Data scientist jobs in Galveston, TX

Benefits: 401(k) Competitive salary Dental insurance Health insurance Paid time off A Lead Data Scientist is responsible for managing data science projects, leading a team, and utilizing advanced analytics to drive business decisions and product improvements.Key Responsibilities Team Management: Lead and mentor a team of data scientists, machine learning engineers, and big data specialists to foster professional growth and collaboration. Project Planning: Oversee the planning and execution of data science projects, ensuring alignment with organizational goals and objectives. Model Development: Build and optimize analytical models using machine learning, natural language processing, and statistical techniques to derive insights from large datasets. Data Analysis: Analyze various data sources, including procurement, supply chain, and healthcare data, to inform business strategies and product development. Problem Solving: Identify and address data development challenges, proposing innovative solutions to enhance data utilization across the organization. Methodology Development: Lead the development and maintenance of methodologies that support product offerings, including statistical modeling and time-series analysis. Stakeholder Collaboration: Work closely with business leaders and other departments to communicate analytical findings and drive data-driven decision-making. Required Skills and Qualifications Educational Background: Typically requires a Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related field. Technical Expertise: Proficiency in data manipulation, visualization, and machine learning techniques, with experience in programming languages such as Python, R, or SQL. Analytical Skills: Strong problem-solving abilities and a knack for statistical analysis to interpret complex data sets effectively. Leadership Skills: Experience in managing teams and projects, with the ability to mentor junior data scientists and foster a collaborative environment. Communication Skills: Excellent verbal and written communication skills to convey complex analytical concepts to non-technical stakeholders. Salary Expectations $125,000 - $140,000 Compensation: $125,000.00 - $140,000.00 per year PROVIDING QUALITY STAFFING AND CONSULTING SINCE 2011 Based out of San Antonio, Tex as, our minority women-owned company specializes in all staffing and consulting needs. Whether you're trying to hire a pharmacist, a respiratory therapist, or skilled and non-skilled laborer, we will staff your company with the best candidate. We bring extensive experience and professionalism and we will personalize our assistance to your needs and concerns. Most of our contracts are with the Army and Air Force as Sub-Contractors. Our staff has a quick turn around and have been able to fill positions within 48 hours with short notice, we have filled hard to fill locations and jobs, and managed over 16 contracts with over 70 employees at a time. Managed call-ins at 24/7 hospitals and ensured shifts were filled, and managed PRNs with notice of less than 24 hours. Also, provided temp laborers for next day jobs. Our consulting division provides contracting assistance, program managing, application assistance, certification assistance and proposal writing. We are very knowledgeable in a variety of areas and are eager to assist your company's prosperity.

**Remote Opportunity** Based in Houston, Texas, with offices in London and New York, SynMax is a pioneering data intelligence company specializing in maritime and energy intelligence. By integrating advanced satellite imagery and AI, SynMax delivers unparalleled insights into maritime operations, oil and gas development, coal inventory, and LNG flows, enabling businesses and organizations to make data-driven decisions with precision and confidence. Job Description:We are seeking a talented Data Scientist with expertise in algorithm development, Google Cloud Platform, geospatial data analysis, and relational databases to join our team. As a Data Scientist at SynMax, you will play a leading role in developing solutions for industry disrupting analytics software. The ideal candidate will have experience with data fusion. To succeed in this role you will be highly motivated and adaptable to changing needs as our company grows. Responsibilities Collaborate with analysts and domain experts to understand business requirements and translate them into technical product solutions. Design and implement probabilistic and deterministic algorithms for information extraction and fusion from a variety of remote sensing and proprietary data sources. Perform exploratory data analysis for problem definition and refinement. Develop and test candidate algorithms to demonstrate tradeoffs for final selection. Assemble and clean training and test datasets. Perform model training. Iterate to meet model performance requirements. Develop and maintain Python-based applications for processing volatile live data streams on Google Cloud Platform. Work closely with relational databases and execute complex queries to extract actionable insights from geospatial data. Optimize application performance and scalability to ensure flawless operation under heavy load conditions. Implement best practices for code quality, testing, and deployment automation in a continuous integration and deployment (CI/CD) environment. Stay updated on emerging technologies and industry trends related to real-time data processing, algorithms, machine learning, geospatial analysis, and cloud computing. Qualifications PhD or MS degree in Computer Science (preferred), or STEM field. Ability to apply machine learning, statistics, and optimization principles to problem solving. Experience in linear programming and graph based methods are a plus. 2 years minimum experience in a Data Scientist role. Hands-on experience building Google Cloud Platform highly scalable data processing pipelines for volatile live data streams. Ability to take ownership of project tasks through to completion, producing positive outcomes despite unforeseen complexity. Knowledge of geospatial data formats (e.g., GeoJSON, Shapefiles), libraries (e.g., Geopandas, GDAL, Fiona, Shapely) and spatial database query syntax (e.g., PostGIS) Proficient in image processing, algorithm and machine learning libraries (SciPy, Pytorch, Tensorflow, Scikit-Image, Scikit-Learn, OpenCV) The ability to work effectively in a team environment with remotely located staff in different time zones, demonstrating strong communication and coordination skills. What We Offer Competitive salary and benefits package. Opportunities for professional development and career growth. A dynamic and collaborative work environment where innovation is encouraged. Access to the latest tools and technologies. Equal Opportunity Statement:SynMax is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Context & Environment TotalEnergies Gas and Power is the trading arm of TotalEnergies, focused on low‑carbon energies including gas, LNG, and power. Operating in fast‑evolving markets, the business must constantly adapt to dynamics shaped by both internal and external factors. Price volatility, supply‑demand imbalances, and broader energy sector shifts-such as climate policies, changes in the energy mix, and the rise of new energy sources-create a complex environment. Within this context, trading plays a critical role in driving growth and profitability across a key segment of the business, supporting TotalEnergies' ambition to achieve carbon neutrality by 2050. Activities Role Overview: Purpose: The position is within the Modelling and Analysis for Trading Strategy (MATS) department, which is responsible for the end-to-end design and development of comprehensive quantitative models, state-of-the-art analytical and AI tools, and research that help optimize trading decisions across all TGP trading desks. Positioned at the strategic interface between Trading, Risk Management and IT, it guarantees the agility, robustness and continuous innovation of the algorithms driving TGP market strategy. Objectives: Develop and maintain high-performance algorithmic and AI-driven quantitative products tailored for trading and energy optimization. The teams' key role is to build and maintain long-lasting frameworks for various advanced use cases (e.g. forecasting, AutoML, optimization, physical dispatch, backtesting, etc.), capable to adapt to diverse trading strategies as well as effectively address complex challenges such as pricing, hedging, trading, transactions, and asset management. The team is committed to driving innovation while delivering enduring product excellence. The team comprises highly skilled data scientists, software and quant developers, with deep domain expertise in energy and commodities markets. Impact: The role directly impacts TGP's trading performance by contributing to long-term P&L growth through scalable, reusable and intelligent solutions that last. Such a role demands strong technical skills, critical thinking and a team spirit Location: Based in Houston, TX Key Responsibilities: * Develop scalable, reusable frameworks that drive long-term P&L growth and adapt to evolving business needs. * Enhance and maintain production-grade solutions, ensuring rapid feature delivery, minimal technical debt, and long-term reliability. * Support analysts, data scientists, and traders by clearly presenting features and guiding effective use of tools. * Collaborate with partner teams to co-develop specialized tools while maintaining architectural standards. * Apply advanced quantitative techniques, build visualization/simulation applications, and promote best development practices. * Document solutions thoroughly and communicate regularly with MATS and trading desks to align with business challenges and opportunities. Candidate Profile Key Qualifications: * Strong technical/engineering background (BEng/MSc in a quantitative field); fluent in English with international/multicultural experience a plus * 3+ years' Python development experience, including scalable, well-tested code, debugging, and refactoring legacy systems; skilled in CI/CD, containerization, databases, APIs, and visualization dashboards * 2+ years' energy trading experience with knowledge of US gas and power markets; capable of developing algorithms for backtesting, portfolio optimization, asset pricing, and dispatch * Solid foundation in data science, machine learning, deep learning, and quantitative algorithms (e.g., time series forecasting, optimization) * Collaborative, adaptable, and innovative team player with clear communication skills; familiar with AWS, Spark, Prefect, Flask, REST, GraphQL, SQL, MongoDB, Plotly/Dash, TensorFlow, and PyTorch Additional Information TotalEnergies values diversity, promotes individual growth and offers equal opportunity careers.

VERY URGENT AND IMMEDIATE NEED. Note: Need Only US Citizen, Green Card, EAD-GC, J2 EAD, H4 EAD, L2 EAD, and TN Visa. Job Title: Data Scientist Duration: 06+ Months Contract Note: Oil, Gas and energy background in Preferred Job Description: You will work with a team of data engineers and scientists who use data and apply cutting statistical machine learning models to build forecasting models for different energy markets. The entire Data team works collaboratively and is a strong partner for teams across the company. You will get to meet and learn from diverse and talented colleagues. Specific responsibilities include: Analyze energy time series and summarize the statistical properties of energy signals Build predictive models and forecast signals for day-ahead consumption data Evaluate the performance and compare the results with existing models Deploy the best model and document the result of this research Business Skills Excellent verbal, written, and interpersonal communication skills Strong understanding of the product development lifecycles Strong understanding of software development, testing and integration methodologies Personal effectiveness/credibility Strong problem solving and analysis skills Technical Skills Proficiency with Python or R, SQL and familiarity with working in big data environments (2 years minimum) At least 2+ years of experience of deploying machine learning models and frameworks in production At least 3 years of experience with: Experiences in both Supervised and Unsupervised machine learning models (Regressions, Gradient Boosted methods, SVMs, Random Forests, Clustering) Familiar with python packages such as Pandas, SkLearn, Numpy etc Deep learning (CNN, RNN, LSTM) and framework library (e.g., Keras, TensorFlow, PyTorch) and Graph Neural Networks Evaluation and hypothesis testing. At least 3 years of experience with Cloud computing platforms such as AWS, Azure (preferably AWS) Standard concepts and technologies used in CI/CD build and deployment pipelines. At least 2 years of experience in distributed computing frameworks such as Spark or Pyspark is desirable.

Lead Data Scientist The Lead Data Scientist is responsible for driving advanced analytics initiatives and leading complex data science projects across the organization. This role oversees the analysis of large, diverse, and unstructured datasets using advanced statistical and machine-learning methods to support data-driven decision-making. The Lead Data Scientist partners with cross-functional teams, mentors other data scientists, and provides strategic insights on high-impact business challenges. This position typically reports to a Data Science Manager. Minimum Qualifications Education Bachelor's degree in Science, Engineering, Computer Science, Mathematics, Statistics, or another STEM-related field (required) Master's degree in Data Science preferred Experience / Knowledge / Skills 7+ years of data science experience Experience in healthcare analytics, hospital operations, medical informatics, EHR data, or healthcare IT (preferred) Strong business analysis capabilities, including workflow analysis, modeling, and process evaluation Deep understanding of machine learning techniques (e.g., clustering, neural networks, decision trees) and their practical applications Advanced proficiency in statistical methods (regression, statistical testing, distribution properties, etc.) Strong experience communicating insights, gathering requirements, and storytelling with data Advanced knowledge of the data science life cycle, model development, and deployment Proficiency in programming languages commonly used in data science (e.g., Python, R) Strong SQL skills and experience with large, complex datasets Exceptional problem-solving, analytical reasoning, and decision-making abilities Ability to manage multiple projects independently in fast-paced environments Excellent written and verbal communication skills for technical and non-technical audiences Strong project management skills with a commitment to delivering high-quality work Ability to troubleshoot and resolve data quality issues Experience working with time-series forecasting, A/B testing, clustering, and other data science methods Ability to mentor junior team members and support broader data literacy initiatives Principal Accountabilities Lead and manage high-impact data science projects that support business strategy and operational improvements Provide technical leadership and mentorship to data science team members Develop advanced statistical models, predictive algorithms, and machine-learning solutions Conduct research and analysis on structured and unstructured datasets to uncover actionable insights Maintain, evaluate, and refine existing analytical models to ensure accuracy and relevance Communicate findings clearly and effectively to leadership and cross-functional teams Partner with internal stakeholders to identify data issues and optimize data processes for efficiency and scalability Support evaluation and selection of data science tools and vendors Contribute to building data science best practices, frameworks, and methodologies Promote continuous learning, development, and knowledge sharing within the team Uphold organizational standards related to quality, compliance, and operational excellence Participate in professional development, continuing education, and team-based initiatives Perform additional responsibilities as assigned For more details reach at ******************************. About Navitas Partners, LLC: It is a certified WBENC and one of the fastest-growing Technical / IT staffing firms in the US providing services to numerous clients. We offer the most competitive pay for every position. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront.

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

People are our passion and purpose. Come work where you are valued for who you are, not just for what you can do. Remote Core Solutions provides tailored outsourcing and recruiting solutions, connecting high-performing talent with companies across a wide range of industries from startups to large enterprises. We take pride in matching candidates with roles where they can grow, innovate, and make an impact. About Our Client: Our client is a nationally recognized healthcare system focused on innovation, technology, and data-driven decision-making. Their enterprise data and analytics team supports transformative work across patient care, operations, and strategic initiatives. As they continue to invest in AI and data science, were helping them hire a dynamic Lead Data Scientist to spearhead strategic analytics projects, machine learning models, and executive-level insights across the organization. This role will be in person, in Houston, TX. About the Role: The Lead Data Scientist will lead critical enterprise-wide data science initiatives, manage high priority projects, and provide mentorship to junior data scientists. The ideal candidate is a hands-on builder who thrives at the intersection of healthcare, machine learning, and executive-level strategy. You'll be responsible for designing advanced models, leading stakeholder communication, and driving data science maturity across the organization. Responsibilities: Lead the design, development, and implementation of predictive and prescriptive data science models using healthcare and EHR datasets. Build, maintain, and validate machine learning algorithms for structured and unstructured data. Translate complex findings into actionable insights and present them to senior leadership and C-level executives. Develop custom data pipelines and oversee large-scale data set construction. Mentor junior data scientists and support ongoing training within the department. Serve as project lead on cross-functional initiatives involving clinical, finance, and operations data. Partner with key stakeholders to identify high-impact opportunities for analytics across departments. Maintain and optimize existing models, monitor model drift, and validate performance over time. Actively participate in vendor evaluations and provide recommendations for new tools and platforms. Ensure best practices in documentation, version control, and reproducibility across projects. Must-Haves: Bachelors Degree in a STEM related field (Science, Engineering, Mathematics, or Computer Science) Master's preferred. 7+ years of hands-on data science experience. Proven project leadership experience and ability to drive results independently. Strong communication skills with experience presenting to C-level stakeholders. Extensive experience building custom datasets and applying ML techniques (e.g., neural networks, regression models, clustering, forecasting). Cogito experience is required. AWS Certification is mandatory. Advanced experience with statistical programming (Python, R, or similar), SQL, and data visualization tools. Healthcare or hospital data environment experience preferred (e.g., EHR, revenue cycle, or clinical data). Interview Process: Recruiter Interview / Screening Hiring Manager Interview Final Panel Interview

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.

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

Brief Description: NexTier's Completions Data Science team brings together talented, driven professionals who turn complex operational data into clear insights and empower our organization to make smarter, data-backed decisions every day. You will work specifically with Operations and Maintenance departments to develop physics-driven models and reliability frameworks that predict equipment behavior and optimize maintenance strategies for our frac fleet. Detailed Description: In this role you will collaborate with Program Managers to lead the strategy and execution of hybrid physics and machine-learning models for equipment reliability. You will design and run first-principles simulations, integrate high-frequency telemetry into digital twins, deploy scalable model pipelines in the cloud and validate predictions against field data. Key Responsibilities: Define and guide the development of physics-ML reliability models (Weibull analysis, survival modeling, FMEA) Perform fluid-mechanics and mechanical simulations in Python or MATLAB and integrate outputs with telemetry streams Architect, deploy and monitor model training and serving pipelines on GCP AI Platform or Dataiku Establish validation protocols by coordinating with subject-matter experts to calibrate model assumptions Partner with maintenance, operations and field teams to align modeling efforts with business needs and data availability Identify new digital-twin use cases and build proof-of-concepts for early-warning systems and maintenance optimization Present technical findings to operations leadership, maintenance planners and engineering management Job Requirements: Prior experience in equipment reliability, predictive maintenance or physics-based modeling in oil and gas Expert programming skills in Python (SciPy, NumPy) for simulation and model development Strong foundation in reliability engineering methods such as Weibull analysis, survival modeling and FMEA Strong communication skills with the ability to explain complex models to non-technical stakeholders Ability to manage multiple priorities and deliver results on time Minimum Qualifications: Bachelor's degree in Mechanical Engineering, Petroleum Engineering, Physics or related field 5+ years of experience applying physics-based modeling or reliability engineering in industrial settings 3+ years building and deploying data-science algorithms on cloud platforms (AWS, GCP or Azure) 3+ years developing simulation code in Python Preferred Qualifications: Master's degree or higher in a quantitative engineering or physical science discipline Research publications or patents in equipment reliability, preventative maintenance or related areas Prior field experience in equipment maintenance Experience integrating physics-based models with machine-learning frameworks such as TensorFlow or PyTorch Working Condition: Work is primarily in a climate controlled / office environment with minimal safety / health hazard potential. The employee is regularly required to sit, stand, or walk with occasional lifting (overhead, waist level) from floor, bending and frequent near vision use for reading and use of computer, telephone, and other office equipment.

COMPANY The Company specializes in digital enablement and transformation using industry-leading process mining, data management and automation platforms. They help Fortune 500 companies become more process-efficient and improve their end-customer experience through the use of RPA, AI & ML powered solutions. The company has been growing at an accelerated pace and is looking to add experienced folks to their core technology team. POSITION SUMMARY we are looking for a Senior Data Scientist to help drive actionable insights using artificial intelligence and machine learning algorithms. The candidate should conduct and manage analysis and modelling in the areas of machine learning, neural networks, robotics etc. KEY RESPONSIBILITIES Work with business partners within one business process to align technology solutions with business strategies. Ability to translate business questions into analytical problems and recommend solutions using statistical modelling, text mining, machine learning, artificial intelligence techniques Utilize technologies to collect, clean and analyze data from multiple systems and mine insights Conceptualize, design, and deliver high quality solutions and insightful analysis using algorithms like Neutral Networks, Genetic Algorithm, Deep Learning, Reinforcement Learning and effectively communicates information Contribute to multiple projects and collaborate with other team members for timely and successful delivery. REQUIRED EXPERIENCE, SKILLS & EDUCATION 9+ years of relevant experience conducting text mining, NLP, machine learning, deep learning, artificial intelligence techniques-based models Tool Expertise - Python, R, SQL, SAS Good To Have Experience in working on Big data, Cloud, Hadoop, Spark, End to end deployment Strong background in developing and supporting very large-scale analytical solutions Ability to be an independent contributor to solve complex data-analytics problems Industry experience in High-Tech, Manufacturing, Retail, Pharma Master's degree in statistics, mathematics, computer science, business analytics

We're a nine-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work-and have a lot of fun while they're at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You'll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you. Job Description Our utility clients rely on data to operate smarter, cleaner, and more reliable grids. As a Power Systems Data Consultant at Logic20/20, you'll play a key role in delivering the technical backbone for system modernization projects across ADMS, DERMS, EMS, SCADA, and AMI. Your work in structuring, integrating, and interpreting operational data will directly support real-time decisions and long-term planning across the grid. Client Delivery and Data Integration Support delivery of utility-facing projects that involve system integration, modeling, and analytics Ingest and organize data from SCADA, EMS, AMI, ADMS, DERMS, weather, and other operational sources Apply the Common Information Model (CIM) to ensure consistency and interoperability across platforms Collaborate with client stakeholders and technical teams to define requirements and deliver clear, usable data models Analytics and Forecasting Support Develop models and analytics workflows that support forecasting, grid visibility, and event response Conduct system behavior analysis to detect trends, inconsistencies, or data quality issues Build scripts and tools in Python, SQL, or similar platforms to automate data transformation and validation Cross-System Coordination Assist in mapping and connecting operational platforms like ADMS, DERMS, EMS, AMIS, and planning tools Help validate CIM alignment across data layers and support migration efforts as needed Participate in design and testing of data pipelines, visualization dashboards, and reporting mechanisms Project Collaboration and Internal Growth Work closely with senior consultants and solution architects to align your technical work with broader delivery objectives Contribute to internal tools, frameworks, and accelerators used across utility projects Support documentation and knowledge sharing within the delivery team Qualifications 3-6 years experience working utilities or energy data platforms, ideally in a consulting or vendor support context Degree in electrical engineering, power systems, computer science, or a related field Working knowledge of CIM (IEC 61970/61968) and its structure Experience with grid systems (ADMS, DERMS, EMS, AMI, or SCADA) Proficiency in Python, SQL, or similar tools Additional Information All your information will be kept confidential according to EEO guidelines. At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $125,000 - $145,000.The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives. All your information will be kept confidential according to EEO guidelines. Learn more about life at Logic20/20! Visit our Life at Logic page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career! Core Values At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees-and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at ********************************************* Equal Opportunity Statement We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. To learn more about our DE&I initiatives, please visit: ************************************************************ Privacy Policy During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy.

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

Requirements: 3 to 8 years' experience. Bachelor's degree in Quantitative Science, Actuarial Science, or Mathematics. Any of the following certifications: FSA (Fellow of the Society of Actuaries) CERA (Chartered Enterprise Risk Analyst) MAAA (Member of the American Academy of Actuaries) ASA (Associate of the Society of Actuaries) ACAS (Associate of the Casualty Actuarial Society) FCAS (Fellow of the Casualty Actuarial Society). Responsibilities: Build complex financial models to assist businesses in decision-making, investments, and strategic planning. Help organizations predict and prepare for uncertain events, design effective financial strategies, and ensure long-term stability. Develop and apply actuarial models to evaluate financial risk and inform strategic decisions. Calculate premiums, reserves, and pricing for insurance products, ensuring profitability and regulatory compliance. Analyze complex datasets to forecast trends, assess liabilities, and provide actionable insights. Evaluate potential financial risks and develop strategies to mitigate them.

There's no pledge more important than the one we make to look after our environment, and we're committed to helping you do exactly that. Join us as we strive to ensure a sustainable future for our communities and the world we live in. Become part of our global network of skilled engineers, scientists, auditors, planners and environmental specialists, all working together to leave this world better than we found it. Who are we looking for? At GHD we are looking for a new Science Intern to join the Water & Wastewater Treatment team at our Houston, TX office. An individual contributor with recognized skills in a specialized role in the field of Research and Development. Limited or no prior experience in this role. Be part of the dynamic culture! Our workplace thrives on a hybrid model, combining in-office collaboration and flexibility. Join us in office, three days a week to contribute, connect and excel in our vibrant environment. Working with an energetic and high performing team, this position offers a variety of work and will see you involved in: Data Collection and Analysis: Produce accurate reports for others by collecting data from a variety of standard sources and inputting it into standard formats. Document Preparation: Prepare moderately complex documents using a variety of applications for technology devices, such as standard office software. Also responsible for gathering and summarizing data for reports. Research: Support others by carrying out a range of research activities. Data Management: Use data management systems to access specific information as and when required. Project Management: Support others by carrying out a range of project management activities. Health, Safety, and Environment: Follow the organization's health, safety, and environment (HSE) policies, procedures, and mandatory instructions to identify and mitigate environmental risks and risks to the well-being of self and others in the workplace; instruct the team in safe working methods; identify instances of risky behaviors within the team and take appropriate action, escalating serious issues as appropriate. Sampling and Testing: Collect a range of straightforward samples and undertake testing as directed and in accordance with defined processes and requirements to support regulatory compliance activity. Simulation and Modeling: Develop simple simulations or models to understand basic system or process behavior. Personal Capability Building: Develop and maintain excellent process or technical skills by participating in assessment and development planning activities as well as formal and informal training and coaching. What you will bring to the Team Education Currently enrolled in a environmental science or equivalent Bachelor's or Master's degree program Experience General Experience: No experience required. #LI-AL1 As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. GHD is an equal opportunity employer. We provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, genetic information, national origin, sex (including same sex), sexual orientation, gender identity, pregnancy, childbirth, or related medical conditions, age, disability or handicap, citizenship status, service member status, or any other category protected by federal, state, or local law.

As a Data Center Quality Inspector I, you provide superb quality control services for our clients. The work includes performing essential inspections of electrical equipment and systems, such as switchgear and substations. Detailed knowledge of mechanical and instrumentation is critical to conduct inspections and interpret electrical drawings and specifications. Attentively, you ensure the equipment and technicians around you comply with company and site safety requirements. You prepare detailed daily reports about your findings, including time tracking and special inspection reports. Diligently, you approve and submit important documents such as Lockout/Tagout (LOTO) requests, team reports, and time tracking reports. You take pride in assuring that our clients receive safely installed and functional equipment every time. If you are an analytical and detail-oriented individual who communicates effectively and prioritizes safety, this could be the position for you! Travel may be required. Responsibilities Ability to read and interpret electrical drawings and specifications. Prepare written documentation such as daily narratives (work reports), special inspection reports, and daily time tracking. Perform inspections of switchgear, standby generators, protective relays, and other electrical distribution components. Submit LOTO requests, review and approve team reports, and time tracking. Ensure compliance with all company and site safety requirements. Benefits Competitive pay, depending on experience. Medical, dental, vision, 401(k) with company match, among other benefits. Holidays and paid vacation time. Extensive learning and development opportunities. Requirements: Requirements High school diploma or equivalent. Higher education degree preferred. Minimum of two years of experience inspecting, testing, commissioning, or operating electrical distribution systems. Commercial or naval nuclear experience is strongly desired. OSHA 10-hour Construction Safety training. Commitment to excellence and high standards.

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

The Senior Data Engineer will play a critical role in building and scaling Crescent Energy's data platform to support analytics, reporting, and operational insights. This role requires deep expertise in Snowflake and cloud technologies (AWS) , with strong upstream oil & gas domain knowledge. The engineer will design and optimize data pipelines, enforce data quality and governance standards, and partner with business stakeholders to deliver reliable and scalable data solutions. Key Responsibilities: Data Architecture & Engineering Design, develop, and maintain data pipelines using Snowflake, AWS/Azure, and modern data engineering tools. Implement ETL/ELT processes to integrate data from diverse upstream systems (SCADA, production accounting, drilling, completions, etc.). Architect & develop scalable data models that support both operational reporting and advanced analytics use cases. Establish frameworks for data quality, validation, and lineage to ensure trust in enterprise data. Platform Development & Optimization Lead the build and optimization of Snowflake-based data warehouses, focusing on performance and cost efficiency. Design and implement cloud-native data solutions leveraging AWS/Azure services (e.g., S3, Lambda, Azure Data Factory, Databricks). Manage large-scale, time-series, and operational data processing workflows. Implement robust security, access management, and governance practices. Technical Leadership & Innovation Provide technical guidance and mentor junior team members. Evaluate and introduce new technologies and best practices to enhance data platform capabilities. Build reusable components, frameworks, and automation utilities to accelerate delivery. Support AI/ML initiatives by delivering production-ready, high-quality data pipelines. Business Partnership Partner with the stakeholders across all business units to capture and translate data requirements into technical solutions. Collaborate with analysts and data scientists to enable self-service analytics and business reporting. Deliver reliable data integration for regulatory and compliance reporting. Act as a bridge between technical teams and business leaders, ensuring alignment and impact. Qualifications & Experience: Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field. Advanced degree or relevant certifications (e.g., SnowPro, AWS/Azure Data Engineer, Databricks) preferred. Experience: 7+ years in data engineering roles with at least 3 years on cloud data platforms. Demonstrated expertise with Snowflake and at least one major cloud platform (AWS or Azure). Hands-on experience in upstream oil & gas data (wells, completions, SCADA, production volumes, reserves, etc.). Strong track record of delivering operational and analytical data pipelines. Skills & Competencies: Advanced SQL Server and Python skills. Strong background in data modeling, ETL/ELT, cataloging, lineage, and security. Familiarity with orchestration tools (Airflow, Azure Data Factory, etc.). Proficiency with CI/CD pipelines, version control (Git), and automated testing practices. Experience with BI and visualization tools (Power BI, Spotfire, Tableau). Understanding of AI/ML concepts and preparing datasets for analytics. Familiarity with Agile methodology and Scrum framework; able to work in iterative sprints and adapt to changing priorities. Strong communication and stakeholder engagement skills, with the ability to influence both executives and technical peers. Knowledge of data governance, security standards, and regulatory compliance within the energy sector. Crescent Energy is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, gender/pregnancy, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other legally protected status. Crescent Energy is also committed to compliance with all fair employment practices regarding citizenship and immigration status. If you require accommodation to complete the application process, please let us know by contacting ****************************

About Technip Energies At Technip Energies, we are more than just a leading engineering and technology company; we are pioneers committed to shaping a sustainable future. With over 65 years of experience and 15,000+ talented professionals worldwide, we deliver innovative solutions to real-world energy challenges. We believe in the power of collaboration, diversity, and an inclusive culture where your well-being is a top priority. Join us on a one-of-a-kind journey where you can take pride in Being Part of the Solution for the benefit of our planet, people, and communities. If you share our vision of driving the transition to a low-carbon future and are eager to develop your skills for tomorrow, then this could be the perfect opportunity for you. We are currently seeking a Data Science-Programming Intern to join our Engineering Methods & Systems Team based in Houston, Texas. Please note this is a Pipeline requisition created for future hiring in Summer 2026. About The Job In this exciting internship opportunity, you will gain hands-on experience using our engineering systems such as Aspen Basic Engineering, Smart P&ID, Smart Instrumentation, Smart 3D, and various in-house developed industry leading systems. You will directly contribute to innovative engineering projects and learn how to deliver exceptional value to clients. Working alongside a talented team of engineering tool administrators, information managers, and engineering discipline leads, you will help create, maintain, and deliver transformative solutions like the engineering data warehouse, data querying & auditing, data visualization, and digital twin. As a Data Science-Programming Intern, you will: Learn how to leverage a data-centric approach to enhance downstream data consumption, ensure seamless digital integration, and support the development towards digital twin solutions. Become familiar with the daily operations within one of the engineering systems and produce deliverables that contribute towards the output of an engineering project Have an opportunity to explore the underlying data behind an engineering system, present a data auditing or visualization proposal, and develop it into a working proof-of-concept Collaborate with engineering and IT teams to promote effective communication, facilitate problem-solving, and assist in building solutions. Develop and demonstrate strong communication skills, both verbal and written, to foster collaboration and resolve issues efficiently. This internship offers you a unique opportunity to gain real-world experience in a global environment where innovation, creativity, and teamwork are at the forefront of everything we do. About You We'd love to hear from you if your profile meets the following essential requirements: Minimum Qualifications: Entering 2nd year of college or higher and currently pursuing a Bachelor's degree in Computer Science (with specialization into Data Science or Data Analytics preferred) Additional major in engineering is a strong plus Languages: English with Professional Proficiency. Other languages could be useful as well when working with our overseas execution centers Effective communicator (spoken and written) Able to collaborate and be nimble to support others when necessary Problem solver with a strong desire to improve efficiency Preferred Skills: Exposure to data analytical and/or programming projects. Familiarity with querying in SQL, Oracle, or Access is strongly recommended Familiarity with PowerBI is a recommended Basic programming skills in VBA, VB.NET, Python, or C# is plus. Applicants must be authorized to work for any employer in the United States. Employment is contingent upon proof of eligibility to work in the United States. #LI-RH1