Senior data scientist jobs in Lake Charles, LA - 1,217 jobs

The Principal Data Consultant works in partnership with Product Management, Sales, Customer Support, Order Management, Data Delivery centers, and other cross-functional groups to define and document requirements for standard and custom data products, and to further provide analytical and liaison support to the delivery of sustainable and streamlined data solutions. The **hybrid-remote** PrincipalData Consultant leverages both data and client knowledge to define and align customer requirements to data extract specifications and deliverables while providing support to account executives and product managers regarding the applicability of CoreLogic data to business use cases.* Facilitate discovery of business requirements from client's perspective, translated into specifications which will deliver the right mix of data elements to enable clients to make timely and insightful decisions* Collaborate with clients and internal stakeholders to ensure data needs are well understood* Gather requirements from internal and external stakeholders to write extract specifications that meet client's needs* Define user stories and requirements and conduct research / analysis in support of developing standardized layouts and packages to meet requirements* Write detailed descriptions of user needs (including acceptance criteria) for the development of custom data extracts, or (preferentially) new standard data products* Validate specifications with internal and external stake-holders to ensure they are consistent with articulated business requirements and deliver the expected results* Coordinate issue resolution across multiple teams* Bachelor's degree in Business Administration, Computer Science, relevant discipline, or equivalent experience.* Typically has 10+ years of Business/Process Analyst or directly related experience in the same or related industry* Excellent written and oral communication skills* Ability to translate business requirements into complete and deliverable specifications·* Excellent organizational and project management and facilitation skills. Ability to prioritize and handle multiple concurrent projects* Excellent interpersonal skills for interacting with/influencing cross-functional teams and gaining consensus. Strong listening and question-based knowledge gathering skills* Ability to synthesize and analyze data from a variety of sources, identify issues, draw conclusions, and craft solutions* Experience working as a member of a distributed team. Ability to organize and coordinate with stakeholders across multiple functions and geographic locations* Domain knowledge covering one or more aspects of the real estate economy (mortgage servicing, property insurance, credit, etc)* Experience authoring SQL queries.* Familiarity with diverse coding, profiling, and visualization approaches including Python, Tableau, and Google Cloud* Extensive knowledge of client base, product, and data offerings* Understanding of Big Data, Cloud, Machine Learning approaches and concepts Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. Please navigate to "location" and filter on desired country under the "locations". ex: United States, Canada, United Kingdom, India# We have some exciting news to share with you, CoreLogic will now be called Cotality! Our new brand reflects our commitment to delivering innovative solutions and building deep relationships.Speaking of fresh starts-if you're thinking about making a change, and you're someone who wants to work for a growing company with a people-first culture which has earned us Great Place to Work recognitions in six countries, apply today!Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.If you need reasonable accommodation to complete the on-line application, please contact Talent Acquisition at ******************** or **************.Please include the following information in your email:The specific accommodation you're requesting to complete an employment application the position you are applying for (job title and/or job number)********************. Please allow up to three business days to receive a response.Please include the following information in your email:*Your organization's name**Organization's location(s)**Brief description of your need*Cotality is aware of schemes involving fraudulent job postings on third-party employment search sites and/or individual(s) or entities claiming to be employees of Cotality. Those involved are offering fraudulent employment opportunities to applicants, often asking for sensitive personal and financial information. If you believe you have been contacted by anyone misrepresenting themselves as an employee of Cotality or a Cotality recruiter, please contact Cotality at ********************.* Please be advised that all legitimate correspondence from a Cotality employee will come from "@Cotality.com" or "@CoreLogic.com" email accounts.* Cotality will not **interview** candidates via text or email. Our interviews will be conducted by recruiters and leaders via the phone, zoom/teams or in an in-person format.* Cotality will never ask candidates to make any type of personal financial investment related to gaining employment with the Company.Please click to view the Cotality Applicant Privacy Statement.By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. #J-18808-Ljbffr

Role: Senior Data Solution Architect-FTE Client: CBRE - Full time Opportunity Job Details As a Senior Data Solutions Architect, you'll own the design and implementation of modern data platforms that tackle sophisticated business problems. This role goes beyond traditional data engineering it's about enabling intelligent automation, semantic understanding, and autonomous decision-making through technologies like Ontology, Knowledge Graphs, NLP, Agentic AI, and MCP. You'll be the extension business strategy and technical execution, shaping scalable, secure, and intelligent data ecosystems that power sophisticated analytics and AI-driven transformation. Responsibilities: Build, develop, and implement modern AI-ready data architectures, integrations, and application solutions that span multiple platforms and technologies. Compose and operationalize ontologies and knowledge graphs to enable semantic data integration and contextual analytics. Integrate Agentic AI frameworks to automate multi-step workflows and decision-making. Own the development of scalable ETL/ELT pipelines, data lakes, and data warehouses. Develop and support integrations between enterprise systems including data lakes, warehouses, and third-party APIs ensuring performance, reliability, and data consistency. Apply NLP techniques to extract insights from structured & unstructured data and enable conversational analytics. Collaborate with collaborators across departments to translate business needs into technical requirements and scalable and secure technical solutions. Collaborate with other developers, data analysts/engineers, and vendors to deliver multi-functional solutions. Define and maintain artifacts, including data flow diagrams, integration patterns, and metadata repositories. Ensure data governance, security, and compliance across all solutions. Remain up to date in new and emerging technologies Expectations: To perform this job successfully, an individual will need to perform each crucial 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 essential functions. Bachelor's or Master's degree in computer science, Data Engineering, or related field. 10+ years of experience with at least 3 years' experience in data architecture, data products Proven expertise in building Data platforms & Data products Solid understanding of NLP, LLMs, and advanced analytics workflows Hands-on experience with Agentic AI systems and frameworks Substantial experience with data modeling, integration patterns & semantic technologies. Exposure to Ontology & Knowledge Graph is a plus. An understanding of Master Data Management and Data Governance frameworks Experience with BI/reporting tools Deep familiarity with modern data platforms (Snowflake, Databricks, Azure Synapse). Experience with data modeling, metadata management, and orchestration tools Excellent communication and collaborator leadership skills. Experience working in agile environments and leading multi-functional teams.

Our client is seeking a motivated and detail-oriented Senior/Lead Data Governance Analyst to support the growth and execution of their enterprise data governance framework. This role will work cross-functionally with product owners, stewards, and technical teams to help define and maintain key data standards, policies, definitions, and quality practices across the enterprise. As part of the growing Data Governance team, you will assist with monitoring data quality, cataloging critical data elements, and promoting data literacy. This is an excellent opportunity for an analyst with foundational experience in data governance or data management who is eager to contribute to impactful enterprise initiatives in a modern data environment. What you get to go do in this exciting role: Lead implementation and custodianship of data definitions, metadata standards, and business glossaries using Alation. Drive identification and stewardship of critical data elements, defining and maintaining business rules and ensuring alignment with enterprise priorities. Proactively lead monitoring and triaging data quality issues using Monte Carlo, and coordinate remediation efforts with both business stakeholders and technical teams. Design and maintain enterprise data quality dashboards and reporting solutions using Tableau to drive insights and accountability. Partner with data stewards, data engineering, and BI teams to align data sources with enterprise data models, and recommend improvements to data architecture. Provide oversight and execution support for data validation and testing across systems during releases and project deployments. Lead efforts in Master Data Management (MDM) and Reference Data Management (RDM), including configuration, governance, and lifecycle oversight. Maintain and enhance enterprise data catalog documentation, ensuring accuracy of data lineage, ownership, and classification. Drive implementation of data governance standards, policies, and best practices across departments and act as a change agent to improve data literacy and governance adoption. Collaborate with third-party data providers to ensure integrity, quality, and SLA compliance of inbound data feeds. Provide strategic guidance and hands-on support for QA and UAT efforts, ensuring data-related test scenarios reflect real-world business needs and data risk exposure. Recommend test cases to be permanent. Manage daily operations and continuous improvement of governance-managed tools (Alation, Monte Carlo), including integrations, vendor relations, cost/license tracking, and feature adoption. Collaborate closely with Data Engineering to define, maintain, and promote certified datasets as trusted sources for analytics and reporting. Mentor junior team members and contribute to governance strategy development. Foster a culture of data stewardship, literacy, and responsible data usage throughout the organization. What you need to be successful in this role: Bachelor's degree in Information Systems, Computer Science, Data Analytics, or a related field. 8+ years of progressive experience in data governance, data quality, and data management roles. 10+ years of experience in Data Warehousing, Business Intelligence, and Business Analysis. Experience leading or coordinating data initiatives within a cross-functional or matrixed organization. Familiarity with regulatory environments (e.g., financial services, healthcare) and their impact on data governance. Experience with Agile or Scrum methodologies and tools such as Jira or Confluence. Strong understanding of data governance frameworks, data lifecycle management, and enterprise data strategy. Hands-on experience with metadata management and data catalog tools (e.g., Alation). Experience with data quality and monitoring platforms such as Monte Carlo. Proficient in SQL for querying and analyzing data across complex systems. Experience with modern cloud-based data warehouse and data lake platform architectures such as Azure Databricks and Snowflake. Proven ability to assess, troubleshoot, and resolve complex data quality issues. Skilled at cross-functional collaboration, translating business needs into actionable data initiatives. Excellent project management, organization, and documentation skills. Effective communicator capable of influencing data-related decisions across technical and business audiences. Ability to work independently and manage multiple initiatives with minimal supervision.

This is a Full Time Direct Hire Permanent Role No C2C No Sponsorship We are seeking Data Engineers to support a critical migration project from SQL Server to Azure Synapse Analytics. This role combines data engineering, data analysis, and visualization responsibilities to ensure a smooth transition and optimized data architecture. Key Responsibilities Design, develop, and implement data pipelines to migrate data from SQL Server to Azure Synapse Analytics. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Optimize data models and queries for performance and scalability in Azure Synapse. Perform data analysis and validation to ensure accuracy and integrity during migration. Develop dashboards and reports using Power BI for business insights. Work with Microsoft Fabric to integrate and manage data workflows. Ensure compliance with data governance and security standards. Required Skills & Qualifications Strong experience with SQL (query optimization, stored procedures). Proficiency in Python for data processing and automation. Hands-on experience with Apache Spark for big data processing. Expertise in Azure Synapse Analytics and familiarity with Microsoft Fabric. Experience building and maintaining Power BI dashboards. Solid understanding of data warehousing concepts and ETL processes. Preferred Qualifications Experience with cloud-based data architecture and migration projects.

8+ years (with strong hands-on Azure Data Factory and PL/SQL experience) We are looking for a highly skilled Azure Data Engineer with deep expertise in Azure Data Factory (ADF) and PL/SQL to design, build, optimize enterprise-scale data integration and transformation solutions. The ideal candidate will work closely with business, analytics, and architecture teams to deliver reliable, scalable, and high-performance data pipelines. Design, develop, and maintain ADF pipelines for batch and incremental data loads Implement ETL/ELT workflows using ADF activities such as Copy, Data Flow, Lookup, ForEach, and Web activities Integrate ADF with Azure Data Lake Storage Gen2, Azure Blob Storage, Azure SQL, Synapse Analytics, and on-prem systems Develop and optimize PL/SQL stored procedures, packages, functions, and triggers Write complex SQL queries involving joins, subqueries, analytics functions, and performance tuning Perform query optimization using indexes, execution plans, and partitioning strategies.

About the Role We are looking for a Data Analytics Engineer who sits at the intersection of data engineering and analytics. In this role, you will transform raw, messy data from vehicles, APIs, and operational systems into clean, reliable datasets that are trusted and widely used-from engineering teams to executive leadership. You will own data pipelines end to end and build dashboards that surface insights, track performance, and help teams quickly identify issues. What You'll Do Build and maintain ETL pipelines that ingest data from diverse internal systems into a centralized analytics warehouse Work with unique and high-volume datasets, including vehicle telemetry, sensor-derived signals, logistics data, and system test results Write efficient, well-structured SQL to model and prepare data for analysis and reporting Design, build, and maintain dashboards (e.g., Grafana or similar) used to monitor system performance and operational health Partner closely with engineering, operations, and leadership teams to understand data needs and deliver actionable datasets Explore internal AI- and LLM-based tools to automate analysis and uncover new insights What You'll Need Strong hands-on experience with Python and data libraries such as pandas, Polars, or similar Advanced SQL skills, including complex joins, window functions, and query optimization Proven experience building and operating ETL pipelines using modern data tooling Experience with BI and visualization tools (e.g., Grafana, Tableau, Looker) Familiarity with workflow orchestration tools such as Airflow, Dagster, or Prefect High-level understanding of LLMs and interest in applying them to data and analytics workflows Strong ownership mindset and commitment to data quality and reliability Nice to Have Experience with ClickHouse or other analytical databases (e.g., Snowflake, BigQuery, Redshift) Background working with vehicle, sensor, or logistics data Prior experience in autonomous systems, robotics, or other data-intensive hardware-driven domains

Immediate need for a talented Data Engineer. This is a 06+ Months Contract opportunity with long-term potential and is located in Dallas, TX (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:26-00480 Pay Range: $40 - $45/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Design, develop, and optimize end-to-end data pipelines using Python and PySpark Build and maintain ETL/ELT workflows to process structured and semi-structured data Write complex SQL queries for data transformation, validation, and performance optimization Develop scalable data solutions using Azure services such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Databricks Ensure data quality, reliability, and performance across data platforms Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements Implement best practices for data governance, security, and compliance Monitor and troubleshoot data pipeline failures and performance issues Support production deployments and ongoing enhancements Key Requirements and Technology Experience: Must have skills: Data Engineer, Azure, Python, PySpark Strong proficiency in SQL for querying and data modeling Hands-on experience with Python for data processing and automation Solid experience using PySpark for distributed data processing Experience working with Microsoft Azure data services Understanding of data warehousing concepts and big data architectures Experience with batch and/or real-time data processing Ability to work independently and within cross-functional teams Experience with Azure Databricks Knowledge of data modelling techniques (star/snowflake schemas) Familiarity with CI/CD pipelines and version control tools (Git) Exposure to data security, access control, and compliance standards Experience with streaming technologies Knowledge of DevOps or DataOps practices Cloud certifications (Azure preferred) Our client is a leading Pharmaceutical Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Required Qualifications: 9+ years' experience and hands on with Data Warehousing. 9+ years of hands on ETL (e.g., Informatica/DataStage) experience 3+ years of hands-on Big query 3+ years of hands on GCP 9+ years of Teradata hands on experience 9+ years working in a cross-functional environment. 3+ years of hands-on experience with Google Cloud Platform services like Big Query, Dataflow, Pub/Sub, and Cloud Storage 3+ years of hands-on experience building modern data pipelines with GCP platform 3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management 3+ years of experience with SQL, NoSQL 3+ years of experience in data engineering with a focus on microservices-based data solutions 3+ years of containerization (Docker, Kubernetes) and CI/CD for data pipeline 3+ years of experience with Python (or a comparable scripting language) 3+ years of experience with Big data and cloud architecture 3+ years of experience with deployment/scaling of apps on containerized environment (Kubernetes,) Excellent oral and written communications skills; ability to interact effectively with all levels within the organization. Working knowledge of AGILE/SDLC methodology Excellent analytical and problem-solving skills. Ability to interact and work effectively with technical & non-technical levels within the organization. Ability to drive clarity of purpose and goals during release and planning activities. Excellent organizational skills including ability to prioritize tasks efficiently with high level of attention to detail.. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Data ScientistABOUT US Shipwell believes we are fundamentally changing the logistics industry and breaking the mold for how the supply chain has been operated for centuries. We work with thousands of shippers and carriers to create the first real solution in logistics through an unmatched technology platform. With a fast-paced and gritty startup mentally, which is generating a buzz in the investment world, Shipwell provides a unique opportunity to get in on the ground floor of a future Fortune 500 Company. We are backed by some of the best investors in both Silicon Valley and Austin who believe we are onto something and we need the right people to continue our rapid growth plan towards changing the world of freight. DATA SCIENTIST The Data Scientist role provides you with a unique opportunity to join a high growth, third-party logistics company as we pivot into a record-breaking 3rd year. We're laying the foundation on which our industry will be reinvented; we're looking for individuals who want to part of a significant change. Ideas come from being an innovator and an amplifier, that strives to achieve more, for themselves and to enable greatness in others. WHAT YOU WILL DO WHEN YOU GET HERE Analyze client proprietary and public domain datasets leveraging advanced analytics and statistics to work on scheduling and network optimization, macroeconomic forecasting, pricing, and routing Source, clean, and process a diverse set of data streams Identify and understand business needs and contextualize results of the analysis to drive impact for the organization as a whole Dynamically collaborate with operations and product teams to refine project goals, scope, and timelines Provide consulting services on both internal and external analytic questions WHAT YOU NEED TO HAVE Bachelor's degree in mathematics/statistics, engineering, computer science, or other technical disciplines Expert knowledge in a mathematical programming language of choice (preferred: R, Python, Matlab) Experience with ETL processes for manipulating data sets Detail-oriented, proactive problem-solving skills Ability to communicate complex findings in a clear, precise, and actionable manner. Able to translate high-level ideas into well-defined problems 2+ years work experience (non-academic) Experience with API integration Experience with a visualization platform (e.g. Tableau) and experience with database manipulation (e.g. SQL) - preferred WHY SHIPWELL? Corporate headquarters in sunny Austin, TX Incredible growth opportunity at one of the fastest growing companies in Austin The kitchen is fully stocked with local coffee, drinks, and snacks Company sponsored healthcare insurance and dental insurance Team building events and office competitions Partial cell phone reimbursement Receive an elite technology package to include a brand new MacBook Pro! Competitive salary Opportunity to put your thumbprint on a high-growth company in the early stages An open work environment where everyone, even the new folks, have a voice View all our open positions at ************************ We've announced our Series A financing round! Read more on TechCrunch. Shipwell is an equal opportunity employer. In keeping with the values of Shipwell, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We have pledged to create a diverse and culturally strong company and environment.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of consumer/customer experience and to drive the company's commercial performance. Avail (part of Realtor.com) is a fast-growing platform transforming how independent landlords and tenants manage the rental experience. Built with the spirit of a startup and backed by the scale and stability of a leading digital real estate company, Avail provides a complete suite of tools, resources, and education to help landlords manage their properties with confidence and professionalism. As part of the Avail team, you'll have the opportunity to make a meaningful impact - shaping the future of this rapidly expanding brand and helping to reimagine the rental industry for millions across the U.S. Role Description We are seeking a Senior Data Scientist with a strong background in machine learning, experimentation, strategic analytics, and cross-functional stakeholder support to help shape the future of our Data Science program at Avail. As a trusted partner to the Avail leadership team, you will be the vital link between complex data and pivotal business moves, striving to enable and empower data-driven decision making across the business. In this role, you will analyze large and complex data sets, conduct robust analyses, generate actionable insights, and deliver clear recommendations that inform critical decisions across strategy, product, marketing, and operations. The ideal candidate is a detail-oriented data science expert, a self-starter comfortable with ambiguity, and a team player who excels in cross-functional collaborations, with the ability to work in a fast-paced environment and driven by a desire to make things better. What you'll do: * Partner closely with Avail business stakeholders to understand/clarify needs and requirements, and translate them into data science problems. * If the required data is not available, work with the team to identify the right data sources, and build analytical data layers in collaboration with the data engineering partner. * Independently conduct end-to-end data science work from data collection, ETL, model development/analysis, to the delivery of insights and recommendations. * Serve as Avail's Data Science expert and own experimental design and advanced statistical analysis best practices; provide consultation and collaborate closely with colleagues conducting research/experiments in product, marketing and beyond. * Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences. * Build and grow adoption of self-service solutions that empower stakeholders to access data and insights, and hence accelerate data-driven decision making. * Work with Avail leadership team on strategic initiatives and planning, providing analytical support on financial modeling, forecast, opportunity sizing, and so on. * Foster a culture of accountability and transparency by ensuring reproducibility, traceability, and clear code documentation in all analytics work. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. How We Reward You: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: * Inclusive and Competitive medical, Rx, dental, and vision coverage * Family forming benefits * 13 Paid Holidays * Flexible Time Off * 8 hours of paid Volunteer Time off * Immediate eligibility into Company 401(k) plan with 3.5% company match * Tuition Reimbursement program for degreed and non-degreed programs * 1:1 personalized Financial Planning Sessions * Student Debt Retirement Savings Match program * Free snacks and refreshments in each office location What you'll bring: * Bachelor's degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). * 6+ years of relevant experience as a Data Scientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy). * SQL & Python proficiency is a must, with 6+ years of experience. * Strong capability to work with complex data sets and perform EDA, descriptive, diagnostic, and predictive analyses. * Sound understanding of statistical methods for experimentation (randomization, t-tests, confidence intervals, etc.). * Experience with cloud-based data environments such as Snowflake and AWS. * Proven experience using data science to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities. * Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences at different levels. * Experience in collaborating with cross-functional partners. * Self-motivated and self-managing, with strong time management, documentation, and organizational skills. Preferred Qualifications * Master's or Ph.D. degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). * Experience creating business intelligence reports using Tableau, Mixpanel, Power BI, or similar tools. * Familiarity with revenue or monetization analytics. * Experience in the tech sector, especially marketplace or property tech. Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

Company Information: Linqx is an industry-leading provider of end-to-end digital solutions and analytics for the oil and gas sector, leveraging advanced data analytics to optimize engineering and operations​. Its cloud-based platforms deliver AI-driven insights that enhance reservoir performance and streamline workflows​​. Driven by a mission of data-driven innovation​, Linqx combines cutting-edge technology with oilfield expertise to deliver transformative results​. Position Summary: Seeking an experienced and highly skilled Data Scientist to join our dynamic team. The ideal candidate will possess a strong foundation in data science, machine learning, and data engineering, with a particular focus on developing and deploying cutting-edge generative AI models. Incumbents will work closely with cross-functional teams to drive impactful data-driven decisions and innovations across the organization. Our dynamic approach to technology offers an exciting environment for this role that's focused on big data, machine learning, and advanced analytics. Key Roles / Responsibilities: Design, implement, and deploy advanced machine learning models and algorithms, particularly in Generative AI (e.g., GANs, transformers, diffusion models). Leverage deep learning frameworks (such as TensorFlow, PyTorch, or JAX) to build and train state-of-the-art models for natural language processing (NLP), computer vision (CV), and other generative tasks. Collaborate with engineering teams to ensure seamless integration of AI/ML solutions into production environments, optimizing for performance and scalability. Work with technology and business leaders to evolve data-driven vision, communication channels, and all supporting documentation Utilize advanced statistical techniques and data modeling methods to analyze large, complex datasets and provide actionable insights. Develop data pipelines for cleaning, processing, and transforming raw data into structured formats suitable for machine learning applications (i.e. familiarity with Lakehouse deployment/governance on Medallion architecture). Design, build, and maintain efficient and scalable data architectures and data storage solutions. Work on end-to-end machine learning workflows, including data preprocessing, feature engineering, model training, evaluation, and deployment. Continuously evaluate and optimize model performance and contribute to improving the overall AI/ML infrastructure and processes. Mentor and/or manage junior data scientists and engineers, fostering a culture of collaboration and continuous learning. Stay updated on the latest advancements in AI/ML research and apply innovative techniques to solve business problems. Document and communicate findings and solutions clearly to both technical and non-technical stakeholders. Participate and potentially drive data-specific technology selection activities Required Education, Experience, and Qualifications: Master's or PhD in Computer Science, Data Science, Engineering, or a related field, with a focus on machine learning, AI, or data engineering. Proven expertise in Generative AI, including experience with techniques such as GANs, VAEs, transformers, RAGs, and other advanced AI and deep learning models. Strong proficiency in programming languages like Python, R, or Julia, and hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Extensive experience with data engineering, including data wrangling, ETL processes, data storage, and real-time data processing. In-depth knowledge of machine learning algorithms, deep learning, and statistical modeling techniques. Familiarity with cloud platforms (AWS, GCP, or Azure) and distributed computing frameworks (e.g., Spark, Hadoop). Experience in designing and optimizing data architectures for both batch and real-time data flows. Proficient with database systems (SQL, NoSQL) and data query languages. Strong problem-solving, analytical, and critical-thinking skills with the ability to work independently or as part of a team. Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Preferred Skills: Knowledge of NLP and CV applications, including experience with large-scale pre-trained models like GPT, BERT, or DALL·E. Expertise in model deployment and monitoring in production environments (e.g., Docker, Kubernetes, MLflow). Experience with version control systems (e.g., Git) and software development best practices. Familiarity with DevOps practices and CI/CD pipelines for machine learning projects. Published research in top-tier conferences or journals related to AI/ML or Generative AI. Benefits: Competitive Compensation Package Medical + Dental + Vision Coverage 401K + Company Match Life Insurance + Long Term Disability Coverage - 100% Company Paid Health Savings Account (HSA) Gym Reimbursement Program Tuition Reimbursement Program Wellness Check Program - Insurance Premium Discounts EAP Resources Paid Holidays Paid Time Off (PTO) Working Conditions: Year-round on-site in-office expectation (standard 5-day work week) Working with globally distributed team members and partners Prolonged periods sitting at a desk and working on a computer. Must be able to lift 15 pounds at times. Positions self to install equipment, including under desks. Moves throughout the building to access files. Must be able to comprehend and follow written and oral instructions. Must be able to complete tasks even with frequent interruptions. Must be able to use discretion and independent judgment as needed. Must be able to speak clearly on the phone and to fellow workers. This job description should not be interpreted as an exhaustive list of responsibilities or as an employment agreement between the employer and the employee. The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification and are subject to change as the needs of the employer and requirements of the job change. Any essential functions of this position will be evaluated as necessary should an employee/applicant be unable to perform the functions or requirements due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the employee/applicant when possible. I acknowledge that I have read and understand the description of this position and have had the opportunity to ask my supervisor about any points I did not understand. I hereby state that I can perform the essential functions of this position with or without reasonable accommodation.

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions. We can recommend jobs specifically for you! Click here to get started.

DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities * Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. * Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. * Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. * Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. * Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. * Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. * Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. * Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. * Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. * Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. * Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. * Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 7+ years of experience in data science roles within AEC, product or technology organizations. * At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. * Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). * Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). * Solid understanding of statistical methods, predictive modeling, and optimization techniques. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills * Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. * Hands-on experience with Generative AI tools and libraries. * Background in experimentation infrastructure or human-AI interaction systems. * Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Empowering players to create is an exciting future for the gaming industry. At Electronic Arts we have many examples of players creating content, whether it be a skateboard park in Skate or fantastical mansions in the Sims 4. The future definitely has our players being more empowered to create with their imagination being the only limit. We are looking for a Data Scientist to help shape the future of content creation and gameplay with AI. If you have the right expertise and are interested we want to hear from you! As a Senior AI Data Scientist you will: * Build, fine-tune and implement AI and machine learning models to solve challenging problems * Ensure AI and machine learning production pipelines are scalable, repeatable and cloud agnostic * Apply current and emerging techniques in deep learning, natural language processing and other machine learning areas * Collect, clean, manage, analyze and visualize large sets of data using multiple data platforms, tools and technique * Work in partnership with game teams to integrate AI solutions into products and services. * Optimize and fine-tune AI models for performance and scalability. Analyze and interpret data to extract meaningful insights and improve AI models. * Document and present findings and solutions to stakeholders. Desired qualifications and experience: * A minimum of 3+ years of experience in data science * PhD or MSc in statistics, mathematics, computer science, or related field * Strong expertise in deep learning, fluent in Python and SQL * Expertise in automating machine learning models and building end to end products * Experience with devops tools and principles (Git, CI/CD, Docker) * Effective within Cloud environments (GCP, AWS) * Understanding of containerization and orchestration technologies (Docker, Kubernetes, etc.) * C++ and game development experience is a plus. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$138,700 - $199,900 CAD * California (depending on location e.g. Los Angeles vs. San Francisco) *$160,600 - $249,300 USD * Washington (depending on location e.g. Seattle vs. Spokane) *$149,200 - $205,500 USD In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions. We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required. Data Scientist responsibilities are: Research and detect valuable data sources and automate collection processes Perform preprocessing of structured and unstructured data Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON) Review large amounts of information to discover trends and patterns Create predictive models and machine-learning algorithms Modify and combine different models through ensemble modeling Organize and present information using data visualization techniques Develop and suggest solutions and strategies to business challenges Work together with engineering and product development teams Data Scientist requirements are: 3+ years' experience of working on Data Scientist or Data Analyst position Significant experience in data mining, machine-learning and operations research Experience with data modeling, design patterns, building highly scalable and secured solutions preferred Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC) Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred Must be a U.S. Citizen

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is seeking a product-focused Data Scientist to join our Analytics & Data Science team. In this high-impact role, you'll partner closely with product development teams to transform raw user data into actionable insights that drive growth for Airtable's self-serve business. You'll own critical data pipelines, design and analyze experiments, build dashboards, and deliver strategic insights that inform executive decision-making. This is a unique opportunity to shape the future of a data-driven, AI-native SaaS company and scale analytics best practices across the organization. What you'll do Own and maintain core product data pipelines across DBT, Looker, and Omni, ensuring reliability, scalability, and minimal downtime Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas Lead the development and delivery of company-wide strategic insights that connect user behavior patterns and inform executive decisions Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports Establish trusted partnerships with product managers, engineers, analysts, and leadership as the go-to resource for product data insights and technical guidance Collaborate with leadership to define the analytics roadmap, prioritize high-impact initiatives, and assess resource needs for scaling product analytics capabilities Mentor junior team members and cross-functional partners on analytics best practices and data interpretation; create documentation and training materials to scale institutional knowledge Support end-to-end analytics for all product launches, including tracking implementation, validation, and post-launch reporting with documented impact measurements Deliver comprehensive strategic analyses or experiments that connect user behavior patterns and identify new growth opportunities Lead or participate in cross-functional projects where data science contributions directly influence product or strategy decisions Migrate engineering team dashboards to Omni or Databricks, enabling self-serve analytics Who you are Bachelor's degree in computer science, data science, mathematics/statistics, or related field 6+ years of experience as a data scientist, data analyst, or data engineer Experience supporting product development teams and driving product growth insight Background in SaaS, consumer tech, or data-driven product environments preferred Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery); sets standards and mentors others on best practices Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode) Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels) Proven ability to apply AI/ML tools - from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot) Strong statistical foundation; designs and scales experimentation practices that influence product strategy and culture Translates ambiguous business questions into structured analyses, guiding teams toward actionable insights Provides thought leadership on user funnels, retention, and growth analytics Ensures data quality, reliability, and consistency across critical business reporting and analytics workflows Experience at an AI-native company, with exposure to building or scaling products powered by AI Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and expertise in event taxonomy design Strong documentation and knowledge-sharing skills; adept at creating technical guides, playbooks, and resources that scale team effectiveness Models curiosity, creativity, and a learner's mindset; thrives in ambiguity and inspires others to do the same Crafts compelling narratives with data, aligning stakeholders at all levels and driving clarity in decision-making Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$205,200-$266,300 USDFor all other work locations (including remote), the base salary range for this role is:$185,300-$240,000 USD Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. 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At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position SummaryWe're seeking a Sr. Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for financial and analytic workloads. Key Responsibilities:Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs. Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. Design and architect data infrastructure analytical workloads. Required Qualifications5+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines. Strong proficiency in SQL and experience in developing complex queries. Familiarity with py Spark, DBT, or other similar frameworks. Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP). Understanding of data warehousing concepts, dimensional modeling, and building data marts. Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Preferred QualificationsKnowledge of data governance best practices in a cloud environment. Experience with data design in BigQueryExperience working with the Epic data model. Experience working with healthcare data (Claims and Admissions) Education and ExperienceCollege degree or certification in related fields Anticipated Weekly Hours40Time TypeFull time Pay RangeThe typical pay range for this role is:$83,430. 00 - $222,480. 00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ************* cvshealth. com/us/en/benefits We anticipate the application window for this opening will close on: 01/27/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions.