Data Scientist Jobs in Conroe, TX

180K-220K base salary U.S. Citizen or Green Card Holders Only On Site 4 Days a Week in Houston, TX : Our client operates in the automotive/retail/ supply chain space and is seeking a Lead Data Scientist with heavy logistics and supply chain industry experience. A background in working with logistics and supply chain data, as well as working on end-to-end data science projects is important for this position. Role Description: Translate business needs into analytics/reporting requirements for data-driven decisions. Stay updated with the latest data science techniques and technologies, implementing innovative solutions to enhance data analysis and modeling capabilities. Communicate complex data insights effectively to stakeholders across the organization, including non-technical audiences. Manage use case design and build teams, providing guidance as they develop and operationalize data science models. Ensure analytical insights and products are integrated into business processes. Guide and approve analytics/modeling approach, model deployment requirements, and quality assurance standards. Provide input to the long-term plan for the Data Science team, focusing on talent acquisition and technology platforms. Foster a culture of innovation and continuous improvement, exploring and adopting new data science technologies and methodologies. Work with business and technical stakeholders to identify new technologies and opportunities that deliver measurable business value. Own the analytics solution portfolio, including model maintenance and improvements over time. Skills and Experience: Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or related field, with 7+ years experience in a data science or similar role Industry experience working with logistics and supply chain data Strong proficiency in Python and SQL Extensive knowledge and working experience with Machine Learning libraries/frameworks, and data processing/visualization tools. (PyTorch, Tensorflow, NumPy, etc.) Strong communication skills with experience presenting to stakeholders and breaking down technical topics to non-technical team members Experience with cloud computing environments (AWS, Azure, GCP) and Data/ML platforms (Databricks, Spark) Recent leadership experience with direct reports Good understanding of programming best practices and building highly automated CI/CD pipelines

We've all thought about making the jump to Dubai or Abu Dhabi for obvious reasons, but there never is the perfect opportunity to do this as a data engineer. Well this unique hedge fund is looking to relocate talented data engineers into Abu Dhabi to join and accelerate an ever growing hedge fund. Who do you need to be? You're either: A Data Engineer within the Hedge Fund/ Trading space Coming from an outstanding educational background, and work with complex data sets If this is you - get in touch. Tech stack is open.

The Jr. Machine Learning / Data Scientist will be instrumental in assisting our team in solving complicated problems through data analysis. This person will collaborate closely with our data architect, analytics, and engineering teams to create, build, and improve machine learning models and data-driven solutions. This person will also assist with researching and evaluating off-the-shelf AI technologies and solutions to speed up our development process. Responsibilities also include: * Work closely with data architects, analysts, and information technology to collect, clean, and preprocess data to build high-quality datasets for analysis and model development. * Research and evaluate off-the-shelf AI products and tools, such as pre-built machine learning models, frameworks, and cloud-based solutions, to integrate into the development pipeline where applicable. * Assist in the design, training, and evaluation of machine learning software and models, including supervised and unsupervised learning techniques. * Assist with identifying relevant features and transforming raw data into meaningful inputs for data analytics and machine learning algorithms used across the Company. * Assist in analyzing model performance with relevant metrics and optimizing for accuracy and efficiency. * Document methodologies, experiments, and findings clearly, and present results to stakeholders in an understandable and actionable format. * Collaborate with cross-functional teams (engineers, analysts, product owners, IT, and software developers) to implement data-driven solutions. * Assist other departments with various projects when time permits. * Perform all duties so as to meet the responsibilities listed in the Employee and Corporate HSE Handbooks. * Perform duties according to the Company's quality system procedures and work instructions. The successful candidate will have a bachelor's degree in computer science, data science, statistics, mathematics, engineering, or similar discipline, along with a master's or PhD (recommended) in data science, machine learning, AI, applied statistics, and computational science. Experience with data-oriented programming languages, statistical software, database software, and a comprehensive knowledge of machine learning and deep learning methods and techniques is required. This is a Houston-based location. The ability to travel to Canada is essential. Please submit your application to Stephanie Mertz - Digital Strategy & Implementation Manager ****************** USA Drilling Optimization Manager We have an opening for a USA Drilling Optimization Manager based out of Houston or Midland TX. The USA Drilling Optimization Manager's primary goal is to maximize the performance and efficiency of the USA Prism Optimization Center, doing so by managing the flow of information from data collected at the well site and transferred to the optimization center to be distributed appropriately. This includes providing expertise, direction, and advice on the operation, execution, documentation, and analysis of all Prism Center related activities. Responsibilities also include: * Provide coaching, training, expertise, advice, and leadership to the Prism team to achieve the overall objective of maximizing operational efficiency while minimizing system, process, and human error incidents. * Provide recommendations to customers on how to drill their wells as efficiently as possible and manage the flow of information from the field to the Prism Center then to the respective end users. * Manage the daily drilling performance tracking process with the assistance of the Operations and Sales groups. * Maintain sufficient operational performance to improve product delivery and customer service, including holding the team accountable for performance standards and in-depth investigation of technical drilling issues associated with MWD, and performance drilling motor equipment. * Manage the process of documenting historical and current drilling performances including ensuring all project KPI's are successfully collected in the most efficient manner. * Work closely with the Reliability department to ensure useful run data is available to assist in incident management and ensure drilling performance related information and/or optimization requests are filed appropriately in the Company's incident reporting program(s). * Work closely with the Operations and Sales teams to ensure field personnel and operations management have useful data to track performance. This includes assisting with the creation of DOD's, daily reports tracking performance, technical analysis, and recommended actions for performance improvements. * Work with the Operations department stakeholders to develop and implement formal policies, procedures, and technical alerts that will benefit the overall performance of our equipment and services. Distribute to all stakeholders and follow up on items addressed. * Work closely with QA/QC, performance drilling motor, MWD and Reliability departments to assist with technical drilling performance data that contributes to improvements in reliability and/or design. * Assist with the development of the Company's optimization reporting and analysis tools, including leading development groups, assigning development teams to key objectives and tasks, and making recommendations on continual improvement initiatives with the Company. * Assist Technical Marketing Representatives when addressing technical issues raised by potential and existing customers, ensuring they have useful, accurate data to present to customers. * Assist other departments with various projects when time permits. * Perform all duties to meet the responsibilities listed in the Employee and Corporate HSE Handbooks. * Perform duties according to the Company's quality system procedures and work instructions. The successful candidate will have a Minimum 10 years' experience in the directional drilling industry with an emphasis on performance drilling motors, MWD, and RSS as well as a Minimum 3 years' of Drilling Optimization management experience with specialized knowledge of drilling tool manufacturing, operating, and servicing. A degree in engineering or geology, or a technical or mathematics post-secondary diploma is preferred. The candidate must have an expert level of understanding of downhole conditions and drilling dynamics, be proficient in drilling industry software, including software specifically focused on well planning/engineering, drilling data acquisition, data presentation (PowerPoint and Power BI). Please submit your application to Christopher Brockman - Drilling Engineering Manager:

EDUCATION: Required\: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Preferred\: Master's or PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. EXPERIENCE: Required\: Three years experience in scientific software development/analysis. With Master's degree, one years experience required. With PhD, no experience required. Preferred\: Experience with statistics and data analysis. HPC and large-scale data analysis is a plus. 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. http\://***************************************************************************************** That Data Scientist provides analysis and develops and maintains software tools for clinical and scientific problems in the Bioinformatics and Computational Biology department. This position involves application of complex statistical models to patient cohort data, revolving around a software tool suite called LFSPRO, and communicating findings at internal and external meetings. The Data Scientist will also assist clinicians in using the software and collaborate in developing, maintaining, and enhancing the underlying statistical models. JOB SPECIFIC COMPETENCIES Data Analysis and Database Management\: * Performs data extraction, transformation, and loading(ETL) activities for relational datasets. * Manages multiple projects simultaneously. * Analyzes data, develops, and assists others in the development of formalisms, algorithms, and software for complex applications. Software Dissemination and Maintenance: * Develops and maintains software tools and infrastructure for resolving specific problems, ensuring overall functionality and reliability. * Assists in the development, testing and revision of programs. * Instruct and guide clinicians in using the software tools; * Collaborate with clinical physician-scientists and genetic counselors to understand their needs and incorporate their feedback into software development. Statistical Consulting and Collaboration\: * Evaluates LFSPRO on datasets; * Assists in the development and enhancement of statistical models for LFSPRO and other related model. * Advises and assists users and other personnel in analyzing, defining and resolving computer problems. * Presents findings effectively through written and oral communication at both internal and external meetings and conferences. Protocol and Agreement Management\: * Maintains the data transfer protocols and access agreements; * Communicate with data managers from inside and outside institutional collaborators

Role: Data Scientist This resource will work specifically on anomaly detection within one of our plant operations projects. The purpose of this project is to scale anomaly detection models for the transformer fault POC and add new models relating to thermal data. Other projects as required to require skills in forecasting and linear regression. Essential Duties/Responsibilities: Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers Ability to communicate and establish good relations with multi-disciplinary teams Expertise with neural networks, specifically RNNs within the Keras/TensorFlow framework. Proficiency with Python, including pandas, scikit-learn Experience in PySpark Minimum Requirements: Bachelors degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required. 3+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research Preferred Qualifications: Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred. Additional Knowledge, Skills and Abilities: Knowledge of power transformers, experience with electrical engineering. Prior experience predictive maintenance in a power or manufacturing environment. Experience with Databricks, AWS SageMaker and/or Google Vertex AI Comfortable working in Linux Experience with Git Experience with Docker containers Good communication skills

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.

Context & Environment The affiliate will provide a FLATSHARE accommodation. Check your eligibility for the program and country specificities on the on the website: ********************************************************************************* Please apply in English ! Activities Join our affiliate TotalEnergies E&P USA, Inc. in Houston ! TEEP USA is in charge of following up the production performances and the development of 5 oil and gas conventional deep-water assets in the Gulf of Mexico and 2 non-conventional onshore gas shale assets in Southwest Texas. All those assets are operated by others (OBO). The position reports to the Sr Reservoir Engineer within the Subsurface and Development department of TEEP USA. As Data Scientist, your main objectives will be : 1. Developing digital solutions to manage production data received from the operators: * Ensuring timely delivery of production * Completing proper Quality Control (QC) and gap analysis with forecasted production * Forecasting short term (1 year) production. 2. Proposing solutions for managing TEEP USA archived data (hard and digital data) with scope of work, planning and costs. Your main tasks, under the supervision of the Sr Reservoir Engineer in charge, will be : * Getting familiar with current production reporting and internal forecast processes. * Improving the existing technical processes relying on developed corporate tools: close collaboration with HQ teams. * Developing and maintaining an automated process to QC final production data with all the different sources. * Proposing and developing data mining and AI solutions for production monitoring, in particular, automated calculation of downtime and potential. * Developing Power BI projects including dashboards for both standard reporting and reservoir monitoring purposes in liaise with corporate tool. * Participating to the development of TEEP USA management dashboards. * Evaluating and developing analytic tools for production forecast (short / mid-term). * Assisting in managing GSR department's file room as well as overseeing activity at the Consolidated Offsite Storage Facilities. Candidate Profile Expected qualifications: * Master's degree in data science, mathematics, statistics, or a computer-related field, or in an unrelated field with strong background of the aforementioned required skills. * A background in petroleum engineering is a plus. Technical skills: * Knowledge in database management (Access and SQL), * Be a quick learner for implementing and using any commercial tools for data analytics and production monitoring (ARIES, PowerBI, Spotfire, …). Computing skills : * Strong IT / programming skills (Python, R, SQL, C++, …) Languages : * English: level C1 * French: level B2 Additional Information Start date : Q3 2025 TotalEnergies values diversity, promotes individual growth and offers equal opportunity careers.

**The ideal candidate will have digital pathology experience.** **JOB SPECIFIC COMPETENCIES** **Develop impact-driven AI technologies for pathology** Develop and maintain computational methods using deep learning for pathological image processing. Work with a high interdisciplinary team to generate biologically meaningful results and work towards clinical implementation of AI technology for oncology. Develop key performance metrics to demonstrate image processing accuracy. Keep current and evaluate state-of-the-art methods and tools, establish and help maintain computational infrastructure and analytic pipelines. Participate in the design of pathology/biological/sequencing experiment to generate high quality data for machine learning. Present results in collaboration meetings, internal and external conferences. Prioritize and manage multiple projects in a timely and resource efficient manner. Organize and provide up-to-date documentation for data and code, and help write scientific publications and reports. **Other** Other duties as assigned Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Three years experience in scientific software or industry development/analysis. With Master's degree, one years experience required. With PhD, no experience required. 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: 170538 + Employment Status: Full-Time + Employee Status: Regular + Work Week: Days + Minimum Salary: US Dollar (USD) 103,000 + Midpoint Salary: US Dollar (USD) 129,000 + Maximum Salary : US Dollar (USD) 155,000 + 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 + Science Jobs: No \#LI-Hybrid

Education Required\: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Experience Required\: Three years experience in scientific software development/analysis. With Master's degree, one years experience required. With PhD, no experience required. Preferred Experience\: Experience with common open-source scientific computing/machine learning libraries (e.g., PyTorch / TensorFlow), containerization, and cloud-native technologies (Docker & Kubernetes) is preferred. Knowledge of version control protocols, automated test frameworks, and high-performance computing is highly desired. 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. http\://***************************************************************************************** The primary purpose of the Data Scientist position is to design, implement and maintain the process of building automated image interpretation tools and the extraction of tumor measurements to fulfill the TMI objective. This activity is an important sub-component of the overall function of TMI and requires a combination of computational skill and subject matter (imaging) expertise. ***Ideal candidates will have machine learning experience with medical imaging. Candidates will be asked to share examples of their machine learning experience with medical imaging*** This individual will be working with internal and external teams developing specific image analysis algorithms and will coordinate these efforts in a fashion that supports scientific/technical evaluation and integration into the broader TMI effort. This individual will have demonstrated experience with programming languages and scripting methods (Python, MATLAB, C++, CUDA, Bash, and/or SQL), machine learning / deep learning methods, data analytics, and medical image analysis. Preference is for candidates with experience with common open-source scientific computing libraries such as PyTorch and TensorFlow. The ideal candidate will have strong computational and analytical skills particularly in deep learning and is motivated by solving challenging medical research problems for patient benefit. Additionally, experience identifying opportunities to streamline and optimize code and imaging pipeline processes is a plus. Interest in continuously and independently exploring and learning new technologies and solutions beyond current knowledge base is also required. Technical Expertise Tools/models development and management\: Working independently and with researchers in analyzing, defining, and resolving analytical problems and bugs. Participating in discussion and implementation of machine learning model management solutions. Evaluating existing algorithms/tools and developing new and user-friendly routines in an automated fashion that can be deployed to the broader TMI effort. Maintaining knowledge of cutting-edge machine learning approaches and technologies and implementing these where appropriate. Maintaining high code quality and ensuring code is thoroughly and consistently tested before deploying for end user use. Organizing data and publishing code with documentation, in line with departmental standards. Providing support for existing software systems as they evolve. Analytical Thinking Computational programming skills\: Providing analysis of data, design, and feasibility of proposed solutions. Developing solutions to ensure data flow through different platforms within the Context Engine and performing testing and documentation. Designing and developing automated module testing routines (unit testing, integration testing, etc.) and defining version control procedures. Identify and evaluate publicly available, pre-developed containers and models to enrich the TMI container library. Oral and Written Communication Team support and guidance\: Transferring knowledge, expertise, and methodologies by proactively providing technical assistance to researchers and peers. Serving as primary technical contact for members of the TMI automation team to receive/review requests and assisting researchers to analyze a wide variety of clinical data, evaluate, and interpret the results. Presenting results and progress in project meetings as well as external meetings, workshops, conferences, etc. Communicating and assisting cooperatively and effectively with leaders, peers, end users and support teams when required. Other duties as assigned

Company Profile: CNPC USA is a subsidiary of China National Petroleum Company and serves as the North American headquarters. Our goal is to provide innovation, research, and development of innovative technologies for Oil and Gas Exploration and Production. Job Summary: CNPC USA is actively seeking creative, innovative, best-in-class experts to join our growing team. This is a unique opportunity for a Data Scientist with extensive experience in data analytics and machine learning. The Data Scientist will focus on creating and implementing machine learning models that are based on big data, specifically designed to address challenges in the drilling and completion operations. This position reports directly to the Lead of Data Science. Responsibilities: The Data Scientist will use data and their analytical ability to build big data algorithms to interpret enriched data sources automatically, extract insights from text data, manage large amounts of data, merge data from varied data sources, ensure consistency of datasets, and create visualizations to aid in understanding data. Design and implement modern data pipelines/ETL to extract, clean, and process data in batches and real-time from different data sources. Utilize statistical analysis, pattern recognition, and machine learning techniques, combined with domain expertise and specialized models, to address engineering challenges in areas such as drilling, completion, and fracturing operations. Build algorithms to present and communicate data insights/findings. This role will require working on multiple projects simultaneously in different kinds of petroleum operations. Write project reports and give project status/results presentations to engineering/management. Assumes and performs other duties and/or responsibilities as requested. Conduct all business activities in agreement with CNPC USA core values. Performs other tasks and/or duties as assigned. All Applicants should be prepared to be available for occasional overnight meetings with teams and partners in China, as needed to accommodate time zone differences accordingly Key Skills: Strong Programming skills utilized in the data science domain (e.g., Python, R, C++, or similar) is required. Experience in petroleum engineering (e.g., hydraulic fracturing and drilling engineering) is required. Knowledge or experience with data virtualization tools is required. Excellent communication skills and experience working in a collaborative environment are required. Broad knowledge of wells, development function, and technology related systems, including drilling, completion, and fracturing operations. Knowledge of numerical methods for linear algebra and optimization is an advantage. Experience in technical software development is an advantage. Experience working in Linux and in a High-Performance Computing environment is an advantage. Self-motivated and able to work with little supervision. Qualifications: With a Ph.D. in Statistics, Computer Science, Science, or Engineering with significant experience in data science focused on problem solution over algorithm development, no work experience is required. With a Bachelor's or Master's in Statistics, Computer Science, Science, or a related engineering field, a minimum of 6 years of relevant work experience is required. Strong petroleum, computer, and data science background. Strong experience in Research and Development Strong presentation skills Ability to program Python, VBA, or equivalent language. Ability to develop Spotfire or Power BI dashboards. Understanding of relational and non-relational databases, both on-premises and cloud-based Familiarity with machine-learning concepts Must provide a current, unofficial transcript with an online resume (as proof of good academic standing) when applying for this position to be considered. Legally authorized to work in the United States of America Work Environment This job operates in an office environment. Secondary responsibilities of the role may require the use of standard lab equipment such as a tensile testing frame. Physical Demands: The physical demands described here are representative of those that must be met to perform the essential job functions successfully. Performing duties of this job is regularly required to stand and walk; reach and pull with hands and arms, and lift up to 50 lbs. The vision requirements include close vision, peripheral vision, and the ability to adjust focus. This job also requires the ability to read and understand ideas in writing as well as oral and written communication. Travel: This position may require international and domestic travel. Travel between all CNPC USA locations and testing facilities is required. Supervisory Responsibility: This position has no supervisory responsibilities. CNPC USA is an Equal Opportunity Employer (EOE). Qualified applicants are considered regardless of race, color, age, sex, sexual orientation, religion, disability, ethnicity, national origin, marital status, veteran status, or any other legally protected status. Disclaimer: The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. No Agencies Please : Please do not contact. NOTE: We do not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.

Apply Description Job Title: LOAD FORECASTING DATA SCIENTIST II Job Code: SES390 At Shell Energy Solutions, we believe there's a better way to power your business and home. 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 delivering cleaner energy solutions for a brighter tomorrow by guiding customers toward a better energy future, enabling customer choice and by 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. The data scientist will be expected to model customer demand, providing insight to the greater risk team, assisting with reporting, and improving forecasting accuracy. Reporting to the Director of Load Forecasting, the role requires a self-motivated, dedicated, and responsible individual with the ability to perform well under pressure. JOB DUTIES & RESPONSIBILITIES Apply data science techniques to large SQL data sets. Investigate differences between the load forecast and actual usage. Develop new automation to ensure smooth flows of data between departments. Monitor day-over-day forecasting differences and communicate causes to necessary parties. Use insights from monitoring the forecast to advise other departments on individual customer's load trends. Work with vendors to ensure the most accurate possible forecast. Perform analysis on seasonal scenarios and trends. Model forecast components. Other duties as assigned ESSENTIAL SKILLS & EXPERIENCE 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. Work Experience preferred. Experience coding in Python or R. Comfortable supporting teams and projects in a fast-paced environment, with often overlap of projects and priorities. VBA and SQL experience preferred. Proficient use of Microsoft Office programs, including Word, Outlook, and strong Excel skills. Strong analytical and problem-solving skills; must be able to provide timely and accurate data analysis. Strong business writing skills and experience developing communication in various formats. Strong interpersonal skills. Learner mindset and eye for continuous improvement needs. Excellent organization and time management skills, with the ability to maintain a strict level of attention to detail. Ability to work well within a team environment and demonstrate a vested interest in team goals and objectives. Excellent interpersonal, verbal, and written communication skills, with the ability to establish and maintain positive and effective working relationships. Self-motivated with the desire to consistently improve performance and gain further knowledge. Ability to meet deadlines, learn quickly and demonstrate effective problem solving and follow-up skills. Comply with company policies and procedures. Location & work SCHEDULE Required to be in-person in downtown Houston, TX, through a hybrid workplace environment. BENEFITS OF WORKING WITH SHELL ENERGY Competitive Compensation Health Care - Medical/Dental/Vision/Prescription Drug Coverage 401(k) with Company Matching Contributions Flexible Spending Accounts (FSA) Health Savings Accounts (HSA) Disability Programs (STD & LTD) Employee Basic Term Life Insurance Generous Vacation & Company Holidays Flexible hybrid working schedule Training and coaching Tuition Reimbursement Paid Parental Leave And much more! SHELL ENERGY VALUES Shell 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 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.

The University of Texas MD Anderson Cancer Center (MDACC) is the #1 cancer center in the U.S. and a leader in cancer research and innovation through our devotion to improving the care of cancer patients. This commitment is brought to life in the Institute for Data Science in Oncology (IDSO), a flagship program designed to reshape patient experiences and fast-track scientific breakthroughs via data-driven cancer care methodologies. The IDSO embodies a data-centric culture, pushing the envelope of modern care and venturing into uncharted territories of cancer research and treatment. It is home to a vibrant team of data scientists committed to unraveling complex cancer challenges, reducing time between diagnosis and treatment decisions, and accelerating drug discovery. MDACC is recruiting Data Scientists for its newly established Computational Pathology program. This program aims to distil meaningful insights from the extensive resources and data available at MD Anderson, particularly from cancer pathology that is currently benefiting from a digital revolution. Automated, unbiased sample selection and scalable study design will immediately facilitate deep spatial investigations in landmark MD Anderson programs, including APOLLO and Patient MOSAIC, to direct novel data analysis, enable translational studies, and generate clinical impact. MDACC provides the ideal environment for developing, testing, and deploying AI technologies for improved early cancer diagnosis and accurate treatment selection. The Computational Pathology program is a key focus area of the IDSO and supports the IDSO's mission to drive high-impact discovery research by optimizing multidimensional data integration, analysis, and application. We seek data scientists to develop, implement, and deploy innovative computational pipelines for medical images. Successful candidates will develop cutting edge artificial intelligence (AI) and image processing methods for digital pathology, conduct data analysis, collaborate and consult with pathologists and clinicians to address key clinical challenges that will have an impact on our patients. Ideal candidates will have a minimum of a Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. With Three years of experience in scientific software development/analysis (specifically in Python, image processing and Deep Learning) JOB SPECIFIC COMPETENCIES Develop impact-driven AI technologies for pathology Develop and maintain computational methods using deep learning for pathological image processing. Work with a high interdisciplinary team to generate biologically meaningful results and work towards clinical implementation of AI technology for oncology. Develop key performance metrics to demonstrate image processing accuracy. Keep current and evaluate state-of-the-art methods and tools, establish and help maintain computational infrastructure and analytic pipelines. Participate in the design of pathology/biological/sequencing experiment to generate high quality data for machine learning. Present results in collaboration meetings, internal and external conferences. Prioritize and manage multiple projects in a timely and resource efficient manner. Organize and provide up-to-date documentation for data and code, and help write scientific publications and reports. Other Other duties as assigned REQUIREMENTS Education Required\: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Education Preferred\: Master's or Ph.D. Experience Required\: Three years experience in scientific software development/analysis Experience Preferred\: With Master's degree, one years experience required. With Ph.D., no experience required. 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. http\://*****************************************************************************************

Job Title: LOAD FORECASTING DATA SCIENTIST II Job Code: SES390 At Shell Energy Solutions, we believe there's a better way to power your business and home. 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 delivering cleaner energy solutions for a brighter tomorrow by guiding customers toward a better energy future, enabling customer choice and by 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. The data scientist will be expected to model customer demand, providing insight to the greater risk team, assisting with reporting, and improving forecasting accuracy. Reporting to the Director of Load Forecasting, the role requires a self-motivated, dedicated, and responsible individual with the ability to perform well under pressure. JOB DUTIES & RESPONSIBILITIES Apply data science techniques to large SQL data sets. Investigate differences between the load forecast and actual usage. Develop new automation to ensure smooth flows of data between departments. Monitor day-over-day forecasting differences and communicate causes to necessary parties. Use insights from monitoring the forecast to advise other departments on individual customer's load trends. Work with vendors to ensure the most accurate possible forecast. Perform analysis on seasonal scenarios and trends. Model forecast components. Other duties as assigned ESSENTIAL SKILLS & EXPERIENCE 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. Work Experience preferred. Experience coding in Python or R. Comfortable supporting teams and projects in a fast-paced environment, with often overlap of projects and priorities. VBA and SQL experience preferred. Proficient use of Microsoft Office programs, including Word, Outlook, and strong Excel skills. Strong analytical and problem-solving skills; must be able to provide timely and accurate data analysis. Strong business writing skills and experience developing communication in various formats. Strong interpersonal skills. Learner mindset and eye for continuous improvement needs. Excellent organization and time management skills, with the ability to maintain a strict level of attention to detail. Ability to work well within a team environment and demonstrate a vested interest in team goals and objectives. Excellent interpersonal, verbal, and written communication skills, with the ability to establish and maintain positive and effective working relationships. Self-motivated with the desire to consistently improve performance and gain further knowledge. Ability to meet deadlines, learn quickly and demonstrate effective problem solving and follow-up skills. Comply with company policies and procedures. Location & work SCHEDULE Required to be in-person in downtown Houston, TX, through a hybrid workplace environment. BENEFITS OF WORKING WITH SHELL ENERGY Competitive Compensation Health Care - Medical/Dental/Vision/Prescription Drug Coverage 401(k) with Company Matching Contributions Flexible Spending Accounts (FSA) Health Savings Accounts (HSA) Disability Programs (STD & LTD) Employee Basic Term Life Insurance Generous Vacation & Company Holidays Flexible hybrid working schedule Training and coaching Tuition Reimbursement Paid Parental Leave And much more! SHELL ENERGY VALUES Shell 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 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.

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

Company Details Berkley Oil & Gas, (a W.R. Berkley Company) is an insurance underwriting manager providing unique property and casualty products and risk services to customers engaged in the energy sector. Our customers recognize the importance of the expertise we provide and appreciate the opportunity to work with professionals who understand their business. We are in turn committed to delivering innovative products and exceptional service to them, our valued agents and brokers, Berkley Oil & Gas is dedicated in its efforts to be well-informed of the changing dynamics of the industry; support industry efforts to minimize and mitigate risks and hazards in the ‘oil patch', and to constantly seek ways to improve our products and services to meet customer needs. Company URL: *************************** The company is an equal opportunity employer. Responsibilities As a Data Scientist, you will focus on leveraging the company's substantial data assets to deliver actionable and meaningful business insights using analytics, predictive models, machine learning, and artificial intelligence. You will have the opportunity to work hands-on with real live data, as well as learn and develop project management skills. The ideal candidate will possess a technology background with intermediate level expertise in data analysis and building (and deploying) predictive models. They will have the chance to develop their current skillset and grow within the company while completing work that will have millions of dollars' worth of impact on the business. We are looking for a highly motivated individual who is curious and excited about the world of data science, desires a challenging work environment, and can help us deliver next-generation solutions. The Data Scientist will work on improving and supporting our application infrastructure, writing code, analyzing data, creating models, creating ad hoc apps/reports/dashboards, working with both internal and external customers, learning and participating in project management and execution, and leading small individual and team projects. The analytics team is passionate about continuous learning and turning that knowledge into cutting-edge analytical solutions. We strive to deliver innovative analytical solutions that generate tangible business results. Develop, test, deploy, and help monitor analytics products, technology developments, and predictive models including data engineering, data analysis, and AI/ML/NLP. Service the analytical needs of internal and external customers by providing high-value analysis, reports, dashboards, and/or electronic files as needed. Participate in leading high-value data science projects and learn and assist with defining project deliverables, estimating timelines, estimating expected business value, assigning project tasks, and ensuring efficient execution and proper documentation from ideation through business integration. Help implement automated solutions to monitor and maintain the performance of the team's analytical products. Develop models and identify when model retraining or new solutions are needed. Design and execute well-documented experiments to identify novel uses of internal and external data to deliver business value. Keep up to date with AI and ML best practices as relates to the company's initiatives and share key insights with the team. Help design, evangelize, and continuously improve group best practices. Conduct formal peer reviews of data science projects from other team members. Work on cross-functional teams within the company and across the larger corporation to develop and implement novel analytics and data science solutions. Create and deliver presentations to internal and external customers as needed. Qualifications Requires 1-5 years of business experience as a data scientist or in a related field. Possesses an intense curiosity and determination to explore and solve complex business problems utilizing data, technology, and analytical techniques. Code in Java, SQL, and Python (about 20-30%). Ability to multitask, problem solve, and manage assigned work under very tight deadlines. Intermediate understanding of a variety of statistical and machine learning algorithms. Intermediate understanding of natural language processing. History of following data visualization and coding best practices. Eager to learn project management practices and approaches, including waterfall and Agile methodologies, as well as develop an understanding of how to break projects down into deliverables, set timelines, and provide accurate status reports to management. Experience working with large databases for analytical purposes, including transactional systems and data warehouse systems. Intermediate level understanding of SQL Databases and the SQL Programming Language - SQL Server / Oracle and including programming in T-SQL, PL/SQL or the like. Intermediate level programming experience with Python and/or other DS software/platforms. Knowledge of information technology practices relating to data, data warehousing, ETL processes and data mining. Experience with code management (version control) techniques utilizing tools such as Microsoft Team Foundation Server, GitHub, etc. Excellent listening and interpersonal skills. Experience working in a team-oriented, collaborative environment. Ability to translate very complex subject matter into understandable written and oral communications. Eduation Requirement Bachelor's or Advanced degree in data science, computer science, mathematics, statistics, engineering, physics or other sciences (or college degree with significant technical experience in a corporate setting). Education should include significant work in advanced mathematics, statistics, and/or data science. Undergraduate or graduate work in computer science is a plus. Insurance knowledge and experience is a plus but is not required. Additional Company Details We do not accept any unsolicited resumes from external recruiting agencies or firms. The company offers a competitive compensation plan and robust benefits package for full time regular employees. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

pstrong Company Information: /strong/p pLinqx 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​. /p pstrong Position Summary: /strong/p pSeeking 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. /p pstrong Key Roles / Responsibilities: /strong/p ul li Design, implement, and deploy advanced machine learning models and algorithms, particularly in Generative AI (e.g., GANs, transformers, diffusion models)./li li 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./li li Collaborate with engineering teams to ensure seamless integration of AI/ML solutions into production environments, optimizing for performance and scalability./li li Utilize advanced statistical techniques and data modeling methods to analyze large, complex datasets and provide actionable insights./li li Develop data pipelines for cleaning, processing, and transforming raw data into structured formats suitable for machine learning applications./li li Design, build, and maintain efficient and scalable data architectures and data storage solutions./li li Work on end-to-end machine learning workflows, including data preprocessing, feature engineering, model training, evaluation, and deployment./li li Continuously evaluate and optimize model performance and contribute to improving the overall AI/ML infrastructure and processes./li li Mentor junior data scientists and engineers, fostering a culture of collaboration and continuous learning./li li Stay updated on the latest advancements in AI/ML research and apply innovative techniques to solve business problems./li li Document and communicate findings and solutions clearly to both technical and non-technical stakeholders. /li /ul p /p pstrong Required Education, Experience, and Qualifications: /strong/p ul li Master's or PhD in Computer Science, Data Science, Engineering, or a related field, with a focus on machine learning, AI, or data engineering./li li Proven expertise in Generative AI, including experience with techniques such as GANs, VAEs, transformers, and other advanced deep learning models./li li Strong proficiency in programming languages like Python, R, or Julia, and hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)./li li Extensive experience with data engineering, including data wrangling, ETL processes, data storage, and real-time data processing./li li In-depth knowledge of machine learning algorithms, deep learning, and statistical modeling techniques./li li Familiarity with cloud platforms (AWS, GCP, or Azure) and distributed computing frameworks (e.g., Spark, Hadoop)./li li Experience in designing and optimizing data architectures for both batch and real-time data flows./li li Proficient with database systems (SQL, NoSQL) and data query languages./li li Strong problem-solving, analytical, and critical-thinking skills with the ability to work independently or as part of a team./li li Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. /li /ul pstrong Preferred Skills: /strong/p ul li Knowledge of NLP and CV applications, including experience with large-scale pre-trained models like GPT, BERT, or DALL·E./li li Expertise in model deployment and monitoring in production environments (e.g., Docker, Kubernetes, MLflow)./li li Experience with version control systems (e.g., Git) and software development best practices./li li Familiarity with DevOps practices and CI/CD pipelines for machine learning projects./li li Published research in top-tier conferences or journals related to AI/ML or Generative AI. /li /ul pstrong Working Conditions:  /strong/p ul li Prolonged periods sitting at a desk and working on a computer. /li li Must be able to lift 15 pounds at times. /li li Positions self to install equipment, including under desks. /li li Moves throughout the building to access files. /li li Must be able to comprehend and follow written and oral instructions.   /li li Must be able to complete tasks even with frequent interruptions.   /li li Must be able to use discretion and independent judgment as needed.   /li li Must be able to speak clearly on the phone and to fellow workers./li /ul p /p pem 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.  /em/p

Patterson-UTI's Data Science team is a growing group of energetic, passionate individuals working to improve and inform the Company through data. We work exclusively with the Drilling Automation team to help design, evaluate, and improve novel drilling automation technology. Some example projects that we are applying analytics and data science to include: * Modeling greenhouse gas emissions from the rig fleet to reduce environmental impact and improve reporting * Designing drilling advisory systems to improve drilling efficiency * Developing automated monitoring, detection, and alerting of operational events * Building models to predict failure of downhole and surface equipment The Senior Data Scientist will be responsible for both leading Data Scientists and performing individual work. She / he will manage analytics projects of varying complexity, along with coaching and mentoring more junior individuals on the team. Projects include creating actionable reports, algorithms, and models that will directly impact the development of new automation technologies. The candidate will be involved in all aspects of the project life cycle, including interviewing stakeholders, cleaning and analyzing data, generating visuals and reports, and presenting results. The ideal candidate would be a team player and leader, possess advanced data science skills, be expert in working with large data sets in Python, and be able to communicate clearly with numerous stakeholders. This role performs under general direction of the Lead Data Scientist. Detailed Description: * Lead, mentor, and coach a small team of data scientists working on a variety of projects * Execute as an individual contributor multiple analytics projects of varying complexity and data sources (~1 week to ~3 months; time series and relational databases) * Become the subject matter expert on projects, including visiting rigs to gain a deeper understanding of drilling rig operations. * Maintain standards on code quality and code management * Be the focal point for analytics: work and communicate with multiple stakeholders, understand project requirements, and deliver analytics solutions that add business value * Assist with developing and improving our suite of data analytics applications and visualizations, including developing requirements and working with developers * Independently manage and execute above projects from start-to-finish, including understanding stakeholder needs; acquiring necessary data; cleaning / analyzing data and innovating beyond initial requirements; generating visuals / reports; and presenting results to stakeholders * Identify opportunities for more advanced data science solutions Job Requirements * Prior experience in oil and gas data analytics * Experience leading, mentoring, and coaching a team of data scientists * Expert in programming to generate analyses, algorithms, and visuals * Able to articulate complex data science techniques to end-users that have minimum technical background * Have excellent soft skills to gain rapport within the organization and seek out buy-in for our analytics team * Able to work both independently and as part of a team, managing multiple tasks and projects simultaneously to meet challenging deadlines * Able to think strategically and translate concepts into action plans and track results * Able and willing to visit a drilling rig location on a semi-regular basis to gain subject matter knowledge * Excellent verbal and written communication skills Minimum Qualifications * Bachelor's degree in Physics, Engineering, Computer Science, or related field * 5+ years of experience applying data science techniques to industrial applications (i.e. Oil and Gas, chemicals, manufacturing, etc.) * 3+ years of experience applying data science techniques to data generated specifically during the drilling process * 3+ years of experience managing data analytics teams or projects * 3+ years' experience in Python for data analysis and visualization (including Jupyter Notebooks, Pandas, Numpy, Matplotlib) Preferred Qualifications * Master's degree or higher in Physics, Engineering, Computer Science, or related field * Existing research publications and/or patents related to oil and gas drilling * Previous experience working in cross-functional roles and communicating directly with product users Additional Details: 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. Frequent travel to other Company offices and drilling rig work sites, often in remote locations, is required during normal rig operating conditions (day/night, outdoor hot/cold weather), and employee will be expected to properly use designated personal protective equipment (PPE).

Description - We are seeking a talented and visionary Principal Data Scientist to join our Supply Chain Planning Analytics team. As a Principal Data Scientist, you will play a key role in shaping our long-term strategic direction by providing data-driven insights, conducting in-depth analysis, and developing innovative solutions to drive business growth and competitiveness while communicating business value and innovation potential through effective insights and visualizations. You will collaborate closely with senior leadership, business stakeholders, and cross-functional teams to identify strategic opportunities, assess market trends, and drive strategic initiatives across the organization. Key Responsibilities: Forecasting Models: * Develop predictive models and analytical frameworks to forecast market demand, assess competitive dynamics, predict demand, optimize inventory levels, and inform strategic decision-making. * Utilize time series analysis, machine learning, and statistical techniques to improve forecast accuracy. * Analyze large datasets to identify trends, patterns, and opportunities for improvement in supply planning. * Build and validate predictive models to forecast inventory needs and minimize stockouts and overstock situations. * Continuously monitor and refine models to ensure accuracy and reliability. Inventory Optimization: * Utilize methods such as linear programming, queuing theory, and simulation to optimize inventory and production workflows. * Develop optimization models to improve supply planning and logistics. * Work with the supply chain team to implement inventory optimization strategies. * Conduct scenario analysis to support decision-making processes. Component Classification and Segmentation * Conduct in-depth analysis of internal and external data sources to identify market trends, customer behaviors, and strategic opportunities. * Collaborate with cross-functional teams to define strategic priorities, establish performance metrics, and track progress against strategic goals. * Utilize deep learning models such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models for complex product classification and segmentation tasks. * Implement prescriptive analytics techniques to recommend actionable insights for product categorization and segmentation, enabling targeted marketing and inventory management strategies. Supply Planning Optimization: * Lead strategic data science initiatives to support key business objectives in Inventory Optimization / Planning area. * Develop optimization models to improve supply planning and logistics. * Work with the supply chain team to implement inventory optimization strategies. * Conduct scenario analysis and simulation to support decision-making processes. Mentor and coach junior team members and contribute to the development of a high-performing and collaborative data science team. Qualifications: * Master's degree or related work experience Data Science, Mathematics, Statistics, Operations Research, Computer Science or a related field. PhD a Plus * 10 -15 years of experience in strategic planning within Supply Chain, business analytics, or a similar role, with a strong focus on data-driven decision-making. * Proficiency in programming languages such as Python, R, or Scala, and experience with data analysis libraries and frameworks (e.g., pandas, scikit-learn, TensorFlow, PyTorch, PuLP, SciPy, SimPy). * Experience in advanced forecasting techniques (e.g., ARIMA, Prophet, LSTM) * Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights and strategic recommendations. * In-depth supply chain knowledge. * Fluent in structured and unstructured data, its management, and modern data transformation methodologies * Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders. * Proven track record of leading strategic initiatives, driving organizational change, and delivering measurable business results. * Ability to thrive in a fast-paced, dynamic environment, and manage multiple priorities effectively. * Strong leadership and collaboration skills, with the ability to build consensus and drive alignment across diverse stakeholders. * Experience in strategic consulting, management consulting, or corporate strategy is a plus. Sustainable impact is HP's commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision - to create technology that makes life better for everyone, everywhere HP is a Human Capital Partner - we commit to human capital development and adopting progressive workplace practices in Singapore. #LI-POST

JobID: 210609215 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $114,000.00-$170,000.00 Join our Corporate Technology Machine Learning team at JPMorgan Chase, where we solve complex business issues like Anti-Money Laundering and Surveillance using data science and machine learning. As a Data Scientist within the strategic technology solutions team at JPMorgan Chase & Co., you will be at the forefront of bridging the gap between business and technology. You will work closely with team members to comprehend challenges and opportunities, and convert these insights into high-quality solutions. Your responsibilities will include improving existing technology, discovering new capabilities, and offering clear direction to your Business Analysis colleagues, all while upholding and promoting the values and brand of our firm. Job Responsibilities * Help to protect the firm by developing new insights that will support senior management in making key country decisions * Become an expert in the data used by the team, including the ability to efficiently and creatively transform that data into insights * Develop potential machine learning use cases for the team, to apply to tasks such as data analytics, NLP, time-series predictions or recommendation systems * Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Required Qualifications, Capabilities, And Skills * Master's degree in a data science-related discipline, plus at least four years of industry experience (or: PhD in a data science-related discipline, plus at least two years of industry experience) * Extensive experience with data transformation (especially in Python) and analytics * Experience with continuous integration models and unit test development * Strong written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. * Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments * Curious, hardworking and detail-oriented, and motivated by complex analytical problems Preferred Qualifications, Capabilities, And Skills * Familiarity with the financial services industry and Risk management * Background in NLP and analytics, personalization/recommendation * Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code * Some industry experience in implementing machine learning and deep learning toolkits (e.g. TensorFlow, PyTorch, Scikit-Learn)".