Data Science Analyst at Tatari in New York, NY

Summary: Tatari is on a mission to revolutionize TV advertising, employing AI and machine learning to transform traditional methods. The Data Science Analyst will work with diverse data sets to build automated solutions and provide insights that optimize business performance. Responsibilities: - Automate data-driven tasks; design processes that require zero intervention - Work cross-functionally within the organization to deliver integrated business solutions - Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance - Use best-in-class tools like Databricks, and Tableau to empower insightful analysis for advertising partners Required Qualifications: - Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required - 1-2 years of academic and/or professional experience in Data Manipulation Software (e.g., SQL, Python, Pandas) - Demonstrated abilities to manipulate, analyze, and interpret large amounts of data and to organize findings and translate them into actionable insights using original or innovative techniques - Extremely organized with great attention to detail - Excellent ability to analyze information and think systematically - Works well independently and as part of a team - Ability to handle databases and understand technology-driven business tools - A sense of curiosity and desire to learn! Required Skills: Data Manipulation Software, Python, SQL Important Skills: Pandas, Databricks, Tableau Nice-to-Have Skills: Curiosity, Attention to detail, Teamwork Benefits: Equity compensation, Health insurance coverage for you and your dependents, 401K, FSA, and commuter benefits, $150 monthly spending account, $1,000 annual continued education benefit, $500 Newbie Productivity Perk, Unlimited PTO and sick days, Monthly Company Wellness Day Off, Snacks, drinks, and catered lunches at the office, Team building events, Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION