**Experienced Full Stack Data Scientist – Statistics**

Remote, USA Full-time
Are you a data-driven individual with a passion for statistics and a knack for solving complex business problems? Do you have a strong background in quantitative analysis and a desire to work with a world-class team at blithequark? Look no further! We are seeking an experienced Full Stack Data Scientist to join our Advanced Innovation group, where you will play a key role in driving business growth and innovation through data-driven insights. **About blithequark** At blithequark, we believe that diversity and inclusion are the keys to driving innovation and growth. Our mission is to "Associate people. Join the world." by fostering a culture of collaboration, creativity, and mutual respect. With a global presence and a team of talented individuals from diverse backgrounds, we are committed to making a positive impact on the world. **Our Culture** We are proud to offer a unique and comprehensive benefits package that includes: * Competitive salary and bonuses * Comprehensive health insurance * Generous parental leave policy * Space available travel perks * Access to cutting-edge technology and tools * Opportunities for professional growth and development * A dynamic and inclusive work environment **Job Summary** As a Full Stack Data Scientist, you will be responsible for providing numerical modeling and analysis services to support business decision-making and drive business growth. You will work closely with cross-functional teams to identify and solve complex business problems, develop and implement data-driven solutions, and communicate insights to stakeholders. **Key Responsibilities** * Develop and implement numerical models and statistical analysis to support business decision-making * Collaborate with cross-functional teams to identify and solve complex business problems * Develop and implement data-driven solutions to drive business growth * Communicate insights and recommendations to stakeholders through clear and concise reports and presentations * Stay up-to-date with the latest trends and advancements in data science and statistics * Participate in model development, deployment, and maintenance for multiple projects * Work with data engineers to design and implement data pipelines and architectures * Develop and maintain data visualizations and dashboards to support business decision-making * Collaborate with business stakeholders to identify and prioritize business needs and opportunities * Develop and maintain relationships with key stakeholders to ensure successful project delivery **Essential Qualifications** * Postgraduate education (PhD or ABD) in a quantitative field, such as statistics, mathematics, or computer science * Strong background in statistical analysis and modeling, including experience with machine learning and deep learning techniques * Experience with programming languages such as R, Python, or Julia * Strong business acumen and ability to communicate complex technical concepts to non-technical stakeholders * Excellent written and verbal communication skills * Ability to work in a fast-paced environment and prioritize multiple projects and tasks * Strong analytical and problem-solving skills * Experience with data visualization tools and technologies, such as Tableau or Power BI **Preferred Qualifications** * Experience with software engineering and programming languages such as C, C++, or Java * Experience with data engineering and data architecture * Experience with cloud-based technologies, such as AWS or Azure * Experience with big data technologies, such as Hadoop or Spark * Experience with data governance and data quality * Experience with data visualization and business intelligence tools * Experience with machine learning and deep learning frameworks, such as TensorFlow or PyTorch **What We Offer** * Competitive salary and bonuses * Comprehensive health insurance * Generous parental leave policy * Space available travel perks * Access to cutting-edge technology and tools * Opportunities for professional growth and development * A dynamic and inclusive work environment **How to Apply** If you are a motivated and talented data scientist with a passion for statistics and a desire to work with a world-class team, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. Apply Job! Apply for this job

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