11 jobs found

Overview COMPANY OVERVIEW Pattern Energy is a leading renewable energy company that develops, constructs, owns, and operates high-quality wind and solar generation, transmission, green fuels, and energy storage facilities. Our mission is to transition the world to renewable energy through the sustainable development and responsible operation of facilities with respect for the environment, communities, and cultures where we have a presence. Our approach begins and ends with establishing trust, accountability, and transparency. Our company values of creative spirit, pride of ownership, follow-through, and a team-first attitude drive us to pursue our mission every day. Our culture supports our values by fostering innovative and critical thinking and a deep belief in living up to our promises. Headquartered in San Francisco, Pattern has a portfolio of 30 power facilities and transmission assets across North America, serving various customers that provide low-cost clean energy to millions of consumers. Responsibilities JOB PURPOSE The Energy Systems Data Scientist role develops, maintains, and analyzes the input, output, and connection datasets between Pattern's internal capacity expansion and production cost modeling suite (WIS:dom). The role will evolve in scope as the data architecture and stack progress from its current state. The role will enable ESP to analyze North American energy markets and develop a comprehensive view of the current Pattern pipeline of construction, operating asset performance, and market dynamics that might create opportunities or risks. The role provides critical support for ESP to provide business actionable analysis to other departments of Pattern. KEY ACCOUNTABILITIES Create, manage, and analyze input and output data for/from executed model simulations using the WIS:dom suite of tools. Provide analysis of these inputs and outputs to the ESP team and external groups. Integrate large datasets into the modeling framework. Gather and validate input data for models, including energy demand, resource availability, market trends, and environmental constraints. Find available market data and translate data into modeling WIS:dom parameters and maintain version control and documentation of changes. Automate repetitive tasks and enhance existing workflows to improve input and output data for modeling accuracy and efficiency. Develop pipeline infrastructure between modeling tools that will reduce the manual nature of model execution in coordination with the transition to the HIVE. Work with multidisciplinary teams, including modelers, developers, analysts, GIS, and transmission analysts to align model data requirements that simulate real-world conditions and objectives. Assist real-time environment products for operations that use different data structures to other ESP modeling tools. Qualifications EXPERIENCE/QUALIFICATIONS/EDUCATION REQUIRED Educational Requirements Bachelor's and/or master's in electrical engineering, economics, mathematics, or a related quantitative field (data science or data engineering emphasis desired). Required Work Experience 3-5 years of experience in energy trading, renewables development, or energy industry forecasting/analytics/research. Required Knowledge Familiarity with capacity expansion, production cost models, or energy-related software. Ability to work with datasets specific to energy systems, such as grid network models, load profiles, and pricing data. Strong knowledge of data wrangling and cleaning techniques, especially for time series, spatial, and network data. Excellent programming skills in common languages (e.g., Python) and packages used by the energy modeling field (e.g., geopandas, numpy, networkx, pandas), use of software best practices (e.g., Git), and familiarity with high-performance computing environments. Experience with extracting, transforming, and loading processes and tools for handling large-scale datasets. Demonstrated ability to develop and deploy Feature Engineering and Modeling applications to data platforms built on Databricks or similar platforms and platform components (e.g., Snowflake, ML Flow, Airflow, etc.). Demonstrated experience in using Azure-based cloud applications, services and infrastructure or significant, transferrable experience with other Cloud Providers (e.g., AWS or GCP). Comfortable creating data visualizations and deploying them on a company-wide level. Implementation of storing system-level logs and responding to pipeline failures (including code errors, API statuses, data structure failures, and machine-based failures). Preferred Skills Preferred familiarity with cloud platforms and large dataset tools (e.g., Azure, Databricks, etc.). Ability to work with large datasets, ensuring data integrity and reliability. Strong problem-solving skills for complex energy scenarios. Clear and concise reporting of findings to stakeholders. Ability to explain technical concepts to non-technical audiences. Manage deadlines, coordinate with teams, and handle multiple modeling tasks. The expected starting pay range for this role is $90,000 USD - $122,000 USD. This range is an estimate and base pay may be above or below the ranges based on several factors including but not limited to location, work experience, certifications, and education. In addition to base pay, Pattern's compensation program includes a bonus structure for full-time employees of all levels. We also provide a comprehensive benefits package which includes medical, dental, vision, short and long-term disability, life insurance, voluntary benefits, family care benefits, employee assistance program, paid time off and bonding leave, paid holidays, 401(k)/RRSP retirement savings plan with employer contribution, and employee referral bonuses. Pattern Energy Group is an Equal Opportunity Employer.

The role We are building the sportsbook of tomorrow at Kindred. Machine learning algorithms and AI are at the heart of how we will deliver an unrivalled customer experience and unlock operational efficiencies through automation. Our Data Science (DS) and Machine Learning Engineering (MLE) teams are currently focused on delivering Personalisation and Risk Management products, with future scope to develop sportsbook specific Reward products, and collaborate with our Quant team to develop trading automation solutions. We are recruiting a Data Scientist to join our product-led team and contribute to the success of our Kindred Sportsbook Platform. This role will report into our Risk Management team. What you will do Actively contribute to product development, able to interpret requirements and deliver independently. Work closely with business stakeholders to translate business requirements into data science use cases, proactively reaching out in ambiguous situations, adapting to feedback and generating insights/solutions backed by data to drive the decisions. Collaborate with DS and MLE team members to build and deliver data-driven products. Take technical ownership of models throughout their lifecycle. Write code that follows best practices and facilitates collaboration and re-usability. Your experience Bachelor's or advanced degree in a STEM subject. Experience in a DS role with a proven track record successfully delivering algorithmic data products for enterprise-grade solutions in collaboration with engineering teams. Proactively solving problems and proposing new solutions where existing methodology may not exist. Accountability for the decisions taken within the projects and ability to clearly explain the reasoning Interest and understanding of sports betting, experience in sports risk management. Excellent interpersonal skills, able to explain complex concepts to stakeholders. Strong knowledge of machine learning algorithms and general statistical methodologies and theory. Basic knowledge of AB testing and design of experiment. Advanced Python and SQL skills, experience using Spark for processing large datasets. Understanding of software product development processes and governance, including CI/CD processes and release and change management. Familiarity with cloud computing platforms, ideally experience with Amazon Web Services.

The role We are building the sportsbook of tomorrow at FDJ United. Machine learning algorithms and AI are at the heart of how we will deliver an unrivalled customer experience and unlock operational efficiencies through automation. Our Data Science (DS) and Machine Learning Engineering (MLE) teams are currently focused on delivering Personalisation products, with future scope to develop sportsbook specific Reward products, and collaborate with our Quant team to develop trading automation solutions. We are recruiting a Senior Data Scientist to join our product-led team and contribute to the success of our Kindred Sportsbook Platform. This role will report into our Personalisation team. What you will do Actively contribute to product development, able to interpret requirements and deliver independently. Work closely with business stakeholders to translate business requirements into data science use cases, proactively reaching out in ambiguous situations, adapting to feedback and generating insights/solutions backed by data to drive the decisions. Collaborate with DS and MLE team members to build and deliver data-driven products. Take technical ownership of models throughout their lifecycle. Write code that follows best practices and facilitates collaboration and re-usability. Raise the profile of the team by actively promoting work and team contributions. Coach team members and set examples through work and behaviours. Compliance Responsibilities Ensure that you adhere to the Governance, Risk & Compliance (GRC) obligations for your role. Identify and raise any non-compliance incidents promptly to your line manager. Challenge processes, policies and projects that will negatively impact compliance within the Group. Complete all mandatory compliance training assigned to you. Reach out to the Compliance Teams if unsure of any of your compliance obligations or the requirements are unclear. Your experience Bachelor's or advanced degree in a STEM subject. Experience in a DS role with a proven track record successfully delivering algorithmic data products for enterprise-grade solutions in collaboration with engineering teams. Ability to operate in an autonomous manner, proactively solving problems and proposing new solutions where existing methodology may not exist. Accountability for the decisions taken within the projects and ability to clearly explain the reasoning. Interest and understanding of sports betting, experience in sports personalisation & recommendations. Excellent interpersonal skills, able to explain complex concepts to stakeholders. Ability to coach, support and mentor more junior team members. Advanced knowledge of machine learning algorithms and general statistical methodologies and theory. Advanced knowledge of AB testing and design of experiment. Advanced Python and SQL skills, experience using Spark for processing large datasets. Understanding of software product development processes and governance, including CI/CD processes and release and change management. Familiarity with cloud computing platforms, ideally experience with Amazon Web Services.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As an AI Engineer at DRW, you will be an integral member of a collaborative multi-asset trading team. You'll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role. Key Responsibilities: Drive end-to-end development of AI infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance. Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases. Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments. Create and maintain feature pipelines, feature stores, and model stores. Develop frameworks to enable scalable, reproducible research. Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage. Qualifications: Bachelor's or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3+ years of experience working with machine learning and artificial intelligence technology. Strong understanding of core machine learning and artificial intelligence concepts. Excellent programming skills in Python. Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models. Hands-on experience with MLOps and AIOps infrastructure and tooling. Proficient in problem-solving and analytical reasoning. Exceptional communication and collaboration skills. Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX. Experience with Large Language Models, including RAG and fine-tuning techniques. Familiarity with compute infrastructure necessary to support operating AI and ML technology.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As an AI Engineer at DRW, you will be an integral member of a collaborative multi-asset trading team. You'll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role. Key Responsibilities: Drive end-to-end development of AI infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance. Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases. Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments. Create and maintain feature pipelines, feature stores, and model stores. Develop frameworks to enable scalable, reproducible research. Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage. Qualifications: Bachelor's or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3+ years of experience working with machine learning and artificial intelligence technology. Strong understanding of core machine learning and artificial intelligence concepts. Excellent programming skills in Python. Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models. Hands-on experience with MLOps and AIOps infrastructure and tooling. Proficient in problem-solving and analytical reasoning. Exceptional communication and collaboration skills. Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX. Experience with Large Language Models, including RAG and fine-tuning techniques. Familiarity with compute infrastructure necessary to support operating AI and ML technology. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at . California residents, please review the California Privacy Notice for information about certain legal rights at .