Experienced Lead Data Scientist for Ads Data Solutions Research – Remote Work Opportunity with Competitive Hourly Rate at blithequark

Introduction to blithequark and the Role

At blithequark, we are passionate about harnessing the power of data to drive business decisions and create exceptional customer experiences. As a leader in the entertainment industry, blithequark is committed to innovation and excellence, and our data science team plays a critical role in achieving these goals. We are seeking an experienced Lead Data Scientist to join our Ads Data Solutions Research team, where you will have the opportunity to work on complex and challenging projects, collaborate with cross-functional teams, and drive business impact through data-driven insights.

Job Responsibilities

As a Lead Data Scientist at blithequark, you will be responsible for leading the development of models and solutions to tackle a range of exciting challenges, including revenue, inventory, delivery, outcome, pricing of marketing and marketing, client lifetime value estimation, forecasting, fraud prevention and mitigation, and more. Your key responsibilities will include:

• Designing, building, and enhancing systems by learning models, working end-to-end from data collection, feature generation and selection, algorithm development, forecasting, visualization, and communication of model results
• Collaborating with engineering to produce models and driving experimentation to test the effect of the model based on total optimization
• Developing comprehensive knowledge of audience, brand, and ad operational data systems and metrics, and mining large data sets to identify opportunities for driving marketing revenue, viewer ad experience, and subscriber growth and retention
• Developing prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually
• Partnering 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

To be successful in this role, you will need to have:

• A 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

While not required, the following qualifications are highly desirable:

• A 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 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

Skills and Competencies

To succeed in this role, you will need to possess a range of skills and competencies, including:

• Strong analytical and problem-solving skills, with the ability to think critically and creatively
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Strong technical skills, including proficiency in programming languages such as Python, Spark, and SQL
• Ability to work in a fast-paced environment, with shifting priorities and tight deadlines
• Strong leadership and management skills, with the ability to motivate and direct teams

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 access to a range of career growth opportunities and learning benefits, including:

• Professional development programs, including training and mentorship opportunities
• Opportunities for advancement, including leadership and management roles
• Access to cutting-edge technologies and tools, including data science and machine learning platforms
• Collaboration with cross-functional teams, including engineering, product, and marketing
• Opportunities to work on high-impact projects, with the potential to drive significant business impact

Work Environment and Company Culture

At blithequark, we are proud of our dynamic and inclusive work environment, which values diversity, creativity, and innovation. As a Lead Data Scientist, you will be part of a talented and motivated team, with a culture that encourages collaboration, experimentation, and continuous learning. Our company culture is built on a set of core values, including:

• A passion for innovation and excellence
• A commitment to diversity, equity, and inclusion
• A focus on collaboration and teamwork
• A culture of continuous learning and growth
• A dedication to driving business impact and results

Compensation, Perks, and Benefits

At blithequark, we offer a competitive compensation package, including a hourly rate of $25-45 per hour, depending on experience. In addition to competitive pay, we offer a range of perks and benefits, including:

• Comprehensive health and wellness programs, including medical, dental, and vision coverage
• Retirement savings plans, including 401(k) matching
• Paid time off, including vacation, sick leave, and holidays
• Opportunities for professional development and growth
• Access to cutting-edge technologies and tools
• A dynamic and inclusive work environment, with a culture that values diversity, creativity, and innovation

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 on complex and high-impact projects, collaborate with cross-functional teams, and drive business impact through data-driven insights. With a competitive compensation package, comprehensive benefits, and a dynamic and inclusive work environment, this is an opportunity not to be missed. Apply now to join our team and take your career to the next level!