• Design, implement, and improve machine learning systems. • Contribute to machine learning applications end to end, i.e. from research to prototype to production. • Work with product managers, designers, and customers to define vision and strategy for a given product.

Role Description We are seeking a motivated and experienced (Senior) Environmental Scientist / (Senior) Industrial Hygienist to join our growing Industrial Hygiene & Built Environment practice in Arizona. This role is ideal for someone with hands-on field experience conducting environmental assessments related to asbestos, lead, mold, indoor air quality (IAQ), and general industrial hygiene evaluations. You will work closely with project managers, clients, and internal teams to deliver high‑quality technical assessments, sampling, reporting, and compliance support across a variety of industrial, commercial, and public‑sector environments. Job Responsibilities - Conduct field investigations - including asbestos, lead-based paint, mold, and IAQ assessments, as well as broader industrial hygiene evaluations. - Collect bulk samples, air samples, wipe samples, water samples, and other environmental media according to regulatory and project‑specific protocols. - Perform building surveys, moisture mapping, and visual inspections to identify environmental hazards or building-related deficiencies. - Assist with abatement/remediation project monitoring, contractor oversight, and clearance testing. - Prepare clear, accurate, and technically sound reports, data summaries, and field documentation. - Support project planning, scheduling, and coordination of field activities. - Maintain strong knowledge of relevant federal, state, and local regulations (e.g., EPA, OSHA, local building codes). - Respond to both planned and emergent events. - Communicate professionally with clients, contractors, and internal stakeholders. - Strictly follow internal safety protocols and promote a safe work environment. Qualifications - Bachelor’s degree in Environmental Science, Industrial Hygiene, Occupational Health, Environmental Engineering, or a related discipline. - A minimum of 2 years of relevant field experience in environmental or industrial hygiene consulting. - Practical experience conducting and documenting: - Asbestos surveys (in accordance with AHERA, NESHAP, and OSHA regulations) - Lead-based paint assessments (EPA/HUD guidelines) - Mold and moisture investigations - Indoor air quality (IAQ) assessments - Proficiency with field sampling equipment, building diagnostics tools, and data recording methods. - Strong technical writing and communication skills. - Ability to work independently in the field and manage multiple tasks concurrently. - Valid driver’s license and willingness to travel to project sites. Preferred Qualifications - Current industry-relevant certifications, such as: - OSHA 40-Hour HAZWOPER - AHERA Asbestos Inspector - EPA/AZ-certified Lead Inspector or Lead Risk Assessor - Mold-related training or certifications (e.g.CMC, CMI) - Indoor Environmental Quality training or certifications (e.g. CIE) - Industrial Hygiene training or certifications (e.g.: CIAH, OHST) - Experience with industrial hygiene sampling (e.g., noise, air monitoring, exposure assessments). - Experience with indoor environmental quality sampling (e.g. water, air, and surface sampling). - Familiarity with project management and/or mentoring junior staff. Benefits - Flexible work environment allows employees to work remotely, when needed. - Flexible Time Off policy. - Medical, Dental, and Vision Insurance. - 401k Match. - Commuter Benefit. - A reasonable estimate of the salary range for this role is $70,000.00 - $95,000.00.

Title: Director, Data Science Job Description: Company: Norstella Location: Remote, United States Employment Type: Full Time Job ID: R-1969 Description Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patient access. Each organization (Evaluate, MMIT, Panalgo, Citeline and The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, we help our clients: - Assess the market need and competitive landscape - Know precisely which drugs to prioritize in their portfolios - Find out where the launch difficulties will be—before they’re difficulties - Track and improve market access post-launch By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. At Norstella, we don’t just deliver information and insights. We deliver answers you can act on. The Team: Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. The Role: As Director of Data Science at Norstella, you will set the strategic vision for our data science capabilities and lead a high-performing team of data scientists and engineers. You will be a technical authority and a people-first leader — building talent, shaping culture, and delivering AI-powered solutions that have a direct impact on patient access to life-saving therapies. - Define and own the data science strategy, aligning closely with product, engineering, and executive leadership to drive roadmap prioritization - Lead, mentor, and grow a team of data scientists and ML engineers — fostering a culture of excellence, curiosity, and continuous learning - Build and develop talent: recruit top-tier data science professionals, design career development frameworks, and create pathways for growth at all levels - Champion the adoption of GenAI, Agentic AI, and LLM-powered architectures across the organization — defining reference frameworks for tool use, code interpretation, retrieval-augmented generation (RAG), and multi-agent workflows - Collaborate with product leadership to identify, elaborate, and prioritize high-impact projects - Oversee the delivery of AI-enabled microservices in collaboration with content and product engineering teams - Define and evolve engineering standards, best practices, and architectural patterns for scalable, production-grade AI systems - Stay at the cutting edge of AI/ML research; deliver regular presentations to internal stakeholders on emerging trends and their strategic implications - Partner cross-functionally to ensure data science solutions are operationalized effectively and drive measurable business value - All other duties, as assigned. Requirements: - 10+ years of experience developing and deploying AI/ML applications and delivering data-driven solutions at scale - Demonstrated experience leading and managing data science teams, including hiring, performance management, and talent development - Proven track record of building and scaling high-performing teams — including designing leveling frameworks, mentorship programs, and succession planning - Deep hands-on expertise in Generative AI, Large Language Models (LLMs), Agentic AI systems, and advanced NLP/Deep Learning techniques - Practical experience with LLM application design: prompt engineering, retrieval-augmented generation (RAG), model fine-tuning, tool use, and multi-agent orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen) - Graduate degree (Master's or PhD) in Computer Science, Engineering, Statistics, or a related quantitative discipline, or equivalent professional experience - Strong command of Python and core data science libraries (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) - Deep understanding of CS fundamentals, computational complexity, and algorithm design - Experience architecting and delivering large-scale distributed systems in an agile environment, including rapid prototyping and iterative development - Excellent communication and stakeholder management skills — able to translate complex technical concepts for executive and non-technical audiences Preferred Qualifications: - PhD in Computer Science with an AI/ML research focus and publications in top-tier venues - Experience in the healthcare or life sciences domain; familiarity with applying AI to pharmaceutical or market access data - Hands-on experience with AWS ML infrastructure: SageMaker, Lambda, S3, Snowflake, and related services - Experience with knowledge graphs, structured reasoning, and hybrid retrieval architectures - Prior experience operating at Director level or equivalent in a fast-paced, data-driven organization Benefits: - Medical and Prescription Drug Benefits - Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA) - Dental & Vision Benefits - Basic Life and AD&D Benefits - 401k Retirement Plan with Company Match - Company Paid Short & Long-Term Disability - Paid Parental Leave - Paid Time Off & Company Holidays Please note- all candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa. The expected base salary for this position ranges from $225,000 to $300,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to a base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people’s differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual’s abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment.

Title: Data Scientist, Senior Location: Oakland United States Job Description: Requisition ID # 171817 Job Category: Accounting / Finance Job Level: Individual Contributor Business Unit: Information Technology Work Type: Hybrid Job Location: Oakland Department Overview The Data Science & Artificial Intelligence Department consists of a "Delivery" team that develop data science and machine learning solutions. As a Delivery team, this Department uses industry leading data science and change management practices to drive PG&E's transition to the sustainable grid of the future. The Department works cross-functionally across the company to enable data driven decisions applying analytics, as well as improvements to relevant business processes. Deployed to some of PG&E's highest priority arenas, the Department does not specialize in a traditional utility domain, such as asset management or program administration, but instead specializes in extracting useful insights from disparate datasets and facilitating actions informed by these insights. Position Summary PG&E is looking for a senior Data Scientist with experience in Computer Vision 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. This team works on a wide variety of difficult problems, offering great variety in the work, and constant opportunity to explore and learn. Current and past engagements include: - Developing computer vision models that improve, accelerate, and automate grid asset inspections processes - Predicting electric Transmission & Distribution equipment failure before it occurs, allowing for proactive maintenance - Forming the analytical framework behind PG&E's Transmission Public Safety Power Shutoff PG&E is providing the full salary/pay range for this position. The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The range to reasonably expect will be around the minimum and the midpoint $126,000 - $163,000. The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E's discretionary incentive compensation programs. Bay Area Min: $ 126,000 Bay Area Max: $ 200,000 This position is hybrid, working from your remote office and the Oakland General Office (OGO) based on business needs. What You'll Do - Develop, calibrate, validate, and maintain scalable computer vision ML algorithms to extract intelligence from image-based data. - Iterate and incorporate new ML algorithms to continuously improve product performance under a variety of conditions. - Identify optimal analytical methods and solutions for algorithm development. - Provide insight and recommendations for the architecture design based on information obtained from machine learning algorithms, advanced mathematical models, and business expertise. - Create data pipelines to add structure to the resultant data extracted from images, and work to integrate the data into other algorithms and visualization tools and platforms. - Provide technical expertise in building an analytics-driven product pipeline. - Assess needs and recommend experiments and projects, suggest new algorithmic development, and drive tactical decisions about approaches and data requirements. - Collaborate with end-user and product owners to understand computer vision needs. - Design and implement methodologies for testing and accuracy assessment. - Provide production support for computer vision components. - Further the goals and positive, professional image of the Division through effective dealings with customers, stakeholders and other MEPPI divisions. Qualifications Minimum: - Bachelor's degree in data science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field - 4 years of experience in computer vision, machine learning, and/or image processing Desired: - Master's degree in data science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field - Advanced software engineering skills and experience with Python programming - knowledge of deep learning, including semantic segmentation and object detection - Ability to learn, adapt and utilize new technology related to the Power-I Substation Monitoring Platform - Advanced interpersonal, communications and presentation skills - Advanced analytical and problem-solving skills - Advanced computer skills with emphasis on Microsoft Office products to prepare reports, analysis and schedules - Experience with handling large datasets and cloud computing platforms (e.g. AWS, Azure, GCP, or other enterprise level analytics platforms - Experience turning business needs into technical requirements, and structuring developments, analysis and validation plans to meet requirements - Relevant industry experience (electric or gas utility, EV charging infrastructure, Vehicle-Grid integration, distributed energy resources, analytics consulting, etc.)