Experienced Lead Data Scientist for Remote Data Entry and Ads Data Solutions Research at blithequark – Unlocking Insights with Advanced Data Modeling and Analysis

Introduction to blithequark and the Role At blithequark, we are passionate about harnessing the power of data to drive decision-making and empower our teams across various departments, including content, marketing, product, and engineering. As a leader in the industry, blithequark is committed to delivering exceptional experiences to our customers worldwide. We are now seeking an experienced Lead Data Scientist to join our Ads Data Solutions Research team, where you will play a pivotal role in developing and implementing advanced data models, conducting statistical analysis, and creating visualizations to drive business growth and optimization. Job Summary As a Lead Data Scientist at blithequark, you will be responsible for partnering with cross-functional teams, including Sales Analytics, Finance, Business Operations, Commerce Product, and Engineering, to tackle complex challenges and drive business outcomes. Your expertise in data modeling, statistical analysis, and data visualization will be essential in developing scalable and continuous solutions that inform decision-making and drive impact. If you have a passion for data science, a strong analytical mindset, and a proven track record of driving effect, we encourage you to apply for this exciting opportunity. Key Responsibilities Design, build, and enhance systems by developing and deploying machine learning models, working end-to-end from data collection to feature engineering, algorithm development, forecasting, visualization, and communication of model results. Collaborate with engineering teams to produce models and drive experimentation to test the effect of model-based optimization. Develop comprehensive insights on audience, brand, and ad operational data systems and metrics, mining large datasets 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 practical machine 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 expertise with Python and libraries such as sci-kit-learn, SciPy. Familiarity with Bayesian modeling and probabilistic programming applications such as PyMC. Familiarity with data structures and systems such as Databricks, Jupyter, Snowflake, Airflow, Github. Familiarity with data exploration and data visualization tools such as Tableau, Looker. Familiarity with designing and interpreting 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 and Learning Benefits At blithequark, we are committed to the growth and development of our employees. As a Lead Data Scientist, you will have access to a wide range of training and development opportunities, including workshops, conferences, and online courses. You will also have the chance to work with a talented team of data scientists and engineers, sharing knowledge and best practices to drive innovation and excellence. Work Environment and Company Culture blithequark is a dynamic and innovative company that values creativity, collaboration, and diversity. Our work environment is fast-paced and exciting, with a focus on delivering exceptional results and driving business growth. We offer a range of perks and benefits, including flexible working hours, remote work options, and a comprehensive compensation package. If you are looking for a challenging and rewarding role with a company that values its employees, we encourage you to apply. Compensation and Benefits blithequark offers a competitive compensation package, including a salary range of $25-45 per hour, depending on experience. We also offer a range of benefits, including health insurance, retirement savings, and paid time off. Our goal is to provide a comprehensive and supportive environment that allows our employees to thrive and grow. Conclusion If you are a motivated and experienced data scientist looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity at blithequark. As a Lead Data Scientist, you will have the chance to work with a talented team, drive business growth, and develop your skills and expertise in a dynamic and innovative environment. Don't miss out on this opportunity to join a leading company and take your career to the next level. Apply now to become a part of the blithequark team and unlock the power of data to drive business success. Apply for this job