Experienced Full Stack Data Analyst and Entry-Level Data Entry Specialist for blithequark – Remote Work Opportunity with Competitive Salary and Benefits

Introduction to blithequark and Our Team blithequark is a world-renowned entertainment and media conglomerate that has been enchanting audiences for generations. Our Direct-to-Consumer (DTC) Information Science group is at the forefront of driving business growth through data-driven insights and analysis. As a key member of our team, you will have the opportunity to work with a talented group of data scientists, engineers, and analysts to develop and implement data-driven solutions that impact the experiences of millions of customers worldwide. Job Overview and Responsibilities In this exciting role, you will work collaboratively with cross-functional teams to solve complex business problems using data science and machine learning. Your primary responsibilities will include: Building and maintaining data pipelines to collect, clean, and prepare data for machine learning models Developing and evaluating machine learning models to extract insights from data, make predictions, and generate recommendations Working with natural language processing algorithms to process and extract information from text-based data Building dashboards and visualizations to communicate findings to technical and non-technical audiences Collaborating with data engineers, data analysts, and key stakeholders to integrate data science solutions into the business Staying up-to-date with industry trends and emerging technologies in data science and machine learning Key Responsibilities for Data Analyst Role As a data analyst, you will be responsible for: Extracting insights from large datasets using statistical techniques and machine learning algorithms Developing and maintaining data visualizations and dashboards to communicate findings to stakeholders Collaborating with cross-functional teams to integrate data science solutions into the business Staying up-to-date with industry trends and emerging technologies in data science and machine learning Key Responsibilities for Data Entry Specialist Role As a data entry specialist, you will be responsible for: Accurately and efficiently entering data into our systems Verifying data for accuracy and completeness Collaborating with data analysts and engineers to ensure data quality and integrity Staying up-to-date with industry trends and emerging technologies in data entry and management Essential Qualifications and Skills To be successful in this role, you will need: A Bachelor's degree in a quantitative field, such as Computer Science, Engineering, Mathematics, Statistics, Operations Research, or Econometrics At least 2 years of related experience with conducting statistical analysis and developing machine learning models using Python A deep understanding of machine learning concepts and statistical techniques The ability to draw insights and conclusions from data to inform model development and business decisions A willingness to collaborate with other data scientists, data engineers, and key stakeholders Experience with machine learning frameworks like Scikit-Learn, and data processing libraries like Pandas or similar Understanding of SQL and distributed data technologies Knowledge of data analysis and data visualization tools like Streamlit, Tableau, Looker, and so on Preferred Qualifications and Skills While not required, the following qualifications and skills are highly desirable: A Master's or Ph.D. in Computer Science, Engineering, Statistics, Economics, Physics, or a related quantitative field Ability to write article-quality Python code and experience with deploying and maintaining pipelines using Airflow, Docker, Luigi, and so on Understanding of the latest in natural language processing techniques, text embedding models, and knowledge of Generative AI and Large Language Models Experience fully integrating data science solutions into the business and operationalizing machine learning models Career Growth Opportunities and Learning Benefits At blithequark, we are committed to helping our employees grow and develop their careers. As a member of our team, you will have access to: Professional development opportunities, including training and mentorship programs Cross-functional collaboration and networking opportunities Access to cutting-edge technologies and tools A dynamic and supportive work environment that encourages innovation and creativity Work Environment and Company Culture Our company culture is built on a foundation of innovation, creativity, and collaboration. We believe in fostering a work environment that is inclusive, supportive, and fun. As a remote worker, you will be part of a distributed team that values flexibility, autonomy, and open communication. Compensation, Perks, and Benefits We offer a competitive salary and benefits package, including: A hourly rate of $26 per hour Comprehensive health insurance and wellness programs Retirement savings plans and employee stock purchase programs Generous paid time off and holiday schedules Access to exclusive blithequark perks and discounts Why Join blithequark? At blithequark, we are passionate about creating innovative and engaging experiences for our customers. As a member of our team, you will have the opportunity to work on complex and impactful projects, collaborate with talented professionals, and contribute to the success of our company. We offer a dynamic and supportive work environment that encourages innovation and creativity, and we are committed to helping our employees grow and develop their careers. Conclusion and Call to Action If you are a motivated and talented data analyst or data entry specialist looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity. As a member of our team, you will have the chance to work on complex and impactful projects, collaborate with talented professionals, and contribute to the success of blithequark. Don't miss out on this opportunity to grow your career and be part of a dynamic and innovative team. !