The Data Systems Analyst is responsible for leading the onboarding of data assets into our cloud data platform. This role also monitors data for data quality issues and communicates with stakeholders regarding a resolution. DUTIES AND RESPONSIBILITIES: · Works with partners to help guide and assist in creating a data mapping according to defined specifications. · Communicates directly with leadership on data needs and key deadlines. · Researches and identifies data quality issues reported through onboarding or found through new file submission and works with client the team on a resolution. · Fields ongoing, incoming requests and questions regarding data specifications. · Reviews files received for compliance with data needs, including testing files and identifying the business rules that will need to be configured in mapping tool. · Configures mapping tool to support translation from source data to desired format including testing of the tool and providing clear documentation to internal resources and customer. · Acts as resident expert for data requirements/specifications · Remains informed and up to speed with ongoing changes and evolution of data specs. · Leads co-worker trainings regarding data specifications and requirements. · Performs other related duties as assigned by management.

Senior Data Center Commissioning Provider At Salas O’Brien we tell our clients that we’re engineered for impact. This passion for making a difference applies just as much to our team as it does to our projects. That’s why we’re committed to living our values every day: inspiring, achieving, and connecting as shared owners of our success with a focus on a sustainable future. Building for the long-term means that all of our team members can expect to work on amazing projects with a people-first approach to problem solving. It also means that each member of our team has truly limitless potential to build a unique, meaningful, and high-impact career—and they’ll receive great total rewards along the way. About Us: Founded in 1975, Salas O’Brien is an employee-owned engineering and professional services firm focused on achieving impact for our clients, our team, and the world. We know that tomorrow’s requirements are today’s opportunities, and we are here to design lasting solutions for pressing challenges. We work across a variety of industries providing integrated engineering and consulting services. Our specialized experience includes design for data centers, healthcare, science and technology, high-rise buildings, clean energy, education, and other building types as well as structural and building sciences, infrastructure asset management, advanced robotics, and more. Our technical expertise is paired with an exceptional team of business development, human resources, finance and accounting, information technology, and marketing professionals, all of whom play a key role in bringing our commitments to life every day. Key Responsibilities Project & Client Leadership - Serve as the primary client contact and commissioning authority on assigned projects - Lead commissioning strategy for complex and multi‑system projects from pursuit through warranty - Build and maintain strong client relationships through clear communication, responsiveness, and technical credibility - Proactively identify and resolve project risks, scope gaps, and technical issues Commissioning Execution - Develop commissioning scopes of work, schedules, and fee estimates for proposals and active projects - Lead design phase reviews including OPR, BOD, plans, and specifications to ensure commission ability and performance alignment - Facilitate OPR workshops and commissioning planning meetings as required - Oversee development of commissioning plans, test procedures, and documentation, including: - Pre‑Functional Checklists (PFCs) - Functional Performance Tests (FPTs) - Integrated Systems Tests (ISTs) - Perform and/or oversee site observations, system testing, and issue resolution - Lead commissioning meetings and ensure accurate documentation and follow‑through Financial & Operational Accountability - Maintain accountability for project budgets, schedules, and deliverables - Collaborate with Project Accountants to support accurate invoicing, forecasting, and financial performance - Partner with the Cx Project Coordinator to maintain project plans and resource alignment in Vision - Ensure project execution aligns with contract scope, safety requirements, and internal quality standards Technical Leadership & Mentorship - Provide technical guidance and quality oversight for commissioning staff - Mentor and support the development of junior and mid‑level commissioning providers - Contribute to the refinement of commissioning standards, tools, templates, and best practices - Support internal training and knowledge sharing initiatives Closeout & Warranty Support - Lead development of commissioning reports and systems manuals - Facilitate warranty walkthroughs and ensure documentation is updated accordingly Skills & Competencies - Demonstrated leadership in commissioning and project delivery - Advanced understanding of building systems within the built environment - Strong client‑facing communication and relationship management skills - Proven ability to manage multiple complex projects concurrently - Strong analytical, problem‑solving, and decision‑making skills - Working knowledge of local energy codes, LEED commissioning requirements, and industry standards - Financial acumen related to project budgets, schedules, and contracts - Proficiency in reading and interpreting construction documents and drawings - Experience with Building Automation Systems (BAS) preferred Qualifications & Experience - Bachelor’s degree in a related field and 7 - 10 years of progressive experience in commissioning, MEP construction, or project management OR equivalent combination of education and experience - Demonstrated experience leading complex commissioning projects independently - Project Management certification preferred - Professional Engineering (PE) license preferred - Building Commissioning certification preferred - OSHA 10‑hour Construction Safety and NFPA‑70E preferred Travel: Up to 75% Compensation & Benefits: The expected base salary range for this role is $90,000 - $115,000 USD per year. Actual compensation will be determined based on a number of factors including skills, experience, qualifications, and location. This role is also eligible for performance-based bonuses and a comprehensive U.S. based benefits package, including: - Medical, dental, and vision insurance - 401(k) with company match - Paid time off and company holidays - Wellness programs and employee assistance resources - Professional development support For more information, visit our full benefits overview here. Equal Opportunity Employment Statement Salas O’Brien provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state/provincial, or local laws. Salas O’Brien will accommodate the disability-related needs of applicants as required by law. Third-Party Agency Notice Salas O’Brien does not accept unsolicited resumes from external recruiters or agencies. We only work with approved partners engaged directly by our Talent Acquisition team for specific searches. Unsolicited submissions will not be eligible for placement fees. #LI-Remote

ABOUT SINCH Sinch is pioneering the way the world communicates. More than 150,000 businesses — including Google, Uber, Paypal, Visa, Tinder, and many others — rely on Sinch’s Customer Communications Cloud to power engaging customer experiences through mobile messaging, voice, and email. Whether you need to verify users or craft omnichannel campaigns, Sinch makes it easy. Our AI-infused Super Network, APIs, and applications ensure you can connect with your customers reliably and securely, at every step of their journey. At Sinch we “Dream Big”, “Win Together”, “Keep it simple”, and “Make it Happen”. These values are our foundation! DESCRIPTION Remote position - This role develops and operates large‑scale Machine Learning models to detect and prevent fraud, owning the full ML lifecycle from experimentation to production. You will build scalable pipelines, ensure system reliability in high‑volume environments, and collaborate with engineering and product teams to evolve the Anti‑Fraud platform. Main responsibilities: - Design, train, and deploy production‑grade ML models, including text classification, anomaly detection, and image classification. - Own the full ML lifecycle—from experimentation and validation to deployment, monitoring, and continuous improvement. - Build and maintain scalable data pipelines for preprocessing, validation, and transformation of large datasets. - Ensure ML systems are reliable, observable, and scalable in high‑volume production environments. - Collaborate closely with Engineering, Product, and Anti‑Fraud teams from problem definition to delivery. - Implement and optimize ML algorithms using Python and frameworks like TensorFlow, PyTorch, and Scikit‑learn. - Optimize model and system performance in cloud environments, particularly AWS. - Promote best practices in experimentation, reproducibility, monitoring, and documentation. REQUIREMENTS - Experience building and deploying ML systems in production. - Strong Python skills and hands‑on experience with ML libraries (Scikit‑learn, TensorFlow, PyTorch). - Experience with large‑scale data processing frameworks (e.g., Databricks, Spark). - Experience designing and maintaining production ML pipelines. - Solid understanding of system design, scalability, and reliability. - Experience with cloud platforms (preferably AWS). - Strong problem‑solving skills and ability to work autonomously. - Advanced or fluent English. Big Plus: - Experience with large‑scale text classification, anomaly detection, or image classification. - Background in fraud detection or high‑risk/high‑volume environments. - Familiarity with orchestration tools (Airflow, Dagster). - Experience with Docker and Kubernetes. - Experience working with Lakehouse architectures. OUR HIRING PROCESS We are committed to ensuring a recruitment process that is fair, objective, consistent, and inclusive. Our approach includes structured, competency-based interviews designed to evaluate your skills, experience, and qualifications relevant to the role. At times, we may include a data-driven assessment to enhance our hiring success and identify candidates likely to excel. We believe in a two-way process and encourage you to ask questions throughout the journey. If this role isn't what you're looking for, please explore the other opportunities listed on our career page: https://www.sinch.com/careers/. No matter who you are, we hope you find an exciting path forward - hopefully with us! BENEFITS STAY HEALTHY: We cover 100% of medical and dental plans for Sinchers and eligible dependents through Bradesco Saúde. FLEXIBLE BENEFITS: With the Caju flexible benefit card, our Sinchers can choose to use benefits on food, education, and home office assistance. FAMILY FIRST: Our Sinchers can enjoy paid maternity leave for 180 days and paternity leave for 30 days. Plus, we provide daycare assistance for kids up to five years old. EVERYDAY WELLBEING: We partner with Wellhub to help Sinchers access gyms and wellness options. SECURE YOUR FUTURE: Our Partnership with Prudential life insurance provides coverage for all Sinchers in the events of unexpected absences, serious illness, accidents, and disabilities. DIVERSITY AND INCLUSION: We offer annual reimbursements for certain expenses related to disabilities and/or transgender needs. TAKE A BREAK: Our Sinchers can take a day off on their birthday to celebrate with their loved ones.

• Analyze performance across the candidate funnel (Lead → Application → Placement) to identify trends and opportunities • Evaluate lead sources (e.g., job boards, digital marketing, referrals) to determine quality and effectiveness • Develop and track key metrics such as conversion rates and starts per 1,000 leads • Identify gaps in lead attribution and support efforts to improve data accuracy and consistency • Aggregate, clean, and structure data from multiple sources to support a unified data model • Partner with recruiting and operations teams to uncover workflow inefficiencies and improve speed-to-engagement • Translate data into clear insights, dashboards, and executive-ready summaries • Support testing and analysis of initiatives aimed at improving conversion and lead quality