Data engineer jobs in The Woodlands, TX - 835 jobs

About the role We are hiring an Entry Level Software Engineer to join a collaborative engineering team building modern web and backend systems. This is a great opportunity for recent graduates to work on real production features, learn best practices, and grow with mentorship. What you will do • Build and enhance backend services and APIs • Develop UI features and improve user experience (depending on team) • Write clean, testable code and participate in code reviews • Troubleshoot issues, fix bugs, and improve system reliability • Collaborate with product, QA, and other engineers in agile sprints • Document technical work and contribute to team knowledge bases What we are looking for • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent experience) • Strong fundamentals in data structures, algorithms, and OOP • Experience with at least one programming language (Java, Python, JavaScript, C#, etc.) • Familiarity with Git and basic CI/CD concepts • Comfort working with SQL or basic database concepts • Strong communication and willingness to learn Nice to have • Internship, capstone, or personal projects (GitHub preferred) • Exposure to cloud platforms (AWS, Azure, GCP) • Familiarity with Docker, REST, microservices, or React

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 ************

Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the target base salary pay range in the following locations: Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000. In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We will accept applications until 1/31/2026 or until the positions are filled.

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.

This role is a software- and data engineering-focused position responsible for turning real-world user needs into production-ready data pipelines, backend services, and data-driven applications. The primary focus is on data processing, system integration, performance, and reliability, working closely with business and operational users to continuously improve systems and dashboards so that data can be accurately and effectively used in real operational scenarios. This role emphasizes building and operating reliable data systems rather than research-oriented modeling or algorithm development. Key Responsibilities ●Work closely with internal users (e.g., operations, manufacturing, or business teams) to understand real usage scenarios and translate requirements into system designs, data pipelines, and reporting specifications ●Design, build, and maintain reliable data pipelines (ETL) using SQL and Python ●Develop and maintain backend services and APIs to support data access, system integration, and application functionality ●Build and enhance BI dashboards and visualizations (e.g., Tableau) with a strong focus on data accuracy, usability, and real-world adoption ●Collaborate with engineers, IT teams, and cross-functional partners on system integration and workflow optimization ●Optimize system performance and architecture as data volume and usage patterns evolve ●Proactively monitor data quality and system reliability, identifying and resolving issues that impact user experience ●Collaborate with global engineering and data teams, including partners in Asia, to align on system design, data workflows, and implementation details. This role values production-ready systems that are stable, accurate, and actually used, rather than model-centric or research-driven solutions. Qualifications Must Have ●Hands-on experience with data processing, cleaning, and transformation, turning raw data into structured and usable datasets ●Proficiency in Python, SQL, and Git, with experience applying them in real projects ●Strong SQL skills; experience participating in or being familiar with database schema design, with an understanding of how data models support usage scenarios ●Backend development experience; experience participating in or being familiar with building APIs in Python to support system integration and data access ●Experience working with cross-functional teams and the ability to clearly explain technical solutions and trade-offs ●Experience collaborating with users to translate real-world requirements into deployable systems, data workflows, or dashboards Nice to Have ●Experience with Linux and Docker, including system deployment or operations ●Familiarity with CI/CD pipelines ●Experience with database performance tuning or large-scale data processing ●Ability to communicate in Spanish or Chinese for work-related discussions ●Comfortable working in a global, cross-time-zone collaboration environment

The Staff Data Scientist plays a pivotal role in embedding intelligent agents into the very fabric of our product strategy. We believe that agentic AI is a cornerstone of our future offerings, driving innovation across our three key portfolios: safety, sustainability, and performance. In this role, you will guide the development and integration of agent-based solutions, ensuring they become a natural and powerful element of how we deliver value to our customers. What You Will Do: * Lead the vision, strategy, and execution of enterprise-scale data science and AI initiatives, with emphasis on agentic AI solutions that deliver measurable business value. * Architect, develop, and deploy advanced AI/ML models and intelligent agent systems, ensuring scalability, interpretability, and alignment with organizational priorities. * Drive cross-functional adoption of AI capabilities by influencing product roadmaps, setting technical standards, and ensuring consistent integration across portfolios. * Partner with executive leadership to identify and prioritize high-impact AI opportunities that align with corporate goals in safety, sustainability, and performance. * Serve as a principal technical authority and mentor for senior data scientists, fostering a culture of innovation, ethical AI use, and technical excellence. * Translate complex AI concepts into actionable strategies for non-technical stakeholders, enabling informed decision-making at all levels. * Lead design and implementation of enterprise-grade data architectures, pipelines, and platforms that enable rapid experimentation and deployment. * Oversee the development and governance of AI/ML model lifecycle management, from prototyping through monitoring and continuous improvement. * Collaborate with industry partners, academic institutions, and technology providers to bring cutting-edge AI techniques into production environments. * Ensure all AI-driven solutions meet rigorous standards for data quality, fairness, transparency, and regulatory compliance. * Direct the evaluation and integration of emerging AI tools, frameworks, and methodologies, including generative AI and large language models. * Champion Agile and iterative delivery practices tailored for AI/ML development, ensuring rapid feedback and continuous learning. * Generate intellectual property through novel AI approaches, patents, and publications that position the organization as a thought leader. * Lead post-deployment analysis to measure the impact of AI initiatives and guide future investments. Develop and deploy scalable and interpretable data products per the business-defined requirements. What You Will Need: Education and Experience * Required - At least 6 to 8 years of experience in data science, computer science, information systems, engineering, or other relevant fields, including a proven track record in applied AI and machine learning. * Preferred - 1+ years of experience specifically in agentic AI or similar emerging agent frameworks * Required - Bachelor's degree in data science, computer science, information systems, engineering, or a closely related field. * Preferred - Master's Degree in Data Science, Data Analytics, Information Systems, Computer Science, Engineering, or a closely related field. Knowledge, Skills, and Abilities * Demonstrated mastery in developing and deploying agentic AI solutions and a proven track record of integrating AI-driven agents into large-scale products. * Expert-level proficiency in machine learning, statistical modeling, and AI frameworks, including but not limited to Python, PyTorch, and Azure AI services. * Strong capability to lead and mentor senior data scientists and cross-functional teams in AI best practices and ethical AI deployment. * Ability to translate complex AI and data science concepts into actionable business strategies and clear recommendations for non-technical stakeholders. * Advanced experience with generative AI and large language models, and the ability to leverage these technologies to create scalable, interpretable, and business-aligned AI solutions. * Strong proficiency in designing and overseeing complex data architectures and pipelines, ensuring robust data governance and quality. * Proven ability to drive innovation and generate intellectual property through the application of novel AI techniques. * Ability to stay at the forefront of the field by continuously learning and applying the latest advancements in AI and data science. * Display an entrepreneurial mindset and the ability to devise practical, out-of-the-box solutions to complex business challenges. * Establish organizational AI governance frameworks that define ethical guidelines, performance metrics, and compliance standards for all AI-driven initiatives. * Shape the external perception of the organization's AI leadership through keynote speaking, industry working group participation, and thought leadership publications. * Secure strategic partnerships with technology vendors, startups, and research institutions to accelerate the adoption of transformative AI capabilities. * Working knowledge of the ABS Health, Safety, Quality, and Environmental Management System. Reporting Relationships: Reports to a Data Analytics Manager. Notice: This position requires access to information that is subject to control by the Export Administration Regulations and/or the International Traffic in Arms Regulations. Any offer of employment shall be contingent upon the Company's verification that the candidate is a "U.S. Person" or upon the receipt of all necessary export licenses or authorizations that may be required by U.S. export control laws. "U.S. Persons" are defined as U.S. citizens, U.S. lawful permanent residents (i.e., "green card" holders), or any individual granted protected status under the Immigration and Nationality Act (8 U.S.C. § 1324b(a)(3)), including asylees and refugees. In the event a candidate refuses or cannot otherwise provide the necessary information for the Company to determine whether such licenses may be required, or for the Company to obtain any required licenses, the Company shall maintain the exclusive right to discontinue the application process and/or withdraw any contingent offer that has been made.

Job Title: Data Scientist Department: Purchasing Reports To: COO Location: 6969 North Fwy, Houston, TX 77076 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. Vacation Time: 40 hours per year, accrued on a pro-rata basis. Sick Time: 40 hours per year, accrued on a pro-rata basis. Additional Benefits: Employee discounts PAYACTIV Paid Holidays (6 days): New Year's Day Memorial Day Independence Day Labor Day Thanksgiving Day Christmas Day

This role is a software- and data engineering-focused position responsible for turning real-world user needs into production-ready data pipelines, backend services, and data-driven applications. The primary focus is on data processing, system integration, performance, and reliability, working closely with business and operational users to continuously improve systems and dashboards so that data can be accurately and effectively used in real operational scenarios. This role emphasizes building and operating reliable data systems rather than research-oriented modeling or algorithm development. Key Responsibilities ●Work closely with internal users (e.g., operations, manufacturing, or business teams) to understand real usage scenarios and translate requirements into system designs, data pipelines, and reporting specifications ●Design, build, and maintain reliable data pipelines (ETL) using SQL and Python ●Develop and maintain backend services and APIs to support data access, system integration, and application functionality ●Build and enhance BI dashboards and visualizations (e.g., Tableau) with a strong focus on data accuracy, usability, and real-world adoption ●Collaborate with engineers, IT teams, and cross-functional partners on system integration and workflow optimization ●Optimize system performance and architecture as data volume and usage patterns evolve ●Proactively monitor data quality and system reliability, identifying and resolving issues that impact user experience ●Collaborate with global engineering and data teams, including partners in Asia, to align on system design, data workflows, and implementation details. This role values production-ready systems that are stable, accurate, and actually used, rather than model-centric or research-driven solutions. Qualifications Must Have ●Hands-on experience with data processing, cleaning, and transformation, turning raw data into structured and usable datasets ●Proficiency in Python, SQL, and Git, with experience applying them in real projects ●Strong SQL skills; experience participating in or being familiar with database schema design, with an understanding of how data models support usage scenarios ●Backend development experience; experience participating in or being familiar with building APIs in Python to support system integration and data access ●Experience working with cross-functional teams and the ability to clearly explain technical solutions and trade-offs ●Experience collaborating with users to translate real-world requirements into deployable systems, data workflows, or dashboards Nice to Have ●Experience with Linux and Docker, including system deployment or operations ●Familiarity with CI/CD pipelines ●Experience with database performance tuning or large-scale data processing ●Ability to communicate in Spanish or Chinese for work-related discussions ●Comfortable working in a global, cross-time-zone collaboration environment Powered by JazzHR IyxSNvnjPk

Clearance: DHS Suitability - nice to have US Citizenship is required Experience: 5+ years Remote/Hybrid/Onsite: 100% Onsite work (non-negotiable) Skill Level Desired Years Exp Senior 5-10 Expert 11-15 Subject Matter Expert 16+ Full Time: Direct Hire No 3rd Party Vendors - No exceptions Note: Available Immediately & Benefits posted below Introduction Our client seeks a skilled Data Scientist / Data Engineer to join our team and support the Houston Field Office. In this role, you will analyze large and complex datasets to aid in cybercrime investigations, develop ETL processes, and collaborate closely with cybercrime investigators and forensic analysts to enhance investigative outcomes. Role - Analyze large and complex datasets to identify patterns, anomalies, and trends that can aid in cybercrime investigations. - Utilize advanced statistical methods and algorithms to extract actionable insights from data. - Develop and implement ETL (Extract, Transform, Load) processes to ensure data is efficiently processed and integrated. - Design and optimize data indexing and search processes to facilitate efficient data retrieval and discovery. - Work closely with cybercrime investigators and forensic analysts to provide data-driven insights that enhance investigative outcomes. - Participate in cross-functional teams to integrate data engineering methodologies into ongoing investigations. - Create data visualizations and dashboards to present findings in an easily interpretable manner for both technical and non-technical stakeholders. - Prepare detailed reports and presentations for internal and external audiences. - Contribute to the development and refinement of internal analytics tools and platforms, enhancing the overall effectiveness of data-driven investigations. - Develop prototypes and algorithms to support specific investigative needs. - Understand and apply Large Language Models (LLMs) to traditional Natural Language Processing (NLP) problems. - Utilize LLMs to triage unstructured text and extract relevant information for investigations. - Bachelor's degree in data science, Statistics, Computer Science, or a related field. - Minimum of 5+ years in data analytics or data engineering, preferably with a focus on cybercrime or financial investigations. - Proficiency in programming languages such as Python, R, or similar. - Proficiency with ETL processes and data integration. - Strong knowledge of data indexing, search, and discovery techniques. - Proficiency in database systems and SQL. - Strong analytical and problem-solving skills. - Familiarity with data visualization tools (e.g., Tableau, Power BI). - Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences. - Ability to work collaboratively in a team environment. - Experience in developing and implementing algorithms and prototypes. - Understanding of Large Language Models (LLMs) and their application to NLP problems. - Experience with traditional NLP techniques and tools. - Experience in cybercrime investigations or a related area. Salary/Rate: You know the salary range you are looking for, so let's talk after you fill out the application. Note: No 3rd party vendors or candidates US Citizenship Required Active DHS Suitability nice to have

Job Responsibilities 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 service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues. Other duties as assigned. Minimum Qualifications Education Bachelors Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Masters 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 Benefits Dental Insurance, Medical Insurance, Vision Insurance, Life Insurance, Retirement, Equity, PTO,

Apply Description 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 Required to be in-person in Houston, TX, through a hybrid workplace 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.

A large natural gas producer in Houston, which continues to build and expand its Commercial Trading/Origination teams for natural gas, LNG, and power, is seeking an experienced Data Scientist. The position is newly created for the Fundamental & Quantitative Analytics team; it will leverage energy data and advanced/novel modeling to drive insights that solve complex problems in underlying market fundamentals and drive growth in commercial operations revenue. Responsibilities include: Help to establish and architect an end-to-end advanced Data Science modeling function focused on data and models used for natural gas, LNG, and power trading and marketing/origination Working closely with the Data Engineer, develop and implement data acquisition strategies that incorporate vendor identification, web scraping, internal systems reviews, and unstructured data Lead model development using quantitative techniques, including machine learning, time series forecasting, optimization techniques, and statistical analysis Incorporate artificial intelligence and large language models Create robust processes and develop and deploy models into production with speed and accuracy Collaborate and coordinate with key stakeholders of Fundamental and Quantitative Analysis (Traders, Marketers/Originators, Commercial Analysts, IT, Data Engineers) to provide technical data solutions, including predictive models, risk assessment tools, optimization algorithms, and real-time monitoring systems Rapidly adapt models and insights to changing market conditions and emerging opportunities in natural gas, LNG, and power markets. Education and professional requirements include: Bachelor's degree in a quantitative field (Mathematics, Engineering, Statistics, Computer Science, etc.) ~2+ years of experience in a data science or quantitative role with exposure to energy commodities (natural gas, power markets, crude oil, LNG, NGL, or related markets) is required Experience with natural gas market fundamentals, including basis trading, pipeline systems, storage dynamics, and location-specific pricing data sets, is highly desired. Candidates from adjacent energy markets with strong technical skills will be considered. Demonstrated experience with advanced modeling techniques in machine learning, statistical modeling, optimization, and time series analysis Advanced technical skills, including Python/R, SQL, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and cloud computing platforms Experience with data acquisition methods, including APIs, web scraping, database management, schema development, and application of metadata layers Experience with both structured and unstructured data sources

Description - HP is the world's leading personal systems and printing company, dedicated to creating technology that enriches lives everywhere. Our innovation thrives on the passion, talent, and curiosity of our people-each bringing unique perspectives, expertise, and ideas to shape the future of how the world works and lives. Join HP's Strategic Planning and Modeling (SPaM) Data Science Team - Where Vision Meets Impact Are you a visionary thinker with a passion for learning and innovation? Join our Strategic Planning and Modeling (SPaM) Data Science team, where we tackle complex supply chain challenges and drive strategic decision-making through advanced analytics. As a member of SPaM, you will: Evaluate supply chain investment and improvement opportunities. Develop cutting-edge predictive, prescriptive, and generative AI models to optimize business outcomes. Deliver strategic recommendations that shape HP's global supply chain. Collaborate with senior executives to set direction and drive innovation. Lead with technical and analytical expertise to translate theory into impactful business solutions through strong execution and cross-functional orchestration. At SPaM, we bring over 35 years of supply chain innovation. We value flexibility, invest in your growth through formal training and mentorship, and foster a culture where creativity and data-driven insights power the future. If pioneering data-based innovations to transform HP's supply chain excites you, we want to hear from you! Responsibilities * Collaborate & Strategize: Work closely with SPaM team members and cross-functional partners to define business challenges, develop analytical frameworks, gather key data, evaluate solutions, and deliver well-supported recommendations to leadership. * Drive Supply Chain Innovation: Develop and implement cutting-edge solutions in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, and distribution to enhance efficiency and decision-making. * Transform Data into Impact: Leverage data visualization techniques to craft compelling narratives that communicate insights, drive action, and demonstrate business value. * Build & Scale Advanced Analytics Solutions: Design, deploy, and support predictive, prescriptive, and generative analytics models that drive measurable impact at scale. * Enable Change & Adoption: Apply proven change management strategies to facilitate smooth adoption of new analytics-driven solutions across the organization. * Stay Ahead of the Curve: Continuously enhance expertise in data science and supply chain management by staying informed on the latest advancements and industry trends. Education and Experience Required * MS/PhD in a business analytics field (i.e. Industrial Engineering, Management Science, Operations Research, Statistics, Data Science) or MBA with Supply Chain or Operations concentration * Operational experience in one of the following: inventory optimization, demand forecasting, network design, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area * 10+ years of experience Knowledge and Skills * Expertise with inventory optimization math and deployment of the mathematical formulas into a business process * Applied experience with machine learning and optimization on large datasets * Proficient with Python, SQL, GitHub Co-Pilot, PowerBI, Excel * Experience with GenAI * Passion for data science & delivering data-driven outcomes * Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver, Return) * Demonstrated practical experience in an operational environment * Experience implementing and handing off operational analytical solutions to business users * Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-paced environment * Demonstrated ability to communicate concisely with diplomacy, credibility, and confidence * Experience with data visualization and data presentation in a clear and effective manner * Experience leading, collaborating with, and delivering results in cross-functional teams * Familiarity with statistics, forecasting, simulation, and spreadsheet modelling * A desire to be a part of the HP team with a commitment to build upon our brand that is synonymous with innovation, trust, reliability, and sustainability The base pay range for this role is $147,050 to $232,850 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US 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 are 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. #LI-POST Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - Not Specified 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"

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

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 ************

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

Description - The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based tools and digital products that enable increased productivity for 50,000+ employees and improve the effectiveness of hundreds of critical business processes. We collaborate closely with business stakeholders across HP to scope, prototype, and develop models and products in the cloud and on the edge. We also serve as HP's AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company. As a Principal Data Scientist focused on Generative AI, you will lead multiple HP projects involving large language and multi-model models and other cutting-edge Generative AI capabilities for deployment on the cloud or edge. In addition to working with our core technical team, you'll collaborate with business stakeholders and across various units to develop and deploy solutions at scale. Your primary focus and mindset will be on delivering real business value to our internal customers. Please note, this is not a research role. Responsibilities • Leads organization-wide team or teams of other data science professionals in complex projects to create GenAI-based models and digital products. • Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions. • Manages relationships with senior 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. Education & Experience Recommended PhD related to AI and 5+ years of experience or Master's degree related to AI and 10+ years of experience. Relevant experience must involve Generative AI and related technologies including machine learning. data analytics, and statistical modeling. Preferred Certifications • Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills Strong foundation in data science and core machine learning concepts. Experience with large language models, multi-modal modals, prompt engineering, vector databases, Retrieval-Augmented Generation (RAG), and search engines. Solid technical background. Experience working on software development teams, especially in cloud-based business applications, is a strong plus. Familiarity with tools such as Azure Machine Learning, Azure Prompt Flow, Python, LangChain, Streamlit, and Docker. Experience working in distributed, diverse teams, with bonus points for time spent in small fast-paced start-ups. Comfortable representing the team in meetings with multiple stakeholders and driving discussions clearly and respectfully. Mastery of English is required. Able to explain technical concepts (e.g., LLMs) to non-technical audiences. You suggest pragmatic solutions that are as simple as possible-even if that means no AI is required. Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity The base pay range for this role is $147,050 to $230,850 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US 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 - Relocation - 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. 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