Responsibilities Build rules, algorithms, and machine learning models to identify and extract valuable business insights and information from raw data and data sources. Analyze large amounts of information to discover trends and patterns in data through probability and statistical analysis and automate the collection processes. Build predictive models and machine-learning algorithms. Design and monitor core metrics and perform analysis to explain key drivers to inform decision-making. Present information using data visualization techniques. Develop classification and regression algorithms using machine learning techniques. Propose solutions and strategies to business challenges. Collaborate with cross-functional teams to optimize overall project goals. Qualification Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Business Analytics, Statistics, Mathematics, or a related quantitative field, and 1 year of related work experience, or a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Business Analytics, Statistics, Mathematics, or a related quantitative field, and 3 years of related work experience. Of the required experience, must have 1 year of experience in each of the following: Performing data analysis, data ingestion or data integration; Using SQL queries and data visualization tools to gather, process, visualize, and analyze large quantities of data to detect trends and anomalies in support of business opportunity identification; Cleaning and processing data using relational databases or Hadoop Systems; Identifying business problems and proposing growth opportunities with data-driven insights; Designing and maintaining dashboards using visualization tools to visualize key data and insights, track key performance indicators, and provide self-service tools to stakeholders; and Developing and maintaining tables, views, indexes, datasets, or data pipelines to extract, clean, transform, load and maintain data across multiple databases. Travel Requirement: International travel required up to 5%. Type: Full time, 40 hours/week Location: New York, NY Salary Range: $144414 - $216000 per year To Apply, click the apply button below. Contact [redacted] if you have difficulty submitting resume through the website. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $144414 - $216000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment.