Title: REMOTE- Data Scientist Location Woonsocket, Rhode Island ZIP/Postal Code 02895 Job Type Contract,Perm Possible Category Data Warehousing Req # BOS-53202189-be02-491d-9c65-0f1b49036388 Pay Rate $54 - $68 (hourly estimate) Job Description: Insight Global is looking for a remote Data Scientist to join the analytics organization at a global pharmacy retail client. This candidate will be responsible for providing machine learning modeling experience and time series forecasting for a market prioritization initiative. This candidate will be building machine learning models and utilizing time series forecasting to create data pipelines for the internal marketing tool. The ideal candidate will have over 3 years of data science experience and will have most recently worked with time series forecasting models and machine learning models. Any experience with AI tools is a plus! This is a 3 month contract with the potential for extension or conversion. The hourly rate for this role ranges from $55 - 65/hr. Exact compensation may vary based on several factors, including skills, experience, and education. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Required Skills & Experience Must Haves: - 3+ years of data science experience - 2+ year of time series forecasting experience - 2+ years of machine learning modeling experience - Strong data manipulation and pipelining skills - Strong communication and collaboration skills Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. About Binance Accelerator Program Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE Who may apply Current university students and recent graduates Responsibilities:Leveraging knowledge of large-scale models and intelligent agents, participate in the design and development of a series of AI-powered financial trading agency skills based on Web3 data, and integrate them into practical systems. Perform post-training of large-scale language models (SFT, RL, etc.) to enhance the model's ability to utilize Binance's internal trading skills. Assist in building and maintaining benchmark datasets to evaluate the performance of AI systems, and assist in building and iterating workflow prototypes for financial AI agent systems. Work closely with senior engineers to complete system design, integration, and deployment. Requirements: Currently pursuing or holding a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Artificial Intelligence, Financial Engineering, Automation, or a related field. Hands-on experience with post-training techniques such as Supervised Fine-Tuning (SFT) and Reinforcement Learning (RLHF / RLAIF) . Familiar with common fine-tuning and reinforcement learning frameworks, such as Llama Factory, Slime, Verl, and OpenRLHF. Familiarity with at least one mainstream deep learning framework (PyTorch, TensorFlow) and common LLM training/evaluation toolkits (Hugging Face Transformers, DeepSpeed, vLLM, etc.). Excellent communication skills and a strong willingness to learn quickly. Able to commit at least 6 months, working 5 days a week. Why choose Binance? • Shape the future with the world's leading blockchain ecosystem • Work alongside world-class talent in a user-centric, flat, global organization • Independently complete unique and fast-paced projects in an innovative environment • Thrive in a results-oriented work environment with opportunities for career development and continuous learning • Competitive compensation and benefits、 • Work-from-home available (specific arrangements may vary depending on the nature of the business team) Good communication skills and willingness to learn quickly. Ability to commit at least for a 6 months tenure, 5 days per week. Why Binance • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Why Binance • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Why Binance • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Title: Staff Data Scientist, Monetization Location: Toronto, ON, Canada - Engineering - Regular Job Description: About Pinterest: We are looking for an experienced and highly capable Data Scientist to help us drive step function improvements in our ads delivery at Pinterest. In this role, you will: - Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future. - Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis. - Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists based in the Toronto office. - Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds. - Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation. - Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches) - Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks) What we’re looking for: - 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data, preferred to have working knowledge of ads delivery and optimization systems. - Proven ability to apply scientific methods to solve real-world problems on web-scale data - Expertise in SQL and Python - Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions - Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams - Experience leading key technical projects and substantially influencing the scope and output of others - Experience in digital ad delivery stacks preferred - Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs. - High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables. - Bachelor’s or Master’s degree in a relevant field such as Data Science, or equivalent experience In-Office Requirement Statement We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times per half and therefore can be situated anywhere in Ontario. #LI-CH1 #LI-HYBRID Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Title: Senior Scientist Location: Pacific Northwest, U.S. (Remote) Department: Sediment & Risk Assessment Job Description: This Senior Sci entist opportunity is for a flexible and self-motivated individual that is willing to learn and grow as part of a team while providing environmental assessment expertise to projects within the Sediment and Risk Assessment (SRA) and Remediation (REM) service lines at EHS Support. As a Senior Scientist, you will be joining a high-performance team of risk assessors, toxicologists, geologists, ecologists, scientists, and engineers that is focused on providing high-quality technical and strategic solutions to a variety of clients. Your primary responsibilities in the Senior Scientist position will include managing and leading multi-media environmental investigations for routine and complex scenarios under federal, state, and international programs. You will also be responsible for working collaboratively with a team of talented professionals, cultivating client relationships, and providing mentorship to junior team members. Essential Responsibilities - Lead and manage routine to complex projects with strict adherence to schedule, budget, and quality. - Lead the design and implementation of environmental investigations conducted as part of remedial investigations, particularly contaminated sediment investigations, ensuring compliance with regulatory requirements under CERCLA, RCRA, or state programs. - Lead design, conduct, and oversight of data analyses in support of investigation objectives. - Lead preparation of high-quality technical deliverables and presentations for effective communication of investigation findings. - Advocate for the technical findings and conclusions of investigations and negotiate with state and federal regulators. - Stay abreast of industry trends, advancements, and emerging issues. Participate in technical conferences or work groups to advance novel approaches. - Implement and uphold rigorous quality assurance processes to maintain the highest standards in investigation methodologies and reporting. - Oversee multiple projects simultaneously, ensuring timely and successful completion within budget constraints. - Collaborate with cross-functional teams to integrate investigations into broader environmental impact assessments. - Mentor and upskill junior team members. Specific Experience and Skills - 10+ years of experience in environmental consulting and site investigation, with a strong record of successful project outcomes and management. - Proven leadership and management skills, with experience in mentoring and developing staff. - Strong knowledge of regulations and guidance for remedial investigation and risk assessment under state and federal programs (e.g., RCRA, CERCLA), particularly Washington and Oregon state regulatory programs. - Proven leadership in designing, planning, and executing programs within the Remedial Investigation/Feasibility Study project life cycle. - Strong analytical and problem-solving abilities. - Excellent written and verbal communication skills. - Exceptional interpersonal skills. - Commitment to a behavior-based safety culture. Education and Licenses - M.S. degree in biology, chemistry, geology, ecology, engineering, environmental science, natural resources, toxicology, or a related field. Benefits - Generous Vacation Policy - Health Benefits (medical, dental, vision) - 401k w/matching options - Short- & Long-Term Disability - Life Insurance - Sick Time - Bonus Opportunities Our Principles - Strive for excellence, always - Be open, honest, and direct - Assume good intentions - Trust coworkers, leadership, and clients - Listen to learn - Be accountable for our work - Foster teamwork - Demonstrate integrity - Take pride in one’s work - Live your personal values - Provide a safe and healthy work environment that promotes wellness - Have fun! EHS Support is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.