Role Description We are seeking a skilled Junior Data Scientist with solid Python programming and analytical capabilities to support data-driven initiatives and infrastructure setup across projects. The ideal candidate will be responsible for: - Configuring Azure environments - Maintaining Python-based automation and analytics solutions - Delivering actionable insights through data analysis This role requires collaboration with cross-functional teams and an understanding of operational environments, particularly within BPO or call center settings. The successful candidate will leverage Python libraries such as Pandas, NumPy, and Scikit-learn to process and analyze data, while ensuring Azure environments are configured according to best practices and security standards. In addition, the role involves: - Identifying operational improvement opportunities - Contributing to workflow enhancements within BPO environments Qualifications - Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field (preferred) - Minimum 2 years of experience in data science, data analysis, or a related field - Fluent English (B2 Level) is essential, plus either French, German, or Spanish is a plus - Conversant with Agentic AI concepts Requirements - Experience with Python, data manipulation, and machine learning - Strong analytical skills with a proven track record of delivering high-quality results - Understanding of statistical methods and some knowledge of machine learning algorithms - Experience working in a BPO or call center environment, either directly or as a support function - Familiarity with Azure services and best practices for setting up and configuring environments (preferred) - Excellent communication skills to effectively collaborate with cross-functional teams and stakeholders - Ability to identify and resolve complex technical issues efficiently Benefits - Competitive compensation package - Excellent learning and development opportunities - Growth opportunities within an expanding team - Fully remote working available (EMEA/APAC/LATAM)

Role Description We are seeking a talented and analytical Data Scientist to turn data into actionable insights that drive business decisions. The ideal candidate will have a strong foundation in statistics, machine learning, and data analysis, with the ability to work across large datasets to uncover trends and build predictive models. This role requires both technical expertise and business acumen in a fully remote environment. - Analyze structured and unstructured data to identify trends, patterns, and insights - Develop, train, and deploy machine learning models - Perform data cleaning, preprocessing, and feature engineering - Build predictive and prescriptive models to support business objectives - Collaborate with cross-functional teams to define data-driven solutions - Visualize data and present findings to stakeholders - Evaluate model performance and continuously optimize algorithms - Work with large datasets using tools such as SQL, Python, or R - Maintain documentation for models, datasets, and processes - Stay updated on emerging trends in data science and AI Qualifications - Must be currently residing in the United States - Valid U.S. work authorization (citizen, permanent resident, or authorized work permit holder) - Proven experience as a Data Scientist or similar role - Strong proficiency in Python or R - Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) - Solid understanding of statistics, probability, and data modeling - Experience with SQL and data manipulation - Strong analytical and problem-solving skills - Excellent communication and presentation abilities Requirements - Degree in Data Science, Computer Science, Statistics, or a related field - Experience with big data technologies (e.g., Spark, Hadoop) - Familiarity with cloud platforms (AWS, Azure, or Google Cloud) - Experience with data visualization tools (Tableau, Power BI) - Knowledge of MLOps practices and model deployment Work Environment - Fully remote role with flexible scheduling options - Must be available to work within U.S. business hours - Collaboration with distributed teams and stakeholders Benefits - Opportunity for long-term engagement or full-time conversion (if applicable) - Professional development and certification support

Role Description Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive models, machine learning products, and applied AI solutions that help Autodesk better understand customers and improve go-to-market decisions across the customer lifecycle. In this role, you will apply machine learning, statistical methods, and practical AI techniques to complex business problems with meaningful impact. You will work across complex, real-world datasets, develop and improve models, and partner with cross-functional stakeholders to turn data into scalable products and business insights. This role is well suited for a strong individual contributor who brings deep technical judgment, thrives in ambiguity, and can guide high-impact work across multiple efforts. - Design, develop, validate, and improve data science models and products. - Participate in stakeholder planning sessions to gather context on ambiguous business challenges, and recommend data science modeling approaches that can drive business impact. - Define customer and business value metrics, evaluation approaches, and validation criteria for models and products, including in situations with imperfect or incomplete data. - Use SQL to transform complex data and build scalable datasets for modeling and analysis. - Work with the machine learning engineering team to develop, validate, and deploy machine learning and AI products. - Collaborate with product owners and other stakeholders to shape new data product ideas or enhancements. - Develop technical design and architecture documentation for data science and AI products. - Help drive technical direction, working alongside engineering and product owners to navigate tradeoffs and execution decisions. - Manage priorities across multiple projects, including helping shape tradeoffs and cross-functional team priorities. - Become an expert in Autodesk data - recommend approaches to make reusable features and data products that can be leveraged to ensure data science products are built on trusted, stable and scalable foundations. - Communicate analyses, model performance, methodology, and recommendations clearly to technical and non-technical audiences. Qualifications - 5+ years of experience and a graduate degree in data science, computer science, statistics, or a related quantitative field. - Advanced Python and SQL skills, including experience working with large-scale data warehouses. - Experience leading end-to-end development of machine learning models, data science products, or advanced analytical solutions in a business environment. - Strong communication skills and the ability to explain technical concepts, decisions, and tradeoffs to different audiences. Requirements - Familiarity with go-to-market data such as Salesforce, financial metrics, or product usage and engagement data. - Experience using AI productivity and coding tools. Benefits - Salary is one part of Autodesk’s competitive compensation package. - For Canada based roles, we expect a starting base salary between $0 and $0. Offers are based on the candidate’s experience and geographic location, and may exceed this range. - In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Company Description Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Role Description Earthjustice’s Washington, DC Regional Office is seeking a fall 2026 science intern. We are seeking graduate students who share a passion for justice and a healthy environment. The intern will research various scientific questions to assist Earthjustice’s advocacy work before federal agencies and courts. The fall 2026 science intern is expected to work 10-15 hours/week for 10-12 weeks. The successful candidate may work fully remote from the U.S. or on a hybrid schedule from our Washington, DC office. Under the supervision of the Sr. Staff Scientist, the intern may have the opportunity to: - Contribute comment letters to federal agencies - Create factsheets for community partners - Write blog posts - Draft internal memos summarizing research - Engage with Congressional members/staffers Qualifications - Enrolled in a graduate program with an expected graduation date no earlier than December 2026 - Background in environmental science, biology, chemistry, engineering, public health, or a related field - Experience with and/or have taken courses on environmental health topics (e.g., epidemiology, toxicology, human health risk assessment) - Working knowledge of MS Office Suite and comfort navigating and learning new tools - Outstanding research skills, including ability to conduct scientific literature reviews and basic quantitative data analyses - Strong written and verbal communication skills with ability to present complex information to various audiences - Demonstrated commitment to Earthjustice’s values of Justice, Excellence, Inclusion, and Partnership - Must commit to 10-15 hours/week for 10-12 weeks Requirements - This role may require the ability to: - Sit for extended periods with occasional standing and walking - Type, file, and/or handle office equipment - Lift and carry materials - Read documents, conduct computer work and document review Compensation Interns at Earthjustice receive an hourly rate that is considered taxable income. The current hourly rate for graduate students is $27.39 and reflects our current fiscal year structure, which will refresh on July 1, 2026, subject to Board approval. To Apply Interested candidates should submit the following materials by 5:00pm PT on Friday, May 15, 2026 via Jobvite. Incomplete applications will not be considered. Applications will be reviewed beginning May 18 and offers extended no later than July 8. - Resume - One-page cover letter that addresses: - (1) Why you want to work with Earthjustice’s Washington, DC Regional Office - (2) Your general weekly availability and confirmation you can work for 10-12 weeks - (3) An indication of any applicable deadlines or requirements that are relevant to your ability to accept an offer - Additional Documents (select “Add Files” in Jobvite): - (1) Proof of enrollment in your academic program (e.g., verification from your registrar’s office, unofficial transcript) - (2) Writing sample of up to 10 pages that illustrates the applicant’s ability to analyze an environmental issue Finalists will be asked to submit 2 references. Information about our hiring process and tips for success can be found at https://earthjustice.org/about/jobs/hiring-process . Please reach out to jobs@earthjustice.org if you are having technical difficulties submitting your application. No phone calls, drop-ins, or hard copies. Earthjustice only considers applications submitted for current openings via Jobvite. Unsolicited resumes or resumes for posted positions that are not submitted via Jobvite will not be reviewed or retained. As an equal opportunity employer, we are committed to employment practices that ensure that employees and applicants for employment are provided with equal opportunities without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability, medical condition, veteran status, marital status, pregnancy, sexual orientation, gender identity, gender expression, genetic information or any other factor that is not related to the position. For positions located within the City and County of San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. For positions located within the City of Los Angeles: We will consider qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring.