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Data scientist jobs in Temple, TX - 1,527 jobs
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Delivery Consultant - Data Architect, AWS Professional Services, AWS Professional Services, AWS Professional Services
Amazon
Data scientist job in Dallas, TX
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of Data & Analytics solutions with exceptional quality. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies. - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience Preferred Qualifications - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually USA, MA, Boston - 153,600.00 - 207,800.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually$107k-151k yearly est. 7d agoData Scientist
Mastech Digital
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. 1d agoData Scientist
Kellymitchell Group
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 and deploy AI/ML solutions that improve customer experience, enable innovative user experiences, and increase revenue Research, prototype, and develop AI solutions to build personalized systems Build, deploy and analyze AI solutions and perform statistical experiments when deploying new AI products Stay up to date with emerging technology and learn new technologies/libraries/frameworks Learn and partner with peers across multiple disciplines, such as data, product, and systems design Deliver on time with a high bar on quality of research, innovation and engineering Desired Skills/Experience: Bachelor's Degree in Computer Science/Engineering/Math, or relevant experience 4+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc. 4+ years of experience with SQL, PySpark and Python 4+ years of experience with productionizing and deploying ML workloads in AWS/Azure 2+ years of Azure Databricks Familiarity with containerized application tooling and deployments such as Docker and Kubernetes Experience working on customer data Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position is between $42.00 and $60.00. 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. At KellyMitchell, our culture is world class. We're movers and shakers! We don't mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell 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 at ****************************************************$42-60 hourly 1d agoPrincipal Data Consultant
Cotality
Data scientist job in Dallas, TX
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$77k-107k yearly est. 6d agoData Engineer
Robert Half
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. 5d agoData Analyst
Akkodis
Data scientist job in Austin, TX
Akkodis is seeking a Business Data Analyst for a Contract job with a client in Austin TX. Rate Range: $70/hour to $85/hour; The rate may be negotiable based on experience, education, geographic location, and other factors Top 3 Skills: SQL, Salesforce (preferred), GIS (preferred) Supplemental job description that isn't listed above: Your daily role involves writing SQL queries to extract data, managing program records in Salesforce, and visualizing project status via GIS tools. You possess an understanding of relational databases, geospatial analysis, and program lifecycle management to be successful in the role. Analyze complex operational datasets to identify trends, bottlenecks, and opportunities for program efficiency improvements. Build and maintain reporting dashboards to track Key Performance Indicators (KPIs) and present findings to leadership. Collaborate with cross-functional teams to ensure data integrity across internal databases and third-party systems. Support SFU Greenfield team for custom market support needs depending on what local leadership priorities are. Description: As a Business Analyst, you assist in the application of data driven insights to have an impact on business performance through business case development and business and industry trend analysis. As you work within one or more teams, you address conflicts between the goals and objectives of the stakeholders by understanding the nature of the problem and its underlying assumptions. You have the ability to research and effectively communicate business results and related findings to leadership by preparing presentations and identifying key takeaways. Responsibilities include: Execute tasks for implementing various internal and external integrations between business objectives and designing and building strategies that support these business systems. Conduct and review data-oriented analysis, architect metrics, synthesize information, solve problems, and influence business decision-making. Help drive the development of company-wide opportunities such as evaluating new market and product opportunities to drive cross-functional initiatives. Execute tasks for general support and analyses to leaders for ad-hoc data requests. Conduct strategic analysis, identifying, evaluating, and recommending ways to optimize business performance and deliver best-in-class execution within relevant PA, function, or sub-function with minimal guidance. Minimum role qualification requires proficiency in: Statistical Analysis Domain specific knowledge Data judgment Technical acumen Business operations knowledge Project management skills Industry knowledge Experimental design Data analysis and synthesis Dashboarding and presentation Storytelling Consultative skills Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinanc$70 hourly 1d agoData Engineer/Architect
Sigmoid
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: **5 Days work from Dallas Office ** No HYBRID 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 data technologies 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: 8-16+ 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. Lead and execute data migration projects, especially migrations to AWS Architect and develop data warehouses using modern cloud technologies Handle data project migrations from legacy systems (including Hadoop-based platforms) to cloud environments Work extensively with Snowflake and Databricks for data processing and analytics Preferred Qualification: 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) **5 Days work from Dallas Office ** No HYBRID$83k-116k yearly est. 1d agoData Analytics Engineer
Harnham
Data scientist job in Austin, TX
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$78k-106k yearly est. 3d agoData Engineer
Ragle Inc.
Data scientist job in North Richland Hills, TX
(2-3 Years Experience) (On-site) Salary Range: $90,000-$110,000 (based on experience) Company: Ragle Inc. Reports to: Data & Analytics Lead About the Role Ragle Inc. is expanding its Data & Analytics team and is seeking a hands-on Data Engineer with 2-3 years of industry experience to help centralize and modernize operational, accounting, and project data. In this role, you will design and operate production-grade data pipelines that connect our in-house platform, accounting systems, telematics, scheduling, estimating tools, Smartsheet, and third-party APIs. These pipelines will power analytics used daily by Operations, Accounting, Estimating, and Executive Leadership. What You'll Do Design, build, and maintain reliable data pipelines using SQL and Python Ingest data from Azure SQL databases, third-party APIs, and structured file sources (CSV/Excel) Help establish and maintain a centralized analytics data model (fact and dimension tables) Partner with analysts to support Power BI semantic models and improve dataset performance Implement data quality checks, logging, monitoring, and alerting Collaborate with business stakeholders to translate workflows into robust data products Contribute to version control, deployment, and data engineering standards (Git, environments) Support migrations away from manual Excel workflows toward automated, governed datasets Key Responsibilities Build ETL/ELT processes integrating operational, accounting/payroll, and fleet telematics data Optimize SQL queries, views, and table structures for analytics performance and incremental loads Maintain documentation for pipelines, datasets, schemas, and data contracts Assist with access control, governance, and data security best practices Troubleshoot refresh failures and performance bottlenecks across the data stack Required Qualifications 2-3 years of professional experience as a Data Engineer or Analytics Engineer Strong SQL skills (complex joins, CTEs, window functions, performance tuning) Hands-on Python experience for data processing (pandas, standard libraries) Experience with relational databases (SQL Server / Azure SQL, Postgres, or similar) Experience building and maintaining production data pipelines Understanding of data modeling concepts (star schema, keys, SCD basics) Familiarity with Power BI or similar BI tools Comfortable working directly with business stakeholders Preferred Qualifications Azure experience (Azure SQL, Data Factory, or Fabric Data Pipelines) REST API ingestion experience ERP or operational systems integration exposure Git-based workflows and basic CI/CD Construction or asset-heavy industry experience Desire to grow into Senior Data Engineer or Analytics Lead roles What Success Looks Like Stable, documented, and trusted data pipelines Reusable datasets replacing manual Excel workflows Analytics relied upon for daily decision-making Smooth onboarding of new systems and data sources A scalable data platform supporting company growth Why Join Ragle Inc. Real operational data with direct business impact High ownership and production responsibility Small team with leadership visibility Professional development and certification support Compensation & Benefits Competitive salary ($90,000-$110,000 based on experience), plus health, dental, and vision insurance, paid time off and holidays, and professional development support. Additional Information Ragle Inc. conducts professional reference checks as part of our standard hiring process. Ragle Inc. is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace and make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status in accordance with applicable laws.$90k-110k yearly 1d agoData Scientist (Level 3 or 4)
Northrop Grumman
Data scientist job in San Antonio, TX
Description not found in job posting.$65k-87k yearly est. 31d agoData Scientist
Shell Energy Solutions
Data scientist job in Houston, TX
Job Title: DATA SCIENTIST Job Code: SES407 At Shell Energy Solutions, we believe there's a better way to power your business. Aligned with Shell's ambition to be a significant global power business and to become net zero by 2050, our cleaner, affordable, and simple solutions help companies manage their energy spend and plan their sustainability roadmap - a fresh approach for environmentally conscious businesses that are looking to boost their sustainability credentials. We also have set out to deliver the very best experience to our customers across all our channels. Shell Energy Solutions' mission is to deliver cleaner energy solutions for a brighter tomorrow by guiding customers toward a better energy future, enabling customer choice, and providing market-leading energy solutions. Going above and beyond for our customers is what we're all about and we have set out to deliver the very best experience to our customers across all our channels. But bigger challenges lie ahead, and we need to keep moving forward. Are you ready to help us get there? WHERE YOU FIT IN We are looking for a highly motivated individual with a genuine interest in energy, technology, and a passion to deliver products for a growing company. As the Data Scientist, you will own the end-to-end pipeline for load forecasting, encompassing development, deployment, and integration with downstream services. You will engage in cross-functional projects, collaborating within our team and various teams across the organization to ensure seamless integration and alignment with business objectives. Your work will directly impact the company's ability to make informed decisions, optimize operations, mitigate risks, and drive business growth. Reporting to the Senior Machine Learning Engineer, the role requires a self-motivated, dedicated, and responsible individual with the ability to perform well under pressure. JOB DUTIES & RESPONSIBILITIES (Main RESPONSIBILITIES and duties) Dig deep into available data to identify patterns, create datasets for predictive models, and improve the accuracy and precision of existing forecasting services Apply state-of-the-art machine learning and predictive modeling techniques to provide a deeper understanding of our customers and improve accuracy of our load forecasts Integrate the outcomes of load forecasting models into downstream services, such as gross profit reporting, to address key business needs Develop key metrics and visualizations to monitor and assess the performance of load forecasts, ensuring their accuracy and reliability Communicate modeling and engineering technical detail to stakeholders and partners to drive impact and facilitate decision making Other duties as assigned ESSENTIAL SKILLS AND EXPERIENCE (Skills Needed to be SUCCESSFUL) Successful job applicants will be able to perform these functions. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions. 1-3 years of experience using SQL to query large datasets in cloud-based data warehouses and data lakes 1-3 years of experience with machine learning and statistical methods, bonus points if experience is in time-series forecasting 1-3 years of experience in machine learning development in Python Fluency with data visualization to communicate complex topics in approachable ways Strong background in mathematics and statistics Excellent communication skills, with the ability to deliver complicated findings and explain technical approaches to a variety of audiences Bonus if you have contextual work in the energy industry Bonus if you have experience with key data engineering frameworks: Apache Airflow, dbt, AWS services, Docker, Kubernetes Bonus if you have experience with software development lifecycle experience in GitHub (i.e. environment management, testing, deployment) Bonus if you have experience at a similar scale of data processing (Multi-TB/billion of rows) Bonus if you have experience with probabilistic modeling techniques such as Bayesian or conformal models Bonus if you have experience with machine learning frameworks: scikit-learn, Tensorflow/Keras, lifelines Bonus if you have experience with Hyper Parameter tuning frameworks such as Optuna Bonus if you have experience with cloud-based data intelligence platforms and ML tools such as Databricks, AWS Sagemaker, MLFlow Location and work SCHEDULE Remote Environment BENEFITS OF WORKING WITH Shell ENERGY Competitive Compensation Health Care - Medical/Dental/Vision/Prescription Drug Coverage 401(k) with Company Matching Contributions Flexible Spending Accounts (FSA) Health Savings Accounts (HSA) Disability Programs (STD & LTD) Employee Basic Term Life Insurance Generous Vacation & Company Holidays Flexible hybrid working schedule Training and coaching Tuition Reimbursement Paid Parental Leave And much more! SHELL ENERGY VALUES Shell Energy Solutions is a company with shared values. Honesty, integrity, and respect aren't simply a strapline; they are part of everything we do. What's more, Shell Energy Solutions is an equal opportunities company, and we place the highest possible value on the diversity of our people and our inclusive approach. Join us and you'll belong to a world where you are proud of your achievements and propel your career with global opportunities. We care deeply about fostering a truly diverse workplace. *Job descriptions are not intended as, nor should be construed to be, exhaustive lists of all responsibilities, skills, efforts, or working conditions associated with a job. They are intended to be accurate reflections of those principal job duties and responsibilities essential for making fair pay decisions about the job.$76k-110k yearly est. 60d+ agoData Scientist
Tata Consulting Services
Data scientist job in Addison, TX
⦁ Defines , creates and enhances database models for operational and reporting needs for specified domain. ⦁ Create , build, design database schemas to enable high throughput OLTP transactions ⦁ Code stored procs , packages, triggers using standard database patterns and ensure optimal performance and a secure codebase. ⦁ Troubleshoot and identify areas of improvement and recommend solutions to fix observed or potential issues with design, performance or security. ⦁ Ensures adherence to Enterprise data movement , quality and accountability standards in technology. ⦁ Conducts data driven analyses of usage of detailed data elements across the business domain to provide optimal data provisioning patterns across the application space. ⦁ Improving and streamlining processes regarding data flow and data quality to improve data accuracy, viability and value. Challenges data and information integrity. Works as a business partner that provides decision support to various LOB unit leaders. ⦁ Leads discussion in the ongoing development and operations of both operational data models and business intelligence architecture that enables fast real time access to data as well as fact-based decision making and ad hoc analysis and insight generation. ⦁ Operational Data Store modeling, design and development ⦁ Design and prototype new analyses, reports, applications and systems ⦁ Enhancing old processes and defining new ones ⦁ Data mining and producing novel reports for management ⦁ Works closely with Line of Business Client to develop and enhance SQL data base solution Salary Range- $125,000-$130,000 a year$125k-130k yearly 24d agoData Scientist
Lantern
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 7d agoCORP - Data Scientist
Lancesoft
Data scientist job in Houston, TX
Welcome to epicenter of personal power. We re driven by the idea of a smarter, cleaner, digitally-enhanced energy ecosystem and the possibilities that brings to the world and to the seven million customers we serve. Consumer s data scientists use a combination of technical and business skills to help brands achieve their financial and strategic objectives. A Data Scientist learns the job while performing hands-on analytics and modeling. Essential Duties/Responsibilities: Adhere to our culture of humility, curiosity, and impact Process data using Python, PySpark, and Databricks Develop models and dashboards Learn the job while performing hands-on analytics and modeling Help business partners make more profitable decisions based on customer and prospect insights Minimum Requirements: 0-3 years of experience in data analysis or related field Master s degree in a quantitative discipline or equivalent practical experience Experience with statistical software and database languages Preferred Qualifications: Experience using data science to improve customer experience and business profitability PhD in a quantitative discipline Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing Proficiency with version control Experience with reading and writing data in the cloud Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking$71k-96k yearly est. 23d agoPrincipal Data Scientist
Servicelink
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+ agoData Scientist
Mindlance
Data scientist job in Houston, TX
Mindlance Inc. is a national recruiting company which partners with many of the leading employers across the country. Feel free to check us out at ************************* Job Description Role: Data Scientist Location: Houston, Texas Role : 6 months Job Details: Must Have Skills (Top 2 technical skills only) Minimum 8 years of relevant experience in applying data mining, artificial intelligence, signal processing, machine learning, optimization etc. in business analytics or scientific/engineering settings Experience with statistical software, scripting languages, tools, and platforms (e.g., R, Python, Hadoop etc.) Nice to have skills (Top 2 only) A demonstrated ability to solve challenging business problems using a data science approach by developing novel and/or adapting existing computational methods Strong skills in communicating and presenting data-derived insights to non-technical audiences appropriately. Additional Information Thanks & Regards Praveen K. Paila ************$73k-101k yearly est. 60d+ agoData Scientist Lead
McLane
Data scientist job in Temple, TX
McLane is one of the largest and most stable supply chain services leaders in the United States. We've been at the forefront of delivering retail and restaurant solutions for convenience stores, mass merchants, drug stores, and chain restaurants for over 125 years. Our vision is to be an agile, innovative, and unified supply chain partner that delivers a superior customer experience, improves the lives of our teammates and community, and produces best-in-class returns. McLane Company seeking an experienced and highly analytical Senior Data Scientist with deep domain knowledge in Finance and Customer Profitability Modeling to join our growing data science team. In this role, you will lead the development of analytical models and tools that evaluate customer value, improve financial decision-making, and optimize pricing, contracts, and service strategies across the business. You will work cross-functionally with Finance, Sales, Commercial, and Technology teams to translate complex data into actionable insights that directly impact the bottom line. This is a hybrid position which will require the candidate to report and work from the office three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX. Benefits you can count on: Day 1 Benefits\: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance Paid holidays, earn vacation time, and sick leave accrual from day one. 401(k) Profit Sharing Plan after 90 days. Additional benefits\: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more! Essential Job Functions: Lead design and implementation of customer profitability models to assess margin contribution, lifetime value, and account-level economics. Develop and maintain predictive models using statistical and machine learning techniques (e.g., regression, clustering, decision trees, ensemble methods). Partner with Finance and Sales to create a customer segmentation framework based on financial contribution, cost-to-serve, risk, and growth potential. Analyze product, pricing, operational, and financial data to uncover drivers of profitability and identify margin improvement opportunities. Collaborate with BI and data engineering teams to ensure robust data pipelines and model deployment infrastructure. Build interactive dashboards and visualizations to support business users in scenario analysis and decision-making. Support pricing, promotion, and contract optimization initiatives through data-driven recommendations. Communicate findings and recommendations clearly to senior executives and non-technical stakeholders. Minimum Skills & Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Finance, Economics, or related field (PhD preferred). 7+ years of experience in data science or advanced analytics, preferably in finance or consulting environments. Proven experience building models for customer profitability, pricing strategy, or financial forecasting. Strong command of SQL and at least one programming language (PySpark, Python, R, or Scala). Expertise in machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow) and statistical modeling. Experience working with large-scale structured and unstructured data sets. Proficiency in data visualization tools (e.g., Power BI, Tableau, or similar). Strong business acumen and ability to translate complex analytics into financial impact Preferred Qualifications\: Prior experience in B2B or supply chain, logistics, or distribution industries. Exposure to activity-based costing (ABC) and financial margin analysis. Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and model deployment best practices. Experience with contract analytics or incentive modeling is a plus. Experience with packaged solutions for AI/ML, optimization and reporting such as Micrsoft Fabric, AI Foundry, Real Time Intelligence, Azure ML, and Power BI. High sense of curiosity with the ability to quickly adapt to recent technologies, tools, techniques, and comfortable dealing with ambiguity. Working Conditions: Office environment. Hybrid. Candidates may be subject to a background check and drug screen, in accordance with applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Moving America forward - together. We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture. Candidates may be subject to a background check and drug screen, in accordance with applicable laws. All applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. For our complete EEO and Pay Transparency statement, please visit https\://**********************************$84k-113k yearly est. Auto-Apply 60d+ agoPrincipal Data Scientist : Product to Market (P2M) Optimization
The Gap
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. 60d+ agoData Scientist
Victory
Data scientist job in Austin, TX
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$73k-101k yearly est. Auto-Apply 60d+ agoData Scientist, Product Analytics
Airtable
Data scientist job in Austin, TX
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. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ***************. Learn more about avoiding job scams here.$80k-117k yearly est. Auto-Apply 28d ago
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How much does a data scientist earn in Temple, TX?
The average data scientist in Temple, TX earns between $61,000 and $117,000 annually. This compares to the national average data scientist range of $75,000 to $148,000.
Average data scientist salary in Temple, TX
$85,000
What are the biggest employers of Data Scientists in Temple, TX?
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