Data engineer jobs in Texas City, TX - 728 jobs

We are seeking a Senior Data Architect to play a strategic, business-facing role in shaping how data is used across the organization. This role will be a key partner to Operations, Supply Chain, and Executive Leadership, helping the business fully leverage Power BI and Dynamics 365 F&O to drive insight, decision-making, and performance. The ideal candidate brings deep Supply Chain Management (SCM) knowledge, strong BI architecture expertise, and the ability to translate business questions into meaningful analytics. This is not a finance-centric role-the focus is on operational excellence, supply chain visibility, and business enablement. The business teams are relatively new to D365 F&O and Power BI, so the successful candidate will act as a guide, translator, and evangelist, helping users mature their analytical capabilities while setting a scalable BI foundation. Key Responsibilities Strategic & Business Partnership Act as the BI thought leader for the business, bridging the gap between operational teams, IT, and executive leadership Partner closely with Supply Chain, Manufacturing, Logistics, and Operations leaders to define meaningful KPIs and reporting needs Support C-suite reporting, turning complex data into clear, executive-level insights and narratives Help shape the BI roadmap and data strategy, aligned with business priorities and transformation initiatives Power BI & Analytics Enablement Lead the design, development, and governance of Power BI solutions across the organization Establish best practices for data models, semantic layers, dashboards, and self-service BI Drive adoption by coaching and enabling business users to effectively use Power BI Translate business questions into intuitive dashboards and actionable insights D365 F&O & Data Architecture Design and maintain a robust analytics architecture leveraging Dynamics 365 F&O data Develop deep understanding of SCM data domains: inventory, procurement, production, warehousing, demand planning, logistics Ensure data consistency, reliability, and scalability across reporting solutions Work with IT and partners on data pipelines, integrations, and performance optimization Leadership & Change Enablement Serve as a trusted advisor during BI and data-related initiatives Drive continuous improvement in how data is used to manage operations and performance Champion a data-driven culture across a business new to modern BI tools Required Experience & Skills Core Requirements 8+ years of experience in BI, data architecture, or analytics leadership roles Deep functional understanding of Supply Chain Management (SCM) in a manufacturing or industrial environment Strong experience with Power BI (data modeling, DAX, semantic models, governance) Hands-on experience working with Dynamics 365 Finance & Operations, particularly SCM modules Proven ability to work directly with senior business stakeholders and executives Business & Communication Skills Strong ability to translate business needs into technical BI solutions Comfortable educating and enabling non-technical users Executive-level communication and storytelling with data Pragmatic, business-first mindset (not overly technical or finance-driven) Nice to Have Experience with Azure Data Platform (Azure SQL, Synapse, Data Factory, Databricks) Experience designing enterprise KPI frameworks for operations and supply chain Background in organizations early in their Power BI or ERP maturity journey Exposure to data governance, master data, or analytics operating models

Job Title: Senior Full-Stack Golang Developer Company: Aarista/ Altea Healthcare IT Job Type: Full-Time Compensation Range: $110,000-$140,000 USD depending on experience Our mission is to improve outcomes for Chronic Care patients who are dependent on multiple daily medications. Our proprietary and vertically integrated EMR technology solutions enable providers to enhance medication adherence through improved access, owned physician network, information We are looking for a Senior Full-Stack Developer and Lead. This person will play a key role on the core development team that is working on supporting and building our next generation suite of products, Revenue Cycle Management system. As a member of our core development team, this person will contribute significantly to designing and implementing various product features. In addition to bringing their experience building using the Microsoft stack, this role will also require learning and implementing solutions using other technologies on an as needed basis. We are an exciting healthcare startup company, so we need someone that is agile since changes are expected. Your Role Support, design and develop RCM software covering the full stack Golang, React (TypeScript), Mongo DB, Azure data bricks and azure data lake Brainstorm with your team to conceptualize and build new features. Experience with the Azure-based infrastructure and help us to leverage cloud technologies to ensure we can scale in line with customer adoption. Partner with business analysts and other developers in order to fully understand product requirements and implement solutions which meet these requirements. Provide technical leadership including architecture design, coding, code review, practices and skills development. You You thrive in a team environment but can also work independently. You are passionate about using your technical knowledge and skills to solve real business problems and are motivated by understanding the value that your work adds. A self-starter that can manage their own workload and an ever-growing task list. A team player and leader. Problem solving of potential roadblocks which could potentially impact patient care, strategic, and technical goals of the business. Very proficient with server-side languages Golang Proficiency with front-end React, Typescript, Javascript Knowledge with Azure data bricks and data lake Workding knowledge of relational databases such as SQL Server, Azure SQL You are passionate about creating innovating and exciting new technology and want to provide end users with the best possible experience. Have experience with Software development Lifecycle (SDLC) including system requirements collection, architecture, design, development, testing, maintenance and enhancement across a variety of technologies. Skills Required Experience: Golang React Front End - Typescript and Javascript Mongo DB Azure data Azure data lake Mongo DB Solid web service: RESTful and SOAP Nice to have: MS SQL, Azure SQL (SQL Server) Data modeling, UML and Design Patterns Azure experience Job Types: Full-time Pay: $110,000-$140,000 USD depending on experience Schedule: Full Time

Sagis Diagnostics is an entirely physician-led sub-specialty pathology group supported by a CAP-accredited histology lab located in the heart of Houston, Texas. Led by a team of board-certified pathologists, our lab is at the forefront of diagnostic science. We offer the highest quality services to physicians, physician groups, ambulatory surgery centers, and hospitals. One of our many strengths is we develop strong collaborative relationships with each of our referring physicians by offering accurate, prompt, and clear diagnoses in a personal and customized manner. Senior Backend Software Engineer- Must live in the Greater Houston area or in Texas and open to relocation. Overview We're building the next generation of our technology infrastructure by connecting our diverse systems through robust APIs and custom integrations. As a growing organization with mature data infrastructure, we need a strong backend developer who can architect and build the critical connections between our existing platforms and modern applications, including AI integrations. Position Summary You'll focus on developing sophisticated custom APIs, backend services, and integrations from scratch. While you'll work within the Microsoft ecosystem and leverage low-code tools like Power Apps when appropriate, the core of this role is custom software development and system integration. Key Responsibilities Build robust backend systems using C#/.NET, Python, and Azure services to support business applications and data access across multiple platforms Design and develop REST APIs that connect front-end applications, AI systems, and third-party platforms to our existing data infrastructure, working closely with our data engineering team Architect custom integrations between disparate systems, ensuring secure and reliable data flow between platforms and services Develop automation scripts and tools from scratch to improve data transfers, business processes, and operational efficiency Leverage Microsoft ecosystem tools including Power Apps, Power Automate, Azure Logic Apps, and Copilot Studio for rapid development and business process automation when appropriate Integrate AI tools for development productivity and explore opportunities for AI integration in our applications Collaborate with cross-functional teams including front-end developers, data analysts, and business stakeholders to deliver complete solutions Mentor team members and establish best practices as we grow our development team Drive technical decisions around architecture, tools, and implementation approaches for our technology ecosystem Required Experience & Qualifications 5+ years of backend development experience with strong expertise in C#/.NET, Python, or similar backend languages Proven API development experience building REST APIs, handling authentication, and integrating with databases and third-party services Experience with cloud platforms, preferably Azure, including deployment, monitoring, and scaling of applications 3+ years working with Microsoft technologies, including Azure services (Azure Functions, Logic Apps, Service Bus, etc.) Strong problem-solving skills and ability to work independently on complex technical challenges connecting diverse systems Experience building custom scripts and automation tools from scratch Excellent communication skills for collaborating with technical and non-technical team members Preferred Experience with platform migrations or technology transitions in enterprise environments Familiarity with low-code platforms (Microsoft Power Platform, Zoho Creator, or similar) as supplementary tools Knowledge of DevOps practices and CI/CD pipelines Experience with data integration patterns and working with existing data infrastructure Experience mentoring developers or leading technical initiatives Interest in AI technologies and experience using AI tools to enhance development productivity At Sagis, we offer: Medical, Dental, and Vision Insurance Company-Paid Short-term and Long-term Disability, Basic Life, EAP Voluntary Accident/Critical Illness/Life insurance Fair Wages 401(k) Contribution Vacation Paid Parental Leave Floating Holidays Scheduled Holidays Comfortable work environment Wellness Initiatives Tuition Assistance Job Training/Career Development Great Team Leaders Join our team and help build the backbone of our technology platform, creating the APIs and backend systems that will power our applications and integrations for years to come.

Job DescriptionOnsite | Houston, TX Contract | $90/hour Head-huntress.com is partnering with a reputable energy-sector organization to identify an experienced Business Data Scientist III to support commercial systems, analytics, and regulatory-facing platforms in a highly regulated oil & gas environment. What You'll Do Support and enhance mission-critical commercial systems Act as a business liaison between Commercial, IT, Regulatory, and Operations teams Lead system initiatives from requirements through implementation and post-launch support Analyze historical and operational data to support commercial and market decisions Ensure Electronic Bulletin Board (EBB) systems remain compliant with regulatory standards Develop dashboards and analytics using Excel and Power BI *Note!No visa sponsorship available No relocation assistance provided RequirementsWhat We're Looking For 6+ years of experience in the oil & gas / energy industry Strong knowledge of scheduling and contracting processes (pre-flow, flow, post-flow) Advanced Excel and Power BI experience Hands-on experience with Electronic Bulletin Board (EBB) systems Bachelor's degree required; Master's degree preferred Ability to work full-time onsite in Houston, TX BenefitsCompetitive hourly pay and the opportunity to work on complex, high-visibility systems in the energy sector. Benefits, if any, are determined by the engagement structure.

You must be able to work in the U.S. without sponsorship. No C2C or 3rd parties, please. Business Data Scientist Houston, TX | On-site $89/hour - $92/hour Contract Act fast - this role closes Friday, 1/9/26 at 2:00 PM Eastern. We're seeking a Business Data Scientist to sit at the center of commercial, IT, and analytics teams in a fast-moving energy environment. This is a highly visible role for someone who enjoys owning data-driven initiatives and driving real business impact. What you'll do: * Serve as the business lead and primary interface between customers and IT * Lead system and analytics projects from requirements through testing and implementation * Build prototypes, models, and data-driven insights to support commercial decision-making * Drive collaboration across commercial, regulatory, and operations teams * Own EBB and data visualization/analytics enhancements with a focus on compliance and efficiency * Support revenue forecasting and monthly stakeholder reporting What we're looking for: * Bachelor's degree (Master's preferred) * 6+ years in oil & gas or energy * Strong data, analytics, and stakeholder leadership skills * Advanced Excel and/or Power BI experience * Working knowledge of databases and statistical analysis * Machine learning exposure is a plus Posting closes promptly Friday, 1/9/26 at 2:00 PM Eastern. Apply now if interested.

Job DescriptionBenefits: 401(k) Competitive salary Dental insurance Health insurance Paid time off A Lead Data Scientist is responsible for managing data science projects, leading a team, and utilizing advanced analytics to drive business decisions and product improvements. Key Responsibilities Team Management: Lead and mentor a team of data scientists, machine learning engineers, and big data specialists to foster professional growth and collaboration. Project Planning: Oversee the planning and execution of data science projects, ensuring alignment with organizational goals and objectives. Model Development: Build and optimize analytical models using machine learning, natural language processing, and statistical techniques to derive insights from large datasets. Data Analysis: Analyze various data sources, including procurement, supply chain, and healthcare data, to inform business strategies and product development. Problem Solving: Identify and address data development challenges, proposing innovative solutions to enhance data utilization across the organization. Methodology Development: Lead the development and maintenance of methodologies that support product offerings, including statistical modeling and time-series analysis. Stakeholder Collaboration: Work closely with business leaders and other departments to communicate analytical findings and drive data-driven decision-making. Required Skills and Qualifications Educational Background: Typically requires a Masters or Ph.D. in Statistics, Computer Science, Mathematics, or a related field. Technical Expertise: Proficiency in data manipulation, visualization, and machine learning techniques, with experience in programming languages such as Python, R, or SQL. Analytical Skills: Strong problem-solving abilities and a knack for statistical analysis to interpret complex data sets effectively. Leadership Skills: Experience in managing teams and projects, with the ability to mentor junior data scientists and foster a collaborative environment. Communication Skills: Excellent verbal and written communication skills to convey complex analytical concepts to non-technical stakeholders. Salary Expectations $125,000 - $140,000

Role: Data Scientist 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 ************

Department: Data Science and Analytics Contract Months:12 Salary Range: $90,000.00 - $110,000.00 Academic Year: 25-26 The Cross-Functional Team Member for Data Science and Analytics oversees the team's efforts in advanced data analysis, survey design, and repo1ting to support Houston ISD's strategic goals within the Office of Academics. This role ensures high-quality insights, drives data-informed decision-making, and delivers solutions that optimize operations and improve outcomes for students, families, and staff. MAJOR DUTIES & RESPONSIBILITIES * Manages and executes data projects, including advanced data analysis, survey design, and reporting, by coordinating workflows, setting timelines, and ensuring timely and high-quality deliverables. * Supervises team members by providing clear guidance, monitoring progress, and fostering a collaborative and innovative work environment to achieve project goals and support professional growth. * Collaborates with stakeholders and cross-functional teams to identify data needs, define project goals, and deliver impactful solutions that align with district priorities and address key challenges. * Leads and executes advanced analytical tasks, including building models, dashboards, and statistical analyses, serving as the team's technical expert in tools like Excel, R, Python, and Power Bl. MAJOR DUTIES & RESPONSIBILITIES CONTINUED * Ensures the quality and accuracy of alt deliverables, including documentation, methodologies, and reports, to support transparency, reproducibility, and effective decision-making. * Serves as a trusted advisor to the data director by offering analytical expertise, proposing innovative methodologies, and aligning team efforts with strategic goals. Leads the adoption of advanced tools and techniques to ensure the team delivers impactful, data-driven solutions that address district-wide challenges. * Other duties as assigned. EDUCATION Bachelor's Degree * Applicants who do not meet these education qualifications may be considered if they have a unique combination of education and work experience that indicate potential for success in this role. WORK EXPERIENCE At least 3 years working in the district/central office of a large urban school district. * Applicants who do not meet these education qualifications may be considered if they have a unique combination of education and work experience that indicate potential for success in this role. SKILL AND/OR REQUIRED LICENSING/CERTIFICATION Microsoft Office SAP Must possess expertise in Excel, R, Python, and Power BI for data analysis and visualization, as well as an advanced understanding of statistical analysis, predictive modeling, and machine learning techniques. Proficiency in designing and analyzing surveys using tools like Qualtrics and familiarity with data manipulation and integration using SQL and Power Que1y are essential. Experience with spatial analysis and visualization techniques is also required. This role demands strong leadership skills to guide and mentor a team of data professionals, along with project management expertise to oversee complex data analysis projects. Analytical problem-solving abilities, attention to detail, and excellent written and verbal communication skills are essential for conveying complex findings to non- technical stakeholders LEADERSHIP RESPONSIBILITIES Manages. Accomplishes the majority of work objectives through the management of direct reports. Provides day-to-day direction to staff; may become directly involved, as required, to meet schedules and resolve problems. Responsible for assigning work, meeting completion dates, interpreting and ensuring application of policies and procedures. Receives assignments in the form of objectives, with goals and the process by which to meet goals. Provides input to hiring, performance and budget. WORK COMPLEXITY/INDEPENDENT JUDGMENT Work involves the application of moderately complex procedures and tasks that are quite varied. Independent judgment is often required to select and apply the most appropriate of available resources. Ongoing supervision is provided on an "as needed" basis. BUDGET AUTHORITY Complies and organizes data and figures. PROBLEM SOLVING Decisions are made with greater freedom and discretion, including recommendations that are subject to approval on matters that may affect multiple departments across HISD. Job is frequently expected to recommend new solutions to problems, to improve existing methods/procedures/services and generate new ideas. May also review decisions made by other individuals on more routine matters. IMPACT OF DECISIONS Decisions have considerable impact to multiple divisions or the organization causing risks or improvements to relationships, significant efficiencies, or delays in operations, and/or significant financial gains or expenses. Errors are serious and difficult to discover, normally involve decisions not subject to detailed review and will result in excessive costs and/or significant project delays. COMMUNICATION/INTERACTIONS Collaborate and solve problems - works with others to resolve problems, clarify or interpret complex information/policies, and provide initial screening/negotiations without approval authority. Interactions are typically with customers, senior level professional staff, and managers. CUSTOMER RELATIONSHIPS Regularly assesses and diffuses complex, and escalated customer issues. Takes personal responsibility and accountability for solving systemic customer service problems. Regularly explores alternative and creative solutions to meeting the needs of the customer within HISD's policies and guidelines. WORKING/ENVIRONMENTAL CONDITIONS Work is normally performed in a typical interior work environment which does not subject the employee toany hazardous or unpleasant elements. Ability to carry and/or lift less than 15 pounds Houston Independent School District is an equal opportunity employer.

Welcome to ConocoPhillips, where innovation and excellence create a platform for opportunity and growth. Come realize your full potential here. Who We Are We are one of the world's largest independent exploration and production companies, based on proved reserves and production of liquids and natural gas. With operations and activities in 13 countries, we explore for, develop, and produce crude oil and natural gas globally. We are challenged with an important job to safely find and deliver energy to the world. Our employees are critical to our success, and with them we power civilization. We're grounded by our SPIRIT Values - safety, people, integrity, responsibility, innovation, and teamwork. These values position us to deliver strong performance in a dynamic business - but not at all costs. We believe it's not just what we do - it's how we do it - that sets us apart. Fostering an Inclusive Work Environment To deliver superior performance, we create an environment that respects the contributions and differences of every individual. Wherever possible, we use these differences to drive competitive business advantage, personal growth and, ultimately, create business success. Job Summary We are seeking a highly skilled and experienced IT Sr. Data Engineer, Commercial to join our team. Reporting to the IT Supervisor, Commercial Data, this role will be responsible for building data pipelines from source systems and external data providers into the data management and analytics environments with validation to allow creation and operations of analytical solutions and Commercial models. The Commercial organization is going through transformation initiatives moving from ETRM-centric to data-centric architectural design and implementing new tech strategies including new ETRM systems. The initial focus of this role will be building/enhancing Commercial analytics data ingestion pipelines for Commercial models and supporting the Commercial Transformation initiatives. The IT Sr. Data Engineer, Commercial will be part of a team of data architects, a data governance analyst and data engineers responsible for implementing Commercial data pipelines while ensuring a high level of data quality based on corporate and industry standards. The team will also be responsible for developing and enforcing standards for data management and implementing data technology solutions for structured and unstructured datasets as well as data catalogs and data lineage to enhance visibility and access to data for Commercial groups. This role will work closely with Corporate IT operational support managed services team, database administrators, analytics architect, and IT infrastructure support to ensure system availability and timely issue resolution. This role will be proficient at integrating and preparing large, varied datasets including time series data and designing specialized database tables and information links within the environment. The person will work closely with Commercial data/quant analysts, data scientists, model owners, project/program managers, data architects, and the data governance analyst to provide clean and reliable data. This role requires a strong and current technology focus, practical analytical experience, and excellent written and communications skills. Position Overview Your responsibilities may include: Design and develop robust data pipelines, ETL/ELT processes, and workflow orchestration systems to automate data ingestion, transformation, and distribution across multiple platforms for Commercial Build and maintain scalable data infrastructure including data warehouses, data lakes, and streaming systems that support high-volume data processing and analytics workloads Implement data quality validation, monitoring frameworks, and error handling mechanisms to ensure reliable data delivery and maintain system performance standards Collaborate with data architects and analysts to translate business requirements into technical specifications for data processing solutions and system enhancements Optimize data processing performance through query tuning, indexing strategies, and resource management to support efficient analytics and operational reporting Establish data security protocols, access controls, and backup procedures to protect sensitive information and ensure business continuity for critical data systems Monitor system health, troubleshoot data pipeline failures, and implement automated recovery procedures to maintain operational reliability and minimize downtime Collaborate with business subject matter experts and data scientists to create datasets and engineer features for analytical models Monitor Commercial trading analytics models performance Adhere to ConocoPhillips' governance and compliance policies for data and processes Collaborate with Data Architect to develop and evaluate design options to ingest and catalogue real-time, structured, and unstructured datasets into Data Management environments per Commercial business priorities and use cases Cultivate relationships with peer Data Management groups to ensure alignment, compliance and long-term sustainability of our Commercial digital assets Proactively identify opportunities for automation and continuous improvements Stays current with the latest trends, technologies, and best practices in data management and data engineering Participate in and support Agile quarterly planning for the team. Expertise in optimizing queries and performance by establishing standards to minimize system workload and costs Basic/Required: Legally authorized to work in the United States Bachelor's degree or higher in Computer Science, Math, Engineering, Statistics, Information Systems, Information Science, or related fields 10 or more years of hands-on experience in designing, scaling and implementing data pipelines for structured and non-structured data into cloud-based data platforms 10 or more years of experience in data engineering in an enterprise environment with demonstrated strength in SQL, data modeling, ETL development, and data warehousing 10 or more years of Experience with an RDBMS (Oracle, PostgreSQL) 7 or more years of experience with practical programming skills including advanced knowledge of Python 5 or more years of experience of modern cloud-based data platform technologies e.g., Snowflake, ADLS, Data Bricks 5 or more years of experience with data visualization/analytics tools (Spotfire, Power BI, Sigma) advanced Excel skills Preferred: MS Degree in Computer Science, Math, Engineering, Statistics, Information Systems, Information Science, or related fields 5 or more years of Energy industry and Commercial experience 5 or more years of Experience with Cloud DevOps (Azure, AWS Cloud Formation Terraform) and Infrastructure as Code (IaC) Experience with handling Commercial operational and trading analytics data Experience with data engineering and data analytics tool set such as Airflow, Streamlit, UiPath, Document AI, etc. Hands on experience and proficiency in Data Management tools - SQL, SDE, JSON, XML, scripting languages such as Python Big Data technology stack including NoSQL, Spark, Hive, Kafka, StreamSets, IICS, ADF etc. Intermediate level of knowledge one or more programming languages (R, C++, Java, Perl, Spark) Work across structured, semi-structured, and unstructured data, with strong technical experience in large distributed systems, data warehousing, data lake at scale Comprehensive knowledge of Data Management principles, processes and data lifecycle Advanced knowledge of master data management, real-time streaming data and cloud technologies Understanding of Data Science and related technologies Excellent verbal and written presentation skills, with the ability to communicate clearly and persuasively An understanding of project processes and methodology to support project management initiatives and delivery Team player, and self-driven individual who can multi-task, work independently under minimal supervision and deliver on commitments Open attitude towards and ability to learn and utilize new technologies and standards Ability to take ownership, engage, lead change, achieve results, adapt, solve problems, manage risk and drive tasks to completion Demonstrated ability to deal with ambiguity and maintain effective performance under stressful and uncertain conditions Excellent analytical mind and proven problem-solving skills Project Management skills Delivers positive results through realistic planning to accomplish goals Builds effective solutions based on available information and makes timely decisions that are safe and ethical Apply By: Jan 19, 2026 Sponsorship: ConocoPhillips' sponsorship for employment authorization in the U.S. is NOT available for this position. EEO: In the US, ConocoPhillips is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity or expression, genetic information, or any other legally protected status.

MINIMUM QUALIFICATIONS Education: Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Master's Degree in Data Science preferred. Licenses\/Certifications: (None) Experience \/ Knowledge \/ Skills: Seven (7) years of experience in data science is required Professional experience in hospital setting, medical informatics, healthcare information technology\/finance\/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required Possesses deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real\-world advantages\/drawbacks Proficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Ability to communicate, gather requirements and execute storytelling with data Possesses advanced level knowledge of the data science project life cycle Proficient programming skills in addition to a working knowledge and experience of statistical analysis tools Demonstrates proficiency in problem solving, analytical reasoning and decision\-making skills Demonstrates proficiency in identifying and seeking needed information to perform problem\/situation analysis Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem\-solving mentality working with large, complex and incomplete sources Exhibits strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines Advanced understanding of SQL database management tools Exceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non\-technical audiences Ability to work under minimal supervision in a fast\-paced multidisciplinary environment Advanced knowledge of data science methods - time series forecasting, linear regression, A\/B testing, statistical testing, Clustering, etc. Superior customer service in the form of first\-rate work products and project management Strong ability to manage challenging client situations Strong ability to troubleshoot and recommend solutions Strong ability to translate complex information for a wide range of stakeholders PRINCIPAL ACCOUNTABILITIES Leads high priority projects that impact the organization. Leads complex issues and problems, and refers more complex issues to higher\-level staff. Provides technical supervision\/mentoring to other data scientists and trains the broader audience on data science developments. Provides leadership, coaching, and\/or mentoring to subordinate group. Develops custom data models and algorithms to apply to data sets. Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions. Provides findings and analysis for use in decision making. Performs research, analysis, and modeling on organizational data. Maintains existing models and evaluates their goodness of fit. Provides in\-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining\/visualization and pattern analysis tools. Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams. Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes. Assists with the evaluation of data science vendors and tools. Ensures safe care to patients, staff and visitors; adheres to all **** policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service. Promotes individual professional growth and development by meeting requirements for mandatory\/continuing education and skills competency; supports department\-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff. Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Companservice standards by providing safe, caring, personalized and efficient experiences to patients and colleagues. Other duties as assigned. 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Job Title: Data Scientist Department: Purchasing Reports To: COO Employment Type: Full-time We are seeking a highly skilled and analytical Data Scientist to join our Purchasing Department. The successful candidate will leverage data analytics, machine learning, and statistical modeling to optimize procurement processes, forecast demand, and enhance supply chain efficiency. This role requires strong data management skills and collaboration with cross-functional teams to drive data-driven decision-making and cost reduction initiatives. Key Responsibilities:Data Analysis & Reporting: Develop predictive models to forecast demand, optimize inventory levels, and reduce procurement costs. Analyze historical purchasing data to identify trends, inefficiencies, and opportunities for cost savings. Build and maintain data pipelines and dashboards to monitor supplier performance, lead times, and pricing trends. Generate actionable insights and reports for senior management to support strategic decision-making. Machine Learning & Process Optimization: Implement machine learning algorithms to enhance supplier selection and risk assessment. Work with procurement teams to develop data-driven negotiation strategies and supplier recommendations. Automate data collection, cleaning, and reporting processes for improved efficiency. Utilize statistical analysis to assess market trends, raw material costs, and external factors affecting purchasing decisions. Collaboration & System Integration: Work closely with IT and supply chain teams to integrate data solutions with existing ERP and procurement systems. Support cross-functional teams including procurement, inventory management, and supplier relations to ensure smooth data utilization. Qualifications:Education & Experience: Bachelor's degree in Data Science, Statistics, Computer Science, Supply Chain Management, or a related field. At least 2-4 years of experience in data analysis, machine learning, or procurement analytics. Proven experience in data modeling, with strong expertise in statistical analysis and predictive analytics. Skills & Competencies: Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis. Experience with data visualization tools (e.g., Tableau, Power BI) to present insights effectively. Strong problem-solving and critical-thinking abilities. Excellent communication and interpersonal skills for cross-functional collaboration. Detail-oriented with strong organizational skills and the ability to manage multiple priorities. Preferred: Experience with ERP systems (e.g., SAP, Oracle) and procurement analytics tools. Knowledge of machine learning frameworks and process improvement methodologies (e.g., Lean, Six Sigma). Job Details: Work Schedule: Mon-Fri: 8:00 AM - 5:30 PM Sat: 8:00 AM - 3:00 PM Employee Benefits: Health Benefits: Medical, Vision, and dental coverage (details provided after the initial period). 401k: Eligibility after six months. Paid Time Off: Accrued on a pro-rata basis. Additional Benefits: Employee discounts Accidental, Critical, & Hospital Indemnity Insurance Short & Long Term Disability Insurance Term Life Insurance PAYACTIV Paid Holidays (6 days): New Year's Day Memorial Day Independence Day Labor Day Thanksgiving Day Christmas Day

The Associate Data Scientist's primary responsibility will be to assist in the computational analysis of spatial single-cell transcriptomic and proteomic data from patient tumors generated from platforms such as CosMx Spatial Molecular Imager. Analyses will involve identifying spatially localized cellular niches, characterizing immune and epithelial cell states, modeling cell-cell communication, and uncovering pathways through which host-microbe interactions influence tumor biology. The ideal candidate will have experience in cancer biology omics. At MD Anderson, we offer careers built on care, growth, and balance. Our employees enjoy a benefits package designed to support every stage of life, starting on day one. · Paid employee medical benefits (zero premium) starting on first day for employees who work 30 or more hours per week · Group Dental, Vision, Life, AD&D and Disability coverage · Paid time off (PTO) and Extended Illness Bank (EIB) paid leave accruals · Paid institutional holidays, wellness leave, childcare leave, and other paid leave programs · Tuition Assistance Program after six months of service · Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans · Employer paid life, AD&D and an illness-related reduced salary pay program · Extensive wellness, recognition, fitness, employee health programs and employee resource groups Key Functions 1. Analyzation and Integration Single-Cell and Spatial Omics Data Process and interpret single-cell RNA-seq and spatial proteomic and transcriptomic datasets to identify cellular states and tumor microenvironment features. Integrate multimodal data from platforms such as CosMx, MIBI, STOmics or GeoMx to uncover spatial niches and model cell-cell and host-microbe interactions. Apply analytical methods including clustering, differential expression, trajectory inference, and spatial proximity analyses. 2. Computational Pipelines for Biological Insight Development Build, document, and maintain reproducible analysis pipelines in Python and R for high-dimensional omics datasets. Conduct pathway enrichment and network-based analyses to identify biologically relevant trends in cancer and immune responses. Generate publication-ready visualizations and figures that communicate key findings for manuscripts, grants, and presentations. 3. Collaborate, Communicate, and Document Research Outputs Partner with interdisciplinary team members to interpret data, support experimental planning, and contribute to scientific publications. Present analytical results in lab meetings and project discussions to inform ongoing research directions. Maintain well-organized code, metadata, and supplementary materials to support reproducibility and data sharing. Education Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. Experience Required: Two years experience in scientific software or industry development/analysis. Preferred: Knowledge of transcriptomics and proteomics is a plus The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.************************************************************************************************ Additional Information

Job Title: Data Scientist The Chord Energy Data Scientist role is a technical individual contributor role, focused on supporting business opportunities through the use of exploratory data analytics, machine learning models and generative AI opportunities. This position is located in Downtown Houston, TX. Hybrid work schedule is an option for remote work on Mondays and Fridays. Level and salary commensurate with experience. Essential Job Functions The primary responsibility involves leading and participating in multi-disciplinary projects aimed at providing business solutions to a diverse set of problems ranging from, but not limited to, production automation/optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations. Additionally, the Data Scientist will contribute to the adoption of new technologies and best practices for analytical workflows. The ability to work well in a team and in support of core business functions will be critical to the success of this role. This job description is not intended to be an all-inclusive list of duties and responsibilities of the position. Incumbents will be required to follow any other job-related instructions and duties outside of their normal responsibilities as assigned by their supervisor. Minimum Qualifications * Master's or Bachelor's degree in Data Science, Computer Science, or related field * 5+ years in data science/ML (including time-series, geospatial, and predictive modeling) * Proven experience and/or education in data analytics and management of large datasets * Proficiency in Python (pandas, scikit-learn) and SQL; experience with Azure ML/MLflow and deploying models to production. * Domain familiarity with upstream oil & gas workflows (subsurface and operations) and the ability to translate expert knowledge into features and experiments. * Strong interpersonal and collaborative skills * Demonstrated ability to work in a team-oriented environment * Excellent presentation skills * Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company * Strong coaching, prioritization, and stakeholder-management skills; able to convert business problems into robust, scalable model solutions and communicate outcomes clearly. * Ability to meet deadlines * Physical Requirements and Working Conditions: Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer, stamina to maintain attention to detail despite interruptions, strength to lift and carry files weighing up to 10 pounds; vision to read printed materials and a computer screen, and hearing and speech to communicate in person and over the telephone The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Preferred Qualifications * Master's degree or PHD or certification in Data Science or Data Analytics * Familiarity with additional programming languages (SQL, R, C++, etc.) * Previous Oil and Gas operator experience * Exposure to Petroleum Engineering and Geoscience workflows * Exposure to the energy sector, particularly unconventional exploitation programs This role presents an exciting opportunity for a data scientist to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes. EEO Statement: Chord Energy does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Job DescriptionOur client is seeking to add a Business Data Scientist to their team.& Key Responsibilities: • (TGOM Only) Provide 24-hour 365 day internal/external customer support. Provides support to internal and external customers, working with IT to identify system-related issues and functions as a project lead to organize and develop project requirements, develop and complete testing plans, and follow-up on any fall-out after project implementation Proper support should work as a firewall between the customers and IT to verify that issues are indeed system related. Identified defects should be logged, tracked, tested and delivered in accordance with its customer impact and compliance risk • Drives collaboration between all commercial areas, IT, and rates regulatory, acting as a go-between to provide solutions for all groups that interact, directly or indirectly, with the system(s). Provides support for the creation and implementation of business processes, workflow, technology solutions and technology frameworks • Design and develop prototypes and proof of concepts for modelling, data mining, and production purposes. • Support, design, develop, test and implement tools for Marketing Services Reps (G P - Distribution, Commercial, and Commodity Ops) to analyze historical data for data inquiries, customer focus, market orientation, process and tariff (TGOM only) efficiencies and predict future behaviour of customers to drive commercial decisions. TGOM Ensures the EBB (proprietary and public) operates in compliance with all regulations using standard methodologies with an eye toward continuous improvement. Completes all EBB changes needed to ensure continued growth of Williams, including working closely with Business Development, Marketing Services, and Corporate Strategic Development to ensure that all expansion project requirements are detailed far in advance of the project's in-service date • Act as a change agent and assist in the development of processes and procedures to assist the team in finding efficiencies by learning to become a Subject Matter Expert (SME) for functional areas of the system • Act as the business lead for all EBB and data visualization and analytics modifications and enhancements. Function as a team leader to organize/develop project requirements, provide quality construction guidelines, develop and execute testing plans, and follow-up on any fall-out after project implementation. • Prepares/supports revenue budget and forecasting; prepares and provides monthly reporting for stakeholders. Drive collaboration between all commercial areas, IT, regulatory, and operations. Acting as a go-between within Williams to provide solutions for all groups that interact, directly or indirectly, with the system(s). Required Qualifications: Bachelor's degree in accounting, Finance, Economics or Engineering related field. Master's degree is preferred Minimum 6 years' experience in energy industry (oil and gas) Experience leading a diverse team, with management oversight, of employees with competing interests. Ability to pivot between topics quickly and identify the cost-effective most agreeable solution. A thorough understanding of scheduling/contracting processes with an emphasis on one area (pre-flow/flow/post-flow). Ability to pull complex database information and have a rudimentary understanding of relational databases. Ability to perform statistical analysis Advanced Excel pivot and/or Power BI skills Knowledge of machine learning-based tools is a plus

12-month contract 3x a week onsite Key Responsibilities: * Provides support to internal and external customers, working with IT to identify system-related issues and functions as a project lead to organize and develop project requirements, develop and complete testing plans, and follow-up on any fall-out after project implementation * Proper support should work as a firewall between the customers and IT to verify that issues are indeed system related. Identified defects should be logged, tracked, tested and delivered in accordance with its customer impact and compliance risk * Drives collaboration between all commercial areas, IT, and rates & regulatory, acting as a go-between to provide solutions for all groups that interact, directly or indirectly, with the system(s). * Provides support for the creation and implementation of business processes, workflow, technology solutions and technology frameworks * Design and develop prototypes and proof of concepts for modelling, data mining, and production purposes. * Support, design, develop, test and implement tools for Marketing Services Reps (G&P - Distribution, Commercial, and Commodity Ops) to analyze historical data for data inquiries, customer focus, market orientation, process and tariff (TGOM only) efficiencies and predict future behaviour of customers to drive commercial decisions. * Ensures the EBB (proprietary and public) operates in compliance with all regulations using standard methodologies with an eye toward continuous improvement. * Completes all EBB changes needed to ensure continued growth of company, including working closely with Business Development, Marketing Services, and Corporate Strategic Development to ensure that all expansion project requirements are detailed far in advance of the project's in-service date * Act as a change agent and assist in the development of processes and procedures to assist the team in finding efficiencies by learning to become a Subject Matter Expert (SME) for functional areas of the system * Act as the business lead for all EBB and data visualization and analytics modifications and enhancements. * Function as a team leader to organize/develop project requirements, provide quality construction guidelines, develop and execute testing plans, and follow-up on any fall-out after project implementation. * Prepares/supports revenue budget and forecasting; prepares and provides monthly reporting for stakeholders. * Drive collaboration between all commercial areas, IT, regulatory, and operations. * Acting as a go-between within company to provide solutions for all groups that interact, directly or indirectly, with the system(s). Required Qualifications: * Bachelor's degree in accounting, Finance, Economics or Engineering related field. Master's degree is preferred * Minimum 6 years' experience in energy industry (oil and gas) * Experience leading a diverse team, with management oversight, of employees with competing interests. Ability to pivot between topics quickly and identify the cost-effective most agreeable solution. * A thorough understanding of scheduling/contracting processes with an emphasis on one area (pre-flow/flow/post-flow). * Ability to pull complex database information and have a rudimentary understanding of relational databases. * Ability to perform statistical analysis * Advanced Excel pivot and/or Power BI skills * Knowledge of machine learning-based tools is a plus Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Location: Houston, TX, US Job Type: Date Posted: January 7, 2026 Similar Jobs * Data Scientist * Data Scientist * IT Manager Data Scientist * Data Scientist Specialist * Marketing Data Scientist

At Stewart, we know that success begins with great people. As a Stewart employee, you'll be joining a company that was named a 2024-2025 Best Company to Work For by U.S. News & World Report, and a 2025 Top Workplace by USA Today. We are committed to helping you own, develop, and nurture your career. We invest in your career journey because we understand that as you grow, so does our company. And our priority is smart growth - by attaining the best people, investing in tools and resources that enable success, and creating a better home for all. You will be part of an inclusive work environment that reflects the customers we serve. You'll be empowered to use your unique experiences, passion and skills to help our company and the communities we serve constantly evolve and improve. Together, we can achieve our vision of becoming the premier title and real estate services company. Stewart is a global real estate services company, providing title insurance, settlement, underwriting, and lender services through our family of companies. To learn more about Stewart, visit stewart.com/about. More information can be found on stewart.com. Get title industry information and insights at stewart.com/insights. Follow Stewart on Facebook @StewartTitleCo, on Instagram @StewartTitleCo and on LinkedIn @StewartTitle Job Description Job Summary Design, build, and optimize data pipelines across both on-premises SQL Server environments , Azure cloud data services and MS Dynamics Dataverse. Job Responsibilities Design, develop, and maintain data pipelines to extract, transform, and load (ETL/ELT) data from multiple sources (on-prem and cloud) into analytical and operational systems. Provides data-based trends, recommendations and resolutions to the organization including through the optimization of monitoring and logging data pipelines Performs specialized assignments including the migration and integration of SQL Server data to Azure Data Lake, Azure SQL Database, MS D365 Dataverse, Synapse or Fabric. Interprets internal/external business environment Recommends best practices and implement data transformation and processing logic to optimize processes for performance and cost-efficiency using Azure-native tools. Using understanding of data modeling, normalization, and dimensional modeling concepts Impacts achievements of customer, operational, project or service objectives by utilizing skills in Python or PySpark for data transformation and automation. Communicates difficult concepts to team and departments to generate clarity and alignment on projects, initiatives, and various work products May lead functional projects with moderate risks and resource requirements Individual contributor working independently; may require guidance in highly complex situations Performs all other duties as assigned by management Education Bachelor's degree in relevant field preferred Experience Typically requires 5+ years of related work experience Strong experience in data movement, transformation, and processing of large-volume datasets. Proficiency in ETL/ELT frameworks, data orchestration, and automation. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure SQL, and Azure Data Lake Storage (ADLS Gen2) Knowledge of version control (Git) and CI/CD principles for data solutions. Strong expertise in Microsoft SQL Server (on-prem) performance tuning, stored procedures, and large-scale data processing Equal Employment Opportunity Employer Stewart is committed to ensuring that its online application process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you have a disability and need assistance or an accommodation in the application process, please contact us by email at *******************. Benefits Stewart offers eligible employees a competitive benefits package that includes, but is not limited to a variety of health and wellness insurance options and programs, paid time off, 401(k) with company match, employee stock purchase program, and employee discounts.

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

Company Information: LINQX is an industry-leading provider of end-to-end digital solutions and analytics for the oil and gas sector, leveraging advanced data analytics to optimize engineering and operations​. Its cloud-based platforms deliver AI-driven insights that enhance reservoir performance and streamline workflows​​. Driven by a mission of data-driven innovation​, LINQX combines cutting-edge technology with oilfield expertise to deliver transformative results​. Website: ***************** NOTE: THIS POSITION DOES NOT OFFER VISA SPONSOSHIP NOTE: THIS POSITION IS BASED ONSITE IN HOUSTON Position Summary: The Senior Data Engineer designs, builds, and operates cloud-scale data platforms and pipelines that power AI, analytics, ML, and data products across the business. This role partners with Product, Architecture, and Data Scientist to deliver secure, reliable, and cost-efficient batch and streaming data services on AWS/Azure. The engineer implements aligned with technical strategy for data modeling, orchestration, storage, and compute layers. The senior data engineer will also work directly with developers and architects from other product lines to enable integration and data strategies across products, mentoring and collaborating with teams on best practices in data engineering, reliability, and governance. Key Roles / Responsibilities: Lead the end-to-end design and implementation of enterprise data platforms (e.g., lakehouse, streaming, and “data hub” patterns); coordinate dependencies and integrations with product and enterprise systems. Provide technical leadership to internal and partner teams; plan scope, estimate effort, manage risks, and uphold delivery commitments. Coach engineers on data engineering standards, observability, and operational excellence; conduct design and code reviews. Define and evolve cloud data architecture (ingest, storage, compute, catalog, access) for both real-time and batch use cases; select services and patterns aligned to scalability, performance, and security requirements. Build robust data pipelines (ELT/ETL) using orchestration frameworks (e.g., Airflow, Dagster), event/stream platforms (e.g., Kafka/Kinesis/Event Hub/IoT Hub), and distributed processing (e.g., Spark/Databricks/Beam/Flink). Implement lakehouse/lake patterns with medallion layering, CDC, and schema evolution; operationalize quality gates, testing, and lineage. Establish SLOs for data freshness, availability, and quality; implement observability (metrics, logs, lineage) and on-call runbooks. Optimize cost/performance of storage and compute; manage capacity, autoscaling, and usage governance for data solutions Ensure privacy, security, and compliance (IAM, tokenization, row/column security, data retention); collaborate with enterprise security. Translate product and stakeholder requirements into data contracts and SLAs; document architecture and operational procedures. Evaluate emerging data technologies; create POVs and reference implementations. Anticipate future needs (multi-cloud, edge/IoT ingestion, vector/AI workloads) and create roadmaps and platform capabilities. Champion modernizing existng data architectures using current best practices: lakehouse, CDC, medallion layering, data mesh principles, and streaming. Strong software engineering in Python/SQL and one of Scala/Java; familiarity with REST/gRPC and microservices patterns. Expert with cloud data services (e.g., Azure Data Lake/Databricks/Synapse; or AWS S3/EMR/Glue/Redshift; or GCP BigQuery/Dataflow). Hands-on with distributed stores (e.g., Delta/Iceberg/Hudi; Kafka; Redis) and both SQL/NoSQL databases (e.g., Postgres, Cosmos/ DynamoDB, MongoDB, Cassandra). CI/CD (GitHub Actions/Azure DevOps), containerization (Docker/Kubernetes), Infrastructure as Code (Terraform). Data governance and security (catalogs, lineage, RBAC/ABAC, encryption, key management). Exposure to or experience implementing real time systems, with IoT/hardware design preferred, within oil and gas industry a huge plus Excellent stakeholder communication; ability to translate business needs into scalable data solutions. Required Education, Experience, and Qualifications: Bachelor's in computer science, Engineering, or related field (master's preferred). 5-10+ years in data engineering or platform roles delivering enterprise-grade data systems (SaaS or large-scale internal platforms). 2+ years leading or building technical design/delivery for cloud data platforms at scale. Proven delivery of streaming and batch pipelines, lakehouse implementations, and production ML data flows. Experience operating data platforms with SLAs/SLOs, cost governance, and on-call ownership. Working Conditions: Prolonged periods sitting at a desk and working on a computer. Must be able to lift 15 pounds at times. Positions self to install equipment, including under desks. Moves throughout the building to access files. Must be able to comprehend and follow written and oral instructions. Must be able to complete tasks even with frequent interruptions. Must be able to use discretion and independent judgment as needed. Must be able to speak clearly on the phone and to fellow workers. This job description should not be interpreted as an exhaustive list of responsibilities or as an employment agreement between the employer and the employee. The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification and are subject to change as the needs of the employer and requirements of the job change. Any essential functions of this position will be evaluated as necessary should an employee/applicant be unable to perform the functions or requirements due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the employee/applicant when possible. I acknowledge that I have read and understand the description of this position and have had the opportunity to ask my supervisor about any points I did not understand. I hereby state that I can perform the essential functions of this position with or without reasonable accommodation. #LINQX#LI-AD1#LI-ONSITE

Description - This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance. The role brings cutting edge perspective on programming techniques for data exploration, mining, preparation, cleansing, manipulation, modeling and validation. The role explores potential opportunities for improving business outcomes with data analytics and improves productivity by recommending efficient, automated processes for large scale data analyses and model development. Responsibilities Leads data mining using modern tools and programming languages. Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions. Delivers predictive and prescriptive models of high complexity to surface insights; drives action, defines success measures and tracks performance of models. Strategizes models to uncover patterns and predictions creating business value and innovation. Manages relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives. Ties insights into effective visualizations communicating business value and innovation potential. Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution. Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance. Represents the data science team for all phases of larger and more-complex development projects. Provides guidance, training and mentoring to less experienced staff members. Qualifications Passion for data science & delivering data driven outcomes. Expert knowledge of Python, SQL, and PySpark. Experience in one or more machine learning frameworks, such as Tensorflow/Keras, PyTorch, Spark MLlib, or Scikit-Learn. Ability to handle large amounts of structured and unstructured data and apply modern data transformation methodologies. Extensive experience using various machine learning algorithms (e.g., classification, regression, clustering) to develop and deploy predictive models Leads data science projects, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance. Delivers predictive and prescriptive models of high complexity to surface insights; drives action, defines success measures and tracks performance of models. Ability to uncover patterns and predictions from data to create business value and innovation. Strong analytical, problem-solving, and critical-thinking abilities. Ability to deal with ambiguity and work collaboratively in a high paced environment. Excellent interpersonal and project management skills; ability to work across in-person and virtual team environments. Experience visualizing data and conveying insights in a clear and effective manner What types of tools, software, hardware Programming Languages: Python, SQL Machine Learning Frameworks: Scikit-learn, Tensorflow, PyTorch, Pandas, Numpy Data Visualization: Power BI Preferred: Databricks, Microsoft Azure, Big Data, NLP Education, certifications, and areas of studies Four-year or Graduate Degree in Mathematics, Statistics, Computer Science, Data Science, or related field. Years of experience Typically has 7-10 years of work experience, preferably in data science, statistical modeling, machine learning, or a related field. Knowledge & Skills Data Science Machine Learning/AI Big Data Data Mining Deep Learning Data Visualization Programming Languages (Python, SQL) Statistics Predictive Modeling Time-Series Forecasting Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope • Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Complexity • Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: * Health insurance * Dental insurance * Vision insurance * Long term/short term disability insurance * Employee assistance program * Flexible spending account * Life insurance * Generous time off policies, including; * 4-12 weeks fully paid parental leave based on tenure * 11 paid holidays * Additional flexible paid vacation and sick leave (US benefits overview [*********************************** The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - No Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"