Job Description: Client is looking for a Data Scientist with experience in delivering data science products end-to-end. In this role, the successful candidates will be uniquely positioned at the forefront of utility industry analytics, having the opportunity to advance Clients triple bottom line of People, Planet, and Prosperity. Working as part of cross functional teams, including data engineers, data scientists, technologists, subject matter experts, and change management professionals ? this individual will lead the development of computer vision models to improve, accelerate, and automate asset inspections processes. The individual will participate in the full lifecycle of the delivery process from initial value discovery to model-building to building data products to deliver value to end users. The responsibilities of these positions include:<ul><li>Leads conversations with business stakeholders and subject matter experts to understand business and subject matter context </li><li>Scopes and prioritizes modeling work to deliver business value </li><li>Applies data science, machine learning and other analytical modeling methods to develop defensible and reproducible predictive models Serves as the technical lead for the development of computer vision models, leading data labeling, model training and model evaluation </li><li>Extracts, transforms, and loads data from dissimilar sources from across for model-building and analysis </li><li>Writes and documents python code for data science (feature engineering and machine learning modeling) independently </li><li>Documents and presents data science experiments and findings clearly to other data scientists and business stakeholders.</li><li>Act as peer reviewer of models and analyses built by other data scientists </li><li>Develops and presents summary presentations to business.</li><li>Present findings and makes recommendations to officers and cross-functional management.</li><li>Build and maintain strong relationships with business units and external agencies.</li><li>Works with cross functional teams, including data engineers, machine learning engineers, data scientists, and subject matter experts</li></ul> Education Minimum: <ul><li>Bachelors degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.</li><li>Education Desired: Masters degree in one of the above areas.</li><li>Experience Minimum: 4 years in data science for business (or 2 years, if possess masters degree, as described above).</li></ul> Knowledge, Skills, Abilities and (Technical) Competencies:<ul><li>Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them</li><li>Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment</li><li>Competency in commonly used data science and/or operations research programming languages, packages, and tools.</li><li>Hands-on and theoretical experience of data science/machine learning models and algorithms</li><li>Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.</li><li>Competency in the mathematical and statistical fields that underpin data science</li><li>Mastery in systems thinking and structuring complex problems</li><li>Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies</li><li>Desired: experience building computer vision models ? Desired: experience with AWS technologies (S3, GroundTruth, Sagemaker)</li></ul>

Title: Data Scientist Location: Oakland, CA Duration: 12 months Description:***OPEN TO BOTH LOCAL AND NON-LOCAL CANDIDATES*** 100% Remote or they can be hybrid as well. *Client laptop will be provided to the successful hire within the service territory. Otherwise, the vendor must supplier. Position Summary We are looking for a Data Scientist with experience in delivering data science products end-to-end. In this role, the successful candidates will be uniquely positioned at the forefront of utility industry analytics, having the opportunity to advance triple bottom line of People, Planet, and Prosperity. Working as part of cross functional teams, including data engineers, data scientists, technologists, subject matter experts, and change management professionals – this individual will lead the development of computer vision models to improve, accelerate, and automate asset inspections processes. The individual will participate in the full lifecycle of the delivery process from initial value discovery to model-building to building data products to deliver value to end users. The responsibilities of these positions include:· Leads conversations with business stakeholders and subject matter experts to understand business and subject matter context· Scopes and prioritizes modeling work to deliver business value· Applies data science, machine learning and other analytical modeling methods to develop defensible and reproducible predictive models· Serves as the technical lead for the development of computer vision models, leading data labeling, model training and model evaluation· Extracts, transforms, and loads data from dissimilar sources from across PG&E for model-building and analysis· Writes and documents python code for data science (feature engineering and machine learning modeling) independently· Documents and presents data science experiments and findings clearly to other data scientists and business stakeholders.· Act as peer reviewer of models and analyses built by other data scientists· Develops and presents summary presentations to business.· Present findings and makes recommendations to officers and cross-functional management.· Build and maintain strong relationships with business units and external agencies.· Works with cross functional teams, including data engineers, machine learning engineers, data scientists, and subject matter experts Education Minimum: Bachelor’s degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field. Education Desired: Master’s degree in one of the above areas. Experience Minimum: 4 years in data science for business (or 2 years, if possess master’s degree, as described above). Knowledge, Skills, Abilities and (Technical) Competencies: • Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them • Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment • Competency in commonly used data science and/or operations research programming languages, packages, and tools. • Hands-on and theoretical experience of data science/machine learning models and algorithms • Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines. • Competency in the mathematical and statistical fields that underpin data science • Mastery in systems thinking and structuring complex problems • Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies • Desired: experience building computer vision models• Desired: experience with AWS technologies (S3, GroundTruth, Sagemaker)

<h3>Job Description</h3><div>Job Description<div>Job Title: Data Scientist Contract Duration: 12 Months Pay range: $90 - 105/hr Location: Oakland, CA Work Type: 100% Remote or they can be hybrid as well. <div>About the Role: As a Data Scientist, you will play a pivotal role in driving innovation and efficiency within the utility industry. You will work closely with cross-functional teams to develop and deploy advanced machine learning models, particularly in the realm of computer vision, to optimize asset inspection processes.</div><div> Key Responsibilities:</div><ul><li>Data Science and Machine Learning:<ul><li>Develop, train, and evaluate computer vision models.</li><li>Apply advanced statistical and machine learning techniques.</li><li>Extract, transform, and load data from various sources.</li><li>Write and document Python code for data science pipelines.</li></ul></li><li>Business Collaboration:<ul><li>Collaborate with business stakeholders to understand requirements.</li><li>Present findings and recommendations to executive leadership.</li><li>Build strong relationships with cross-functional teams.</li></ul></li><li>Technical Leadership:<ul><li>Mentor and guide junior data scientists.</li><li>Review and improve model development processes.</li><li>Stay up-to-date with the latest data science and machine learning trends.</li></ul></li></ul><div> Required Skills and Experience:</div><ul><li>Strong foundation in data science, machine learning, and statistics.</li><li>Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with computer vision techniques and tools.</li><li>Ability to work with large datasets and complex algorithms.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and presentation skills.</li><li>Experience with cloud platforms, especially AWS (preferred).</li></ul><div></div>Benefits: <ul><li>Medical, Vision, and Dental Insurance Plans</li><li>401k Retirement Fund</li></ul> About the Company: Leading natural gas and electric energy company serving millions of customers across the United States. Offers reliable energy delivery and a positive work environment. Join our team and make a difference in your community. <div>Keywords: Data Scientist, Machine Learning, Computer Vision, Python, TensorFlow, PyTorch, Scikit-learn, AWS, Data Engineering, Data Analysis, Predictive Modeling, AI, Artificial Intelligence.</div> 24-13972: #LI-GTT #gttjobs #LI-Remote</div>Company Description<div>Global Technical Talent is a subsidiary of Chenega Corporation (www.Chenega.com) with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure. We are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier. There is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: https://bit.ly/gttcareers Awards SIA’s Fastest Growing Staffing Firm: 2023 and 2015 SIA’s Best Staffing Firm to Work for: 2019 -2023 Inc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015 Randstad Preferred Supplier: 2020 - 2023 TechServe Alliance Excellence Award. 2019 NH Business Magazines Fast 5 fastest growing companies Ernst & Young Entrepreneur of the Year Finalist: 2015</div></div><h3>Company Description</h3><div>Global Technical Talent is a subsidiary of Chenega Corporation (www.Chenega.com) with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure.\r\n\r\nWe are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier.\r\n \r\nThere is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: https://bit.ly/gttcareers \r\n \r\nAwards\r\n\r\nSIA’s Fastest Growing Staffing Firm: 2023 and 2015\r\nSIA’s Best Staffing Firm to Work for: 2019 -2023\r\nInc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015\r\nRandstad Preferred Supplier: 2020 - 2023\r\nTechServe Alliance Excellence Award. 2019\r\nNH Business Magazines Fast 5 fastest growing companies\r\nErnst & Young Entrepreneur of the Year Finalist: 2015</div>

<h3>Job Description</h3><div>Job Description<div>Description:<ul><li>Contract Duration: 1 year + potential extension</li><li>***OPEN TO BOTH LOCAL AND NON-LOCAL CANDIDATES*** 100% Remote or they can be hybrid as well. </li></ul> Position Summary Looking for a Data Scientist with experience in delivering data science products end-to-end. In this role, the successful candidates will be uniquely positioned at the forefront of utility industry analytics, having the opportunity to advance PG&E’s triple bottom line of People, Planet, and Prosperity. Working as part of cross functional teams, including data engineers, data scientists, technologists, subject matter experts, and change management professionals – this individual will lead the development of computer vision models to improve, accelerate, and automate asset inspections processes. The individual will participate in the full lifecycle of the delivery process from initial value discovery to model-building to building data products to deliver value to end users. The responsibilities of these positions include: · Leads conversations with business stakeholders and subject matter experts to understand business and subject matter context · Scopes and prioritizes modeling work to deliver business value · Applies data science, machine learning and other analytical modeling methods to develop defensible and reproducible predictive models · Serves as the technical lead for the development of computer vision models, leading data labeling, model training and model evaluation · Extracts, transforms, and loads data from dissimilar sources from across PG&E for model-building and analysis · Writes and documents python code for data science (feature engineering and machine learning modeling) independently · Documents and presents data science experiments and findings clearly to other data scientists and business stakeholders. · Act as peer reviewer of models and analyses built by other data scientists · Develops and presents summary presentations to business. · Present findings and makes recommendations to officers and cross-functional management. · Build and maintain strong relationships with business units and external agencies. · Works with cross functional teams, including data engineers, machine learning engineers, data scientists, and subject matter experts Education Minimum: Bachelor’s degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field. Education Desired: Master’s degree in one of the above areas. Experience Minimum: 4 years in data science for business (or 2 years, if possess master’s degree, as described above). Knowledge, Skills, Abilities and (Technical) Competencies: • Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them • Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment • Competency in commonly used data science and/or operations research programming languages, packages, and tools. • Hands-on and theoretical experience of data science/machine learning models and algorithms • Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines. • Competency in the mathematical and statistical fields that underpin data science • Mastery in systems thinking and structuring complex problems • Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies • Desired: experience building computer vision models • Desired: experience with AWS technologies (S3, GroundTruth, Sagemaker)</div>Company Description<div>About us: The Norland Group has been in operation successfully since 1996. We are a strong believer of people management, professionalism and accountability. We only make promises when we are certain we can fulfill them. Our business focuses on fulfilling the needs of commercial and government customers in administrative services, workforce mobilization, information technology, engineering, project management services. Our Mission Statement Our main goal is to provide career advancement opportunities to our associates. We are committed to bringing our customers exceptional support services with the highest quality, integrity, and innovation. We believe that we are the stepping stone for our associates to advance their careers and to live a better life. Everyone should have a chance to live a successful and happy life. We operate our business based on those values and we choose employees who value the same principles.</div></div><h3>Company Description</h3><div>About us:\r\n\r\nThe Norland Group has been in operation successfully since 1996. We are a strong believer of people management, professionalism and accountability. We only make promises when we are certain we can fulfill them. Our business focuses on fulfilling the needs of commercial and government customers in administrative services, workforce mobilization, information technology, engineering, project management services.\r\nOur Mission Statement\r\n\r\nOur main goal is to provide career advancement opportunities to our associates. We are committed to bringing our customers exceptional support services with the highest quality, integrity, and innovation. We believe that we are the stepping stone for our associates to advance their careers and to live a better life. Everyone should have a chance to live a successful and happy life. We operate our business based on those values and we choose employees who value the same principles.</div>

Job Summary: This senior individual contributor is primarily responsible for overseeing the design and development of data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats. This role is also responsible for leading and overseeing the development of detailed problem statements outlining hypotheses and their effect on target clients/customers, serving as a lead expert in the analysis and investigation of complex data sets, overseeing the selection, manipulation and transformation of data into features used in machine learning algorithms, training statistical models, directing the deployment and maintenance of reliable and efficient models through production, ensuring and leading the verification of model performance, and building and maintaining partnerships with internal and external stakeholders across domains to develop and deliver statistical driven outcomes. Essential Responsibilities: Promotes learning in others by communicating information and providing advice to drive projects forward; builds collaborative, cross-functional relationships. Solicits and acts on performance feedback; provides actionable feedback to others, including upward feedback to leadership; influences, mentors, and coaches team members. Practices self-leadership; creates, evaluates, and responds to the strengths and weaknesses of self and unit or team members. Leads the adaptation to competing demands and new responsibilities; adapts to and learns from change, challenges, and feedback. Fosters open dialogue amongst team members. Drives the execution of multiple work streams by identifying member and operational needs; translates business strategy into actionable business requirements; develops and updates new procedures and policies. Gains cross-functional support for objectives and priorities; determines and carries out processes and methodologies; solves highly complex issues; escalates and resolves issues as appropriate; sets standards and measures progress. Develops work plans to meet business priorities and deadlines; coordinates, obtains and distributes resources. Removes obstacles that impact performance; guides performance and develops contingency plans accordingly; influences the completion of project tasks by others. Leads and oversees the development of detailed problem statements outlining hypotheses and their effect on target clients/customers by ensuring comprehensive and accurate definitions of scope, objectives, outcome statements and metrics. Oversees the design and development of data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats by driving the transformation, cleansing, and storing of data for consumption by downstream processes; overseeing the development and optimization of diverse and complex SQL queries; and demonstrating advanced expertise of database fundamentals. Serves as a lead expert in the analysis and investigation of complex data sets by ensuring optimum data visualization methods are employed; determining and communicating how best to manipulate data sources to discover patterns, spot anomalies, test hypotheses, and/or check assumptions; and reviewing and verifying summaries of key dataset characteristics. Oversees the selection, manipulation, and transformation of data into features used in machine learning algorithms by leveraging and demonstrating advanced expertise in techniques to conduct dimensionality reduction, feature importance, and feature selection. Trains statistical models by selecting and leveraging algorithms and data mining techniques; overseeing model testing; ensuring the proper use of various algorithms to assess the input dataset and related features; and ensuring appropriate techniques are used to prevent overfitting such as cross-validation. Directs the deployment and maintenance of reliable and efficient models through production. Ensures and leads the verification of model performance by demonstrating advanced expertise in the practice of a variety of model validation techniques to assess and discriminate the goodness of model fit; and leveraging feedback and output to direct and strengthen model performance. Builds and maintains partnerships with internal and external stakeholders across domains to develop and deliver statistical driven outcomes by generating and delivering insights and values from heterogeneous data to investigate complex problems for multiple use cases; driving informed decision-making; and presenting findings to both technical and non-technical senior leadership. Minimum Qualifications: Minimum three (3) years experience working with Exploratory Data Analysis (EDA) and visualization methods. Minimum seven (7) years machine learning and/or algorithmic experience. Minimum seven (7) years statistical analysis and modeling experience. Minimum seven (7) years programming experience. Minimum five (5) years experience in a leadership role with or without direct reports. Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field AND Minimum ten (10) years experience in data science or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Advanced degrees may be substituted for the work experience requirements. Additional Requirements: Knowledge, Skills, and Abilities (KSAs): Strategic Thinking; Advanced Quantitative Data Modeling; Algorithms; Applied Data Analysis; Data Extraction; Data Visualization Tools; Deep Learning/Neural Networks; Machine Learning; Relational Database Management; Project Management; Microsoft Excel; Design Thinking; Business Intelligence Tools; Data Manipulation/Wrangling; Data Ensemble Techniques; Feature Analysis/Engineering; Open Source Languages & Tools; Model Optimization; Data Architecture; Data Engineering COMPANY: KAISER TITLE: Data Scientist VI LOCATION: Oakland, California REQNUMBER: 1311347 External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with Federal, state and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran, or disability status.

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Data Scientist Jobs in Oakland, CA

Senior Data ScientistNovember 12, 2024

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