**Experienced Full Stack Information Researcher – Web & Cloud Application Development at blithequark**

Are you a highly skilled and innovative Information Researcher with a passion for leveraging machine learning (ML) procedures to drive business growth? Do you have a knack for creating, prototyping, and productionizing imaginative models using a range of techniques, including regulated, unaided, and support? If so, we want to hear from you! At blithequark, we're on a mission to revolutionize the way we approach data-driven decision-making. As a key member of our team, you'll have the opportunity to work with cutting-edge technologies and collaborate with a talented group of professionals who share your passion for innovation. **Key Responsibilities:** As an Experienced Full Stack Information Researcher at blithequark, you'll be responsible for: * Designing and developing large-scale datasets, conducting exploratory data analysis, and building models using industry-standard machine learning and AI frameworks * Developing and implementing supervised (linear, logistic regression) and unsupervised algorithms (k-means clustering) * Collaborating with cross-functional teams, including business, design, and partner groups, to drive business outcomes and deliver high-impact solutions * Staying up-to-date with the latest advancements in machine learning and AI, and applying new techniques and strategies to drive business growth * Working with large datasets, preparing and adjusting them to address business questions, and developing expertise in data creation and management * Designing and implementing data pipelines to integrate data from various sources, and developing data visualizations to communicate insights to stakeholders * Collaborating with data scientists and engineers to develop and deploy AI and statistical models at scale, and working with large volumes of data to drive business outcomes **Essential Capabilities:** To succeed in this role, you'll need: * 3+ years of experience as an information researcher or data scientist * 3+ years of experience with data querying languages (e.g., SQL), programming languages (e.g., Python), or statistical/numerical programming (e.g., R, SAS, Matlab) * 3+ years of experience with machine learning and statistical modeling tools and techniques, and understanding of the factors that influence their performance * Experience applying theoretical models in an applied context **Preferred Capabilities:** While not required, experience with the following would be a plus: * Python, Perl, or other programming languages * Experience working in a machine learning or data science role with a large technology organization **Benefits:** As a valued member of the blithequark team, you'll enjoy a comprehensive benefits package, including: * Competitive compensation, including base salary and performance-based bonuses * Comprehensive health insurance plans, including medical, dental, and vision coverage * Retirement plans, including a 401(k) plan with company match * Stock options or grants, allowing you to become a shareholder in the company * Paid time off, including vacation days, holidays, and sick leave * Maternity and paternity leave to support employees welcoming a new child * Tuition assistance through our Career Choice program * Career development opportunities, including training and development programs * Employee discounts on Amazon products and services * Flexible work options, including remote work opportunities * Employee assistance program (EAP) providing confidential counseling and support services * Wellness programs, including gym discounts, mental health resources, and wellness challenges * Commuter benefits, including subsidies for public transportation or parking * Discounts on local services through our partnerships with local businesses **About blithequark:** At blithequark, we're passionate about using data and technology to drive business growth and innovation. Our team is dedicated to delivering high-impact solutions that drive business outcomes, and we're committed to creating a culture of innovation, collaboration, and continuous learning. **How to Apply:** If you're a highly skilled and innovative Information Researcher with a passion for machine learning and data-driven decision-making, we want to hear from you! Please submit your application through our website, including your resume, cover letter, and any relevant samples or portfolios. We can't wait to hear from you! About the Role As an Experienced Full Stack Information Researcher at blithequark, you'll have the opportunity to work on a wide range of projects, from developing and deploying machine learning models to designing and implementing data pipelines. You'll collaborate with cross-functional teams to drive business outcomes and deliver high-impact solutions, and you'll have the chance to work with cutting-edge technologies and tools. Key Responsibilities * Designing and developing large-scale datasets, conducting exploratory data analysis, and building models using industry-standard machine learning and AI frameworks * Developing and implementing supervised (linear, logistic regression) and unsupervised algorithms (k-means clustering) * Collaborating with cross-functional teams, including business, design, and partner groups, to drive business outcomes and deliver high-impact solutions * Staying up-to-date with the latest advancements in machine learning and AI, and applying new techniques and strategies to drive business growth * Working with large datasets, preparing and adjusting them to address business questions, and developing expertise in data creation and management * Designing and implementing data pipelines to integrate data from various sources, and developing data visualizations to communicate insights to stakeholders * Collaborating with data scientists and engineers to develop and deploy AI and statistical models at scale, and working with large volumes of data to drive business outcomes Essential Capabilities * 3+ years of experience as an information researcher or data scientist * 3+ years of experience with data querying languages (e.g., SQL), programming languages (e.g., Python), or statistical/numerical programming (e.g., R, SAS, Matlab) * 3+ years of experience with machine learning and statistical modeling tools and techniques, and understanding of the factors that influence their performance * Experience applying theoretical models in an applied context Preferred Capabilities * Python, Perl, or other programming languages * Experience working in a machine learning or data science role with a large technology organization Benefits * Competitive compensation, including base salary and performance-based bonuses * Comprehensive health insurance plans, including medical, dental, and vision coverage * Retirement plans, including a 401(k) plan with company match * Stock options or grants, allowing you to become a shareholder in the company * Paid time off, including vacation days, holidays, and sick leave * Maternity and paternity leave to support employees welcoming a new child * Tuition assistance through our Career Choice program * Career development opportunities, including training and development programs * Employee discounts on Amazon products and services * Flexible work options, including remote work opportunities * Employee assistance program (EAP) providing confidential counseling and support services * Wellness programs, including gym discounts, mental health resources, and wellness challenges * Commuter benefits, including subsidies for public transportation or parking * Discounts on local services through our partnerships with local businesses About blithequark At blithequark, we're passionate about using data and technology to drive business growth and innovation. Our team is dedicated to delivering high-impact solutions that drive business outcomes, and we're committed to creating a culture of innovation, collaboration, and continuous learning. How to Apply If you're a highly skilled and innovative Information Researcher with a passion for machine learning and data-driven decision-making, we want to hear from you! Please submit your application through our website, including your resume, cover letter, and any relevant samples or portfolios. We can't wait to hear from you! Apply for this job