Experienced Lead Data Scientist for Remote Data Entry and Analysis – Advanced Data Modeling and Insights Generation for Business Growth

Introduction to blithequark At blithequark, we are passionate about harnessing the power of data to drive business growth, improve customer experiences, and shape the future of entertainment. As a leader in the industry, we are committed to innovation, creativity, and excellence in everything we do. Our team of talented data scientists plays a critical role in empowering decision-makers with insights, predictions, and information that impact the stories of hundreds of thousands of customers worldwide. Job Overview We are seeking an experienced Lead Data Scientist to join our Ads Data Solution Research team. As a key member of our team, you will partner closely with cross-functional business partners, including Sales Analytics, Finance, Business Operations, Commerce Product, and Engineering groups, to develop models that tackle a range of exciting challenges. These challenges include revenue, inventory, delivery, outcome, pricing of marketing and marketing, client lifetime value estimation, forecasting, fraud prevention, and mitigation, among others. Key Responsibilities Design, build, and enhance systems by learning models, working end-to-end from data collection, feature generation, and selection, algorithm development, forecasting, visualization, and communication of model results. Collaborate with engineering to produce models and drive experimentation to test the effect of model-based total optimization. Develop comprehensive knowledge of audience, brand, and ad operational data systems and metrics, mining large data sets to identify opportunities for driving marketing revenue, viewer ad experience, and subscriber growth and retention. Develop prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually. Partner closely with business stakeholders to identify and unlock opportunities and with other data teams to enhance platform capabilities around data modeling, data visualization, experimentation, and data architecture. Essential Qualifications Master's degree in a quantitative field (e.g., Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics). 7+ years of experience designing, building, and comparing realistic systems learning solutions. 7+ years of experience with statistical programming languages (e.g., Python, Spark, PySpark) and database languages (e.g., SQL). Preferred Qualifications Doctorate's degree in a quantitative discipline. Excellent analytical skills, advanced level of data knowledge. Strong knowledge of Python and libraries, including sci-kit-learn, SciPy. Familiarity with Bayesian modeling and probabilistic programming applications, such as PyMC. Familiarity with data structures and systems, including Databricks, Jupyter, Snowflake, Airflow, Github. Familiarity with data exploration and data visualization tools, including Tableau, Looker. Familiarity with designing and reading A/B testing and other test types. Demonstrated skills in choosing the right statistical tools given a data analysis problem. Ability to adapt quickly in fast-moving environments with shifting priorities. Strong communication skills, for both technical and non-technical audiences. Ability to handle multiple responsibilities simultaneously and in a timely manner, including large and complex ones. Demonstrated leadership experience, including people and project management. Career Growth Opportunities and Learning Benefits At blithequark, we are committed to the growth and development of our employees. As a Lead Data Scientist, you will have the opportunity to work on complex and challenging projects, collaborating with cross-functional teams to drive business growth and improve customer experiences. You will also have access to training and development programs, including workshops, conferences, and online courses, to help you stay up-to-date with the latest technologies and trends in data science. Work Environment and Company Culture Our work environment is dynamic, collaborative, and fast-paced. We value innovation, creativity, and excellence, and we are committed to creating a workplace culture that is inclusive, diverse, and supportive. Our employees are passionate about their work, and we are dedicated to providing them with the resources and opportunities they need to succeed. Compensation, Perks, and Benefits We offer a competitive salary range of $25-45 per hour, depending on experience. Our benefits package includes comprehensive health insurance, retirement savings plans, and paid time off. We also offer a range of perks, including flexible working hours, remote work options, and access to the latest technologies and tools. Conclusion If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Lead Data Scientist at blithequark, you will have the chance to work on complex and challenging projects, collaborate with cross-functional teams, and drive business growth and improve customer experiences. Don't miss out on this opportunity to join our team and take your career to the next level. Apply now to become a part of our dynamic and innovative team! Apply for this job