• Design, develop, and optimize scalable data solutions using GCP services, including BigQuery, Google Cloud Storage, and Cortex Framework. • Implement data pipelines with Terraform, Dataform, and Airflow Composer. • Collaborate with cross-functional teams to gather requirements and deliver impactful data products. • Utilize advanced data modeling techniques such as star schemas, snowflake schemas, tabular models, and dimensional models to support business intelligence initiatives. • Ensure data quality, integrity, and security across all data processes. • Develop dashboards and reports that effectively communicate insights to stakeholders. • Continuously improve data workflows and processes through automation and optimization. • Work within an agile environment to deliver high-quality solutions in a timely manner. • Foster an inclusive and collaborative team culture, leveraging diverse perspectives to enhance outcomes.

About Sayari: Sayari is a venture-backed and founder-led global corporate data provider and commercial intelligence platform that serves financial institutions, legal and advisory service providers, multinationals, journalists, and governments. Thousands of analysts and investigators in over 30 countries rely on our products to safely conduct cross-border trade, research front-page news stories, confidently enter new markets, and prevent financial crimes such as corruption and money laundering. Our company culture is defined by a dedication to our mission of using open data to prevent illicit commercial and financial activity, a passion for finding novel approaches to complex problems, and an understanding that diverse perspectives create optimal outcomes. We embrace cross-team collaboration, encourage training and learning opportunities, and reward initiative and innovation. If you like working with supportive, high-performing, and curious teams, Sayari is the place for you. POSITION DESCRIPTION Sayari is looking for an Entry-Level Associate Data Engineer to join our Data team located in Washington, DC. The Data team is an integral part of our Engineering division and works closely with our Software & Product teams, as well as other key stakeholders across the business. JOB RESPONSIBILITIES: Write and deploy crawling scripts to collect source data from the web Write and run data transformers in Scala Spark to standardize bulk data sets Write and run modules in Python to parse entity references and relationships from source data Diagnose and fix bugs reported by internal and external users Analyze and report on internal datasets to answer questions and inform feature work Work collaboratively on and across a team of engineers using basic agile principles Give and receive feedback through code reviews SKILLS & EXPERIENCE Required Skills & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field — or equivalent hands-on experience Working knowledge of SQL and relational databases (such as Postgres) Experience writing code in Python (e.g., pandas, NumPy, Scrapy) or Java/Scala Familiarity with data processing frameworks like Apache Spark, or strong interest in learning them on the job Understanding of object-oriented programming principles and collaborative development in shared repositories Ability to work closely with data scientists, analysts, and engineers to help solve complex problems across large, diverse datasets Desired Skills & Experience Exposure to workflow orchestration tools such as Apache Airflow and CI/CD pipelines Familiarity with graph, search, or NoSQL databases Experience contributing to data ingestion, transformation, or ETL pipelines Comfort working with containerized applications (e.g., Docker) Experience using cloud-based data tools in AWS or GCP environments Introductory experience or coursework involving machine learning, especially in distributed systems like Spark Awareness of entity resolution concepts or interest in learning how entities are linked across data sources Experience working with international or non-English datasets The target base salary for this position is $85,000-$100,000 plus company bonus and equity. Final offer amounts are determined by multiple factors including location, local market variances, candidate experience and expertise, internal peer equity, and may vary from the amounts listed above. Benefits: 100% fully paid medical, vision, and dental for employees and their dependents Generous time off; we observe all US federal holidays, close our office for a winter break (12/24-12/31), in addition to granting 18 PTO days and 10 sick days Outstanding compensation package; competitive commissions for revenue roles and bonuses for non-revenue positions A strong commitment to diversity, equity, and inclusion Eligibility to participate in additional benefits such as 401k match up to 5%, 100% paid life insurance (up to $100,000 coverage),, and parental leave A collaborative and positive culture - your team will be as smart and driven as you Limitless growth and learning opportunities Sayari is an equal opportunity employer and strongly encourages diverse candidates to apply. We believe diversity and inclusion mean our team members should reflect the diversity of the United States. No employee or applicant will face discrimination or harassment based on race, color, ethnicity, religion, age, gender, gender identity or expression, sexual orientation, disability status, veteran status, genetics, or political affiliation. We strongly encourage applicants of all backgrounds to apply. Pay Range $85,000 — $100,000 USD

About AB InBev AB InBev is the leading global brewer and one of the top 5 consumer goods companies in the world. With over 500 beer brands, we are the number one or two in many of the main beer markets worldwide, including North America, Latin America, Europe, Asia, and Africa. About ABI Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group enables us to maximize the use of data and drive AB InBev's digital transformation and organic growth around the world. About BEES: As a tech cell of our organization, we have a simple goal: to grow. Grow as people, as professionals, and as a company. To achieve this, we use technology to create digital solutions that simplify our customers’ lives, make their decisions smarter, and their businesses more profitable. With offices in São Paulo and Campinas, we encourage our team to attend key events and meaningful in-person meetings throughout the year. Responsibilities: Implement ETL / ELT solutions and data integration between multiple systems and data sources. Design, implement, and maintain data pipelines to ingest, store, and process large volumes of data. Collaborate with other teams to ensure data security and compliance. Design, develop, and implement solutions to optimize the performance and scalability of data processing systems. Requirements and qualifications: Benefits: Performance-based bonus* Attendance bonus* Private pension plan Meal allowance Casual office and dress code Days off* Health, dental, and life insurance Medicines discounts WellHub partnership Childcare subsides Discounts on Ambev products* Clube Ben partnership Scholarship* School materials assurance Language and training platforms Transport allowance Rules applied* Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. For more information: www.abinbev.com

Department: Sales and Delivery Team - Empower Industry: Information Technology & Services, Computer Software, Management Consulting Location: United States Experience Range :                  6+ years Basic Qualification: Travel Requirements: Not required Website :                                    www.exusia.com Exusia, a cutting-edge digital transformation company, seeks a Data Scientist to join our global delivery team's Data Engineering & Analytics practice in the United States. What’s the Role? The Data Scientist role will be part of our Data Engineering & Analytics practice and will be focused on delivering best of breed solutions to our clients leveraging Advanced Analytics & Machine Learning tools and techniques. The candidate will also be part of the practice team and contribute to Competency development, driving innovation through various internal initiatives within the company. Candidate should have more than 6 years of experience with broad exposure to Data Engineering, Data Mining, Business Intelligence & Machine learning Responsibilities: Work on client projects to deliver Data insights using AI, ML and Advanced analytics techniques Architect, Build & Deploy scalable Machine Learning models both on premise & on cloud platforms Work with the business stakeholders to Identify problem statement, check availability of data and identify appropriate solutions to provide insights to address the problems and deliver better outcomes Work closely with the data engineering teams to source and ingest data into data lakes Look at semi structured and unstructured data and propose solutions to translate them into structured data format to provide better insights Collaborate with S & D leadership to propose and execute ML POCs to deliver quick wins for the clients Providing mentorship to junior resources within the data scientist community Mandatory Skills: Should have 6+ years of experience working in Business Intelligence, Analytics and Machine Learning Extensive hands-on experience analyzing data with SQL Experience in data mining of large data sets using tools like SAS / R / Python to identify patterns Experience in using tools like Alteryx or Python libraries like Pandas for preprocessing & cleaning data Experience using BI tools like Tableau or PowerBI for self-service analysis and Visualization of data Document processing using OCR conversion techniques Collaborate with data engineering teams to ingest unstructured & semi structured data into data lakes Identify data sets, attributes and patterns to propose appropriate ML approach for a given problem Strong fundamentals in statistics and its application for building and validating ML models Understanding of Supervised, Unsupervised and Reinforcement learning approaches Strong experience in using Regression / Classification / Clustering algorithms and their application for appropriate use cases Build models using R, Python or Cloud native ML offerings from AWS, AZURE and GCP platforms Deploy ML models at scale using tools like TensorFlow Serving, Sagemaker, Torchserve Problem-solving skills along with good interpersonal & communication skills Nice-to-Have Skills Exposure to Azure, AWS and Google Cloud Platforms with hands on exposure to ML service offerings Experience working with teams located in multiple locations across the globe Knowledge and understanding of various Data repositories, Databases, ETL and BI tools and data assets hosted on Hadoop or cloud platforms Agile development experience & collaborating with data engineering teams Familiarity with Spark, Scala and distributed data processing platforms will be a big advantage Ability to work with tools like Jupyter / Databricks notebooks to interactively work with data sets Exusia, Inc. is committed to maintaining a dynamic work culture. We offer an excellent compensation and benefits package to all employees. About Exusia: Exusia (http://www.exusia.com/) is a global technology consulting company that empowers its clients to gain a competitive edge by accelerating business outcomes and providing strategy and execution capabilities around digital, analytics and cloud solutions. The company has established its leadership position by solving some of the world's largest and most complex data engineering and analytical problems in the healthcare, financial, telecommunications, consumer products and high technology industries. Exusia’s mission is to transform the world through the innovative use of information. Over the past 3 years, Exusia was recognized by Inc. 5000 and by Crain’s publications as one of the fastest growing privately held companies in the world. Since the company’s founding in 2012, Exusia has experienced an impressive seven years of revenue growth and has expanded its operations in the Americas, Asia and Africa. Exusia has recently also been recognized by publications such as the CIO Review, Industry Era, Insight Success and the CIO Bulletin for the company’s innovation in IT Services, the Telecommunications and Healthcare industries and it's entrepreneurship. The company is headquartered in Miami, Florida, United States with development centers in India. Interested applicants should apply by forwarding their CV to: elevate@exusia.com