Experienced Data Scientist for Streaming Services – Part Time/Remote Opportunity at blithequark

Introduction to blithequark At blithequark, we are revolutionizing the way people consume entertainment and sports content through our web-based features. As a leader in direct-to-consumer video services, we are committed to delivering high-quality content to global audiences across any connected device, time, or location. Our mission is to bring the world's most beloved characters, timeless stories, legendary athletes, and epic games to global audiences through exceptional direct-to-consumer video services. About the Role We are seeking an experienced Data Scientist to join our team at blithequark. As a Data Scientist, you will be responsible for analyzing complex data sets to gain insights into customer behavior, preferences, and retention. You will work closely with cross-functional teams to develop and implement AI and statistical models that drive business decisions and inform product development. If you are passionate about working with data, building models, and making recommendations to drive business growth, then this is an exciting opportunity for you. Key Responsibilities Support the streaming business with AI and statistical modeling focused on understanding and predicting subscriber behavior, such as churn, upgrade/downgrade, price responsiveness, customer segmentation, survival analysis, experiment design and analysis, and causal inference. Develop and implement innovative AI strategies to address key business questions while identifying new areas to explore. Drive experimentation to evaluate the impact of your models and make data-driven recommendations to senior leaders. Collaborate closely with colleagues across the organization to identify and unlock opportunities, and work with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture. Present your findings and recommendations to senior leaders and stakeholders. Essential Qualifications Bachelor's or Graduate degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics. 3+ years of experience designing, building, and evaluating practical AI solutions. Strong coding experience in (at least one) data programming languages like Python/R, with additional experience in scientific libraries like Numpy, Pandas, or equivalent libraries a plus. Proficient in analyzing data and building ML models using Python (with ML frameworks like TensorFlow, scikit-learn, etc.). Strong background in statistical modeling: regression, classification, time series forecasting, causal inference, and other methods. Experience building scalable numerical models and solving complex quantitative problems that can be understood by non-technical stakeholders. Ability to make insights and recommendations from data to inform model development and business decisions. Willingness to collaborate with other data scientists, data analysts, and key stakeholders. Good understanding of SQL. Preferred Qualifications Postgraduate degree in a quantitative field. Excellent analytical skills, advanced level of statistical knowledge. Proven ability to choose the right statistical tools given a data analysis problem. Ability to adapt quickly in a fast-paced environment with changing needs. Strong communication skills, for both technical and non-technical audiences. Ability to prioritize multiple tasks simultaneously and meet deadlines. Experience with data platforms and applications like Databricks, Jupyter, Snowflake, Airflow, Github. Experience with designing and analyzing A/B testing and other experiment types. Experience thinking strategically to interpret market and consumer data, ideally about a subscription service. Experience with distributed data technologies (Hive, Spark). Experience with NLP and NN models. Skills and Competencies To be successful in this role, you will need to possess strong technical skills, including proficiency in programming languages like Python and R, as well as experience with machine learning frameworks and statistical modeling. You will also need to have excellent analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders. Additionally, you will need to be able to work collaboratively with cross-functional teams, prioritize multiple tasks simultaneously, and adapt quickly to changing needs. Career Growth Opportunities and Learning Benefits At blithequark, we are committed to helping our employees grow and develop in their careers. As a Data Scientist, you will have the opportunity to work on complex and challenging projects, collaborate with experienced professionals, and develop new skills and expertise. You will also have access to training and development programs, mentorship opportunities, and a supportive and collaborative work environment. Work Environment and Company Culture At blithequark, we value innovation, creativity, and collaboration. Our work environment is fast-paced and dynamic, with a focus on delivering high-quality products and services to our customers. We believe in fostering a culture of inclusivity, diversity, and respect, and we are committed to creating a workplace where everyone feels valued and supported. As a Data Scientist, you will be part of a talented and dedicated team, and you will have the opportunity to contribute to the development of our products and services. Compensation, Perks, and Benefits We offer a competitive salary and benefits package, including a hourly rate of $25/hour, as well as opportunities for professional growth and development. You will also have access to a range of perks and benefits, including flexible working hours, remote work options, and a supportive and collaborative work environment. Conclusion If you are a motivated and experienced Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity at blithequark. As a leader in direct-to-consumer video services, we are committed to delivering high-quality content to global audiences, and we believe that our team has the talent, expertise, and passion to make a real difference in the industry. Don't miss out on this opportunity to join our team and contribute to the development of our products and services. Apply now to become a part of our dynamic and innovative team! Apply for this job