Senior Manager, Commercial Analytics & Data Science

Our client, a leading audio entertainment company, is hiring a Senior Manager on a contract basis. Job ID: 83716 Work Location: Washington D.C (Remote Working Model) Summary: This is the place where a diverse group of emerging talents and legends alike come to share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically acclaimed, industry-leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. No matter their individual role, each of our employees plays a vital part in bringing the client's vision to life every day. How you'll make an impact: • You will offer recommendations to improve conversion performance by translating analytical insights and A/B experimentation results into optimal business tactics combining key knowledge of business analytics, statistics and marketing. • You will help optimize marketing spend and conversion predictive power by building and enhancing machine learning models Responsibilities: • Build advanced machine learning models to inform marketing tactics (examples: adaptive clustering, reinforcement learning, regression modeling, price elasticity modeling etc.) • Execute sophisticated quantitative analyses and descriptive modeling to answer key business questions to shape business strategy. • Use enhanced python based graphical visualizations to deliver key insights to leadership. • Research and implement novel modeling techniques to solve complex business problems. • Develop analytics databases & lead development and maintenance of automated dashboards for AB experiment results. • Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering or to perform analysis of business questions. • Measure incrementality of paid media campaigns using matched market testing. Required Qualifications: • Bachelor's or Master's degree in data science, computer science, statistics, engineering, or related quantitative field. • Strong prior experience in data science, business & statistical analytics. • 7+ years of experience in related field. • Strong background in SQL & Python, R is a plus. • Experience in machine learning algorithms & libraries. Examples: CausalML/EconML, TensorFlow, PyTorch, Keras, sk-learn, seaborn, LSTM, RNN. • Experience in visualization tools. Examples: Databrick AI/BI, Rshiny, Dash, Tableau. • Familiarity with Databricks platform is a plus. • Willingness to take initiative and to follow through on projects. • Excellent time management skills with the ability to prioritize and multi-task, and work under shifting deadlines in a fast-paced environment. • Must have legal right to work in the U.S. The goal of the client is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. The client is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws. The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice. Pay Rate: $90- $115/hour W2