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Senior data scientist jobs in Garland, TX - 471 jobs
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Lead Data Engineer (Intelligent Foundations and Experiences)
Capital One
Senior data scientist job in Plano, TX
Lead Data Engineer (Intelligent Foundations and Experiences) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One's real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Lead Data Engineer Plano, TX: $175,800 - $200,700 for Lead Data Engineer Richmond, VA: $175,800 - $200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).$77k-99k yearly est. Auto-Apply 3d agoHead of Data Science
Varo Money, Inc.
Senior data scientist job in Dallas, TX
Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision‑making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision‑making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high‑performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross‑functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert‑level proficiency in Python and its scientific computing stack (Pandas, Scikit‑learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real‑world datasets. Data Ecosystem Experience: Hands‑on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast‑paced environment, attract high‑quality talent, and drive a data‑informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US‑based roles based on function, level, and geographic location, benchmarked against similar‑stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all‑digital, mission‑driven, FDIC‑insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer‑first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - ********************************** Instagram - ************************** LinkedIn - ***************************************** Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e‑mail ********************* with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: **************************************** #J-18808-Ljbffr$81k-105k yearly est. 4d agoData Scientist
Mastech Digital
Senior data scientist job in Irving, TX
Basic Qualifications: 2+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc. 2+ years of experience with SQL, PySpark and Python. 2+ years of experience training, evaluating and deploying Machine Learning models. 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure. Familiarity with containerized application tooling and deployments (Docker/Kubernetes) Bachelor's Degree or higher in Computer Science/Engineering/Math, or relevant experience Extra Credit: Experience with Databricks platform. Experience building ML models with large amounts of structured and unstructured data$73k-98k yearly est. 4d agoSenior BI Data Modeler
The Intersect Group
Senior data scientist job in Dallas, TX
We are seeking a highly skilled Data Modeler / BI Developer to join our team. This role will focus on designing and implementing enterprise-level data models, ensuring data security, and enabling advanced analytics capabilities within our Primoris BI platforms. The ideal candidate will have strong technical expertise, excellent problem-solving skills, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities Collaborate with the Data Ingestion team to design and develop the “Gold” layer within a Medallion Architecture. Design and implement data security and masking standards, processes, and solutions across various data stores and reporting layers. Build and execute enterprise-level data models using multiple data sources for business analytics and reporting in Power BI. Partner with business leaders to identify and prioritize data analysis and platform enhancement needs. Work with analytics teams and business leaders to determine requirements for composite data models. Communicate data model structures to visualization and analytics teams. Develop and optimize complex DAX expressions and SQL queries for data manipulation. Troubleshoot and resolve issues, identifying root causes to prevent recurrence. Escalate critical issues when appropriate and ensure timely resolution. Contribute to the evolution of Machine Learning (ML) and AI model development processes. Qualifications Bachelor's degree in Business Administration, Information Technology, or a related field. 2+ years experience ensuring data quality (completeness, validity, consistency, timeliness, accuracy). 2+ years experience organizing and preparing data models for analysis using systematic approaches. Demonstrated experience with AI-enabled platforms for data modernization. Experience delivering work using Agile/Scrum practices and software release cycles. Proficient in Azure, Databricks, SQL, Python, Power BI, and DAX. Good knowledge of CI/CD and deployment processes. 3+ years experience working with clients and delivering under tight deadlines. Prior experience with projects of similar size and scope. Ability to work independently and collaboratively in a team environment. Skills & Competencies Exceptional organizational and time management skills. Ability to manage stakeholder expectations and influence decisions. High attention to detail and commitment to quality. Strong leadership and team-building capabilities. Ability to adapt to changing priorities and work under pressure.$81k-113k yearly est. 4d agoData Scientist
Kellymitchell Group
Senior data scientist job in Irving, TX
Our client is seeking a Data Scientist to join their team! This position is located in Irving, Texas. Build, evaluate, and deploy models to identify and target customer segments for personalized experiences and marketing Design, run, and analyze A/B tests and other online experiments to measure the impact of new features, campaigns, and product changes Research, prototype, and develop AI solutions for personalized systems and customer segmentation Design and analyze online controlled experiments (A/B tests) to validate hypotheses and measure business impact Build, deploy, and analyze AI solutions; perform statistical experiments when deploying new AI products Desired Skills/Experience: Bachelor's Degree in Computer Science/Engineering/Math, or relevant experience 2+ years of experience with statistical data science techniques, feature engineering, and customer segmentation 2+ years of experience with SQL, PySpark, and Python 2+ years of experience training, evaluating, and deploying machine learning models 2+ years of experience productionizing and deploying ML workloads in AWS/Azure Experience working with MarTech platforms such as: CDPs, DMPs, ESPs and integrating data science into marketing workflows Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $115,000-$128,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.$115k-128k yearly 2d agoStaff Data Engineer - Ingestion & Modeling Lead
Collective Health
Senior data scientist job in Plano, TX
A technology-driven health benefits firm is seeking a Staff Data Engineer to lead the ingestion and modeling layer of their data platform. This role involves designing and optimizing data pipelines, mentoring a team, and collaborating across functions to deliver impactful data solutions. Ideal candidates should have over 12 years of data engineering experience, expertise in ELT pipelines and data modeling, and proficiency in SQL and at least one programming language. This is a hybrid position based in Lehi, UT. #J-18808-Ljbffr$81k-113k yearly est. 4d agoData Engineer
Robert Half
Senior data scientist job in Dallas, TX
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.$86k-121k yearly est. 4d agoData Engineer/Architect
Sigmoid
Senior data scientist job in Dallas, TX
Analytics: Sigmoid unlocks business value for Fortune 1000 companies through expert data engineering, data science, and AI consulting. We solve complex challenges for leaders in CPG, Retail, BFSI, and Life Sciences. With 10+ delivery centers in the USA, Canada, UK, Europe, Singapore, and India, we deliver cutting-edge data modernization and generative AI solutions. Join us to shape the future of data-driven innovation! Why Sigmoid? Inc. 500 Fastest-Growing Companies (4 years running) Deloitte Technology Fast 500 (4 years running) Top Employer: AIM's 50 Best Firms for Data Scientists Recently named British Data Awards Finalist & more accolades on the way! Accelerate your career with a fast-growing, innovative company. Apply now and be part of our award-winning team! Job Description: Responsibilities: Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with CIO, VP and Director level clients on a regular basis. Ability to understand business requirements and tie them to technology solutions Build a delivery plan with domain experts and stay on track Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies. Excellent experience in Application development and support, integration development and data management. Build team and manage it day to day basis Play the key role of hiring manager to build the future of Sigmoid. Guiding developers in day to day design and coding tasks, stepping in to code if needed. Define your team structure, Hire and train your team as needed Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid Hands on coder with good understanding on enterprise level code Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems Experience in defining technical requirements, data extraction, data transformation,automating jobs, productionizing jobs, and exploring new big datatechnologies within a Parallel Processing environment Culture Must be a strategic thinker with the ability to think unconventional / out:of:box. Analytical and data driven orientation. Raw intellect, talent and energy are critical. Entrepreneurial and Agile : understands the demands of a private, high growth company. Ability to be both a leader and hands on “doer. ” Facilitate in Technical Aspects Help Technical architects understand clients business constraints while drawing out architectures Build a business case around highly scalable and fault-tolerant distributed components designed by technical architects Lead integration effort onsite with the client technical teams Understand client acceptance criteria and emulate that for offshore technical teams Receive and monitor technical deliverables from the offshore team and present to client teams Qualifications: 5-10+ years track record of relevant work experience and a Computer Science or related technical discipline is required Dynamic leader who has directly managed team of highly competent developers in fast paced work environment Experience in Architecture and delivery of Enterprise scale applications. Preferred Qualification: Experience in agile methodology Development and support experience in Big Data domain Architecting, developing, implementing and maintaining Big Data solutions Experience with database modeling and development, data mining and warehousing. Experience with Hadoop ecosystem (HDFS, MapReduce, Hive, Impala, Spark, Kerberos, KAFKA, etc) Technical knowledge in Iceberg, Snowflake a plus.$83k-116k yearly est. 2d agoGCP Data Engineer/Lead
Dexian
Senior data scientist job in Irving, TX
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.$76k-103k yearly est. 2d agoAWS Data Engineer / Architect
Arkhya Tech. Inc.
Senior data scientist job in Dallas, TX
Hiring a AWS Data Engineer / Architect | Full Time || Onsite Title : AWS Data Engineer / Architect Job Type : Full time Experience 8-16 years of overall experience in Data Engineering / Data Architecture Role Summary We are looking for a hands-on Data Engineer / Data Architect with strong experience in data modeling, data warehouse development, and large-scale data migration projects on AWS. The ideal candidate should have real-world exposure to Snowflake, Databricks, Spark, and Hadoop, and be capable of designing and building end-to-end data pipelines. Key Responsibilities · Design and develop enterprise-level data models (conceptual, logical, physical) · Architect and implement AWS-based data platforms · Lead and execute data migration projects from on-prem / legacy systems to AWS · Build and optimize data warehouses and data lakes · Develop and maintain data pipelines for Snowflake · Hands-on development using Databricks & Spark · Work on batch and real-time data processing pipelines · Collaborate with business, analytics, and downstream reporting teams · Provide real-world implementation examples during discussions and design reviews Technical Skills (Must Have) · Strong experience in AWS (S3, Glue, Redshift/Athena, EMR - as applicable) · Snowflake - data modeling, performance tuning, pipeline development · Databricks - Spark, PySpark · Hadoop Ecosystem · Data Warehousing concepts (Star/Snowflake schema, fact & dimension modeling) · Data Migration Projects (end-to-end ownership preferred) · SQL & Python Good to Have · Experience in both Data Engineering (DE) & Data Analytics (DA) roles · Exposure to large-scale enterprise data transformation programs · Working knowledge of reporting/BI integrations$76k-103k yearly est. 1d agoData Engineer
Pyramid Consulting, Inc.
Senior data scientist job in Dallas, TX
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.$40-45 hourly 5d agoPrincipal Data Scientist
Servicelink
Senior data scientist job in Plano, TX
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.$72k-98k yearly est. Auto-Apply 60d+ agoPrincipal Data Scientist : Product to Market (P2M) Optimization
The Gap
Senior data scientist job in Coppell, TX
About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.$73k-104k yearly est. 51d agoData Scientist Associate Senior - Data Analytics Report Team
Jpmorganchase
Senior data scientist job in Plano, TX
Join our Data Analytics Reporting Team (DART) to build modular agentic components and ship production-ready AI features. You'll leverage Python, AWS, and leading agentic frameworks to automate workflows, scale securely, and deliver measurable business outcomes. As a Data Scientist Associate Sr within the Data Analytics Reporting Team at JPMorganChase, you will design, build, and maintain modular components for agentic systems that automate and orchestrate workflows across business platforms. You will own workstreams and Jira stories, delivering high-quality, scalable Python code and features within larger AI/ML initiatives. You will containerize and deploy solutions to cloud environments using Docker and infrastructure as code with Terraform, and collaborate closely with cross-functional partners to integrate agentic capabilities into existing systems. You will stay current on agentic frameworks such as LangGraph, Google ADK, and AutoGen, as well as LLMs and GenAI techniques including retrieval-augmented generation, applying them pragmatically to solve business problems. You will document designs, communicate progress and technical concepts to stakeholders, and uphold code quality, security, and compliance through testing and peer reviews. Exposure to Kubernetes and EKS, MLOps tooling, and core AWS services (S3, RDS, CloudFormation) will help you drive resilient, production-grade solutions aligned to business goals Job Responsibilities Build, test, and maintain modular components for agentic systems, enabling intelligent automation and orchestration within business platforms. Take ownership of individual workstreams and Jira stories, delivering high-quality code and features as part of larger AI/ML initiatives. Work closely with team members to integrate agentic capabilities into existing systems and support solution delivery. Containerize and deploy agentic system components on cloud platforms, following established DevOps and infrastructure-as-code practices. Stay current with advancements in agentic frameworks (e.g., LangGraph, Google ADK, AutoGen), LLMs, and GenAI, and apply these technologies to assigned tasks and features. Document design decisions, implementation details, and results; communicate progress and technical concepts to team members and stakeholders. Ensure code quality, security, and compliance through testing, peer reviews, and adherence to best practices Required Qualifications, Capabilities, and Skills Bachelor's degree with 3+ years' experience or Master's degree with 1+ year experience in a quantitative field (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Engineering). Hands-on experience developing and delivering agentic system components or autonomous AI features in production environments. Strong Python programming skills, with a focus on modular, scalable, and maintainable code. Experience with AWS cloud platform. Familiarity with agentic frameworks (LangGraph, Google ADK, AutoGen) and integrating AI capabilities into business processes. Ability to work collaboratively in agile, cross-functional teams and deliver on assigned workstreams. Excellent problem-solving, communication, and documentation skills. Exposure to agentic system design patterns, orchestration, and workflow automation. Preferred Qualifications, Capabilities, and Skills Experience with Large Language Models (LLMs), GenAI, and retrieval-augmented generation (RAG). Experience with distributed computing, cloud orchestration (Kubernetes, EKS), and MLOps tools. Financial services industry experience. Ability to design and evaluate autonomous system features aligned with business goals. Experience with additional cloud services (EKS, S3, RDS, CloudFormation). Experience with containerization (Docker), and infrastructure as code (Terraform). This role is 5 days a week in office full time. This role is not hybrid nor remote. This role is not eligible for any visa sponsorship or transfer support at this time.$102k-124k yearly est. Auto-Apply 5d agoSr. Data Scientist
DPR Construction
Senior data scientist job in Dallas, TX
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 ********************$88k-115k yearly est. Auto-Apply 52d agoData scientist
Tata Consulting Services
Senior data scientist job in Addison, TX
Technical and Functional Skills : Primary: Data science Secondary: Python, AI/ML/NLP, Agile tools Experience: 7 to 10+ Years * 7+ years of experience as Data Scientist or related roles * Bachelor's degree in Computer Science, or a related technical field * Deep understanding and some exposure to new Gen AI Open-source Models * At least 5 years programming experience in software development and Agile process * At least 5 years Python (or equivalent) programming experience to work with ML/NLP models. * Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization * Experience in ML/NLP development pipelines of large data sets, both structured unstructured * At least 2 years' experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing * Knowledge and hands-on experience working with OCR products * Master's degree in Computer Science/Data Science, or a related technical field * Collaborating with a diverse set of partners and stakeholders from various Line of Business. * Highly motivated, proactive and a self-starter; strong sense of ownership ability to create and execute plans without daily oversight * Critical thinker; ability to analyze problems and identify issues and provide solutions * Ability to navigate the enterprise data assets across multiple functions. * Highly organized. Effectively prioritizes and balances multiple efforts in a fast-paced environment * Excellent communication and Presentation skills * Analytical abilities, great problem solving, client focused Salary Range- $95,000-$120,000 a year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.$95k-120k yearly 8d agoData Scientist
Lantern
Senior data scientist job in Dallas, TX
At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners. Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society. Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large. As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results. As a Data Scientist, you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will have the opportunity to contribute to multiple projects and multiple phases of the solution life cycle including solution design and implementation. Key Responsibilities Experience in the full ML lifecycle - understanding, developing, deploying, and maintaining traditional data science solutions. Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks. Strong programming skills in Python or PySpark. Solid understanding of supervised + unsupervised learning algorithms and concepts. Experience with data preparation, feature engineering, and data engineering practices. Understanding of supervised + unsupervised learning algorithms and concepts. Experience in the optimization and tuning of machine learning solutions to handle large volumes of data. Outstanding verbal and written communication skills. Excellent presentation and whiteboarding skills. Experience communicating highly technical concepts to non-technical audiences. Experience collaborating with business stakeholders to understand business requirements and design AI solutions which meet those requirements. Skills, Knowledge and Expertise Bachelor's degree in computer science or related field Experience building solutions with Azure AI Services (OpenAI, Vision, Speech, etc.), Microsoft Fabric or Azure Data Factory. AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus Experience with GitHub or Azure DevOps Prior consulting and business development experience a plus.$48k-68k yearly est. Auto-Apply 60d+ agoData Scientist
Mastech Digital
Senior data scientist job in Irving, TX
Contract Type: W2 Only Job Title: Data Scientist We are seeking a mid-level Data Scientist to join our team and help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy machine learning models, design and analyze A/B tests, and translate business objectives into data-driven insights that directly influence marketing and product decisions. This role is ideal for someone who enjoys combining statistical rigor, applied machine learning, and business impact in a fast-paced, collaborative environment. Required Skills: Research, prototype, and develop AI/ML solutions for customer segmentation and personalization. Design, execute, and analyze online controlled experiments (A/B tests, multivariate tests) to validate hypotheses and measure business impact. Build, deploy, monitor, and analyze machine learning models in production environments. Apply statistical experimentation techniques when launching and iterating on AI-driven products. Partner closely with data, product, marketing, and engineering teams to align solutions with business goals. Translate complex analytical findings into clear, actionable insights for non-technical stakeholders. Stay current with emerging tools, frameworks, and best practices in data science and experimentation. Deliver high-quality work on time with a strong focus on research rigor, innovation, and engineering excellence. Demonstrate measurable impact through data science applied to marketing and personalization use cases. Basic Qualifications: 2+ years of experience in statistical data science, feature engineering, and customer segmentation. 2+ years of hands-on experience with Python, SQL, and PySpark. 2+ years of experience training, evaluating, and deploying machine learning models. 2+ years of experience productionizing ML workloads in AWS or Azure. Familiarity with containerized deployments using Docker and/or Kubernetes. Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience. Preferred Qualifications: Experience working with the Databricks platform. Experience building ML models using large-scale structured and unstructured data. Exposure to MarTech ecosystems, such as: Customer Data Platforms (CDPs); Data Management Platforms (DMPs); Email Service Providers (ESPs) Experience integrating data science solutions into marketing and personalization workflows.$73k-98k yearly est. 5d agoLead Data Science & AI Strategy for Growth
Varo Money, Inc.
Senior data scientist job in Dallas, TX
A digital banking company is seeking a Head of Data Science in Dallas, Texas. You will drive the data science roadmap, lead model development, and serve as a strategic consultant to stakeholders. The ideal candidate has over 8 years of experience in data science, particularly in financial services, and is proficient in Python and machine learning tools. A competitive salary of $250,000 to $300,000 is offered, along with bonuses and equity. #J-18808-Ljbffr$90k-112k yearly est. 4d agoStaff Data Engineer
Collective Health
Senior data scientist job in Plano, TX
At Collective Health, we're transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world‑class user experience design. The Data Engineering Platform team is responsible for building the foundational data systems that power Collective Health's operations and insights. Our team enables reliable, governed, and scalable data flows that support analytics, data science, and external reporting across the company. The Data Ingestion & Modeling team focuses specifically on transforming raw data into robust, trusted data warehouse models that serve as the single source of truth for downstream use. As a Staff Data Engineer, you'll lead the technical strategy and execution for the ingestion and modeling layer of our data platform. You will work hands‑on to design, build, and optimize data pipelines and dimensional models, while also setting technical direction and mentoring a small team of 2-4 data engineers. This is a key technical leadership role-not a people management role-that will shape how we transform raw data into clean, analytics‑ready datasets. You'll report to the Director of Data Engineering Platforms and work closely with peers across analytics, product, and operations to deliver data solutions that matter. What you'll do: Lead technical design and implementation of ingestion and transformation pipelines from various source systems into our centralized data warehouse. Develop, maintain, and evolve dimensional models (facts and dimensions) to support analytics, reporting, and data science. Partner with data analysts, product managers, and domain experts to ensure models are aligned with business needs and definitions. Review code, mentor teammates, and raise the bar on engineering quality and operational reliability. Own and improve the team's ELT workflows, including orchestration, testing, observability, and CI/CD practices. Drive consistency and reuse across domains through shared data modeling patterns, frameworks, and tools. Help prioritize technical debt and contribute to long‑term architecture decisions in collaboration with other data platform leads. To be successful in this role, you'll need: 12+ years of experience as a data engineer or analytics engineer, with deep experience designing and building data warehouse models. Expertise in modern ELT pipelines, data modeling (especially dimensional models), and warehouse technologies like Snowflake, Databricks, or BigQuery. Strong proficiency in SQL and at least one programming language (e.g., Python or Scala). Experience working with orchestration tools such as Airflow or DBT to manage pipeline workflows. A strong sense of data governance, data quality, and testing best practices. A collaborative mindset with the ability to influence and guide peers through technical leadership, not management. Experience in healthcare or other regulated data environments is a plus, but not required. Pay Transparency Statement This is a hybrid position based out of one of our offices: San Francisco, CA; Plano, TX; or Lehi, UT. Hybrid employees are expected to be in the office two days per week. Salary range: $194,670 - $243,500 USD (actual rate depends on location, qualifications, experience, and internal equity). In addition to the salary, you will be eligible for stock options and benefits like health insurance, 401(k), and paid time off. Learn more about our benefits at ******************************************** Why Join Us? Mission‑driven culture that values innovation, collaboration, and a commitment to excellence in healthcare. Impactful projects that shape the future of our organization. Opportunities for professional development through internal mobility, mentorship, and courses tailored to your interests. Flexible work arrangements and a supportive work‑life balance. We are an equal‑opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting‑accommodations@collectivehealth.com. #J-18808-Ljbffr$81k-113k yearly est. 4d ago
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Learn more about senior data scientist jobs
How much does a senior data scientist earn in Garland, TX?
The average senior data scientist in Garland, TX earns between $69,000 and $131,000 annually. This compares to the national average senior data scientist range of $90,000 to $170,000.
Average senior data scientist salary in Garland, TX
$95,000
What are the biggest employers of Senior Data Scientists in Garland, TX?
The biggest employers of Senior Data Scientists in Garland, TX are:
- JPMorgan Chase & Co.
- Tiger Analytics
- JPMC
- InfosysPublicService
- Insight Global
- Publicis Groupe
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