, focused on delivering the best recommendations for our worldwide member base. Mentor and inspire other data scientists; review analyses and elevate experimentation, causal inference, and model evaluation practices across the team. You'll Need: Bachelor's, Master's, and/or Ph.D. degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or related fields). 5+ years of professional experience in data science/analytics, with meaningful time in recommender systems, ranking, search, or personalization at consumer scale (or equivalent impact/complexity). Fluency in SQL and Python (required). Deep understanding of statistics and causal inference; hands-on experience designing and analyzing online experiments (A/B, variance reduction, sequential testing) and applying quasi-experimental methods when appropriate. Strong product sense and analytical rigor; ability to frame the right questions, choose fit-for-purpose methods, and land actionable recommendations with cross-functional partners. Familiarity with machine learning for recommendations, including offline/online metric design and model evaluation for ranking/personalization use cases. Nice to have: Experience with modern Recs stacks (e.g., retrieval/two‑tower, learning‑to‑rank, embeddings/feature stores) and counterfactual evaluation approaches (IPS/DR, switchback tests). Working knowledge of Spark or similar large‑scale data tools and MLOps concepts (feature stores, evaluation pipelines, drift/monitoring). Two‑sided marketplace intuition and guardrail design to protect ecosystem health. Track record of mentorship, thought leadership, and cross‑functional influence. As a full-time employee, you'll enjoy: Unlimited PTO (with no waiting period), 10 annual Wellness Days Time off to volunteer and charitable donations matching Comprehensive health, vision, and dental coverage 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Free premium subscriptions for several Match Group apps - including Tinder Platinum! Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.#Tinder Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: ******************************** If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role In the role of Data Scientist, you will report to the Director of Machine Learning and Data Science. We are considering applicants for the location(s) of Los Angeles, CA or San Francisco. We are seeking a Data Scientist with skills and experience in using User Behavior Analytics and Modeling to kick start our effort to detect and deter account sharing by leveraging platform-collected data such as login patterns, device usage, IP addresses, and viewing behaviors. This position focuses on uncovering insights from large datasets to inform machine learning models that identify anomalous sharing activities, ultimately supporting revenue growth and subscriber retention strategies inspired by industry leaders like Netflix and Disney+. Core Areas of Responsibility Conduct exploratory data analysis on user session logs to establish baselines for normal and anomalous behaviors. Develop predictive models using statistical and machine learning techniques to forecast and segment user sharing patterns. Design and conduct experiments to validate the model accuracy and operations effectiveness. Collaborate with cross-functional teams to define data requirements and create frameworks for ongoing behavioral monitoring. Build visualizations and reports to communicate insights on user engagement and potential sharing risks to stakeholders. Ensure data privacy compliance while optimizing data pipelines for efficient operations. About You We get excited about candidates, like you, because you have the following: Experience: You have 5+ years in data science roles focused on behavioral analytics, preferably in tech or streaming industries, with proven success in user behavior modeling, anomaly and fraud detection, and related applications. Technical Skills: Proficient in Python for data analysis and modeling, SQL for database querying, and tools like Tableau or matplotlib for visualization, with experience in machine learning libraries such as xgboost, scikit-learn, and pytorch for modeling. Cross-Functional Collaborations: Skilled at partnering with engineering, product, and legal teams to align analytics with business objectives and integrate findings into product features. Communication Skills: Adept at presenting complex behavioral insights in clear, actionable formats to non-technical audiences through reports and visualizations. Education Background: Hold a master's degree in data science, statistics, computer science, or a related field, with coursework in behavioral economics or psychology being advantageous. About the Team You will join an interdisciplinary team of Data Scientists, Machine Learning Engineers, and AI Engineers, united by a passion for leveraging data and ML/AI to create transformative solutions. Our team delivers both consumer-facing product features that enhance the streaming experience for millions of users and stakeholder-oriented solutions that empower internal teams with actionable insights. From building personalized recommendation systems to developing innovative tools like our stakeholder-facing chatbot, we combine cutting-edge machine learning, robust data pipelines, and advanced AI to drive impact across the organization. Collaboration, creativity, and a commitment to excellence define our team's culture as we work together to push the boundaries of what's possible in streaming and data-driven decision-making. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! #LifeAtCrunchyroll #LI-Hybrid The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks.Pay Transparency - Los Angeles, CA$168,000-$210,000 USDAbout our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service. We serve our community with humility, enabling joy and belonging for others. Our commitment to diversity and inclusion Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business. We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation. Questions about Crunchyroll's hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/3**********2-Crunchyroll-Hiring-FAQs Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: ********************************************************************************************************** Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly ********************* email account.

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

About Sony Music Entertainment At Sony Music Entertainment, we fuel the creative journey. We've played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We've nurtured some of music's most iconic artists and produced some of the most influential recordings of all time. Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we're committed to artistic integrity, transparency, and entrepreneurship. Sony Music Entertainment is a member of the Sony family of global companies. What you'll do Perform data analysis using SQL/python to identify promising unsigned artists & understand market trends Build big-data ETL pipelines using python Build full stack web applications using the following stack (Nest.js, React.js/Vite, TypeORM/Postgres) Build a mobile application using React Native Assist with digital marketing analysis to determine campaign effectiveness and help determine strategy Who you are 3+ years of experience working with data and development or has a master's degree or higher Experience with SQL, python, and other programming languages and business intelligence tools A powerful blend of analyst and data developer - skilled at both uncovering insights from complex data and building streamlined applications Passionate about the music and entertainment business and have a desire to build a career in the industry Capable of taking direction towards a long-term vision Have a positive attitude What we give you: You join an inclusive, collaborative and global community where you have the opportunity to channel your passion every day A modern office environment designed to foster productivity, creativity, and teamwork empowering you to bring your best An attractive and comprehensive benefits package including medical, dental, vision, life & disability coverage, and 401K + employer matching Voluntary benefits like company-paid identity theft protection and resources for pets, mental health and meditation resources, industry-leading fertility coverage, fully paid leave for childbirth or bonding, fully paid leave for caregivers, programs for loved ones with developmental disabilities and neurodiversity, subsidized back-up child and elder care, and reimbursement for adoption, surrogacy, tuition, and student loans Investment in your professional growth and development enabling you to thrive in our vibrant community. The space to accelerate progress, positively disrupt, and create what happens next Time off for a winter recess Sony Music is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender, gender identity or expression, pregnancy, veteran or military status, marital and civil partnership/union status, alienage or citizenship status, creed, genetic information or any other status protected by applicable federal, state, or local law. California based applicants have certain rights under California law. Please see our California Recruitment Privacy Policy for more details. The anticipated annual base salary does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. California Pay Range $110,000 - $130,000 USD

X Consultants, Inc. is seeking Senior Data Analyst Overview of Key Duties and Responsibilities: Work with a team to develop creative environmental project strategies and prepare work scopes of work. Participate in the preparation and implementation of work plans for site assessments and monitoring programs. Prepare technical reports with a focus on regulatory compliance, accuracy, clarity, succinctness, and document QA/QC Provide technical and general field support/oversight on various environmental site assessments including but not limited to soil vapor, soil, sediment, and groundwater Perform Groundwater monitoring purging and sampling utilizing stand volume purge and low flow methodologies Observe drilling and monitoring well installation and classifying soil and bedrock samples Peer review environmental site assessment reports prepared by other consultants Evaluate and interpret technical analytical data relative to project-specific clean-up goals or applicable screening levels Participate in communication with clients and regulatory oversight agencies Provide training and mentorship to junior staff This Job Might Be For You If You Have The Following: Minimum B.A./B.S. in Environmental Engineering, Geology, Environmental Science, or another related field Professional Engineer or Professional Geologist license (preferred) 3 to 5 years of related experience Passion for the environment and science A willingness to assist in training junior staff in field related procedures Highly motivated with excellent technical writing and documentation skills Ability to work independently and as part of a team Familiar with Phase I ESA ASTM/AAI requirements Currently have or willing to obtain a OSHA 40 Hour HAZWOPER certification Experience installing soil vapor and groundwater monitoring wells Experience performing Groundwater purging and sampling with the use of various groundwater monitoring pumps and water quality indicator meters (preferred) Experience accurately preparing soil boring logs, hydrographs, groundwater contour maps, field notes, sketches and other documentation of actions undertaken during site investigation and remediation projects Proficient understanding off current groundwater and soil sampling methods Excellent verbal, interpersonal, and written communication skills Rincon Consultants, Inc. is an award-winning leader in providing quality environmental consulting services throughout California. Recognized as the #1 ‘Best Environmental Services Firm to Work For' by the Zweig Group in 2021, our 400+ associates in 12 offices are dedicated professionals who combine their passion with our purpose. We partner with clients in sectors such as transportation, energy and infrastructure, oil and gas, water, commercial, private development, and government. The base salary range for this full-time position is $54,000-$85,000, plus benefits and bonus. At Rincon, our salary ranges are based on market median of similar jobs, according to third party salary benchmark surveys. The base pay that is actually offered will take into account internal equity and also may vary depending on the candidate's job-related knowledge, skills, and experience. Total Rewards Package* Includes: HMO, PPO, HDHP, Health Savings Account options Three Weeks Vacation accrued in the first year 401(k) / Profit Sharing Retirement Plan 2x/Year Bonus Opportunities Paid Sick Leave Eight Paid Holidays Flexible Spending & Dependent Care Employer-paid life and long-term disability insurance Dental, vision, prescription drug Supplemental life insurance Volunteer Pay for a Day Legal Shield, Identity Protection, Pet Insurance Professional Development Mentoring Patagonia Merchandise Partnership And much more!