Senior data scientist jobs in Galveston, TX - 196 jobs

Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design, build, and optimize the databases and data systems that power our business intelligence and analytics platforms. In this role, you will lead the creation of scalable pipelines, data models, and cloud-based architecture that ensures reliable, high-quality data across the organization. You will architect and implement new database solutions, drive migration and optimization efforts in PostgreSQL and Snowflake, and advance data governance initiatives. Working in an agile, cross-functional environment, you will translate business needs into scalable solutions while ensuring security, integrity, and performance. This role is ideal for someone who thrives on building data platforms from the ground up and shaping enterprise data strategy. This position is remote but may follow a hybrid schedule for candidates located within 60 miles of an Alliance office. Essential Functions Architect and implement new databases and data platforms to meet business and technical requirements Build and maintain scalable ELT/ETL pipelines and data models for analytics and reporting Manage and optimize database environments, including provisioning, performance tuning, and access controls Implement and manage automation and workflow orchestrations for reliable, repeatable deployments Ensure data quality, consistency, and compliance through robust validation and monitoring practices Collaborate with cross-functional teams to define technical requirements, estimate development efforts, and deliver business-aligned solutions Troubleshoot complex issues, recommend improvements, and maintain clear documentation of data systems, processes, and solutions proposed/implemented Mentor junior data engineers, providing technical guidance, code reviews, and best practices Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) 10+ years of hands-on experience with relational databases, including designing and implementing new database systems Knowledge, Skills, & Abilities Proven experience designing and building new databases and large-scale data systems, particularly in PostgreSQL and Snowflake; hands-on experience with dbt Demonstrated ability to develop and optimize ELT/ETL pipelines for complex data sets Experience with cloud architecture, workflow orchestration, and Git-based version control Knowledge of data governance, data quality, and validation practices Strong troubleshooting and root-cause analysis skills Excellent communication skills and experience working in agile, cross-functional teams Working knowledge of Python preferred, familiarity with data visualization principles a plus Work Environment While performing the duties of this job, the employee regularly works in an office setting with constant sitting and occasional standing. Physical Demands Prolonged periods of sitting or standing at a desk while using a computer. Travel Not Applicable Other Duties Please note this job description is intended to describe the general nature and level of work performed by employees assigned to this position. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications. Additional job-related duties may be assigned. Alliance reserves the right to amend and change responsibilities to meet business and organizational needs as necessary with or without notice. Employee Benefits: Key Benefits Include: - Medical, Dental, and Vision Insurance - Flexible Spending Accounts - 401(K) Plan with Competitive Match - Continuing Education and Tuition Assistance - Employer-Sponsored Disability Benefits - Life Insurance - Employee Assistance Program (EAP) - Paid Time Off (PTO), Paid Holidays, & Bonus Floating Holiday (if hired before July 1st) - Profit Sharing or Individual Bonus Programs - Referral Program - Per Diem & Paid Travel - Employee Discount Hub Salary based upon experience. EEO Commitment: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, national origin, ethnicity, sex, pregnancy, sexual orientation, gender identity/expression, including transgender identity, religion, disability, age, genetics, active military or veteran status and any other characteristics protected under applicable federal or state law.

Living Our Values All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live. Why Join Us Career Growth: Advance your career with opportunities for leadership and personal development. Culture of Excellence: Be part of a supportive team that values your input and encourages innovation. Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs. Total Rewards Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page. A Day In The Life As a Lead Data Engineer within the Trailblazer initiative, you will play a crucial role in architecting, implementing, and managing robust, scalable data infrastructure. This position demands a blend of systems engineering, data integration, and data analytics skills to enhance TFG's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs. The ideal candidate brings deep expertise in Lakehouse design principles, including layered Medallion Architecture patterns (Bronze, Silver, Gold), to drive scalable and governed data solutions. This is also a highly visible leadership role that will represent the data engineering function and lead the Data Management Community of Practice across TFG. As a Lead Data Engineer you will: Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka. Work within cloud environments like AWS or Azure to leverage services including but not limited to EC2, RDS, S3, Lambda, and Azure Data Lake for efficient data handling and processing. Architect and operationalize data pipelines following Medallion Architecture best practices within a Lakehouse framework-ensuring data quality, lineage, and usability across Bronze, Silver, and Gold layers. Develop and optimize data models and storage solutions (Databricks, Data Lakehouses) to support operational and analytical applications, ensuring data quality and accessibility. Utilize ETL tools and frameworks (e.g., Apache Airflow, Fivetran) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics. Lead the Data Management Community of Practice, serving as the primary facilitator, coordinator, and spokesperson. Drive knowledge sharing, establish best practices, and represent the data engineering discipline across TFG to both technical and business audiences. Collaborate closely with data scientists, providing the data infrastructure and tools needed for complex analytical models, leveraging Python or R for data processing scripts. Ensure compliance with data governance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment. Monitor and troubleshoot data pipelines and databases for performance issues, applying tuning techniques to optimize data access and throughput. Stay abreast of emerging technologies and methodologies in data engineering, advocating for and implementing improvements to the data ecosystem. What We Need From You Bachelor's Degree in Computer Science, MIS, or other business discipline and 10+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req or Master's Degree computer science, MIS, or other business discipline and 5+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req Demonstrated experience designing and implementing Medallion Architecture in a Databricks Lakehouse environment, including layer transitions, data quality enforcement, and optimization strategies. Required Expertise in developing ETL/ELT workflows Required Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS native data offerings Required Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage Required Strong experience in AWS cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks Required Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala) Required Hands on RDBMS experience (data modeling, analysis, programming, stored procedures) Required Familiarity with machine learning model deployment and management practices is a plus Required Strong executive presence and communication skills, with a proven ability to lead communities of practice, deliver presentations to senior leadership, and build alignment across technical and business stakeholders. Required AWS Certified Solution Architect Preferred Databricks Certified Associate Developer for Apache Spark Preferred DAMA CDMP Preferred or other relevant certifications. Preferred Physical and Environmental RequirementsThe physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds. Travel Requirements 20% The associate is occasionally required to travel to other sites, including out-of-state, where applicable, for business. Join Us The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at . We celebrate diversity and are committed to creating an inclusive environment for all associates. We are seeking candidates legally authorized to work in the United States, without Sponsorship. #LI-TW1

*To access Dayforce at its best, log in from the latest version of Chrome, Safari, Firefox, or Edge. * Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids industry, providing transportation and storage services for our customers. Our 14,000 miles of pipeline and storage assets provide diverse market connectivity to producers and end-users who need reliable sources of natural gas for power generation, home heating or petrochemical feedstocks. We have the experience, knowledge, and flexibility to design service offerings and create system enhancements tailored to our customers' needs throughout the 13 states in which we operate. As an organization focused on sustainability, we are committed to protecting the environment while delivering this energy source. This commitment is made to our customers, employees, and the communities in which we operate. We incorporate environmental stewardship, safety, and compliance into our day-to-day operations and seek to strengthen and support the communities we serve. Additional information about the company can be found online at ******************** We are currently looking for a Data Scientist I/ II/ Sr for our Houston, TX office. POSITION DESCRIPTION: The Data Scientist plays a key role in advancing digital innovation by developing data-driven models and insights that support operational efficiency, asset optimization, and strategic decision-making. This role will work closely with data engineers, business stakeholders, and digital leadership to design and deploy machine learning (ML) models, predictive analytics, and advanced visualizations that drive measurable business outcomes. The ideal candidate combines strong analytical skills with deep technical expertise in cloud-based data science tools, particularly within the Amazon Web Services (AWS) ecosystem. This role requires a passion for solving complex problems, a collaborative mindset, and the ability to translate data into actionable insights for a midstream energy environment. KEY RESPONSIBILITIES Model Development & Advanced Analytics Design, build, and deploy predictive models and machine learning (ML) algorithms to support asset performance, reliability, and commercial optimization. Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling using Python, R, or similar tools. Develop time series forecasting, anomaly detection, and classification models for operational and business use cases. Apply geospatial and sensor data analytics to support pipeline monitoring, flow optimization, and risk assessment. Cloud & Platform Integration Leverage Amazon Web Services (AWS) tools such as SageMaker, Redshift, Simple Storage Service (S3), Lambda, and Glue for model training, deployment, and data access. Collaborate with data engineers to ensure models are integrated into production pipelines and dashboards. Use version control (e.g., Git) and continuous integration/continuous deployment (CI/CD) practices to manage model lifecycle and reproducibility. Business Collaboration & Impact Partner with operations, engineering, and commercial teams to identify high-impact use cases and translate business needs into analytical solutions. Present findings and recommendations through compelling data visualizations and storytelling using tools like Power BI or Tableau. Support the development of self-service analytics and promote data literacy across the organization. Document model assumptions, limitations, and performance metrics to ensure transparency and trust. Model Governance & Continuous Improvement Monitor model performance and retrain as needed to maintain accuracy and relevance. Implement MLOps practices to support scalable, automated model deployment and monitoring. Ensure compliance with data governance, privacy, and ethical AI standards. Stay current with industry trends and emerging technologies to continuously improve analytical capabilities. REQUIRED SKILLS, KNOWLEDGE, AND EXPERIENCE: Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field. 3-5+ years of experience in applied data science, preferably in the energy, utilities, or industrial sectors. Proficiency in Python, SQL, and data science libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Experience working with AWS services including SageMaker, Redshift, S3, and Lambda. Strong understanding of statistical modeling, machine learning, and data visualization techniques. Ability to communicate complex technical concepts to non-technical stakeholders. Experience working with large datasets and real-time or near-real-time data environments. PREFERRED SKILLS, KNOWLEDGE, AND EXPERIENCE: Experience in the natural gas midstream or broader oil & gas industry. Familiarity with MLOps practices and tools for model monitoring and retraining. Exposure to geospatial data, sensor data, or SCADA systems. Experience with Power BI, Tableau, or similar BI tools. Knowledge of data governance, security, and compliance in cloud environments. REQUIRED EDUCATION: Bachelor's degree in Computer Science, Engineering, Statistics, or related field PREFERRED EDUCATION: Master's degree ADDITIONAL INFORMATION: Boardwalk Pipelines, LP, maintains a drug-free workplace and will require pre-employment drug & substance abuse testing before hire. Boardwalk Pipelines, LP is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, religion, age, sex, gender identity, national origin, veteran, or disability status.

Department: IT - BI Finance/HCM/Ops Contract Months:12 Salary Range: $92,540.00 - $152,691.00 Academic Year: 25-26 The Senior Data Scientist - Strategic Data Intelligence leads advanced analytics, modeling, and predictive insights for Houston ISD's enterprise systems. This role focuses on data from Finance, Budgeting, Procurement, HR, and other ERP domains. The Senior Data Scientist works across departments to develop models that inform operational decision-making, forecast resource needs, and identify efficiency opportunities. The role plays a key part in ensuring HISD leverages Microsoft Fabric and Power BI to build intelligent, automated data tools that support a modern, cloud-based ERP landscape. MAJOR DUTIES & RESPONSIBILITIES 1. Build and maintain statistical and machine learning models using data from enterprise systems. 2. Partner with Finance, HR, Procurement, and Budgeting teams to understand strategic data needs. 3. Develop forecasts, classification models, or cluster analyses to optimize operations. 4. Create executive dashboards, simulations, and decision-support tools using Power BI and Microsoft Fabric. 5 Lead efforts to clean, normalize, and combine data from Oracle Fusion, legacy SAP, and other platforms. MAJOR DUTIES & RESPONSIBILITIES CONTINUED 6. Publish clear documentation and visual explanations of findings to both technical and non-technical audiences. 7. Collaborate with data engineers and architects to ensure models are reproducible and scalable. 8. Evaluate external datasets and economic indicators to enhance district forecasting. 9. Mentor other analysts and data professionals within the department. 10. Perform other job-related duties as assigned. EDUCATION Master's degree in data science, statistics, applied mathematics, or related quantitative field required. Ph.D. preferred. * Applicants who do not meet these education qualifications may be considered if they have a unique combination of education and work experiences that indicate potential for success in this role. WORK EXPERIENCE Minimum of 6 years in data science, analytics, or quantitative research. Experience with ERP or operational systems in education, government, or large enterprises preferred. SKILL AND/OR REQUIRED LICENSING/CERTIFICATION * Advanced experience with Python, R, or other statistical programming languages * Strong SQL and data modeling skills * Experience using Power BI and Microsoft Fabric for data analysis * Knowledge of ERP data structures (finance, HR, procurement) * Strong communication and data storytelling abilities * Preferred certifications: Microsoft Certified: Data Scientist Associate, Azure Data Scientist Associate LEADERSHIP RESPONSIBILITIES Serves as a senior contributor and thought leader within the Strategic Data Intelligence team. May lead projects or mentor junior analysts. WORK COMPLEXITY/INDEPENDENT JUDGMENT Applies independent judgment to solve complex, ambiguous problems. Chooses modeling approaches, variables, and algorithms based on context and stakeholder needs. BUDGET AUTHORITY May provide input on software, tools, or external data subscriptions needed to support modeling. PROBLEM SOLVING Translates large-scale, messy data into actionable insights and predictive tools. Identifies gaps and inefficiencies in data collection or usage. IMPACT OF DECISIONS Models and forecasts directly influence staffing, budgeting, procurement, and other enterprise decisions across HISD. COMMUNICATION/INTERACTIONS Presents models, insights, and scenarios to senior district leadership, department heads, and peer analysts. CUSTOMER RELATIONSHIPS Provides expert-level support to business units seeking to improve operations using predictive and statistical tools. WORKING/ENVIRONMENTAL CONDITIONS Office or hybrid setting. Extended screen time and data review required. May work long hours during major forecasting periods. Houston Independent School District is an equal opportunity employer.

Argo Group International Holdings, Inc. and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. (“BWS”), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description Duties: Leads discovery of insights from large datasets through research, using mathematical and/or statistical techniques for business application. Work with business partners and stakeholders to identify questions and build hypotheses, develop problem definition, analytical approach, and determine best approach to address business issues. Translate technical analyses and results into simple visuals and actionable items for business partners. Participate in the selection of research tools and technologies, design of a common research process and brainstorming new opportunities and methodologies. Build advanced algorithm and machine learning models using a variety of libraries/tools and cutting-edge techniques. Work with product and engineering teams to ensure that a model functions efficiently and delivers results that align with business objectives. Research and maintain awareness of industry best practices and business strategies. Bring new and innovative ideas and approaches to develop business solutions. Monitor industry and competitor trends to determine potential impact to predictive models. Identify, leverage, develop, in emerging technologies, open-source tools, and harnesses new techniques (e.g., GBM, Decision tree, Random Forest, NLP). Interact with leadership to assist in the development of strategic direction for the business or business partners. Lead research or analytics projects related to large, complex business initiatives. Apply knowledge of emerging trends and industry practices. Lead the development of new analytical and data science capabilities. Serve as an internal thought leader and provide knowledge transfer and training on new modelling tools and methodologies to less experienced staff. Identify opportunities for new machine learning solutions, exploring new data sources for enrichment, collecting appropriate labels for learning, establishing actionable metrics, and creating reusable model validations and risk mitigation. Provide advanced knowledge in predictive models such as parameterized methods, ensemble algorithms, deep neural network, and reinforcement learning algorithm. Execute assigned steps to support developing advanced models. Education Required: Bachelor or foreign equivalent in Computer Information Systems, Computer Science, Mathematics, Statistics, Data Science, Data Analytics or related field. Experience Required: 5 years of progressive experience as Data Scientist, Senior Analyst, Software Engineer or related occupation. Special Requirements: Must have at least 1 year of prior work experience in each of the following: Programming languages SQL, Spark, Python, R, and frameworks in the development, articulation, and implementation of coding practices for a team. Working with large datasets using big data technologies and script. Formulating, approaching, analysing, and solving analytical problems using a quantitative, scientific approach. Managing data to scale using data summarization, query and analysis software and tools. Developing and managing projects and effectively leading interdisciplinary teams to accomplish project goals. #LI-DNI PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at ************. Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

Job Description Empower Your Future: At MetOx International, we're pioneering the next era of energy security and abundance through breakthrough superconducting technology. As a Senior Data Scientist, you'll join a dynamic team committed to strengthening the world's energy systems to make them more resilient, efficient, and reliable. Based at our global headquarters in Houston, TX, the Senior Data Scientist will lead advanced analytics, modeling, and machine learning efforts across our manufacturing operations. In this role, you will partner closely with R&D, process engineering, quality, and operations to translate complex process challenges into data-driven insights that improve yield, quality, and scalability. This is a highly technical, hands-on role for someone who thrives at the intersection of process engineering, applied mathematics, and industrial data science, and who is excited to drive measurable impact in advanced materials manufacturing. Key Responsibilities Process Analytics & Optimization Develops and deploys statistical models for process characterization, optimization, and quality control in superconductor manufacturing. Designs and executes design of experiments (DOE) to identify critical process parameters and optimize production outcomes. Implements statistical process control (SPC) methodologies including multivariate control charts and process capability analysis. Conducts root cause analysis using advanced statistical techniques combined with process engineering knowledge. Advanced Modeling & Machine Learning Builds physics-informed models that combine first-principles engineering with machine learning approaches. Develops predictive models for yield optimization, defect detection, and predictive maintenance. Applies time-series analysis and forecasting for process monitoring and anomaly detection. Implements computer vision and machine learning solutions for automated quality inspection. Mathematical Modeling & Simulation Applies advanced mathematical techniques including optimization theory, differential equations, and numerical methods to solve complex manufacturing challenges. Develops digital twins and process simulation models for scenario analysis and process improvement. Performs multivariate statistical analysis to understand complex interactions in manufacturing processes. Builds decision support tools using mathematical optimization for production planning and resource allocation. ⠀Data Infrastructure & Pipeline Development Designs and implements scalable data pipelines for real-time process monitoring across manufacturing operations. Integrates data from multiple sources including SCADA systems, MES platforms, databases, and sensor networks. Develops automated reporting systems for KPI tracking, process drift detection, and quality metrics. Establishes best practices for data governance, version control, and reproducible research. Technical Leadership & Collaboration Leads cross-functional data science projects involving R&D, process engineering, quality, and operations teams. Mentors junior data scientists and engineers on statistical methods, machine learning, and best practices. Translates complex process engineering challenges into tractable data science problems. Communicates analytical findings and recommendations to technical and executive stakeholders. Drives adoption of data-driven decision-making and advanced analytics across the organization. Other duties as assigned Minimum Qualifications: Bachelor's degree in Chemical Engineering, Materials Science, Applied Mathematics, Statistics, Data Science, or related technical field. 4 years of professional experience in data science or analytics within manufacturing, process engineering, or industrial R&D environments. Demonstrated experience in statistical process control, design of experiments, and process optimization. Preferred Qualifications: Master's or PhD in Chemical Engineering, Materials Science, Applied Mathematics, Statistics, or related field. Experience in process-intensive industries (semiconductor, chemical, pharmaceutical, or advanced materials manufacturing). Six Sigma Black Belt or equivalent process improvement certification. Experience with superconductor manufacturing, electrochemistry, thin-film deposition, or related materials processes. Publication record in process engineering, applied statistics, or machine learning. Experience with industrial automation systems (SCADA, MES, OPC, MQTT). Knowledge, Skills, & Abilities: Process Engineering & Domain Knowledge Deep understanding of manufacturing processes, unit operations, and process dynamics. Expertise in statistical process control (SPC), process capability analysis (Cp, Cpk), and control chart theory. Proficiency with design of experiments including factorial designs, response surface methodology, and Taguchi methods. Knowledge of quality management systems and continuous improvement methodologies. Strong foundation in mathematical modeling and advanced statistical methods Expert knowledge of multivariate statistics, time-series analysis, hypothesis testing, and Bayesian inference. Strong foundation in linear algebra, calculus, differential equations, and optimization theory. Experience with dimensionality reduction techniques (PCA, PLS, factor analysis). Understanding of numerical methods and computational algorithms. Machine Learning & AI Advanced proficiency in machine learning techniques including regression, classification, ensemble methods, and neural networks. Experience with computer vision and deep learning frameworks (TensorFlow, PyTorch, YOLO, etc.). Knowledge of model validation, cross-validation, and hyperparameter optimization. Familiarity with MLOps practices for model deployment and monitoring. Technical Programming & Tools Expert-level programming in Python (NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, Plotly). Proficiency with statistical analysis software (Minitab, JMP, or equivalent). Advanced SQL skills for complex data extraction and manipulation from manufacturing databases. Experience with version control (Git), containerization (Docker), and CI/CD practices. Familiarity with data visualization platforms (Grafana, Tableau, Power BI, Metabase). Soft Skills & Leadership Exceptional analytical and problem-solving abilities with attention to detail. Strong communication skills with ability to explain complex mathematical and statistical concepts to diverse audiences. Proven ability to lead projects and mentor team members. Self-motivated with ability to work independently and manage multiple priorities. Collaborative mindset with experience working across engineering, operations, and business functions. Strategic thinking with ability to connect data insights to business objectives. Physical Demands: This position requires sitting at a desk and viewing a computer screen for extended periods while working or performing other office tasks. Ability to move around the office, including occasional standing, walking, and bending to retrieve documents, attend meetings, or use office equipment. Some light lifting may be required, up to 20 lbs. MetOx is proud to offer competitive benefits including: Health, dental, and vision available on the first day of employment 401(k) match Paid parental leave & adoption assistance Educational reimbursement And more! We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Description Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works. What Cognite is Relentless to achieve We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you'll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership The Senior Data Science team at Cognite plays a crucial role in building data-driven solutions that empower our clients to make impactful business decisions. As a Senior Data Scientist at Cognite, you will work on challenging data problems with leaders in the industry. You will be a part of cross-functional teams that include data engineers, solution architects, and project managers. Together, your focus will be on configuring, deploying, and operationalizing digital solutions in sectors such as Oil and Gas, Power & Utilities, and Manufacturing. Additionally, you will engage with clients and Subject Matter Experts (SMEs) to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles, ensuring the technical solution aligns with industrial reality. The Data Science team is a part of the AMER delivery team in our Global Delivery organization. Global Delivery is truly global, with offices in Houston & Phoenix (USA), Tokyo (Japan), Oslo (Norway), and Bengaluru (India). We are a good mix of Project Managers, Senior Data Scientists, Data Engineers, and Solution Architects with deep domain expertise. We are responsible for delivering successful projects that are flexible and scalable, and foster adoption of our product. In sum, we derive valuable insights from previously hidden data, enabling workers and leaders to transform how heavy asset industries operate to become more efficient and sustainable. As a Senior Data Scientist you are responsible for the following, but not limited to: Develop and deploy scalable solutions for customer use cases from Oil and Gas, Manufacturing, and Power & Utilities industries using Cognite's core capabilities. Participate in intensive use case generation workshops with Subject Matter Experts (SMEs) to understand the problem, industry domain knowledge, and how it maps to the data. Perform data cleansing and exploratory data analysis. Implement physical models / machine learning models in Python and deploy to our model hosting environment. Design and develop domain-specific information and data models. Apply GenAI techniques to enhance data-driven decision-making in customer use cases. Develop robust front-end User Interfaces (UIs) and dashboards using Streamlit, Grafana, Power BI, Plotly or Dash. Experience with React for bespoke UI development is a plus. Leverage strong understanding of solution architecture to ensure deployed solutions are flexible, scalable, and fully integrated into the client's industrial landscape. Utilize and contribute to solution templates and best practices within the Data Science team. Mentoring and coaching junior team members is an important part of being a Senior at Cognite. Collaborate with data engineers, project managers, and solution architects on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform. Support customers and partners in conducting data science tasks with Cognite products. The Impact you bring to Cognite We believe most of these should match your experience: Bachelor/Master of Science in a quantitative field or mechanical, systems, electrical, or industrial engineering. 5+ years of full-time work experience as a Senior Data Scientist (preferably within related industry), or Senior Data Scientist with domain expertise in Oil and Gas or Manufacturing. Proficient experience with Python and SQL. Experience with Python in a production setting is a plus. Experience with machine learning methods and techniques, statistics and/or optimization as well as physics based modeling. Experience with Git. Experience working customer-faced, with external customers. Front-end development experience with frameworks such as React or native knowledge of UI platforms like Streamlit/Dash is highly desired. Understanding of solution architecture, system design, and deployment best practices in a cloud environment. Experience with managed cloud services such as GCP, Azure or AWS is a plus. Strong domain knowledge or a good understanding of Industry and Asset Performance Management-covering areas like production optimization-is a big plus. (As key CDF advisors, we want our Senior Data Scientists to have a good understanding of our customer data, and assist them in understanding how CDF can help solve their problems related to production optimization). Enjoy working in cross-functional teams. Able to deliver independently, coach and mentor others internally. Enjoy challenges and dare to set ambitious goals that drive innovation. Humility to ask for help and enjoy sharing knowledge with others. Equal Opportunity Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works. What Cognite is Relentless to achieve We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you'll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership The Senior Data Science team at Cognite plays a crucial role in building data-driven solutions that empower our clients to make impactful business decisions. As a Senior Data Scientist at Cognite, you will work on challenging data problems with leaders in the industry. You will be a part of cross-functional teams that include data engineers, solution architects, and project managers. Together, your focus will be on configuring, deploying, and operationalizing digital solutions in sectors such as Oil and Gas, Power & Utilities, and Manufacturing. Additionally, you will engage with clients and Subject Matter Experts (SMEs) to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles, ensuring the technical solution aligns with industrial reality. The Data Science team is a part of the AMER delivery team in our Global Delivery organization. Global Delivery is truly global, with offices in Houston & Phoenix (USA), Tokyo (Japan), Oslo (Norway), and Bengaluru (India). We are a good mix of Project Managers, Senior Data Scientists, Data Engineers, and Solution Architects with deep domain expertise. We are responsible for delivering successful projects that are flexible and scalable, and foster adoption of our product. In sum, we derive valuable insights from previously hidden data, enabling workers and leaders to transform how heavy asset industries operate to become more efficient and sustainable. As a Senior Data Scientist you are responsible for the following, but not limited to: Develop and deploy scalable solutions for customer use cases from Oil and Gas, Manufacturing, and Power & Utilities industries using Cognite's core capabilities. Participate in intensive use case generation workshops with Subject Matter Experts (SMEs) to understand the problem, industry domain knowledge, and how it maps to the data. Perform data cleansing and exploratory data analysis. Implement physical models / machine learning models in Python and deploy to our model hosting environment. Design and develop domain-specific information and data models. Apply GenAI techniques to enhance data-driven decision-making in customer use cases. Develop robust front-end User Interfaces (UIs) and dashboards using Streamlit, Grafana, Power BI, Plotly or Dash. Experience with React for bespoke UI development is a plus. Leverage strong understanding of solution architecture to ensure deployed solutions are flexible, scalable, and fully integrated into the client's industrial landscape. Utilize and contribute to solution templates and best practices within the Data Science team. Mentoring and coaching junior team members is an important part of being a Senior at Cognite. Collaborate with data engineers, project managers, and solution architects on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform. Support customers and partners in conducting data science tasks with Cognite products. The Impact you bring to Cognite We believe most of these should match your experience: Bachelor/Master of Science in a quantitative field or mechanical, systems, electrical, or industrial engineering. 5+ years of full-time work experience as a Senior Data Scientist (preferably within related industry), or Senior Data Scientist with domain expertise in Oil and Gas or Manufacturing. Proficient experience with Python and SQL. Experience with Python in a production setting is a plus. Experience with machine learning methods and techniques, statistics and/or optimization as well as physics based modeling. Experience with Git. Experience working customer-faced, with external customers. Front-end development experience with frameworks such as React or native knowledge of UI platforms like Streamlit/Dash is highly desired. Understanding of solution architecture, system design, and deployment best practices in a cloud environment. Experience with managed cloud services such as GCP, Azure or AWS is a plus. Strong domain knowledge or a good understanding of Industry and Asset Performance Management-covering areas like production optimization-is a big plus. (As key CDF advisors, we want our Senior Data Scientists to have a good understanding of our customer data, and assist them in understanding how CDF can help solve their problems related to production optimization). Enjoy working in cross-functional teams. Able to deliver independently, coach and mentor others internally. Enjoy challenges and dare to set ambitious goals that drive innovation. Humility to ask for help and enjoy sharing knowledge with others. Equal Opportunity Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

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

The Gynecologic Oncology and Reproductive Medicine department at MD Anderson's Cancer center is internationally renowned for research-driven patient care, specializing in the medical and surgical treatment of all types of gynecologic cancers including ovarian, vaginal, vulvar, endometrial and cervical cancers, as well as malignant ovarian germ-cell tumors, ovarian sex-cord stromal tumors, borderline tumors of the ovary, cervical intraepithelial neoplasia, human papillomavirus and gestational trophoblastic disease. The ideal candidate experience in analyzing spatial biology datasets (proteomics, metabolomic and transcriptomics). Salary range: Minimum $88,000.00 - Midpoint $110,000.00 - Maximum $132,000.00 *KEY RESPONSIBILITIES* *1. Computational Analysis & Pipeline Development* * Assist in the analysis, design and development of pipelines, algorithms and software for the analysis, exploration, and visualization of data generated using exome/whole genome sequencing, RNA-seq, ChIP-seq, ATAC-sequencing, chromatin conformation capture sequencing (e.g. Hi-C and similar methods) and spatial transcriptomics in a timely fashion. * Apply statistical and machine learning techniques to derive insights from complex, high-dimensional datasets, including in-house and public data (e.g., TCGA, CCLE, GTEx, GEO). * Run workflows for somatic mutation calling, copy number analysis, transcriptional profiling, clonality estimation, and mutational phylogeny inference on matched tumor/normal and longitudinal samples. * Run workflows for protein and metabolites analyses and integrate these datasets with abovementioned transcriptomics profiles. * Independently plan and adapt novel computational approaches to support evolving research needs and emerging experimental technologies in genomics, spatial, and single-cell omics. *2. Workflow Development, Data Management & Reproducibility* * With direction, develops and maintains bioinformatics tools and infrastructure using Python, R, Docker, Conda and other tools; create well-organized, reusable, and user-friendly workflows to support lab-wide analyses. * Generate custom visualizations and perform downstream analyses including gene expression profiling, mutation analysis, gene set enrichment, pathway analysis, protein and metabolomic analyses. * Ensure reproducibility and transparency by organizing data, documenting code, version-controlling pipelines, and maintaining clear scientific records in notebooks and shared repositories. * Contribute to the implementation of robust data stewardship practices and help maintain a scalable, collaborative analysis environment leveraging high-performance computing (HPC) systems. *3. Collaboration, Communication & Scientific Engagement* * Collaborate with experimental biologists, wet lab members, data scientists, and cross-functional institutional teams to integrate omics data with biological and clinical datasets and harmonize metadata across studies. * Assist with the preparation of manuscripts, figures, abstracts, grant proposals, and internal reports as well as for presentation at lab meetings, departmental reviews, and institutional events. * Communicate complex analytical findings effectively to both technical and non-technical audiences through presentations, visual summaries, and written reports. * Conduct literature reviews and stay current with emerging tools and trends in genomics, computational biology, and biomedical data science to inform pipeline development and project planning. * Support mentoring and onboarding of students, fellows, and research personnel by contributing to training in computational methods and analytical workflows. * Performs other duties as assigned. *EDUCATION* *Education Required: *Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. *EXPERIENCE* *Experience Required: *Two years experience in scientific software or industry development/analysis. *Experience Preferred: *Experience in analyzing spatial biology datasets (proteomics, metabolomic and transcriptomics). The University of Texas MD Anderson Cancer Center offers excellent ******************************************************************************************************* 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 * Requisition ID: 178221 * Employment Status: Full-Time * Employee Status: Regular * Work Week: Days * Minimum Salary: US Dollar (USD) 88,000 * Midpoint Salary: US Dollar (USD) 110,000 * Maximum Salary : US Dollar (USD) 132,000 * FLSA: exempt and not eligible for overtime pay * Fund Type: Soft * Work Location: Hybrid Onsite/Remote * Pivotal Position: Yes * Referral Bonus Available?: Yes * Relocation Assistance Available?: Yes \#LI-Hybrid

Job Title: DATA SCIENTIST Job Code: SES407 At Shell Energy Solutions, we believe there's a better way to power your business. Aligned with Shell's ambition to be a significant global power business and to become net zero by 2050, our cleaner, affordable, and simple solutions help companies manage their energy spend and plan their sustainability roadmap - a fresh approach for environmentally conscious businesses that are looking to boost their sustainability credentials. We also have set out to deliver the very best experience to our customers across all our channels. Shell Energy Solutions' mission is to deliver cleaner energy solutions for a brighter tomorrow by guiding customers toward a better energy future, enabling customer choice, and providing market-leading energy solutions. Going above and beyond for our customers is what we're all about and we have set out to deliver the very best experience to our customers across all our channels. But bigger challenges lie ahead, and we need to keep moving forward. Are you ready to help us get there? WHERE YOU FIT IN We are looking for a highly motivated individual with a genuine interest in energy, technology, and a passion to deliver products for a growing company. As the Data Scientist, you will own the end-to-end pipeline for load forecasting, encompassing development, deployment, and integration with downstream services. You will engage in cross-functional projects, collaborating within our team and various teams across the organization to ensure seamless integration and alignment with business objectives. Your work will directly impact the company's ability to make informed decisions, optimize operations, mitigate risks, and drive business growth. Reporting to the Senior Machine Learning Engineer, the role requires a self-motivated, dedicated, and responsible individual with the ability to perform well under pressure. JOB DUTIES & RESPONSIBILITIES (Main RESPONSIBILITIES and duties) Dig deep into available data to identify patterns, create datasets for predictive models, and improve the accuracy and precision of existing forecasting services Apply state-of-the-art machine learning and predictive modeling techniques to provide a deeper understanding of our customers and improve accuracy of our load forecasts Integrate the outcomes of load forecasting models into downstream services, such as gross profit reporting, to address key business needs Develop key metrics and visualizations to monitor and assess the performance of load forecasts, ensuring their accuracy and reliability Communicate modeling and engineering technical detail to stakeholders and partners to drive impact and facilitate decision making Other duties as assigned ESSENTIAL SKILLS AND EXPERIENCE (Skills Needed to be SUCCESSFUL) Successful job applicants will be able to perform these functions. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions. 1-3 years of experience using SQL to query large datasets in cloud-based data warehouses and data lakes 1-3 years of experience with machine learning and statistical methods, bonus points if experience is in time-series forecasting 1-3 years of experience in machine learning development in Python Fluency with data visualization to communicate complex topics in approachable ways Strong background in mathematics and statistics Excellent communication skills, with the ability to deliver complicated findings and explain technical approaches to a variety of audiences Bonus if you have contextual work in the energy industry Bonus if you have experience with key data engineering frameworks: Apache Airflow, dbt, AWS services, Docker, Kubernetes Bonus if you have experience with software development lifecycle experience in GitHub (i.e. environment management, testing, deployment) Bonus if you have experience at a similar scale of data processing (Multi-TB/billion of rows) Bonus if you have experience with probabilistic modeling techniques such as Bayesian or conformal models Bonus if you have experience with machine learning frameworks: scikit-learn, Tensorflow/Keras, lifelines Bonus if you have experience with Hyper Parameter tuning frameworks such as Optuna Bonus if you have experience with cloud-based data intelligence platforms and ML tools such as Databricks, AWS Sagemaker, MLFlow Location and work SCHEDULE Remote Environment BENEFITS OF WORKING WITH Shell ENERGY Competitive Compensation Health Care - Medical/Dental/Vision/Prescription Drug Coverage 401(k) with Company Matching Contributions Flexible Spending Accounts (FSA) Health Savings Accounts (HSA) Disability Programs (STD & LTD) Employee Basic Term Life Insurance Generous Vacation & Company Holidays Flexible hybrid working schedule Training and coaching Tuition Reimbursement Paid Parental Leave And much more! SHELL ENERGY VALUES Shell Energy Solutions is a company with shared values. Honesty, integrity, and respect aren't simply a strapline; they are part of everything we do. What's more, Shell Energy Solutions is an equal opportunities company, and we place the highest possible value on the diversity of our people and our inclusive approach. Join us and you'll belong to a world where you are proud of your achievements and propel your career with global opportunities. We care deeply about fostering a truly diverse workplace. *Job descriptions are not intended as, nor should be construed to be, exhaustive lists of all responsibilities, skills, efforts, or working conditions associated with a job. They are intended to be accurate reflections of those principal job duties and responsibilities essential for making fair pay decisions about the job.

We are looking for a Lead AI/Data Scientist for our top Energy Trading client. We need someone who is a do-er with proven execution experience. This is a full-time position without sponsorship. is onsite 5 days a week in Houston.

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

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 * Senior Data Scientist * Data Engineer III

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.

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

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

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

Houston, TX (Onsite) | Contract | Mid-Senior Level | 1 Opening Pay Rate: $90/hour No Visa Sponsorship A leading organization in the energy sector is seeking an experienced Business Data Scientist III to support mission -critical commercial systems, analytics, and regulatory processes. This role is highly cross -functional, serving as the bridge between commercial teams, IT, regulatory stakeholders, and operations, with a strong focus on scheduling, contracting, analytics, and Electronic Bulletin Board (EBB) systems. This position is ideal for a seasoned professional with deep oil & gas industry experience, strong data analysis skills, and the ability to lead complex initiatives in a regulated, 24/7 operational environment. Position Overview The Business Data Scientist III provides advanced analytical, system, and process support for commercial and regulatory operations. The role includes ownership of data analysis, reporting, system enhancements, and continuous improvement initiatives, while also serving as a functional lead and subject matter expert for scheduling, contracting, and EBB -related systems. This role supports both internal and external customers and may involve 24/7 production support responsibilities for mission -critical systems. Key Responsibilities Provide 24/7 internal and external customer support for mission -critical commercial systems, serving as a liaison between business users and IT Act as a firewall between customers and IT by validating system issues, logging defects, coordinating testing, and ensuring compliant delivery Lead collaboration across commercial, IT, regulatory, and operations teams to design and implement business processes, workflows, and technology solutions Design and develop prototypes, proof of concepts, and analytical models for data mining and production use Develop, test, and implement analytical tools and dashboards to support commercial decision -making, customer insights, market trends, and process efficiencies Ensure Electronic Bulletin Board (EBB) systems operate in compliance with regulatory requirements, supporting enhancements tied to expansion and growth initiatives Serve as business lead for EBB, analytics, and data visualization enhancements, including requirements gathering, testing, deployment, and post -implementation support Act as a change agent by developing procedures, improving workflows, and identifying operational efficiencies Prepare and support revenue budgeting, forecasting, and monthly reporting for stakeholders Perform statistical analysis and leverage data to drive insights and predictive outcomes RequirementsRequired Qualifications Bachelor's degree in Accounting, Finance, Economics, Engineering, or a related field (Master's degree preferred) Minimum 6+ years of experience in the energy industry (oil & gas) Strong understanding of scheduling and contracting processes (pre -flow, flow, post -flow) Hands -on experience with Electronic Bulletin Board (EBB) systems Experience supporting 24/7 mission -critical systems Advanced proficiency in Microsoft Excel (pivot tables, macros, complex formulas) Strong experience with Power BI or equivalent business intelligence tools Ability to pull and analyze complex data from relational databases Proven ability to perform statistical analysis Experience leading or coordinating cross -functional teams with competing priorities Preferred Skills Knowledge of tariffs, rates, and regulatory compliance frameworks Familiarity with machine learning-based analytical tools Experience acting as a subject matter expert for commercial or operational systems