**Experienced Full Stack Data Scientist – Machine Learning and Video Planning at blithequark**

Are you passionate about working at the forefront of cutting-edge machine learning and video planning innovations? Do you have a knack for creating data pipelines and a keen eye for detail? As a key member of our Video Planning team at blithequark, you'll play a vital role in driving the development of our machine learning models and ensuring the highest quality of video content for our users worldwide. If you're a highly organized and meticulous individual with a passion for data analysis and machine learning, we want to hear from you! **About blithequark** blithequark is a leading innovator in the technology industry, pushing the boundaries of what's possible with machine learning and video planning. Our team of experts is dedicated to creating cutting-edge solutions that make a real impact on people's lives. We're passionate about collaboration, innovation, and excellence, and we're looking for like-minded individuals to join our team. **Job Summary** As a Full Stack Data Scientist at blithequark, you'll work closely with our Video Planning team to design, develop, and deploy machine learning models that drive business growth and user engagement. You'll be responsible for: * Developing and implementing data pipelines to support machine learning model development * Collaborating with cross-functional teams to identify business needs and develop data-driven solutions * Analyzing large datasets to identify trends and insights that inform business decisions * Creating and presenting data visualizations to stakeholders to communicate findings and recommendations * Evaluating the performance of machine learning models and identifying areas for improvement * Developing and maintaining mathematical models to project results and inform business decisions **Key Responsibilities** The following are the key responsibilities of this position: * Execute computation appraisal strategies to drive business growth and user engagement * Conduct significant dive frustration assessment and model mining to identify trends and insights * Encourage interpretation procedures for machine learning models to inform business decisions * Produce/present huge data pieces of information with discernments to higher-ups and across various involved gatherings * Including all around quantifiable assessment and gigantic data examination to drive critical encounters for clients * Evaluate possible components considering client necessities to make informed decisions for inside overhauls * Give quantitative examination of authentic examples and certified client data to sort out current model and estimation execution * Make mathematical models to project results and enlighten crucial, business decisions * Get and examine certified client analysis on conveyed things to help future thing improvement and guide **Guidance and Experience** To be successful in this role, you'll need: * A Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field * Work experience in programming or related fields * Strong knowledge of machine learning algorithms and techniques * Experience with data analysis and visualization tools such as Python, R, or SQL * Excellent communication and presentation skills * Ability to work collaboratively with cross-functional teams * Strong problem-solving skills and attention to detail **Skills and Competencies** To succeed in this role, you'll need to possess the following skills and competencies: * Strong programming skills in languages such as Python, R, or SQL * Experience with machine learning frameworks such as TensorFlow or PyTorch * Knowledge of data visualization tools such as Tableau or Power BI * Excellent communication and presentation skills * Ability to work collaboratively with cross-functional teams * Strong problem-solving skills and attention to detail * Ability to analyze large datasets and identify trends and insights * Experience with data pipelines and data warehousing **Career Growth Opportunities and Learning Benefits** At blithequark, we're committed to helping our employees grow and develop their careers. We offer a range of training and development programs, including: * Ongoing training and development opportunities * Mentorship programs to support career growth * Opportunities to work on high-impact projects and contribute to business growth * Collaborative and dynamic work environment * Recognition and rewards for outstanding performance **Work Environment and Company Culture** We're proud of our company culture at blithequark, which is built on the following values: * Collaboration and teamwork * Innovation and creativity * Excellence and quality * Customer focus and satisfaction * Continuous learning and development Our work environment is dynamic and fast-paced, with a focus on collaboration and teamwork. We're committed to creating a workplace that's inclusive, diverse, and supportive of all employees. **Compensation, Perks, and Benefits** We offer a competitive compensation package, including: * Salary: $27/hour * Benefits package, including health insurance, retirement plan, and paid time off * Opportunities for professional development and career growth * Collaborative and dynamic work environment * Recognition and rewards for outstanding performance If you're a highly motivated and organized individual with a passion for machine learning and data analysis, we want to hear from you! Apply now to join our team at blithequark and be a part of shaping the future of technology. Apply for this job