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You'll be part of a high context, cross-functional team, where we value learning quickly to build a modern education system for hundreds of millions of teachers, children and families. You'll pursue a variety of problems ranging from understanding our users, to ensuring we invest in the right growth strategies in each of the 180+ countries we operate it, to growing our community, to empowering teams to find their own answers. You'll work with colleagues across the business to uncover insights, design experiments and measure the impact, and ultimately help influence decision-making across the entire company. What You'll Do Partner with product managers, engineers, marketers, designers, and operators to define product strategy and direction. Identify opportunities for growth by designing and analyzing product experiments, working with cross-functional teams to translate insights into action. Develop analytical frameworks to monitor business and product performance, including growth and engagement. Empower teammates with the skills and tools to make data-driven decisions. Relevant Skills / Experience 3+ years of industry experience in a data science or analytics role Ability to write structured and efficient SQL queries on large data sets. Experience with data pipelines: transforming raw production and external data into user-friendly tables. Experience designing AB/multivariate tests and drawing actionable conclusions. Experience in programming, especially with data science libraries in Python or R Ability to visualize and communicate insights to stakeholders. A bachelor's degree in Engineering or a related field such as Computer Science or Chemical Engineering If you are up for it, apply today! Best Regards, Kris Kris Young Account Manager BHO Tech San Jose, San Francisco CA Phone: 866 816-1615 x 823 kris@bhotech.com www.bhotech.com

In this role, you’ll build and implement novel machine learning and deep learning algorithms to combat fraud and help scale the risk we take on. Responsibilities Understand the fraud and risk processes inherent in our product and how to minimize the same. Creatively leverage new and existing data to increase the effectiveness and efficiency of our decision-making infrastructure Work with engineers to design machine learning solutions that operate quickly and effectively at scale Partner with operatives to quickly respond to rapidly evolving threats Make business recommendations to the executive and cross-functional teams (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information Requirements 4+ years industry experience developing machine learning models at scale from inception to business impact. Leadership opportunities also available Risk, fraud detection experience preferred but not a requirement. You've earned a: (a) Ph.D. in Machine Learning, Statistics, Optimization, Physics, or related field, with experience building production-ready ML models and systems; or (b) MS in CS or related field with 3+ years of experience in implementing and deploying large scale ML solutions Deep understanding of and experience of modern machine learning techniques such as classification, recommendation systems, and other shallow learning techniques, data analytics, and statistical models Deep experience with ML/DL toolkits: Tensorflow, scikit-learn, XGBoost, Numpy, Scipy, Pytorch. SparkML. Strong programming skills - Python preferred. And intermediate to advanced knowledge of SQL and ability to wrangle data from many disparate data sources Experience developing and deploying machine learning and/or deep learning solutions into a production environment Ability to build tools to monitor the performance of models in production and ability to differentiate the The versatility to communicate clearly with both technical and non-technical audience Demonstrated leadership and self-direction and willingness to both teach others and learn new techniques Deep learning experience preferred but not a requirement Technologies we use: MySQL, R, PHP, Python, AWS, Snowflake, and Looker, among many others. If you are up for it, apply today! Best Regards, Kris Kris Young Account Manager BHO Tech San Jose, San Francisco CA Phone: 866 816-1615 x 823 kris@bhotech.com www.bhotech.com

As a Data Scientist you will be responsible for developing and maintaining statistical models that allow us to analyze, mine and ultimately turn that data into insights that will help app developers and Fortune 500 enterprises grow their user base and revenue. Requirements Master's degree or above in mathematics, statistics, or computer science 2+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries A passion for data analysis and presentation of data insights Ability to communicate effectively with technical developers and non-technical marketing business partners Programming experience (R, Python, Ruby) Experience implementing machine learning algorithms Good working knowledge of MongoDB or similar DB technologies Knowledge of statistical analysis toolsets (SAS, R, MATLAB) and techniques Strong proficiency with one or more statistical visualization or graphing toolkits (MS Excel, a Javascript framework like Highcharts or Tableau) If you are up for it, apply today! Best Regards, Kris Kris Young Account Manager BHO Tech San Jose, San Francisco CA Phone: 866 816-1615 x 823 kris@bhotech.com www.bhotech.com

We are looking for people with a background in manipulating and analyzing complex data sets, reporting results and communicating effectively with internal stakeholders from a variety of backgrounds, roles, and needs. You should be technically inclined or interested in learning new technologies and tools. We encourage growth either in more technical business and product analytics as well as tangential fields like risk and data engineering. Responsibilities Clean, manipulate and analyze large, complex data sets, spanning a wide variety of sources. Meet the analytical needs of teams such as operations, marketing, finance, accounting and product. Drive the direction of the company through a mix of meticulous research and creativity. Research and recommend actionable solutions to nebulous business problems based on often unclean data. Generate and maintain reports and dashboards for internal and external consumers. Alongside business stakeholders and engineers, reconcile crucial data integrity issues. Communicate analysis results with effective storytelling. Inform our other data science and data engineering teams of broader business needs. What We Value Experience with SQL to pull, join and explore data generated by many disparate sources. Strong communication skills and have worked with different business functions. Experience taking difficult analyses across the finish line independently. Ability to relentlessly chase down data integrity issues to their root cause. Comfort in tackling very broad data domains Focus on constantly improving your analytical and technical skill-set by working on difficult analyses. Thriving in a collaborative environment, filled with a diverse group of people with different expertise and backgrounds (we currently have over 15 nationalities represented, with more than ½ the company working in a country different from the one they grew up in). If you are up for it, apply today! Best Regards, Kris Kris Young Account Manager BHO Tech San Jose, San Francisco CA Phone: 866 816-1615 x 823 kris@bhotech.com www.bhotech.com