Experienced Lead Data Scientist for Advanced Retail Solutions – Remote Work Opportunity in the United States

Introduction to blithequark At blithequark, we are revolutionizing the retail industry with cutting-edge data science solutions. As a leader in the private sector, we are committed to harnessing the power of mathematical and statistical ideas to drive business growth and innovation. Our team of expert data scientists is dedicated to developing long-term forecasting algorithms that solve complex retail problems, and we are now seeking an experienced Lead Data Scientist to join our ranks. Job Overview As a Lead Data Scientist at blithequark, you will play a crucial role in transforming retail operations by automating manual processes and leveraging data-driven insights to inform business decisions. Your expertise in machine learning, statistical modeling, and data analysis will be essential in developing innovative solutions that drive business value. You will work closely with our global AI teams, scientists, engineers, and business partners to identify new opportunities and lead the implementation of large-scale data science projects. Key Responsibilities Lead the development and implementation of mathematical and statistical models to create long-term forecasting algorithms that solve retail problems Automate manual processes and improve operational efficiency using machine learning and statistical models Collect, organize, analyze, interpret, and summarize large datasets to generate key insights and inform business decisions Perform data exploration tasks, extract insights, and create storyboards from data analysis Present clear and accurate root-cause analysis to stakeholders and leadership Build training workflows for machine learning algorithms on large datasets and create algorithmic solutions using data science techniques Lead and develop large-scale implementations of machine learning models and algorithmic solutions using rich retail data sources Review model performance and identify opportunities for improvement Collaborate with global AI teams, scientists, engineers, and business partners to identify new opportunities and lead data science projects Requirements To be successful in this role, you will need to have a strong educational background in a quantitative field, such as mathematics or statistics, and significant experience in data science or machine learning. You should have a proven track record of developing and implementing analytical and data science modeling solutions, as well as experience working with large datasets and solving complex business problems. Essential Qualifications At least a Master's degree in Mathematics, Statistics, or a closely related quantitative field At least 7 years of experience as a data or machine learning scientist, including experience with advanced machine learning activities (regression, clustering, and forecasting) Experience with data mining, machine learning, or text mining, as well as mathematical concepts, algorithms, and computational complexity Strong programming skills in languages such as Python, SQL, R, SAS, and experience with data manipulation and risk analysis At least 2 years of experience working with large datasets and solving complex business problems Preferred Qualifications A Ph.D. degree in Mathematics, Statistics, or a closely related quantitative field At least 4 years of experience as a data or machine learning scientist, including experience with advanced machine learning activities (regression, clustering, and forecasting) Experience with Hive or Hadoop, machine learning, text mining, and Spark Strong experience with data science techniques, including problem statement, feature engineering, model development, testing, and deployment to a production environment Skills and Competencies To succeed in this role, you will need to have a strong foundation in data science and machine learning, as well as excellent programming skills and experience working with large datasets. You should be able to communicate complex technical concepts to non-technical stakeholders and have a proven track record of leading data science projects and collaborating with cross-functional teams. Technical Skills Machine learning and statistical modeling Data mining and text mining Programming languages such as Python, SQL, R, SAS, and Java Data manipulation and risk analysis Experience with Hive or Hadoop, Spark, and other big data technologies Soft Skills Excellent communication and presentation skills Strong collaboration and teamwork skills Ability to lead and manage data science projects Strong problem-solving and analytical skills Career Growth and Learning Opportunities At blithequark, we are committed to the growth and development of our employees. As a Lead Data Scientist, you will have access to a wide range of training and development opportunities, including workshops, conferences, and online courses. You will also have the opportunity to work with a talented team of data scientists and engineers, and to contribute to the development of innovative data science solutions that drive business value. Work Environment and Company Culture At blithequark, we pride ourselves on our dynamic and collaborative work environment. Our team is passionate about data science and machine learning, and we are committed to creating a culture that is inclusive, supportive, and stimulating. We offer a range of perks and benefits, including flexible working hours, remote work options, and a comprehensive benefits package. Compensation and Benefits We offer a competitive salary range of $35 to $50 per hour, depending on experience. In addition to a competitive salary, we offer a range of benefits, including health insurance, retirement savings, and paid time off. We also offer a range of perks, including flexible working hours, remote work options, and a comprehensive benefits package. Conclusion If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Lead Data Scientist at blithequark, you will have the opportunity to work on complex and innovative data science projects, to collaborate with a talented team of data scientists and engineers, and to contribute to the growth and development of our company. Don't miss out on this opportunity to join a dynamic and fast-growing company and to take your career to the next level. Apply now to become a part of our team and to start making a real impact in the retail industry. Apply now to join our team of expert data scientists and to start making a real impact in the retail industry. Apply for this job