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

Introduction to blithequark

At blithequark, we are passionate about creating and delivering exceptional direct-to-consumer video services worldwide. Our mission is to provide global audiences with the freedom to access content based on their preferences across any connected device, time, or location. We serve consumers by bringing the world's most beloved characters, timeless stories, legendary athletes, and epic games to global audiences through unparalleled direct-to-consumer video services.

About the Data Science Team

The Data Science team at blithequark combines deep data analysis and research of our rich customer data to present a compelling vision around customer retention and preferences across the vast landscape of our product offerings and content. As Data Scientists, we use data to empower decision-makers with insights, predictions, and knowledge that ultimately impact the experiences of millions of customers worldwide. If you are someone who loves to work cross-functionally, build models, perform statistical analysis, and make observations to provide agile and iterative capabilities, then this is an incredible opportunity for you.

Job Responsibilities

As a Data Scientist at blithequark, you will be responsible for supporting 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. Your key responsibilities will include:

• Developing and implementing innovative AI strategies to address key business questions while identifying new areas to explore
• Driving experimentation to evaluate the impact of your models
• Collaborating closely with colleagues across the organization to identify and unlock opportunities
• Working with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture
• Presenting your recommendations to senior executives

Essential Qualifications

To be successful in this role, you will need:

• A 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
• Proficiency 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 conclusions from data to inform model development and business decisions
• Desire to collaborate with other data scientists, data analysts, and key stakeholders
• Good understanding of SQL

Preferred Qualifications

While not required, the following qualifications are preferred:

• Postgraduate degree in a quantitative field
• Excellent analytical skills, high 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

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, and opportunities for advancement within the company.

Work Environment and Company Culture

At blithequark, we value innovation, creativity, and collaboration. Our work environment is dynamic and fast-paced, with a focus on delivering exceptional results and exceeding customer expectations. We believe in fostering a culture of inclusivity, diversity, and respect, where everyone feels valued and empowered to contribute their best work.

Compensation, Perks, and Benefits

We offer a competitive salary and benefits package, including:

• Hourly rate: $25/hour
• Part-time schedule: 8 hours per day
• Remote work opportunities
• Comprehensive benefits package, including health insurance, retirement savings, and paid time off
• Opportunities for professional development and growth
• Access to cutting-edge technologies and tools
• Collaborative and dynamic 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. With our commitment to innovation, customer satisfaction, and employee growth, we believe that you will find a rewarding and fulfilling career with our company. Don't miss out on this chance to join our team and contribute to the success of our streaming services. Apply now and take the first step towards an exciting and rewarding career at blithequark.