Role Description Within the Accounting function at BenchPrep, you'll play a pivotal role in our finance team. Your focus will be on maintaining accurate financial records, preparing reports, analyzing data, and ensuring regulatory compliance. You'll contribute to budgeting, forecasting, audits, and process improvements, supporting our financial health and strategic decision-making. The ideal candidate has a strong background in accounting, financial analysis, and reporting, along with excellent analytical skills, attention to detail, and the ability to communicate financial information effectively across the organization. Proactivity, problem-solving abilities, and a commitment to continuous improvement are also essential. - Manage accounting function including account reconciliations, journal entries, AR, AP, and Billing - Analysis and review of company expenditures, confirming proper allocation of expenses to the various departments, and reporting to these departments as necessary - Review transactions to ensure accounting treatment is in accordance with GAAP and company policies and procedures - Analyze billing transactions to ensure proper allocation of revenue recognition policies - Review general ledger accounts and making all necessary journal entries including posting monthly, quarterly, and yearly accruals - Assist in building financial statements including balance sheet, income statement, and changes in financial position, as well as budget variance analysis - Assist in the design and preparation of budgets for review by management - Prepare year-end schedules for the annual tax returns - Look for ways to improve upon accounting processes and procedures Qualifications - Bachelor’s degree in accounting; CPA preferred - 3-5 years (Staff Accountant), or 5-8 (Sr Accountant) years in accounting or auditing; public accounting experience preferred - Team player with a positive attitude towards contributing and learning - Thorough knowledge and experience in the areas of financial statement preparation, GAAP, and revenue recognition - Strong verbal/written communication skills - Excellent analytical and problem solving skills - Ability to work well independently and in a team environment - Self starter, quick learner, and ability to multitask on a regular basis - Detail-oriented with excellent organizational skills and deadline driven - Capacity to thrive in a fast-paced environment - Strong sense of ownership on issues and following through to completion - Advanced proficiency with Microsoft Excel - Experience working in accounting systems (NetSuite, Intacct, Quickbooks, etc.) strongly preferred Benefits - Medical and ancillary benefits - Potential for yearly bonus - Stipends for work-from-home expenses - Flexible paid time off (our version of unlimited PTO) - Annual professional development stipend dollars - Competitive base salary Company Description We deliver the most advanced and flexible learning experience for certification, credentialing, test prep, continuing education, and training. Our cloud-based learning platform helps training organizations, associations and the extended enterprise deliver a highly engaging and effective learning experience for individuals looking to advance their careers. We incorporate the latest in learner-centered technology, including personalization, gamification, data science, usability and omni-channel delivery. We’re committed to helping people learn better, and that starts with our own people. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are looking for high performing and motivated professionals who are excited about the chance to leverage technology to impact the lives of millions of learners. Join us.

Title: Director, Data Science Location: Chicago; Los Angeles; New York Omnicom Media (OM), the media services division of Omnicom Group Inc. (NYSE: OMC) – delivers transformational experiences for consumers, clients, and talent. Powered by the Omni marketing orchestration system, OM connects best-in-class capabilities that enable our full-service media agencies OMD, PHD, and Hearts & Science to deliver more relevant and actionable consumer experiences, more productive and proactive client experiences, and more collaborative and rewarding talent experiences for the more than 24,000 people serving the world’s leading brands in OM agencies around the globe. Team Overview We are a team of engaged data-curious professionals who continuously seek new and improved ways to learn from our extensive data assets. We share ideas, code, outcomes, and credit for our collective efforts. We're looking for explorative, independent data scientists to grow with us as we tackle ever-changing challenges. Position Overview As a company, we serve as the foundational data and technology layer in which analytics and insights can be accessed through a single lens. Our main goal is to advance our clients’ advertising and marketing strategies through the use of smart data and technology application that unlock insights and drive business results. Our unique approach to data and technology – one that relies on transparency, neutrality, and interoperability – allows us to deliver purpose-built and scalable solutions that make data actionable. We have teams of analysts, data and marketing scientists, consultants, and technical experts to help us meet the business goals of our clients. Join our dynamic and diverse team – data solutions for marketers, by marketers. Key Responsibilities As a member of the Data Science team, you will work with agency strategists and media buyers to create solutions that shape the strategic direction of your client’s marketing plans through data-driven insights, audience solutions, and measurement techniques. This will involve - Interacting with client and programmatic teams (internal agency and external) to plan & execute optimization strategies as well as test & measurement plans related to media performance - Working with tech partners directly regarding data, clean rooms, custom bidding platform functionality, and troubleshooting related issues - Working with data from ad servers, DSPs, measurement partners, and other online and offline datasets to develop client-specific solutions - Collaboratively ideating and building tools that aid with analysis and ML transparency, visualization, and performance measurement Required Skills And Qualifications - 6+ years of industry experience; knowledge of ad-tech ecosystem, programmatic advertising, and agency work experience a plus - Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences, or business/marketing related fields - Advanced quantitative degree or intensive bootcamp experience is preferred - Must have hands-on expertise in Python; SQL proficiency preferred - Experience with cloud computing platforms such as AWS or GCP - Experience managing data scientists and end-to-end analytics projects - Direct exposure to client media, marketing, and analytics teams Our culture and working style within the group fosters a positive, productive, entrepreneurial team spirit. We demonstrate a strong working knowledge of media across all channels and are data driven in our approach. We use analytic and technical knowledge to identify the most effective strategies to address our clients’ needs. We also work to stay sharp and up to date with our skills and trends in the marketplace that help us bring the best for our clients. #LI-CC2 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $140,000 - $170,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.

• Build, validate, and ship predictive models that drive the business: churn prediction, LTV forecasting, propensity and uplift modelling, and recommendation • Own end-to-end ML workflows: feature engineering, model development, evaluation, deployment, and monitoring • Monitor models in production and retrain or adjust them as the product and user base evolve • Explore where AI/ML creates real product value as the company expands into AI-powered products • Design and analyse experiments (A/B tests, uplift, causal inference), bringing rigour to how we measure impact and reduce variance • Help shape the experimentation framework and modelling standards as foundations for the wider team • Handle user-level data responsibly: privacy-aware feature engineering, avoiding leakage of sensitive attributes, and compliance with data-use policies • Partner with Data Engineers to productionise models with reliable feature pipelines and, where useful, a feature store • Translate model output into clear, actionable recommendations for Product, Growth, and leadership — tying work back to company goals

• Designs and develops scalable solutions using AI tools and machine-learning models. • Performs research and testing to develop machine learning algorithms and predictive models. • Utilizes big data computation and storage tools to create prototypes and datasets. • Conducts model training and evaluation. • Integrates, tests, tunes, and monitors solutions. • Participates in model brainstorming conversations with new potential internal customers interested in AI/ML capabilities. • Works alongside internal customers that are requesting AI/ML capabilities to understand overall business objective & impact. • Analyzes use cases of ML algorithms and apply findings to enable business decisions. • Writing moderately complex SQL and Python/R code to extract data from various databases and data sources. • Explores and visualizes data to gain an understanding and verify data quality. • Conduct exploratory data analysis from complex data sources and build key data sets to support operational analysis. • Builds ML/AI models using common methods within R and Python. • Analyzes ML algorithms that could solve a problem and ranks them by success probability. • Analyzes errors of the model and designs strategies to overcome them. • Develop logging, alerting, and mitigation strategies for handling model errors. • Develop AI/ML models to distinguish relevant content or events and recognize patterns. • Designs and develops AI/ML models to predict member outcomes. • Evaluate and design experiments to monitor key model metrics and identify improvement opportunities. • Participate in presentations and communicate research analysis results to non-technical business partners. • Produces fairness review for each model to ensure it's free of bias. • Set up CI/CD pipelines used for model automation. • Model deployment with containers such as Kubernetes and Docker. • Produces clean & readable code that has been properly unit tested and optimized.